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Understanding Options for Agricultural Production pp 99–128Cite as

The CROPGRO model for grain legumes

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Part of the book series: Systems Approaches for Sustainable Agricultural Development ((SAAD,volume 7))

Abstract

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.

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References

  • Baker J T, Allen L H Jr, Boote K J, Jones P H, Jones J W (1989) Response of soybean to air temperature and CO, concentration. Crop Science 29: 98–105.

    Article  Google Scholar 

  • Boote K J, Jones J W, Mishoe J W, Wilkerson G G (1986) Modeling growth and yield of groundnut. Pages 243–254 in Agrometeorology of Groundnut: Proceedings of an International Symposium, ICRISAT Sahelian Center, Niamey, Niger. ICRISAT, Patancheru, AP 502 324, India.

    Google Scholar 

  • Boote K J, Jones J W, Hoogenboom G, Wilkerson G G, Jagtap S S (1987) PNUTGRO V1.0, Peanut crop growth simulation model, user’s guide. Florida Agricultural Experiment Station Journal No. 8420. University of Florida, Gainesville, Florida, USA.

    Google Scholar 

  • Boote K J, Jones J W, Hoogenboom G (1989a) Simulating growth and yield response of soybean to temperature and photoperiod. Pages 273–278 in Proceedings of the World Soybean Research Conference IV, 5–9 March 1989, Buenos Aires, Argentina.

    Google Scholar 

  • Boote K J, Jones J W, Hoogenboom G (1989b) Simulating crop growth and photosynthesis response to row spacing. Agronomy Abstracts: 11.

    Google Scholar 

  • Boote K J, Jones J W, Hoogenboom G, Wilkerson G G, Jagtap S S (1989c) PNUTGRO V1.02, Peanut crop growth simulation model, user’s guide. Florida Agricultural Experiment Station Journal No. 8420. University of Florida, Gainesville, Florida, USA.

    Google Scholar 

  • Boote K J, Jones J W, Singh P (1991) Modeling growth and yield of groundnut—state of the art. Pages 331–343 in Groundnut: A global perspective: Proceedings of an International Workshop, 25–29 Nov. 1991, ICRISAT Center, India. ICRISAT, Patancheru, AP 502 324, India.

    Google Scholar 

  • Boote K J, Pickering N B (1994) Modeling photosynthesis of row crop canopies. HortScience 29: 1423–1434.

    Google Scholar 

  • Boote K J, Tollenaar M (1994) Modeling genetic yield potential. Pages 533–565 in Boote K J, Bennett J M, Sinclair T R, Paulsen G M (Eds.) Physiology and determination of crop yield. ASACSSA-SSSA, Madison, Wisconsin, USA.

    Google Scholar 

  • Boote K J, Kirkham M B, Allen L H Jr, Baker J T (1994) Effects of temperature, light, and elevated CO, on assimilate allocation. Agronomy Abstracts: 150.

    Google Scholar 

  • Campbell G S, Norman J M (1989) The description and measurement of plant canopy structure. Pages 1–19 in Russell G, Marshall B, Jarvis P G (Eds.) Plant canopies: their growth, form and function. Cambridge University Press, Cambridge, UK.

    Chapter  Google Scholar 

  • Campbell I S (1980) Growth and development of Florunner peanuts as affected by temperature. Ph.D. dissertation, University of Florida, Gainesville, Florida, USA.

    Google Scholar 

  • Cox F R (1979) Effect of temperature treatment on peanut vegetative and fruit growth. Peanut Science 6: 14–17.

    Article  Google Scholar 

  • Egli D B, and Wardlaw I F (1980) Temperature response of seed growth characteristics of soybeans. Agronomy Journal 72: 560–564.

    Article  Google Scholar 

  • Erbs D G, Klein S A, Duffle J A (1982) Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation. Solar Energy 28: 293–302.

    Article  Google Scholar 

  • Farquhar G D, von Caemmerer S (1982) Modelling of photosynthetic response to environment. Pages 549–587 in Lange O L, Nobel P S, Osmond C B, Ziegler H (Eds.) Encyclopedia of plant physiology, NS vol. 12B: Physiological plant ecology II. Springer-Verlag, Berlin, Germany.

    Chapter  Google Scholar 

  • Godwin D C, Jones C A (1991) Nitrogen dynamics in soil-plant systems. Pages 287–321 in Hanks J, Ritchie J T (Eds.) Modeling soil and plant systems. ASA Monograph 31, American Society of Agronomy, Madison, Wisconsin, USA.

    Google Scholar 

  • Godwin D C, Ritchie J T, Singh U, Hunt L A (1989) A user’s guide to CERES Wheat: V2. 10. International Fertilizer Development Center, Muscle Shoals, Alabama, USA.

