Agronomy Journal Grow Your Career With ASA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (9)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Boote, K. J.
Right arrow Articles by Sau, F.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Boote, K. J.
Right arrow Articles by Sau, F.
Agricola
Right arrow Articles by Boote, K. J.
Right arrow Articles by Sau, F.
Related Collections
Right arrow Other Legumes
Right arrow Crop Growth and Development
Right arrow Crop Models
Right arrow Plant and Environment Interactions
Agronomy Journal 94:743-756 (2002)
© 2002 American Society of Agronomy

MODELING

Adapting the CROPGRO Legume Model to Simulate Growth of Faba Bean

Kenneth J. Boote*,a, María Inés Mínguezb and Federico Sauc

a Dep. of Agron., Univ. of Florida, Gainesville, FL 32611-0500
b Departamento de Producción Vegetal: Fitotecnia, Escuela Técnica Superior de Ingenieros Agrónomos, Technical Univ. of Madrid, 28040 Madrid, Spain
c Escuela Politécnica Superior, Departamento de Producción Vegetal, Universidad de Santiago de Compostela, Spain

* Corresponding author (kjb{at}gnv.ifas.ufl.edu)

Received for publication February 9, 2001. Crop growth models are valuable tools for integrating our understanding of physiological processes and for hypothesizing and evaluating crop management strategies. Our objective was to adapt the CROPGRO model to simulate the growth and yield of faba bean (Vicia faba L.). The CROPGRO model simulates different grain legume species using external parameter files that describe species process sensitivity to environment plus files describing cultivar differences. Specific objectives were to develop a species file and one cultivar file for faba bean based on: (i) values and relationships from the literature and (ii) comparison with observed growth data on faba bean grown in Cordoba (Spain). A systematic procedure was followed to develop relationships and values for the species and cultivar files. Base temperatures for processes of this cool-season legume are typically between 0 to 2°C for photosynthetic, vegetative, and reproductive processes while corresponding optimum temperatures vary from 22 to 30°C. After adaptation, the model accurately predicted total crop dry matter accumulation, pod mass, and partitioning to plant components. High seed yields of faba bean exceeding 6000 kg ha-1 were predicted in agreement with observed data. Sensitivity analyses on sowing date showed optimum yields from early winter sowing at Cordoba and late winter sowing in northern Europe. Adapting an existing mechanistic model such as CROPGRO had advantages because many processes were similar across species and well simulated. The primary adaptation required was to change the cardinal temperature sensitivities of growth processes, based on faba bean literature or by analogy to other species.

Abbreviations: HI, harvest index • LAI, leaf area index • +N, N fertilized • -N, unfertilized • PD, photothermal day • RLD, root length density • SLA, specific leaf area • Tb, base temperature • Tmax, maximum temperature • Tmin, minimum temperature • Topt, optimum temperature




This article has been cited by other articles:


Home page
ANN BOT (LOND)Home page
M. RUIZ-RAMOS and M. I. MINGUEZ
ALAMEDA, a Structural-Functional Model for Faba Bean Crops: Morphological Parameterization and Verification
Ann. Bot., March 1, 2006; 97(3): 377 - 388.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
F. Sau, K. J. Boote, W. M. Bostick, J. W. Jones, and M. I. Minguez
Testing and Improving Evapotranspiration and Soil Water Balance of the DSSAT Crop Models
Agron. J., September 1, 2004; 96(5): 1243 - 1257.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2002 by the American Society of Agronomy.