From root@crcnis1.unl.edu Mon Jul 3 19:02 EDT 1995
Date: Mon, 3 Jul 1995 18:02:03 -0500
Message-Id: <9507032254.AA18343@sunsite.oit.unc.edu>
From: listserv@unl.edu
Subject: GET AGMODELS-L LOG9501

Archive AGMODELS-L: file log9501, part 1/1, size 104090 bytes:

------------------------------ Cut here ------------------------------


From simoned@capri.ind.dpi.qld.gov.au Mon Jan 9 12:03:59 1995
From: "Don Simonetta" <simoned@capri.ind.dpi.qld.gov.au>
Message-Id: <9501091703.ZM18751@capri>
Date: Mon, 9 Jan 1995 17:03:59 -0500
Subject: cataloguing data &/or model

Dear Ag Modellers

I am in the process of creating a catalogue of data objects that relate to a
specific spatial area of interest. This will include objects such as: soil
maps, satellite images, digital cadastral databases, weather station data,
shire yeilds, disease outbreaks etc.

The catalogue will also include data that is a result of processing through
some kind of model. Eg: the weather station data is processed through a spline
model to create data on a 10km grid.

The kind of information I will be storing includes:
- name of data custodian
- when data is valid from/to
- scale
- quality
- geographic coverage

As the data objects I wish to catalogue are of entirely different types, the
information I need to store for each of these different types varies greatly.

I was wondering if anyone had any suggestions to the kind of information I
should be storing or better still if anyone had undertaken a similar exercise.

--
_______________________________________________________________________________
Don Simonetta | Phone: (07) 877 9772 [local]
Department of Primary Industries | +61 7 877 9772 [international]
Brisbane QLD Australia |
simoned@dpi.qld.gov.au | Fax: (07) 877 9772
-------------------------------------------------------------------------------



From GRUSSELL@srv0.bio.edinburgh.ac.uk Mon Jan 9 09:53:16 1995
From: Graham Russell <GRUSSELL@srv0.bio.edinburgh.ac.uk>
Date: Mon, 9 Jan 1995 09:53:16 +0000
Subject: Re: cataloguing data &/or model
Message-Id: <135494146F@srv0.bio.ed.ac.uk>

Don Simonetta's catalogue sounds very interesting. One
issue that was not mentioned is the reliability for
particular purposes. As data become more freely
available, there will be an increasing tendancy for
researchers unfamiliar with the knowledge domain to pull
down data sets and use them for whatever the purpose is
they have to hand. In many ways this is great. However,
the domain experts generally know a lot more about the
data sets than can be encompassed in a standard database.
Some of this meta-information is given in Don's five
information categories but there is a lot of more subtle
information. For example, the term 'yield' as used in the
FAO yearbooks is actually calculated in different ways,
may be given for different moisture contents and have
different coefficients of variation in different
countries. Some meteorological stations have non-standard
exposures or are in topographically unusual situations. I
am currently trying to build a database of met. stations
in Scotland which includes information on these factors so
that stations appropriate for a particular purpose can be
found (these are not necessarily the nearest station and
may involve the use of other factors such as altitude as
co-variates). Thus the type of information that is
appropriate depends on the purpose for which they are
required.

One problem with spatial data is that they are often
secondary, i.e. derived from primary survey data by
interpolation. It is often tempting to smooth this
secondary data further thus increasing the deviations from
the original data. Wherever possible, derived spatial data
should be tagged with the method of spatialisation so that
if it is inappropriate for the purpose, the potential user
can be re-directed to the original data (assuming it is
available). The question of scale comes in here. With the
advent of digital maps, the concept of scale as in the
representative fraction (I think that that is what it is
called, i.e. 1:1000000) is no longer valid. You just zoom
in or out to get the RF you want. What is important is the
resolution, i.e. the smallest size of inlier that can be
distinguished. Unfortunately the resolution may vary across
the map! Here in Europe we have the nominal 1:1 000000
digital soils map and database. It is a great effort that
reflects well on the people who have expended large amounts
of time in ensuring its accuracy. It is also the best that
we have (that crosses country boundaries) and has been use
by crop modellers. However, its resolution is too low for
some modelling purposes.

The issue of quality is an extremely important one for
internet users. Put bluntly, not all data providers have the
same skills, facilities and resources. Some data have
also been modified for particular purposes ( no doubt for
reasons that seemed good at the time) by people who are
not the originators before being put in the public domain.
There are even typographical errors caused when data are
not transferred electronically at some stage in the data
transmission chain. Last year I was looking for the latitude,
longitude and altitude of meterological stations in two
electronic databases and one book. These should be
identical. Were they? There was a small but potentially
significant level of serious errors. Some, e.g. confusing
longitude west and east, were easy to pick up. However,
others were more difficult. These locational doubts are
particularly problematical when the station in question
occupies a position near the edge of the spatialisation
area.

There is a grave danger of degradation of data quality
unless mechanisms are set up to protect the primary sources
and label the secondary ones. It does not matter so much
if a researcher comes to the wrong conclusion because of
bad data. This is all part of the progress of science.
But when a politician is given poor or misleading
information how can theybe expected to make good decisions?

Don, how do you intend to assess quality and can quality be
separated from purpose? Do we need panels of people who
can validate data sets before they are placed in the public
domain?

Best wishes

Dr G. Russell
University of Edinburgh
Institute of Ecology & Resource Management (Agriculture Building)
West Mains Road
Edinburgh EH9 3JG
SCOTLAND
International phone +44 31 535 4063 Fax +44 31 667 2601
UK phone 031 535 4063 Fax 031 667 2601


From woodard@igc.apc.org Mon Jan 9 03:39:10 1995
Date: Mon, 9 Jan 1995 11:39:10 -0800
Message-Id: <199501091939.LAA19358@mail.igc.apc.org>
From: woodard@igc.apc.org (Woody)
Subject: Re: cataloguing data &/or model

Don Dimonetta Says:
<stuff deleted>
>I am in the process of creating a catalogue of data objects that relate to a
>specific spatial area of interest. This will include objects such as: soil
>maps, satellite images, digital cadastral databases, weather station data,
>shire yeilds, disease outbreaks etc.
>
>The kind of information I will be storing includes:
> - name of data custodian
> - when data is valid from/to
> - scale
> - quality
> - geographic coverage
>
<stuff deleted>
The purpose of the catalogue may need to be defined more precisely, i.e.,
what do you want to do with the stored data, do you want to be able to
dynamicaly process information from these multiple data sets, or will it be
more of an interface to perform data retreival and indexing? I'm assuming
this is all electronic data. In the latter case, which sounds like what
you're describing, maybe some type of master database (hypertext?) with the
english description of the fields you've already defined, with a link to the
different paths/filenames/application programs may be sufficient. This
cannot be too verbose, as a potential user would need to know all of the
gory details of the actual data(formulas/calculations/units/etc.), and this
would be a good place to centralize that kind of information. The platforms
available for implementation also have an impact on the best way to
store/retreive the data. A Mac might be a good choice (although I'm an IBM
type) for quick development of a hypertext point-and-click retreival system.

In Response, Graham Russel Says:
<good stuff deleted>
>One problem with spatial data is that they are often
>secondary, i.e. derived from primary survey data by
>interpolation. It is often tempting to smooth this
>secondary data further thus increasing the deviations from
>the original data. Wherever possible, derived spatial data
>should be tagged with the method of spatialisation so that
>if it is inappropriate for the purpose, the potential user
>can be re-directed to the original data (assuming it is
>available)

Very true, especially when using weather data. To give an example, I had
downloaded a set of weather data from a gossym/comax weather station. A
listing with the lat/lon elevation etc. data for all of the weather stations
was listed. By an odd quirk, I had already calculated the lat/lon of the
station, since our research plots were very near the station. When I looked
at the listing provided, it placed the station about 25km distant from where
it was actually located. When discussing this with the personnel that ran
the board (their office was right behind mine), that error had propogated
for about 5 years. Along the same lines while discussing this error, I
requested other data from their programmer (since a direct copy would be
faster than a modem transfer), and I noticed that he went to different
locations to get the data, and mentioned 'processing' it for me. When I
asked what kind of processing was happening, he said that he ran all of the
raw data through what I perceived to be an obscure software package that
fitted the actual temperature and humidity data to a sine curve, and
basically 'made the data look nice'. That was all fine and dandy, but may
have potentially caused a lot of confusion, wasted time, and incorrect
conclusions. The moral of the story is: Ask a lot of questions about the
data you're about to receive......
/***************************************************************************
******************/
Jeff Woodard Glades Crop Care voice:
407-746-3740
18665 127th Dr N 949 Turner Quay fax:
407-746-3775
Jupiter, FL 33458 Jupiter, FL 33478
e-mail: woodard@igc.apc.org - jwoodard@crl.nmsu.edu - woody@taipan.nmsu.edu
woody@ios.com woody0@aol.com

Life is nothing but a null pointer followed by a core dump.
-Too stupid to come up with even a standard disclaimer-
/***************************************************************************
******************/



From jlory@unl.edu Tue Jan 10 10:10:12 1995
Message-Id: <9501102113.AA29405@unlinfo.unl.edu>
Date: Tue, 10 Jan 1995 15:10:12 -0500
From: jlory@unl.edu (John Lory)
Subject: modeling ammonia volatilization

I am looking for computer models that could predict ammonia losses
from urine added to the surface of beef cattle feedlots. The model must
have the ability to predict urea hydrolysis and subsequent ammonia
volatilization on a maximum of a 1 to 2 hour time step. I would appreciate
leads on models that may do the job, and names of people who have had
experience using such models.