    Google Scholar 

  • Goudriaan J (1977) Crop micrometeorology: a simulation study. Centre for Agricultural Publishing and Documentation, Wageningen, The Netherlands.

    Google Scholar 

  • Grimm S S, Jones J W, Boote K J, Hesketh J D (1993) Parameter estimation for predicting flowering date of soybean cultivars. Crop Science 33: 137–144.

    Article  Google Scholar 

  • Grimm S S, Jones J W, Boote K J, Herzog D C (1994) Modeling the occurrence of reproductive stages after flowering for four soybean cultivars. Agronomy Journal 86: 31–38.

    Article  Google Scholar 

  • Hammer G L, Sinclair T R, Boote K J, Wright G C, Meinke H, Bell M J. 1995. A peanut simulation model: I. Model development and testing. Agronomy Journal 87: 1085–1093.

    Google Scholar 

  • Harley P C, Weber J A, Gates D M (1985) Interactive effects of light, leaf temperature, CO2 and 02 on photosynthesis in soybean. Planta 165: 249–263.

    Article  CAS  Google Scholar 

  • Hesketh J D, Myhre D L, Willey C R (1973) Temperature control of time intervals between vegetative and reproductive events in soybeans. Crop Science 13: 250–254.

    Article  Google Scholar 

  • Hiebsch C, Kembolo Salumu K U, Gardner F P, Boote K J (1990) Soybean canopy structure, light interception, and yield as influenced by plant height, row spacing, and row orientation. Soil and Crop Science Society of Florida Proceedings 49: 117–124.

    Google Scholar 

  • Hofstra G, Hesketh J D (1975) The effects of temperature and CO2 enrichment on photosynthesis in soybean. Pages 71–80 in Marcelle R (Ed.) Environmental and biological control of photosynthesis. Dr. W Junk, b.v. Publishers, The Hague, The Netherlands.

    Chapter  Google Scholar 

  • Hoogenboom G, White J W, Jones J W, Boote K J (1990). BEANGRO V1.0: Dry bean crop growth simulation model, user’s guide. Florida Agricultural Experiment Station Journal No. N-00379. University of Florida, Gainesville, Florida, USA.

    Google Scholar 

  • Hoogenboom G, Jones J W, Boote K J (1991) Predicting growth and development of grain legumes with a generic model. Paper No. 91–4501. American Society of Agricultural Engineers, St. Joseph, Michigan, USA.

    Google Scholar 

  • Hoogenboom G, Jones J W, Boote K J (1992) Modeling growth, development, and yield of grain legumes using SOYGRO, PNUTGRO, and BEANGRO: A review. Transactions of the American Society of Agricultural Engineers 35: 2043–2056.

    Google Scholar 

  • Hoogenboom G, Jones J W, Boote K J, Bowen W T, Pickering N B, Batchelor W D (1993) Advancement in modeling grain legume crops. Paper No. 93–4511. American Society of Agricultural Engineers, St. Joseph, Michigan, USA.

    Google Scholar 

  • Hoogenboom G, Jones J W, Hunt L A, Thornton P K, Tsuji G Y (1994a) An integrated decision support system for crop model applications. Paper No. 94–3025. American Society of Agricultural Engineers, St. Joseph, Michigan, USA.

    Google Scholar 

  • Hoogenboom G, Jones J W, Wilkens P W, Batchelor W D, Bowen W T, Hunt L A, Pickering N B, Singh U, Godwin D C, Baer B, Boote K J, Ritchie J T, White J W (1994b) Crop models. Pages 95–244 in Tsuji G Y, Uehara G, Balas S (Eds.) DSSAT Version 3, Volume 2. University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Hoogenboom G, White J W, Jones J W, Boote K J (1994c) BEANGRO, a process-oriented dry bean model with a versatile user interface. Agronomy Journal 86: 182–190.

    Article  Google Scholar 

  • Hume D J, Jackson A K H (1981) Pod formation in soybean at low temperatures. Crop Science 21: 933–937.

    Article  Google Scholar 

  • International Benchmark Sites Network for Agrotechnology Transfer Project (1989) Decision support system for agrotechnology transfer Version 2.1 (DSSAT V2. 1 ). Department of Agronomy and Soil Science, College of Tropical Agriculture and Human Resources, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Jensen M E, Burman R D, Allen R G (Eds.) (1990) Evapo-transpiration and irrigation water requirements: a manual. American Society of Civil Engineers, New York, USA.

