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Archive | 1998

The CROPGRO model for grain legumes.

K. J. Boote; James W. Jones; Gerrit Hoogenboom; Nigel B. Pickering

The CROPGRO model is a generic crop model based on the SOYGRO, PNUTGRO, and BEANGRO models. In these earlier crop models, many species attributes were specified within the FORTRAN code. CROPGRO has one set of FORTRAN code and all species attributes related to soybean, peanut, or drybean are input from external ‘species’ files. As before, there are also cultivar attribute files. The CROPGRO model is a new generation model in several other ways. It computes canopy photosynthesis at hourly time steps using leaf-level photosynthesis parameters and hedge-row light interception calculations. This hedgerow approach gives more realistic response to row spacing and plant density. The hourly leaf-level photosynthesis calculations allow more mechanistic response to climatic factors as well as facilitating model analysis with respect to plant physiological factors. There are several evapotranspiration options including the Priestley-Taylor and FAO-Penman. An important new feature is the inclusion of complete soilplant N balance, with N uptake and N2-fixation, as well as N deficiency effects on photosynthetic, vegetative and seed growth processes. The N2-fixation option also interacts with the modeled carbohydrate dynamics of the plant. CROPGRO has improved phenology prediction based on newly-optimized coefficients, and a more flexible approach that allows crop development during various growth phases to be differentially sensitive to temperature, photoperiod, water deficit, and N stresses. The model has improved graphics and sensitivity analysis options to evaluate management, climate, genotypic, and pest damage factors. Sensitivity of growth processes and seed yield to climatic factors (temperature, CO2, irradiance, and water supply) and cultural management (planting date and row spacing) are illustrated.


Agricultural and Forest Meteorology | 1993

Evaluation of the portable chamber technique for measuring canopy gas exchange by crops

Nigel B. Pickering; James W. Jones; K. J. Boote

An experiment was conducted to evaluate the portable chamber technique for concurrent measurement of canopy evapotranspiration (ET) and carbon exchange rate (CER) and to validate the ET measurements using weighing lysimeters. Hourly gas exchange measurements were made on a half-day diurnal basis over a wide range of leaf area indices (0.2–3.8 m2 m−2) on peanut (Arachis hypogaea L.) for both irrigated and dry soil conditions. The chamber technique used the LI-COR LI-6200 portable photosynthesis system with an open leaf chamber inside the canopy chamber. Measurement of vapor pressure was achieved with the leaf chamber humidity sensor and thermocouple, while carbon dioxide was cycled through the system infra-red gas analyzer. Full-sun and dark CER measurements were made to compute gross photosynthesis (PG). Based on replicated measurements, the average coefficients of variation for PG and ET were 15% and 17%, respectively. The field and lysimeter sites gave comparable values of ET and PG. The PG responses to varying light and LAI conditions were consistent with previously cited values. Computed chamber ET must be extrapolated back to the time the chamber is closed to obviate underestimation of the ET rate (1% s−1) owing to the increase in vapor pressure in the chamber. A correction in ET for reduced light owing to radiation transmission losses appears to be unnecessary. Under varying light conditions where measurements were intentionally made during the sunny periods, the chamber overestimated the instantaneous lysimeter ET. Under clear sky conditions, chamber ET compared well with both instantaneous and hourly lysimeter ET. In the latter comparison, errors were less than 0.13 mm h−1 with and R2 of 0.90. This good agreement was consistent over the morning hours, across the range of leaf area indices, and for both wet and dry soil conditions.


Agronomy Journal | 1996

Potential uses and limitations of crop models

Kenneth J. Boote; James W. Jones; Nigel B. Pickering


Agronomy Journal | 2003

Carbon Dioxide and Temperature Effects on Evapotranspiration and Water Use Efficiency of Soybean

L. H. Allen; Deyun Pan; K. J. Boote; Nigel B. Pickering; James W. Jones


Global Change Biology | 1997

Rice responses to drought under carbon dioxide enrichment. 1. Growth and yield

Jeffrey Baker; L. Hartwell Allen; Kenneth J. Boote; Nigel B. Pickering


Global Change Biology | 1997

Rice responses to drought under carbon dioxide enrichment. 2. Photosynthesis and evapotranspiration

Jeffrey Baker; L. Hartwell Allen; Kenneth J. Boote; Nigel B. Pickering


Climate Change and Agriculture: Analysis of Potential International Impacts | 1995

Decision Support System to Study Climate Change Impacts on Crop Production

Gerrit Hoogenboom; Gordon Y. Tsuji; Nigel B. Pickering; R. Bruce Curry; James W. Jones; Upendra Singh; Doug Godwin


Global Change Biology | 2000

Direct effects of atmospheric carbon dioxide concentration on whole canopy dark respiration of rice.

J.E.ffrey T. Baker; L. H.A.rtwell Allen; K.E.nneth J. Boote; Nigel B. Pickering


Carbon Dioxide and Terrestrial Ecosystems | 1996

Assessment of Rice Responses to Global Climate Change: CO2 and Temperature

Jeffrey T. Baker; L. Hartwell Allen; Kenneth J. Boote; Nigel B. Pickering


Climate Change and Agriculture: Analysis of Potential International Impacts | 1995

Response of Soybean to Predicted Climate Change in the USA 1

R. Bruce Curry; James W. Jones; Kenneth J. Boote; Robert M. Peart; L. Hartwell Allen; Nigel B. Pickering

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Deyun Pan

University of Florida

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J.E.ffrey T. Baker

Agricultural Research Service

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Jeffrey T. Baker

Agricultural Research Service

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