Thanks.
John A. Lory <jlory@unl.edu>
USDA-ARS, 119 Keim Hall-East Campus
University of Nebraska-Lincoln
Lincoln, NE 68583-0915
(402)472-1516 (w), (402)466-8735 (h)



From peterco@apsrusg.sth.dpi.qld.gov.au Tue Jan 17 07:23:16 1995
Message-Id: <9501170226.AA15953@apsrusg.sth.dpi.qld.gov.au>
Date: Tue, 17 Jan 1995 12:23:16 EST
From: peterco@apsrusg.sth.dpi.qld.gov.au (Peter Cox)
Subject: 1996 Agronomy Conference

Conference Notice

******************************
8th Australian Agronomy Conference
Toowoomba, Queensland, Australia
30th Jan - 2nd Feb, 1996
******************************

"Agronomy - Science with its sleeves rolled up" is the
conference theme chosen to reflect the practical nature of
agronomy in dealing with production and environmental issues in
Australia. We encourage papers dealing with production,
economic and environmental aspects of agricultural management
through to the transfer of information to a diverse group of
clients. We shall examine the economic importance of
agriculture and the discipline of agronomy in its broadest
sense. Links between technology and people will get attention
as it becomes increasingly apparent that the transfer of
information remains challenging. Papers about developments in
technology for all areas of crop and pasture production are
encouraged. The conference will consist of two and a half days days of
plenary and concurrent sessions, posters and a full day field
tour.

Programme themes include:
Agronomy and the Australian Economy
Agronomy and the Environment
Agronomy and the Future.

Registration will be approximately $400, with accommodation
available at $50/day. Details of deadlines and submission
requirements will be posted in January, 1995.

To receive details for paper submission and conference attendance,
please contact:

Meetings and Events,
The University of Southern Queensland,
PO Box 282,
Darling Heights,
Qld 4350, Australia

Ph (076) 312 581
Fax (076) 355 550

David Freebairn
QDPI/CSIRO Agricultural Production System Research Unit
PO Box 102, Toowoomba, Qld 4350, Australia

Ph (076) 314 391
Fax (076) 332 678
Email davef@apsrusg.sth.dpi.qld.gov.au

-------------------------------------------------------------
Peter Cox
Agricultural Production Systems Research Unit
PO Box 102, 203 Tor Street
Toowoomba
Queensland 4350 Australia

Ph: (076) 314298
Fax: +61 (076) 332678
Email: peterco@apsrusg.sth.dpi.qld.gov.au
============================================================



From DIGUST@ccmail.monsanto.com Tue Jan 17 05:16:36 1995
Date: Tue, 17 Jan 95 11:16:36 cst
From: DIGUST@ccmail.monsanto.com
Message-Id: <9500177903.AA790370687@ccmail.monsanto.com>
Subject: Burial Sites

Adam Krause -
akrause@vm.cc.uni.torun.pl

Sorry this reply has taken so long. Thanks for the kind words in your note.
In answer to your two questions:

1 - The DRASTIC model published by the US/EPA may be useful for quantifying the
relative risk at your burial sites. Another possible choice is the SEISMIC
model developed by John Hollis and Andree Carter of the UK Soil Survey.

2 - The USGS has a number of point source models that may be useful. By copy
of this note I am sending your request to the AGMODELS-L@UNL.EDU listserver on
the INTERNET.

Best Regards,

David Gustafson
Monsanto - BB5F
700 Chesterfield Pkwy N
St. Louis, MO 63198
voice: 314/537-7194
fax: 314/537-6134
email: digust@ccmail.monsanto.com



From APEACOCK@elinet1.dowelanco.com Tue Jan 17 07:55:37 1995
Date: Tue, 17 Jan 1995 12:55:37 -0500 (EST)
From: ALAN PEACOCK <APEACOCK@elinet1.dowelanco.com>
Message-Id: <950117125537.263c@ELINET1.DOWELANCO.COM>
Subject: depth to groundwater

Greetings from Indiana!

I am working on a project which will require data on depth to
groundwater for several areas in the contiguous United States.
Does anyone have information on where this data can be acquired?
Any ideas would be appreciated.

Please reply directly to my email address below.

Thanks,

Alan Peacock
apeacock@elinet1.dowelanco.com

Any ideas expressed herein are my own and do not necessarily
reflect those of my employer.



From mike@arrc.ncsu.edu Tue Jan 17 09:11:40 1995
Date: Tue, 17 Jan 95 14:11:40 EST
From: mike@arrc.ncsu.edu (Mike Munster)
Message-Id: <9501171911.AA19296@darwin.arrc.ncsu.edu>
Subject: Re: depth to groundwater

Alan:

The U.S. Geological Survey does work in this area, and
even monitors changes in water levels in wells. There
could be several sources of information ... as an example
I have a copy of Steele, Gregory V. and Wigley, Perry B.
1992. "Groundwater-level Changes in Nebraska, 1991"
Nebraska Water Survey Paper 71. Prepared in cooperation
with the U.S. Geological Survey. Conservation and Survey
Division. Institute of Agriculture and Natural Resources,
University of Nebraska, Lincoln.

I recommend speaking with the nearest USGS office to
see what is available locally.

-=|Mike|=-

<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>
| MIKE MUNSTER |
<> EMAP-Agricultural Lands phone 919-515-3311 <>
| 1509 Varsity Dr. fax 919-515-3593 |
<> Raleigh, NC 27606 email mike_munster@ncsu.edu <>
| USA |
<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>-<>




From tkelly@ncsr.arsusda.gov Thu Jan 19 02:01:32 1995
Date: Thu, 19 Jan 95 10:01:32 PST
From: tkelly@ncsr.arsusda.gov
Subject: whole-farm simulation model
Message-Id: <Chameleon.4.00.4.950119103336.tck@sustag.arsusda.gov>

Greetings,

We are currently working with ARS agricultural scientists here at Beltsville,
MD to evaluate the economics of alternative cultural practices as part of the
Sustainable Agriculture Project. These practices typically involve rotations
of common grain crops with forage legumes and other cover crops, and the
applications of manures and other types of compost. In order to understand
long-term economic and environmental impacts, we are looking for a way to
simulate the alternative systems in a farm-level context. Does anyone know of
a modeling system or a suite of models which can simulate crop growth in
rotation over many years, includes or can easily be adapted for forage legumes
(such as hairy vetch) and other cover crops, and can account for environmental
factors such as soil erosion and the fate of chemicals in ground and surface
waters? Any suggestions will be appreciated and may be posted directly to me.
I would also be interested in discussing our modeling ideas with anybody doing
similar work.

Thank you,

Terry

Terry Kelly
Sustainable Agriculture Project
USDA-ARS Systems Research Lab
Rm. 11, Bldg. 007, BARC-W
Beltsville, MD 20705 USA
(301) 504-5824; fax: (301) 504-5823
internet: tkelly@ncsr.arsusda.gov



From thodges@beta.tricity.wsu.edu Thu Jan 19 00:00:00 1995
Date: Thu, 19 Jan 1995 08:00:00 -0800 (PST)
From: Tom Hodges <thodges@beta.tricity.wsu.edu>
Subject: American Society of Agronomy - 1995 Call For Papers
Message-Id: <Pine.ULT.3.91.950119075655.22876E-100000@beta.tricity.wsu.edu>

This and the following message cover submission of papers to the
Annual Meetings of the ASA-CSSA-SSSA.

Tom Hodges Cropping Systems Modeler ___ ___
USDA-ARS / \_/ \
Rt. 2, Box 2953-A Telephone: 509-786-9207 | |
Prosser, WA 99350 Fax: 509-786-9370 \______/^\/
USA potato tuber
============= thodges@beta.tricity.wsu.edu ========================
...photosynthesis makes the world go around... Mr. Potato Head

First Call for Papers
American Society of Agronomy
Crop Science Society of America
Soil Science Society of America
Annual Meetings

Oct. 29-Nov. 3, 1995 St. Louis, Missouri

Application Deadline: April 8, 1995

Background Information
This year's meeting theme is "Gateway to the Future". Members of
the American Society of Agronomy are dedicated to the conservation and
wise use of natural resources to produce food, feed, and fiber crops
while maintaining or improving the environment. For over 86 years,
agronomists throughout the world have recognized the American Society
of Agronomy as their professional home. The Crop Science Society of
America is comprised of scientists interested in all aspects of crop
science including the improvement, culture, management, and utilization
of field crops. Members of the Soil Science Society of America focus
their interest upon soil physics, chemistry, microbiology, fertility,
pedology, conservation, forest soils, mineralogy, and wetlands.
These three Societies were established as independent, autonomous
organizations. Because of their common interests, however, they work
closely together and share the same headquarters office in Madison,
Wisconsin. Total membership is 12,500. Over 4,000 scientists from
throughout the world will attend the 1995 annual meetings in St. Louis.

To Present a Paper in St. Louis
Society regulations require at least one author to hold membership
in the American Society of Agronomy, Crop Science Society of America,
or Soil Science Society of America. The deadline for registration of
papers is April 8, 1995. Additional program regulations are published
in the Second Call for Papers. The Second Call for Papers will be
published in the Febuary 1995 issue of Agronomy News sent to all Society
members. For non-members to receive a copy of the Second Call for
Papers contact:

ASA, CSSA, SSSA Headquarters Office
Attn: Second Call for Papers
677 South Segoe Road
Madison, WI 53711-1086 USA

Phone: (608) 273-8080
FAX: (608) 273-8089

Individuals desiring to present a paper in the Computer Software
Scene or Division S-1 (Soil Physics) can obtain an EMail registration
form via EMail. Send your EMail request to:

Computer Software Scene potmod@beta.tricity.wsu.edu
Division S-1, Soil Physics rhorton@iastate.edu

These EMail addresses are valid only for individuals wanting to
present their paper in the Computer Software Scene or Division S-1.
All other requests must be made to the ASA, CSSA, SSSA Headquarters
Office at the address shown above.
=========================================================================
Numerous Symposia are organized for each ASA-CSSA-SSSA Annual Meeting.
Those planned by the Software Scene for 1995 are listed below.

Software Scene:
1. Global Networking and Databases. Oral, Poster, and Computer
demonstrations are invited on use of global computer networks
such as the Internet and use of agronomic databases
available over such networks in agricultural research and
applications. Contact Dr. Wendell Oak (303-282-2473) for
more detailed information. Joint with division A-5.
2. Demonstrations of Internet Resources. What agronomic
resources are available over the Internet? The World Wide Web,
Gopher, FTP, Telnet, Usenet Forums, EMail lists, etc. may be
demonstrated and potential uses/applications in agricultural
production and research. Oral and poster presentations may
also be suitable. Contact Dr. Tom Hodges (509-786-9207,
thodges@beta.tricity.wsu.edu) for more detailed information.
Joint with division A-1.

3. Development of User Interfaces for Agronomic Models and other
Software Applications. The user interface (appearance) of a
software application has a large effect on the user's ability
to use it easily and correctly. Oral, Poster, and Computer
demonstrations are invited on types of interfaces, principles of
design, interface development tools, and use of interfaces.
Contact Dr. Dennis Timlin (301-504-6255, dtimlin@ncsr.arsusda.gov)
for more detailed information. Joint with division A-1.


From thodges@beta.tricity.wsu.edu Thu Jan 19 00:04:04 1995
Date: Thu, 19 Jan 1995 08:04:04 -0800 (PST)
From: Tom Hodges <thodges@beta.tricity.wsu.edu>
Subject: American Society of Agronomy - 1995 Submission of Papers
Message-Id: <Pine.ULT.3.91.950119080015.22876F-100000@beta.tricity.wsu.edu>

These are forms for submitting papers at the 1995 ASA-CSSA-SSSA
Annual Meetings for the Software Scene and Soil Physics Divisions.
Contact the ASA Headquarters for forms to be used for submitting
papers to other divisions.

Tom Hodges

Tom Hodges Cropping Systems Modeler ___ ___
USDA-ARS / \_/ \
Rt. 2, Box 2953-A Telephone: 509-786-9207 | |
Prosser, WA 99350 Fax: 509-786-9370 \______/^\/
USA potato tuber
============= thodges@beta.tricity.wsu.edu ========================
...photosynthesis makes the world go around... Mr. Potato Head

1995 ASA, CSSA, SSSA Annual Meeting Title-Summary Form Oct. 29-Nov. 3, 1995
St. Louis, MO

DIRECTIONS: use only English when filling out form. Greek, Latin,
and mathematical symbols are strictly prohibited. This EMail form
is only for use with oral and poster papers submitted to the Soil
Physics division (S01) or Software Scene (C00). For software
demonstration papers, use the form below.

Use additional space as needed in sections below.

1. Method of submission:
___ EMAIL (S-1 and Software Scene only)

2. Division of interest: In which division would you like to present
your paper? See below for list of divisions.

First Choice ___ Second Choice ___

3. Title: Use English only. No Greek, Latin, or Mathematical symbols.
No more than 160 characters.

4. Author Name(s) : Put authors' Initials and Last name. List the
senior author first. Put "*" at end of speaker/presenter's last
name. At least one author of a volunteered paper must hold some
class of membership in ASA, CSSA, or SSSA.

5. Corresponding Author Data (membership number on back cover of
your Agronomy News).
Membership # _____ Phone___-___-____ FAX ___-___-____
First Name __________ M.I. _ Last name _________________________
Address ____________________________________________________________
City __________________ State/Prov __ Zip _____ Country _________
EMail ________________________________________

6. Method of Presentation ___ poster ___ oral

7. Paper Status ___ Volunteered ___ Invited - which division? ___

8. Summary

Return completed form by April 8, 1995 to:
ASA, CSSA, SSSA Headquarters, Attn: Keith Schlesinger; 677 South Segoe
Road; Madison WI 53711-1086 USA

Title-Summary Form Fax: (608) 273-8089 Title Summary forms only
Office phone: (608) 273-8080 ext 322

Questions may be referred to the Office phone or by EMail to:

Software Scene: Tom Hodges thodges@beta.tricity.wsu.edu
SSSA S-1: Robert Horton rhorton@iastate.edu

==========================================================================
Cut Here
==========================================================================

Software Scene Information Form: For Computer Demonstrations Only

1995 ASA, CSSA, SSSA Annual Meeting Title-Summary Form Oct. 29-Nov. 3, 1995
St. Louis, MO

DIRECTIONS: use only English when filling out form. Greek, Latin,
and mathematical symbols are strictly prohibited. Send only this
form by FAX by April 8, 1995 to: (608) 273-8089. This fax line is used
exclusively for transmission of Title-Summary Forms. You may also mail
your Title-Summary form by April 8, 1995 to ASA, CSSA, SSSA Headquarters
Office; Attn: Keith Schlesinger, 677 South Segoe Road; Madison WI
53711-1086 USA
Use additional space as needed in sections below.

1. Method of submission:
___ FAX ___ MAIL ___ E-Mail (S-1 or software scene only)

2. Symposium of interest: Is there a Symposium in which you would like
to present your software demonstration?

Name of Symposium: _______________________________________________

3. Title: Use English only. No Greek, Latin, or Mathematical symbols.
No more than 160 characters.

4. Author Name(s) : Put authors' Initials and Last name. List the
senior author first. Put "*" at end of speaker/presenter's last
name. At least one author of a volunteered paper must hold some
class of membership in ASA, CSSA, or SSSA.

5. Corresponding Author Data (membership number on back cover of
your Agronomy News).
Membership # _____ Phone___-___-____ FAX ___-___-____
First Name __________ M.I. _ Last name _________________________
Address ____________________________________________________________
City __________________ State/Prov __ Zip _____ Country _________
EMail ________________________________________

6. Method of Presentation ___ computer demonstration only
Use form above for oral or poster presentations.

7. Paper Status ___ Volunteered ___ Invited - which division? ___

8. Summary

9. Computer Hardware Requirements:
a. IBM-Compatible microcomputer 80486__
Macintosh 68040 PowerPC__
Older models and operating systems may not be available.
IBM-Compatibles will have MS-DOS and Windows installed

b. Minimum hard disk capacity ___ MByte
c. Minimum memory requirements ____ KByte
d. 3.5" floppy drive__ CDRom drive__
e. Math Coprocessor Required? Yes___ No___
f. Printer Required? Yes___ No___
Epson Compatible (80 col) __ (132 col) __ Laser Printer__
Postscript capable __
Other (excluding compatible with above) _______________________
h. Special monitor or graphics card required? Yes___ No___
If yes, please specify _______________________________________
i. Other equipment needs (sound cards, etc.)

10. Will you be able to provide any non-IBM-Compatible microcomputer
or other special equipment needs you listed? ____
Note: ASA will provide most equipment through a rental agreement.
SPECIAL EQUIPMENT WILL BE AT AUTHOR'S EXPENSE.

11. Intended users of this software: _________________________________

12. Please indicate ASA-CSSA-SSSA Division(s) with which this
demonstration could be cross listed: _____________________________

Return completed form by April 8, 1995 to:
ASA, CSSA, SSSA Headquarters, Attn: Keith Schlesinger; 677 South Segoe
Road; Madison WI 53711-1086 USA

Title-Summary Form Fax: (608) 273-8089 Title Summary forms only
Office phone: (608) 273-8080 ext 322

Questions may be referred to the Office phone or by EMail to:

Software Scene: Tom Hodges thodges@beta.tricity.wsu.edu
SSSA S-1: Robert Horton
==========================================================================
Cut Here
==========================================================================

ASA-CSSA-SSSA Divisions and Numbers:
A00 Student Activities
A01 Resident Education
A02 Military Land Use and Management
A03 Agroclimatology and Agronomic Modeling
A04 Extension Education
A05 Environmental Quality
A06 International Agronomy
A07 Agricultural Research Station Management
A08 Integrated Agricultural Systems
C00 Computer Software Scene

C01 Crop Breeding, Genetics, and Cytology
C02 Crop Physiology and Metabolism
C03 Crop Ecology, Production, and Management
C04 Seed Physiology, Production, Technology
C05 Turfgrass Science
C06 Crop Quality and Utilization
C07 Cell Biology and Molecular Genetics
C08 Plant Genetic Resources

S01 Soil Physics
S02 Soil Chemistry
S03 Soil Biology and Biochemistry
S04 Soil Fertility and Plant Nutrition
S05 Soil Pedology
S06 Soil and Water Management and Conservation
S07 Forest and Range Soils
S08 Nutrient Management and Soil and Plant Analysis
S09 Soil Mineralogy
S10 Wetland Soils
S11 Soils and Environmental Quality
==========================================================================
==========================================================================
Numerous Symposia are organized for each ASA-CSSA-SSSA Annual Meeting.
Those planned by the Software Scene are listed below.

Software Scene:
1. Global Networking and Databases. Oral, Poster, and Computer
demonstrations are invited on use of global computer networks
such as the Internet and use of agronomic databases
available over such networks in agricultural research and
applications. Contact Dr. Wendell Oak (303-282-2473) for
more detailed information. Joint with division A-5.
2. Demonstrations of Internet Resources. What agronomic
resources are available over the Internet? The World Wide Web,
Gopher, FTP, Telnet, Usenet Forums, EMail lists, etc. may be
demonstrated and potential uses/applications in agricultural
production and research. Oral and poster presentations may
also be suitable. Contact Dr. Tom Hodges (509-786-9207,
thodges@beta.tricity.wsu.edu) for more detailed information.
Joint with division A-1.

3. Development of User Interfaces for Agronomic Models and other
Software Applications. The user interface (appearance) of a
software application has a large effect on the user's ability
to use it easily and correctly. Oral, Poster, and Computer
demonstrations are invited on types of interfaces, principles of
design, interface development tools, and use of interfaces.
Contact Dr. Dennis Timlin (301-504-6255, dtimlin@ncsr.arsusda.gov)
for more detailed information. Joint with division A-1.


From ct16@cornell.edu Thu Jan 19 09:23:22 1995
Date: Thu, 19 Jan 1995 13:23:22 -0400 (EDT)
From: "Ching-pin Tung" <ct16@cornell.edu>
Message-Id: <48205.ct16@cornell.edu>
Subject: Comments?

I am writing a simple maize simulation model for my watershed management
study. I use solar radiation to estimate gross dry matter increase rate and
use temperature (GDD) to describe crop phenology. Daily temperature and
solar radiation are the input data of the model. When I increase daily
temperature for 3 oC, the developing period is shorten as expected. However,
the final grain yields are also reduced due to shorter grain formation and
maturing period. Is this reasonable?

Thanks!

Tung
**********************************************************************
Ching-pin Tung
Graduate Student Phone: +1-607-257-1241
Civil & Environmental Engineering Fax : +1-607-257-1241
Cornell University Email: ct16@cornell.edu
Ithaca, NY 14850
USA
**********************************************************************


From ambebihn@student.msu.edu Thu Jan 19 09:46:51 1995
Message-Id: <9501191946.AA28458@student2.cl.msu.edu>
Subject: Re: whole-farm simulation model
Date: Thu, 19 Jan 1995 14:46:51 -0500 (EST)
From: "Neba Michael Ambe" <ambebihn@student.msu.edu>
In-Reply-To: <Chameleon.4.00.4.950119103336.tck@sustag.arsusda.gov> from "tkelly@ncsr.arsusda.gov" at Jan 19, 95 09:34:58 am

>
It seems CERES-Maize model may do the job for you. As far as I know you can
modify the soil, weather, crop, etc. databases.

It is capable of simulating crop growth for many years either in sequence, i.e.
if you want the previous year's output to be the input for the next year or
as separate years.

If you that sounds like what you are interested let me know and will give
some names to contact.

neba

> Greetings,
>
> We are currently working with ARS agricultural scientists here at Beltsville,

> MD to evaluate the economics of alternative cultural practices as part of the

> Sustainable Agriculture Project. These practices typically involve rotations

> of common grain crops with forage legumes and other cover crops, and the
> applications of manures and other types of compost. In order to understand
> long-term economic and environmental impacts, we are looking for a way to
> simulate the alternative systems in a farm-level context. Does anyone know of

> a modeling system or a suite of models which can simulate crop growth in
> rotation over many years, includes or can easily be adapted for forage legumes

> (such as hairy vetch) and other cover crops, and can account for environmental

> factors such as soil erosion and the fate of chemicals in ground and surface
> waters? Any suggestions will be appreciated and may be posted directly to me.

> I would also be interested in discussing our modeling ideas with anybody doing

> similar work.
>
> Thank you,
>
> Terry
>
> Terry Kelly
> Sustainable Agriculture Project
> USDA-ARS Systems Research Lab
> Rm. 11, Bldg. 007, BARC-W
> Beltsville, MD 20705 USA
> (301) 504-5824; fax: (301) 504-5823
> internet: tkelly@ncsr.arsusda.gov
>
>
>



From dlyons@vax1.tcd.ie Thu Jan 19 21:36:58 1995
Message-Id: <9501192033.AA16183@stats.tcd.ie>
Date: Thu, 19 Jan 1995 20:36:58 +0100
From: Donal Lyons <dlyons@vax1.tcd.ie>
Subject: Re: whole-farm simulation model

>It seems CERES-Maize model may do the job for you. As far as I know you can
>modify the soil, weather, crop, etc. databases.
>If you that sounds like what you are interested let me know and will give
>some names to contact.
>
>neba

I'd also be interested in this information. Perhaps you could copy me with
it or just post it to the list?
Many Thanks,
Donal.

Donal Lyons, E-mail dlyons@vax1.tcd.ie
Department of Statistics, FAX +353 1 661 5046
Trinity College, Dublin 2, AnswerPhone +353 1 608 1767
Ireland. Phone (1000-1700 GMT) +353 1 608 1919



From thodges@beta.tricity.wsu.edu Thu Jan 19 05:49:48 1995
Date: Thu, 19 Jan 1995 13:49:48 -0800 (PST)
From: Tom Hodges <thodges@beta.tricity.wsu.edu>
Subject: Re: Comments?
In-Reply-To: <48205.ct16@cornell.edu>
Message-Id: <Pine.ULT.3.91.950119133528.29466C-100000@beta.tricity.wsu.edu>

There have been several inquiries about modeling, esp. CERES-Maize.

Ching-pin Tung asks whether yield should decrease when grain filling
period decreases because of higher temperature:
His model is showing different temperature response slopes for development
during grain filling and rate of grain filling (or possibly net assimilation)
with the grain filling rate increasing less rapidly than the duration
of grain filling decreases, e.g. +1.2 for grain fill and -1.3 for duration
or something like that. His question must be whether his rates are
reasonable.

Actually at sufficiently high temperatures, grain fill rate will also
decrease, causing a large yield decrease. But at moderately high
temperatures, yield may increase or decrease and may be different for
various hybrids. Anyone have experience with this?

Someone else wants to modify a model for hairy vetch. CERES-Maize
has been suggested. I don't think it will be very easy. Certainly
some detailed growth data with associated climate data will be called
for. The growth and development module from SIMPOTATO as installed
in 2dsoil model would also be a possible model to adapt. It is pretty
modular and pretty independent of the soil/climate modules in terms of
programming considerations.

Tom

Tom Hodges Cropping Systems Modeler ___ ___
USDA-ARS / \_/ \
Rt. 2, Box 2953-A Telephone: 509-786-9207 | |
Prosser, WA 99350 Fax: 509-786-9370 \______/^\/
USA potato tuber
============= thodges@beta.tricity.wsu.edu ========================
...photosynthesis makes the world go around... Mr. Potato Head

On Thu, 19 Jan 1995, Ching-pin Tung wrote:

> I am writing a simple maize simulation model for my watershed management
> study. I use solar radiation to estimate gross dry matter increase rate and
> use temperature (GDD) to describe crop phenology. Daily temperature and
> solar radiation are the input data of the model. When I increase daily
> temperature for 3 oC, the developing period is shorten as expected. However,
> the final grain yields are also reduced due to shorter grain formation and
> maturing period. Is this reasonable?
>
> Thanks!
>
> Tung
> **********************************************************************
> Ching-pin Tung
> Graduate Student Phone: +1-607-257-1241
> Civil & Environmental Engineering Fax : +1-607-257-1241
> Cornell University Email: ct16@cornell.edu
> Ithaca, NY 14850
> USA
> **********************************************************************
>


From cole@dg-rtp.dg.com Thu Jan 19 12:30:23 1995
Date: Thu, 19 Jan 1995 17:30:23 -0500
From: cole@dg-rtp.dg.com (Bill Cole - 919-248-6118)
Message-Id: <9501192230.AA11211@escssv1>
Subject: Re: Comments?

> There have been several inquiries about modeling, esp. CERES-Maize.

<snip>

> Someone else wants to modify a model for hairy vetch. CERES-Maize
> has been suggested. I don't think it will be very easy. Certainly
> some detailed growth data with associated climate data will be called
> for. The growth and development module from SIMPOTATO as installed
> in 2dsoil model would also be a possible model to adapt. It is pretty
> modular and pretty independent of the soil/climate modules in terms of
> programming considerations.
>

Tom --

Any chance we could get the sources??

/Bill Cole : To do right, love justice and walk humbly.
(919)248-6118
Data General Corp.
Enterprise Application Customer Support Center
RTP, NC
The opinions are my own, thank you.


From jeffl@heart.cor.epa.gov Thu Jan 19 06:37:42 1995
Date: Thu, 19 Jan 95 14:37:42 PST
Message-Id: <9501192237.AA14332@carbon.cor.epa.gov>
From: jeffl@heart.cor.epa.gov (Jeff Lee)
Subject: Re: whole-farm simulation model

>In order to understand
>long-term economic and environmental impacts, we are looking for a way to
>simulate the alternative systems in a farm-level context. Does anyone know of
>a modeling system or a suite of models which can simulate crop growth in
>rotation over many years, includes or can easily be adapted for forage legumes
>(such as hairy vetch) and other cover crops, and can account for environmental
>factors such as soil erosion and the fate of chemicals in ground and surface
>waters?

You should look at the Erosion/Productivity Impact Calculator (EPIC). It
seems to cover all the things you are interested in. It's available (free)
from the USDA ARS, Grassland, Soil and Water Lab., 808 Blackland Rd.,
Temple TX 76502. Phone: 817 770-6500.

Dr. Jeffrey J. Lee jeffl@mail.cor.epa.gov
US EPA 503 754-4578
Environmental Rsearch Laboratory FAX: 503 754-4799
200 SW 35 St.
Corvallis,OR 97333
USA



From thodges@beta.tricity.wsu.edu Thu Jan 19 10:36:45 1995
Date: Thu, 19 Jan 1995 18:36:45 -0800 (PST)
From: Tom Hodges <thodges@beta.tricity.wsu.edu>
Subject: Re: Comments?
In-Reply-To: <9501192230.AA11211@escssv1>
Message-Id: <Pine.ULT.3.91.950119182313.19719A-100000@beta.tricity.wsu.edu>

Version 1.43 of the SIMPOTATO model is on an ftp site (ftp.tricity.wsu.edu)
while I haven't put version 1.50 out there yet. Version 1.50 has some
changes in the way soil nitrogen is converted between organic and
mineral forms, a change from the way the IBSNAT models such as CERES-Maize
do it. Michael Knorrenschild <knorren@gsf.de> has put version 1.50 on
his ftp site, I can't find the address just now :-( but he knows.

I can send the FORTRAN code for the growth and development module that
was put into 2dsoil, but you should ask Dennis Timlin
<dtimlin@ncsr.arsusda.gov> about the rest of that model. It is LARGE
and still under development.

CERES-Maize is probably available from Joe Ritchie (Michigan State Univ),
International Fertilizer Development, or Gordon Tsuji
<gordont@uhunix.uhcc.Hawaii.Edu> at U of Hawaii. I don't know about
cost for CERES-Maize. No charge for SIMPOTATO.

Tom

Tom Hodges Cropping Systems Modeler ___ ___
USDA-ARS / \_/ \
Rt. 2, Box 2953-A Telephone: 509-786-9207 | |
Prosser, WA 99350 Fax: 509-786-9370 \______/^\/
USA potato tuber
============= thodges@beta.tricity.wsu.edu ========================
...photosynthesis makes the world go around... Mr. Potato Head

On Thu, 19 Jan 1995, Bill Cole - 919-248-6118 wrote:

> > There have been several inquiries about modeling, esp. CERES-Maize.
>
> > Someone else wants to modify a model for hairy vetch. CERES-Maize
> > has been suggested. I don't think it will be very easy. Certainly
> > some detailed growth data with associated climate data will be called
> > for. The growth and development module from SIMPOTATO as installed
> > in 2dsoil model would also be a possible model to adapt. It is pretty
> > modular and pretty independent of the soil/climate modules in terms of
> > programming considerations.
> >
>
> Tom --
>
> Any chance we could get the sources??
>
> /Bill Cole : To do right, love justice and walk humbly.
> (919)248-6118
> Data General Corp.
> Enterprise Application Customer Support Center
> RTP, NC
> The opinions are my own, thank you.
>



From ct16@cornell.edu Thu Jan 19 21:18:38 1995
Date: Fri, 20 Jan 1995 01:18:38 -0400 (EDT)
From: "Ching-pin Tung" <ct16@cornell.edu>
Message-Id: <4721.ct16@cornell.edu>
Subject: More Comments?

If I am wrong, please feel free to correct me.

I remember that the quantum yield of maize is not sensitive to
temperature. Thus, if IPAR is the same, the gross assimilation rate may not
have significant change when temperature increases. However, respiritation
rate will become larger if temperature increases, and thus net assimilation
rate will be reduced. Both shorter grain filling period and less net
assimilation rate result in reduced yields.

Tung

*************************************************************************
* Ching-pin Tung *
* Graduate Student Phone: +1-607-257-1241 *
* Civil & Environmental Engineering Fax : +1-607-257-1241 *
* Cornell University Email: ct16@cornell.edu *
* Ithaca, NY 14850 *
* USA *
*************************************************************************


From HOVEN@sc.agro.nl Fri Jan 20 10:44:44 1995
Date: Fri, 20 Jan 1995 09:44:44 +0100 (MET)
From: hoven <HOVEN@sc.agro.nl>
Subject: Re: whole-farm simulation model
Message-Id: <01HM2CPVWJ4Y934RS8@SC.AGRO.NL>

Morning, mr. Kelly

Presently I am working with an one-dimensional hydrological model to
evaluate different irrigation strategies. Despite the fact that it is
an one-dimensional model I use it on a regional basis. The model: SWAP93
is developed at the Winand staring Centre in Wageningen, the Netherlands
and it is alternatively known as SWATRE, SWACROP and SWASALT. The model
simulates the water- and solute balance on an daily basis. The crop growth
can also be simulated. Within SWAP93 only one crop per year can be simulated,
although this is easily adjusted. In the more recent version SWAP94 crop
rotations can be simulated.

The solute procedure is rather comprehensive and offers the opportunity to
simulate the application fertilizers, pesticides or other chemical elements.
Unfortunately soil ersosion can not be simulated.

As I understand it you want to simulate the crop growth to evaluate the
economics of alternative cultural practises. Let me explain how I use
the model for a regional evaluation. In the study area different field
characteristics are selected (soil types, crop types, solute concentrations,
bottom boundary conditions, etc.) All these combinations will be combined.
For every combination one runs the program for several years. This results
in numerous runs (in my case 648 three year runs) and an enormous output. To
handle the output, different water management indicators have been
identified:
E.g.:relative transpiration: actual transpiration/potential transpiration
(through using the term relative transpiration I do not need to
simulate actual crop growth, since this this is already a relative
production parameter).
percolation index: flux at the bottom of the profile/water applied
moisture storage change: (theta, day 365 - theta, day 1)/theta, day 1
moisture saturation index: (actual water content/ saturated water content)
salinity hazard index , salt load change, etc.

After one simulation run several water management indicators will directly be
extracted from the output files. Afterwards the files can be deleted. For every
combination the indicators have been extracted. The following step in the
evaluation is the ranking of the different situations e.g. by using an
multi-objective decision analysis model. This has the advantage that the
formely defined indicators can directly be used as input for this analysis.
Extra parameters can also be included, e.g. economic parameters.

Rankings can be performed by starting from different viewpoints through
applying different weighting factors on different aspects. The evaluation
can be production or sustainability, etc. based

I hope this information helps you, if you you have any question please
do not hesitate to contact me.

Kind regards,

Rene van den Hoven

Winand Staring Centre Wageningen
P.O. box 125
6700 AC Wageningen
the Netherlands
internet: hoven@sc.agro.nl


From knorren@gsf.de Fri Jan 20 11:02:39 1995
From: knorren@gsf.de (Michael Knorrenschild)
Message-Id: <199501200902.KAA04277@cony.gsf.de>
Subject: Re: Comments? -> SIMPOTATO and other models
Date: Fri, 20 Jan 1995 10:02:39 +0100 (MET)
In-Reply-To: <Pine.ULT.3.91.950119182313.19719A-100000@beta.tricity.wsu.edu> from "Tom Hodges" at Jan 19, 95 08:33:58 pm

> Version 1.43 of the SIMPOTATO model is on an ftp site (ftp.tricity.wsu.edu)
> while I haven't put version 1.50 out there yet. Version 1.50 has some

Version 1.50 can be found on ftp.hrz.uni-kassel.de in
/pub/ecosys/models/simpotato
You may also have a look at the WWW-server for ecological models:
http://dino.wiz.uni-kassel.de/ecobas.html
and look at "server for models and descriptions". There is a pointer
to SIMPOTATO and to other models you may find useful.

Michael

==============================================================
Michael Knorrenschild
GSF Research Centre for Environment and Health /PUC
P. O. Box 1129 Phone: +49-89-3187-2953
85758 Oberschleissheim FAX: +49-89-3187-3369
Germany e-mail: knorren@gsf.de



From T.Hess@cranfield.ac.uk Fri Jan 20 06:26:18 1995
Date: Fri, 20 Jan 1995 11:26:18 EST
From: T.Hess@cranfield.ac.uk
Message-Id: <0098ABE1.1BC05300.26@sslrc.silsoe.cranfield.ac.uk>
Subject: SWAP94

Dear Rene,

I was interested to hear of SWAP93, SWAP94 (SWAP95?).

I have been using (or trying to use) SWATRE to simulate the effects
of changing rainfall regimes on the suitability of millet based cropping
systems in North East Nigeria. Although I am not interested in the solute
routines, is SWAP more friendly than SWATRE? Also I am interested in
simulating intercropping (or relay cropping) systems - can SWAP cope with this?

You may be interested to know that out of frustration I have written a
Visual Basic data file editor for SWATRE that makes it easier to create
and edit data files.

Tim Hess
Department of Water Management
Silsoe College
Cranfield University
UK.


From GHOOGEN@GAES.GRIFFIN.PEACHNET.EDU Fri Jan 20 03:11:38 1995
Message-Id: <199501201314.AA16711@crcnis1.unl.edu>
Date: Fri, 20 Jan 95 08:11:38 EST
From: "Dr. Gerrit Hoogenboom" <GHOOGEN@GAES.GRIFFIN.PEACHNET.EDU>
Subject: Modeling Rotations - DSSAT V3

A new generation of the CERES and CROPGRO (formerly SOYGRO, PNUTGRO
and BEANGRO) models will be released this month as part of the
DSSAT V3 (Decision Support System for Agrotechnology Transfer).
DSSAT V3 includes crop models for 11 crops and includes the
capabilities to simulate crop rotations. The system will also
allow you do to an indepth economic analysis, together with
time-series and box plot displays for many biophysical and economic
variables.

DSSAT also includes a genetic coefficient calculator, weather manager,
data base managers for soil, weather, and experimental data, and a
seasonal application and analysis program. Several of DSSAT's components
have been published in recent issues of Agronomy Journal. See the coming
issue of Agronomy Journal for the crop rotation /sequence analysis
component of DSSAT.

DSSAT V3 is distributed by the IBSNAT Project. Cost is $ 500 to cover
the editing, printing and distribution of the 3-volume Documentation
and diskettes.

Contact Dr. Gordon Tsuji, IBSNAT Project manager at
gordont@uhunix.uhcc.Hawaii.Edu for ordering information.

Source code will be available upon request for those who purchase
DSSAT.

Dr. Gerrit Hoogenboom | Dept. of Biol. and Agric. Eng.
Assistant Professor | Georgia Station
Internet : GHOOGEN @ | The University of Georgia
GAES.GRIFFIN.PEACHNET.EDU | Griffin, Georgia 30223-1797 USA
PHONE: (404)-228-7216
FAX: (404) 228-7218


From HOVEN@sc.agro.nl Fri Jan 20 15:47:49 1995
Date: Fri, 20 Jan 1995 14:47:49 +0100 (MET)
From: hoven <HOVEN@sc.agro.nl>
Subject: Re: SWAP94
Message-Id: <01HM2NAOBHWY934S09@SC.AGRO.NL>

Dear Tim,

I am always interested in tools that makes life easier, the data file editor.

I have to disappoint you SWAP has not become a menu driven program. The main
difference is the solute routine. In SWAP94 a more detailed crop growth
simulation model (WOFOST) is included.

Simulating intercropping, two crops simultaneouslty on one dimensional
column is difficult. For this purpose you preferable need a 3-d model instead
of a 1-d model. A possibility may be to identify two or more seperate columns
each with ona different crop type. The entity becomes the crop/column
(one dimension) instead of the field (2- or 3-d). The difficulty is that
no interaction between the columns is assumed. It depends on the situation
if this is feasible.

Rene van den Hoven
Department of water management in arid regions
Winand Staring Centre
Wageningen
The Netherlands


From woodard@igc.apc.org Thu Jan 19 22:27:06 1995
Date: Fri, 20 Jan 1995 06:27:06 -0800
Message-Id: <199501201427.GAA06046@mail.igc.apc.org>
From: woodard@igc.apc.org (Woody)
Subject: Re: whole-farm simulation model

Terry,
You may want to check out the IBSNAT (International Benchmark Sites Network
for Agrotechnology Transfer) series of models. They have production models
for peanuts, soybeans, maize, wheat, beans, and several other crops which I
can't seem to recall right now. They all have the same I/O formats, and if I
remember correctly, it is pretty easy to get the source code (which is all
in FORTRAN). They all use the same water balance models, which could be
easily modified for your use by a good FORTRAN programmer. I can't seem to
find my master manual right now, but (taken from an old publication) you can
probably get more (and better) information from:

Department of Agronomy and Soils
University of Hawaii
Honolulu, HI
--OR--
Gary Hoogenboom
Assistant Professor, Department of Biological and Agricultural Engineering
The University of Georgia
Griffin, GA
--OR-
Jean Paul Calixte
Water Resource Planning Specialist
Soil Conservation Service
Gainesville, FL

>simulate the alternative systems in a farm-level context. Does anyone know of
>a modeling system or a suite of models which can simulate crop growth in
>rotation over many years, includes or can easily be adapted for forage legumes
>(such as hairy vetch) and other cover crops, and can account for environmental
>factors such as soil erosion and the fate of chemicals in ground and surface
>waters? Any suggestions will be appreciated and may be posted directly to me.
>I would also be interested in discussing our modeling ideas with anybody doing
>similar work.
/***************************************************************************
******************/
Jeff Woodard Glades Crop Care voice:
407-746-3740
949 Turner Quay
fax: 407-746-3775
Jupiter, FL 33478
e-mail: woodard@igc.apc.org - jwoodard@crl.nmsu.edu - woody@taipan.nmsu.edu
woody@ios.com woody0@aol.com

Life is nothing but a null pointer followed by a core dump.
-My opinions are my own-
/***************************************************************************
******************/



From jhaskett@asrr.arsusda.gov Fri Jan 20 04:46:23 1995
Date: Fri, 20 Jan 1995 09:46:23 -0500 (EST)
From: jhaskett@asrr.arsusda.gov
Subject: Re: whole-farm simulation model
In-Reply-To: <01HM2CPVWJ4Y934RS8@SC.AGRO.NL>
Message-Id: <Pine.SOL.3.91.950120094426.14092D-100000@asrr>

Could you tell me more about the multiobjective decision analysis model,
and some good citations on this. In addition do have citations on the
work that you describe below, it is very interesting to me since I
work on modelling regional soybean yields.

Thanks,
Jonathan Haskett
Duke University
jhaskett@asrr.arsusda.gov

On Fri, 20 Jan 1995, hoven wrote:

>
> Morning, mr. Kelly
>
> Presently I am working with an one-dimensional hydrological model to
> evaluate different irrigation strategies. Despite the fact that it is
> an one-dimensional model I use it on a regional basis. The model: SWAP93
> is developed at the Winand staring Centre in Wageningen, the Netherlands
> and it is alternatively known as SWATRE, SWACROP and SWASALT. The model
> simulates the water- and solute balance on an daily basis. The crop growth
> can also be simulated. Within SWAP93 only one crop per year can be simulated,
> although this is easily adjusted. In the more recent version SWAP94 crop
> rotations can be simulated.
>
> The solute procedure is rather comprehensive and offers the opportunity to
> simulate the application fertilizers, pesticides or other chemical elements.
> Unfortunately soil ersosion can not be simulated.
>
> As I understand it you want to simulate the crop growth to evaluate the
> economics of alternative cultural practises. Let me explain how I use
> the model for a regional evaluation. In the study area different field
> characteristics are selected (soil types, crop types, solute concentrations,
> bottom boundary conditions, etc.) All these combinations will be combined.
> For every combination one runs the program for several years. This results
> in numerous runs (in my case 648 three year runs) and an enormous output. To
> handle the output, different water management indicators have been
> identified:
> E.g.:relative transpiration: actual transpiration/potential transpiration
> (through using the term relative transpiration I do not need to
> simulate actual crop growth, since this this is already a relative
> production parameter).
> percolation index: flux at the bottom of the profile/water applied
> moisture storage change: (theta, day 365 - theta, day 1)/theta, day 1
> moisture saturation index: (actual water content/ saturated water content)
> salinity hazard index , salt load change, etc.
>
> After one simulation run several water management indicators will directly be
> extracted from the output files. Afterwards the files can be deleted. For every
> combination the indicators have been extracted. The following step in the
> evaluation is the ranking of the different situations e.g. by using an
> multi-objective decision analysis model. This has the advantage that the
> formely defined indicators can directly be used as input for this analysis.
> Extra parameters can also be included, e.g. economic parameters.
>
> Rankings can be performed by starting from different viewpoints through
> applying different weighting factors on different aspects. The evaluation
> can be production or sustainability, etc. based
>
> I hope this information helps you, if you you have any question please
> do not hesitate to contact me.
>
> Kind regards,
>
> Rene van den Hoven
>
> Winand Staring Centre Wageningen
> P.O. box 125
> 6700 AC Wageningen
> the Netherlands
> internet: hoven@sc.agro.nl
>


From 00549sms@msu.edu Fri Jan 20 04:56:21 1995
Date: Fri, 20 Jan 1995 10:56:21 -0600 (CST)
From: "Scott M. Swinton" <00549sms@msu.edu>
Message-Id: <39382.00549sms@msu.edu>
Subject: RE: whole-farm simulation model

In response to Terry Kelly's query for "a way to simulate the
alternative systems in a farm-level context," the AG-MODELS discussion has
highlighted some very capable and well-validated crop growth simulation
models, some of which can simulate rotations.

An important limitation of these for one interested in a FARM-LEVEL context
is that they all simulate on a per-plant or per-acre level without regard to
whole-farm constraints on such key inputs as labor and machinery
availability. The simulation models that have been listed also miss the
opportunity cost to farmers of choosing one system rather than another.
Some economic research using whole-farm models that have been linked to
simulation models (to get relationships between yields and input levels) may
be helpful in assessing trade-offs among financial and environmental
variables as you look at the farm-level rather than the field & crop-level.

One person who might have some useful insights is Dr. Parveen Setia of the
USDA Economic Research Service at 1301 New York Ave, NW, Washington, DC
20005-4788. He is project coordinator for the Agriculture in Concert with
the Environment project which is pulling together field research from 6
sites around the U.S. Some related references for models that have captured
whole-farm constraints in evaluating linkages between financial and
environmental variables include the following:

Baffoe, J. K., D. P. Stonehouse, and B. D. Kay. "A Methodology for
Farm-Level Economic Analysis of Soil Erosion Effects under
Alternative Crop Rotational Systems." Canadian Journal of
Agricultural Economics. 35(1987): 55-74.

Dabbert, S. and A. P. Madden. "The Transition to Organic
Agriculture: A Multi-Year Simulation Model of a Pennsylvania Farm."
American Journal of Alternative Agriculture. 1(1986): 99-107.

Faeth, Paul. "Evaluating Agricultural Policy and the Sustainability
of Production Systems: An Economic Framework." Journal of Soil and
Water Conservation. 48(March-April 1993): 94-99.

Johnson, Scott L., Richard M. Adams, and Gregory M. Perry. "The On-
Farm Costs of Reducing Groundwater Pollution." American Journal of
Agricultural Economics. 73(November 1991): 1063-1073.

Taylor, Michael L., Richard M. Adams, and Stanley F. Miller. "Farm-
Level Response to Agricultural Effluent Control Strategies: The
Case of the Willamette Valley." Journal of Agricultural and
Resource Economics. 17(July 1992): 173-185.

Van Kooten, G. C., Ward P. Weisensel, and Duangdao Chinthammit.
"Valuing Trade-Offs Between Net Returns and Stewardship Practices:
The Case of Soil Conservation in Saskatchewan." American Journal of
Agricultural Economics. 72(February 1990): 104-113.

***********************************************************************
Scott Swinton E-mail: 00549sms@msu.edu
Dept. of Agricultural Economics Phone: 517-353-7218
Michigan State University Fax: 517-432-1800
E. Lansing, MI 48824-1039
***********************************************************************


From GRUSSELL@srv0.bio.edinburgh.ac.uk Fri Jan 20 17:07:18 1995
From: Graham Russell <GRUSSELL@srv0.bio.edinburgh.ac.uk>
Date: Fri, 20 Jan 1995 17:07:18 +0000
Subject: RE: whole-farm simulation model
Message-Id: <42C24C35A0@srv0.bio.ed.ac.uk>

Scott Swinton is absolutely right. You do not get a whole
farm model by running a series of crop models developed at
a different scale and which do not incorporate the
sometimes subtle effects of one crop on the succeeding one.
The success of farms depends not only on the factors that
appear in deterministic models but also on the
probabilities of certain events occurring or not. The
transition from main crop potatoes to winter wheat is an
example where in Scotland on clay rich soils, the date of
sowing of the wheat depends on the probability of
suitable potato harvest weather (and on a reliable
harvester) being followed by suitable weather for
cultivation and sowing of the wheat. The date of potato
harvest may be earlier than the date for maximum yield in
order to improve the probability of a successful
transition. Thus a farm model should contain stochastic
elements.

Graham Russell



From thodges@beta.tricity.wsu.edu Fri Jan 20 05:06:52 1995
Date: Fri, 20 Jan 1995 13:06:52 -0800 (PST)
From: Tom Hodges <thodges@beta.tricity.wsu.edu>
Subject: RE: whole-farm simulation model
In-Reply-To: <42C24C35A0@srv0.bio.ed.ac.uk>
Message-Id: <Pine.ULT.3.91.950120130315.3573C-100000@beta.tricity.wsu.edu>

This can also be handled by linked potato/winter wheat models run
over 20-50 years of weather data with different criteria used to
determine potato harvest dates. Of course actual commodity prices
could also invalidate estimates of optimum harvest date criteria.
Tom

> probabilities of certain events occurring or not. The
> transition from main crop potatoes to winter wheat is an
> example where in Scotland on clay rich soils, the date of
> sowing of the wheat depends on the probability of
> suitable potato harvest weather (and on a reliable
> harvester) being followed by suitable weather for
> cultivation and sowing of the wheat. The date of potato
> harvest may be earlier than the date for maximum yield in
> order to improve the probability of a successful
> transition. Thus a farm model should contain stochastic
> elements.

Tom Hodges thodges@beta.tricity.wsu.edu ========================



From 83995@strauss.udel.edu Fri Jan 20 11:23:27 1995
Date: Fri, 20 Jan 1995 16:23:27 -0500 (EST)
From: Stanley Tocker <83995@strauss.udel.edu>
Subject: Pesticides/Groundwater
Message-Id: <Pine.SOL.3.91.950120161318.23353A-100000@strauss.udel.edu>

I would appreciate hearing from anyone who has information about use of
controlled release formulations of pesticides to reduce groundwater
contamination.

Stan Tocker, Consultant
(302)762-0579
83995@strauss.udel.edu



From jp@unlinfo.unl.edu Fri Jan 20 09:22:40 1995
From: jp@unlinfo.unl.edu (jerome pier)
Message-Id: <9501202122.AA14426@unlinfo.unl.edu>
Subject: DIGEST mail option feature
Date: Fri, 20 Jan 1995 15:22:40 -0600 (CST)

Dear AGMODELS-L Subscribers,

I am thrilled with the discussion that is taking place
on the list currently! I hope this and other threads continue
like this.

For those subscribers who feel that the traffic here is
getting to be too heavy for them, I would like to tell you about
the DIGEST feature available for the list. This feature will
allow you to receive only one email message from the list per day
containing all the mail that has been posted to the list over a
24 hour period. When list traffic gets to be over 10 posts per
day, this feature becomes a nice option for those who, unlike
myself, don;t check their email every 1/2 hour *smile*.

To change your mail configuration to get the digested
format, send an email message to the listserver at the address
listserv@unl.edu (NOT to agmodels-l@unl.edu!!!!!) with the
following command:

SET AGMODELS-L MAIL DIGEST

Please let me know if there is anything else that will make your
use of the agmodels-l list more enjoyable. I aim to please!

--
Sincerely,

Jerome Pier
Post-Doctoral Research Assistant
Biological Systems Engineering, Univ. Nebraska - Lincoln
jp@unl.edu



From montas@ecn.purdue.edu Fri Jan 20 12:00:41 1995
Message-Id: <199501202200.RAA12415@pasture.ecn.purdue.edu>
Date: Fri, 20 Jan 1995 17:00:41 -0500
From: Hubert J Montas <montas@ecn.purdue.edu>
Subject: Re: Pesticides/Groundwater

Hi Stan,

Dr Kladivko has worked on the transport of encapsulated pesticides
formulations, here, at Purdue. She directed a master student to study
this phenomenon in intact soil cores. The reference to his thesis is:

Transport of Encapsulated and Standard Formulations of Herbicides Through
Intact Soil Columns.
author: Matthew David Herring.
degree: M.Sc.
date: December, 1991.
dept: Agronomy Department, Purdue University, West Lafayette, IN, 47907.

You may want to email Dr.Kladivko at ekladivko@dept.agry.purdue.edu
or conduct a literature search on both Kladivko and Herring.

In the above cited M.Sc. thesis, encapsulated formulations of
atrazine and alachlor were studied. It was found that there were no
significant difference between encapsulated and standard pesticide
formulations with respect to the total amount of pesticide leached.
Preferential flow however appeared to affect solute breakthrough.

Hubert Montas,

Agr.Eng. Dept.
Purdue University,
West Lafayette, IN, 47907.
email: montas@ecn.purdue.edu.



From gil@landmark.dialix.oz.au Fri Jan 20 17:33:55 1995
Message-Id: <167@landmark.DIALix.oz.au>
Date: Fri, 20 Jan 1995 09:15:41
Subject: Re: whole-farm simulation model
From: gil@landmark.dialix.oz.au (Gil Hardwick)

>
>We are currently working with ARS agricultural scientists here at Beltsville,
>MD to evaluate the economics of alternative cultural practices as part of the
>Sustainable Agriculture Project.

Hi Terry,

Anything you can pass on to us during and in the outcome of this work
would be very greatly appreciated indeed.

We have already worked through biodynamics and organics here, with
some Permaculture ideas thrown in, but have tended to settle on what
we are now referring to as Integrated Whole Farm Planning.

Quite a few of the farms here in the South West of WA have changed
over during the past 10-15 years, stablising farming operations and
bringing margins back off that perpetual brink of bankruptcy they have
been living with so long.

But beyond calling in periodically to see how individual farms are
fairing, and some rough bench-marking arising from that, we have no
hard comparative figures for the district as a whole.

Good luck with it, and please do keep in touch.

Gil




From hwscherm@iastate.edu Fri Jan 20 19:24:03 1995
From: hwscherm@iastate.edu (Harald Scherm)
Subject: Re: whole-farm simulation model (long)
Date: Fri, 20 Jan 1995 19:29:24
Message-Id: <hwscherm.82.00137E0C@iastate.edu>

The following summary (posted today on comp.infosystems.gis by Mark Mihalasky,
Univ. of Ottawa) may be of interest in the context of whole-farm simulation.

H. Scherm
hwscherm@iastate.edu

--- Forwarded message follows ---
From: mjm@earth.genie.uottawa.ca (Mark J. Mihalasky)
Subject: Crop Yield Modelling Ref's... Summary to date.
Date: 20 Jan 1995 19:55:02 GMT

In my original posting I wrote:

>Does anyone know of any good references, literature, etc. that
>discuss multi-map overlay, numerical, etc. modelling techniques
>as applied to farm research... crop yeild, soils, bug infestation,
>fertilizer, and the likes?
>
>Any references or contacts would be greatly appreciated.

I have recieved a number of replys and email from various folks who
are interested in a summary of the information I compile.

The following is what I have recieved to date (20 January, Friday, 2:00
pm EST). Thank you to all who have contributed to this list:

(1)___________________________________________________________________

The following background information and references provided by Clyde
Fraisse (cfraisse@agen.ufl.edu):

This department has develop a GIS application (AEGIS+) linking ARC/INFO
and crop growth models such as CERES (wheat, maize, barley, sorghum and
millet) and CROPGRO (dry bean, peanut and soybean). It runs on SUN
Sparc stations.

I am currently developing a similar application, linking ARC/INFO and the
GLEAMS (Groundwater Loading Effects of Agricultural Management Systems)
model that will focus mainly on nutrient management of dairy operations.
It is a farm scale model.

---- additional information and references appended from 2nd email ----

I have been mostly involved with the development of an application linking
ARC/INFO and GLEAMS (Groundwater Loading Effects of Agricultural Management
Systems). It is aimed at modeling the water quality impacts of dairy
operations, mainly nutrients (N and P). That is not exactly crop yield
monitoring, but it requires a lot of information about crops and crop
management.

AEGIS is another application developed over here that links crop growth
models and GIS. In fact there are two applications, the first one developed
for PC ARC/INFO (AEGIS) and a second developed for UNIX ARC/INFO (AEGIS+). So
far there is no paper writen about AEGIS+, but I will list a few references
about the PC version. Again, this is not crop yield monitoring but crop
modeling. It links GIS and crop growth models such as CERES (wheat, maize,
barley, sorghum and millet) and CROPGRO (dry bean, peanut and soybean).

References:

Papajorgi, P., J.W. Jones, J.P. Calixte, F.H. Beironth and G. Hoogenboom.
1993. A Generic Decision Support System for Estimating Crop Performance.
Proceedings of the International Symposium on Integrated Resource Management. American
Society of Agricultural Engineers (ASAE). pp. 340-348.

Papajorgi, P., J.W. Jones, G. Hoogenboom, J.P. Calixte. 1994. Exploring
Concepts of Linking GIS and Crop Models. Proceedings of the 5th International
Conference 'Computers in Agriculture'. ASAE. pp. 598-602.

Papajorgi, P., J.W. Jones, R.M. Peart and B. Curry. 1994. Using Crop Models
and Geographic Information Systems to Study the Impact of Climate Change in
the Southeastern USA. Soil and Crop Science Society of Florida, Proceedings, Vo
lume 53, September 22-25.

Fraisse, C.W., K.L. Campbell and J.W. Jones. 1994. Integration of GLEAMS and
GIS for Dairy Waste Management Analysis. American Society of Agricultural
Engineers (ASAE). Paper No. 94-2508

Fraisse, C.W., K.L. Campbell and J.W.Jones. 1994. Integration of GIS and
Hydrologic Models for Nutrient Management Planning. Presented at the EPA
National Conference on Environmental Problem Solving with GIS. Cincinnati, OH.
I don't believe the EPA has published the proccedings of this conference yet.

Clyde Fraisse Cfraisse@agen.ufl.edu
University of Florida Phone: (904) 392-7719
Agricultural Eng. Department Fax: (904) 392-4092

(2)___________________________________________________________________

The following abstract and references provided by James Darrell McCauley
(mccauley@ecn.purdue.edu):

..you may want to check out my thesis work in the URL below:

http://soils.ecn.purdue.edu/~mccauley/www/abstracts/resolution-abs.html

A PostScript copy of a preliminary manuscript is available from anonymous
ftp site:

pasture.ecn.purdue.edu in /pub/mccauley/papers/resolution.ps.gz

---- abstract from above manuscript appended from 2nd email ----

Cotton Simulation and GIS Methodology for Examining Sampling
Resolutions in Prescription Farming

James Darrell McCauley, A. Dale Whittaker, & Stephen W. Searcy

A spatial simulation methodology was developed to extend conventional crop
models to do analyses over an area with spatially varying inputs, giving
spatially variable outputs (such as yield). Through integration with a
raster-based geographic information system (GIS), this minimizes the number
of model runs necessary so that simulation results are available for
individual grid cells. The GOSSYM/COMAX cotton growth model and expert
system were coupled with the GRASS GIS in an implementation of this
methodology. The data contained in the GIS, the result of intensively
sampling a cotton field for nitrate information, were used as the primary
inputs to the model. Fertilizer inputs were varied for each grid cell
according to COMAX recommendations, thus prescription farming on a small
scale. Reductions in field sampling resolutions were simulated and results,
yield and residual nitrates, were mapped. Simulation results illustrate the
potential for over- and under-application of fertilizer (according the
optimum needs determined by COMAX) in fields with spatially-varying soil
properties. Results also show how the amount of fertilizer applied affects
yield and residual nitrate concentrations in the soil.

This work was funded by the Texas Advanced Technology Program, Project No.
999902-154, and the Texas Agricultural Experiment Station. Accepted for
publication in Transactions of ASAE.

James Darrell McCauley, USDA National Needs Fellow
Agric Engineering, Purdue University, West Lafayette, IN 47907-1146, USA
mccauley@ecn.purdue.edu +++ http://soils.ecn.purdue.edu/~mccauley/

(3)___________________________________________________________________

The following notice is provided by Jonathan Byron (jbyron@kirk.geog.
scarolina.edu):

The copy of PE&RS that I got last week has something related to this topic.

Jonathan Byron
jbyron@kirk.geog.scarolina.edu

---- end of summary to date ----



From paulsen@pipeline.com Mon Jan 23 12:23:49 1995
From: Rob Paulsen <paulsen@pipeline.com>
Date: Mon, 23 Jan 1995 17:23:49 -0500
Message-Id: <199501232223.RAA22600@pipe2.pipeline.com>
Subject: Agriculture & Remote Sensing

Hi,

My name is Rob Paulsen and I am an independant Ag. researcher.
I am interested in finding out more about remote sensing
applications in agriculture. Does anyone no of a bibliography
or reference collection?

Regards,
Robert T. Paulsen
The Paulsen Group
Paulsen@Pipeline.Com



From salvador@iastate.edu Mon Jan 23 11:05:26 1995
Date: Mon, 23 Jan 1995 17:05:26 -0600
Message-Id: <199501232305.AA14969@mailhub.iastate.edu>
From: salvador@iastate.edu
Subject: Re: Agriculture & Remote Sensing

Rob Paulsen <paulsen@pipeline.com> writes:

>I am interested in finding out more about remote sensing
>applications in agriculture. Does anyone no of a bibliography
>or reference collection?

A good starting point would be P. C. Roberts et al. "Proceedings of Soil
Specific Crop Management Conference, Univ. Minnesota, April 14-16, 1992."
(Published in 1993 by Amer. Soc. Agronomy, ISBN: 0-89118-116-4.)

As up-to-date as a printed item can be in this field, and includes
contributions from all the major "players" in the development of this field
from "on-the-go technology" through "variable rate technology" and the
current concept of "precision farming."

The publisher can be contacted at:

American Society Of Agronomy
677 South Segoe Road
Madison, WI 53711-1086

phone (608) 273-8080
fax (608) 273-2021

Ricardo J. Salvador Internet: rjsalvad@iastate.edu
1126 Agronomy Hall Bitnet: a1.rjs@isumvs
Iowa State University Phone: (515) 294-9595
Ames, Iowa 50011-1010 Fax: (515) 294-8146

<http://www.public.iastate.edu/~rjsalvad/homepage.html>

Ricardo J. Salvador Internet: rjsalvad@iastate.edu
1126 Agronomy Hall Bitnet: a1.rjs@isumvs
Iowa State University Phone: (515) 294-9595
Ames, Iowa 50011-1010 Fax: (515) 294-8146

<http://www.public.iastate.edu/~rjsalvad/homepage.html>



From jnmeade@blue.weeg.uiowa.edu Mon Jan 23 13:56:36 1995
Date: Mon, 23 Jan 1995 19:56:36 -0600 (CST)
From: "J. Meade" <jnmeade@blue.weeg.uiowa.edu>
Subject: Re: Agriculture & Remote Sensing
In-Reply-To: <199501232223.RAA22600@pipe2.pipeline.com>
Message-Id: <Pine.A32.3.91.950123195508.50684A-100000@blue.weeg.uiowa.edu>

On Mon, 23 Jan 1995, Rob Paulsen wrote:

Rob,

Grant Mangold, editor of ag/INNOVATOR, is very current and knowledgeable
on remote sensing applications in agriculture.

His knowledge is not only theoretical, but also practical and hands on.

You might contact him at the cc address above.

> Hi,
>
> My name is Rob Paulsen and I am an independant Ag. researcher.
> I am interested in finding out more about remote sensing
> applications in agriculture. Does anyone no of a bibliography
> or reference collection?
>
> Regards,
> Robert T. Paulsen
> The Paulsen Group
> Paulsen@Pipeline.Com
>

Jim - Farmer - Iowa City, IA,
jnmeade@blue.weeg.uiowa.edu



From 83995@strauss.udel.edu Wed Jan 25 11:38:21 1995
Date: Wed, 25 Jan 1995 16:38:21 -0500 (EST)
From: Stanley Tocker <83995@strauss.udel.edu>
Subject: Seed Coatings of Pesticides
Message-Id: <Pine.SOL.3.91.950125162913.24070A-100000@strauss.udel.edu>

I'd appreciate hearing from anyone having information about use of
pesticides for seed coating. I am in need of state of the art modeling
and other studies related to efficacy, problems and prospects.

Thanks and best regards,

Stan Tocker, Consultant
(302)762-0579
4656 Norwood Drive
Wilmington, DE l9803



From jbailey@wolf.ces.ncsu.edu Thu Jan 26 08:15:08 1995
From: Jack E Bailey <jbailey@wolf.ces.ncsu.edu>
Message-Id: <9501261815.AA13161@wolf.ces.ncsu.edu>
Subject: Re: Seed Coatings of Pesticides
Date: Thu, 26 Jan 1995 13:15:08 -0500 (EST)
In-Reply-To: <Pine.SOL.3.91.950125162913.24070A-100000@strauss.udel.edu> from "Stanley Tocker" at Jan 25, 95 03:45:10 pm

>
>I'd appreciate hearing from anyone having information about use of
>pesticides for seed coating. I am in need of state of the art modeling
>and other studies related to efficacy, problems and prospects.
>
>Thanks and best regards,
>
>Stan Tocker, Consultant
>(302)762-0579
>4656 Norwood Drive
>Wilmington, DE l9803
>
YOU MAY WANT TO TRY JFERGUSO@WOLF.NCSU.EDU

--
Jack E Bailey
E-Mail : jbailey@wolf
Internet: jbailey@wolf.ces.ncsu.edu
Phone : (919) 515-6688


From SEW7924@age2.age.uiuc.edu Thu Jan 26 07:28:57 1995
From: "Sharyl Walker" <SEW7924@age2.age.uiuc.edu>
Date: Thu, 26 Jan 1995 13:28:57 CST
Subject: GIS + Pesticide models
Message-Id: <11FCAFD2880@sugar.age.uiuc.edu>

A friend of mine is looking for examples of GIS-linked models
which estimate potential for pesticide contamination of ground or
surface waters. Anyone have a list of references handy?

Thanks for any advice.

-- Sharyl Walker

Sharyl E. Walker, P.E.
Department of Agricultural Engineering, University of Illinois
332-Q, A.E.S.B., 1304 W. Pennsylvania Ave., Urbana, IL 61801 USA
(217) 333-0945; sew7924@age2.age.uiuc.edu ; FAX: (217) 244-0323


From ibama@cnpq.br Sat Jan 28 23:29:03 1995
From: ibama@cnpq.br (IBAMA)
Message-Id: <9501290129.AA18513@rnpdf2.cnpq.br>
Subject: pcsmp
Date: Sat, 28 Jan 95 23:29:03 GMT-3:00

I'm looking to upgrade my very old version of PCSMP (the one that uses fortran
2.0), I'm looking for a DOS, or better for a Unix version (386BSD, SCO, AIX
or Sun platform would be OK.

Any pointers ?

Bernardo

----------------------------------------------------------
bernardo@direc.ibama.gov.br
bernardo@ibama.gov.br
bernardo@itu.org.br
----------------------------------------------------------



From DIGUST@ccmail.monsanto.com Mon Jan 30 03:50:08 1995
Date: Mon, 30 Jan 95 09:50:08 cst
From: DIGUST@ccmail.monsanto.com
Message-Id: <9500307914.AA791488457@ccmail.monsanto.com>
Subject: FIFRA Exposure Modeling Work Group

To: AGMODELS-L Recipients (agmodels-l@unl.com)
From: Dave Gustafson (digust@ccmail.monsanto.com)

I'd like to inform all AGMODELS-L recipients about the activities of a work
group on which I serve, known as the FIFRA Exposure Modeling Work Group. The
EMWG includes participants from EPA, USDA, and the ag-chem industry, all of
whom are interested in the regulatory uses of computer modeling as a tool for
estimating exposure to pesticides via surface and ground water. Jerome Pier
has encouraged me to invite all members of the EMWG (about 20) to join this
discussion list as a way to enhance the discussions we have been having about
pressing technical issues in the area of environmental modeling. Just to get
things started, I was wondering whether anyone has any ideas concerning the
following issues:

1 - Which soil/water partition coefficients should be used in the modeling of
pesticide movement through soils, those associated with the adsorption step, or
those associated with desorption? Or is it necessary to use models in which
sorption hysteresis and/or non-equilibrium is explicitly considered? The EMWG
is trying to establish standardized procedures for selecting such model input
parameters.

2 - Is anyone aware of recent comparisons of field data results of leaching or
runoff with the predictions of computer models such as GLEAMS or PRZM2? The
EMWG is conducting a re-validation of these models and is collecting all field
data or prior validation studies that might be helpful in this regard. We
would like to characterize the real-life uncertainty associated with using
these models in a predictive mode.

All comments on these or other relevant issues are welcome!

Dave Gustafson
Monsanto
voice: 314/537-7194
fax: 314/537-6134
email: digust@ccmail.monsanto.com
------------------------------ Cut here ------------------------------



Prepared by Steve Modena AB4EL modena@SunSITE.unc.edu