    Google Scholar 

  • Jones J W, Boote K J, Hoogenboom G, Jagtap S S, Wilkerson G G (1989) SOYGRO V5.42, Soybean crop growth simulation model, user’s guide. Florida Agricultural Experiment Station Journal No. 8304. University of Florida, Gainesville, Florida, USA.

    Google Scholar 

  • Jones J W, Boote K J, Jagtap S S, Hoogenboom G, Wilkerson G G (1987) SOYGRO V5.4, Soybean crop growth model, user’s guide. Florida Agricultural Experiment Station Journal No. 8304. University of Florida, Gainesville, Florida, USA.

    Google Scholar 

  • Kimball B A, Bellamy L A (1986) Generation of diurnal solar radiation, temperature, and humidity patterns. Energy in Agriculture 5: 185–197.

    Article  Google Scholar 

  • Lawn R J, Hume D J (1985) Response of tropical and temperate soybean genotypes to temperature during early reproductive growth. Crop Science 25: 137–142.

    Article  Google Scholar 

  • McCree K J (1974) Equations for the rate of dark respiration of white clover and grain sorghum as functions of dry weight, photosynthetic rate, and temperature. Crop Science 14: 509–514.

    Article  Google Scholar 

  • Pan D, Boote K J, Baker J T, Allen L H Jr, Pickering N B (1994) Effects of elevated temperature and CO2 on soybean growth, yield, and photosynthesis. Agronomy Abstracts: 150.

    Google Scholar 

  • Parton W J, Logan J A (1981) A model for diurnal variation in soil and air temperature. Agricultural and Forest Meteorology 23: 205–216.

    Article  Google Scholar 

  • Penman H L (1948) Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society, London A 193: 120–145.

    Article  CAS  Google Scholar 

  • Penning de Vries F W T, van Laar H H (1982) Simulation of growth processes and the model BACROS. Pages 114–136 in Simulation of plant growth and crop production. PUDOC, Wageningen, The Netherlands.

    Google Scholar 

  • Penning de Vries F W T, Brunsting A H M, van Laar H H (1974) Products, requirements and efficiency of biosynthesis: a quantitative approach. Journal of Theoretical Biology 45: 339–377.

    Article  Google Scholar 

  • Pickering N B, Jones J W, Boote K J (1990) A moisture-and CO2—sensitive model of evapotranspiration and photosynthesis. Paper No. 90–2519. American Society of Agricultural Engineers, St. Joseph, Michigan, USA.

    Google Scholar 

  • Pickering N B, Jones J W, Boote K J, Hoogenboom G, Allen L H Jr, Baker J T (1993) Modeling soybean growth under climate change conditions. Paper No. 93–4510. American Society of Agricultural Engineers, St. Joseph, Michigan, USA.

    Google Scholar 

  • Pickering N B, Jones J W, Boote K J (1995) Adapting SOYGRO V5.42 for prediction under climate change conditions. In Rosenzweig C E, Allen L H Jr, Harper L A, Hollinger S E, Jones J W (Eds.) Proceedings of a symposium on climate change and international impacts. American Society of Agronomy Special Publication. American Society of Agronomy, Madison, Wisconsin, USA.

    Google Scholar 

  • Priestley C H B, Taylor R J (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review 100: 81–92.

    Article  Google Scholar 

  • Ritchie J T (1985) A user-oriented model of the soil water balance in wheat. Pages 293–305 in Fry E, Atkin T K (Eds.) Wheat growth and modeling. Plenum Publishing Corporation, NATO-ASI Series.

    Google Scholar 

  • Spitters C J T (1986) Separating the diffuse and direct component of global radiation and its implication for modeling canopy photosynthesis. Part II. Calculation of canopy photosynthesis. Agricultural and Forest Meteorology 38: 231–242.

    Article  Google Scholar 

  • Spitters CJ T, Toussaint H A J M, Goudriaan J (1986) Separating the diffuse and direct components of global radiation and its implications for model canopy photosynthesis. I. Components of incoming radiation. Agricultural and Forest Meteorology 38: 217–229.

    Google Scholar 

  • Stucky D J (1976) Effect of planting depth, temperature, and cultivars on emergence and yield of double cropped soybeans. Agronomy Journal 68: 291–294.

    Article  Google Scholar 

  • Thomas J F, Raper C D Jr (1977) Morphological response of soybeans as governed by photoperiod, temperature, and age at treatment. Botanical Gazette 138: 321–328.

    Article  Google Scholar 

  • Thomas J F, Raper C D Jr (1978) Effect of day and night temperature during floral induction on morphology of soybean. Agronomy Journal 70: 893–898.

    Article  Google Scholar 

  • Tsuji G Y, Uehara G, Batas S (Eds.) (1994) DSSAT Version 3. University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Wilkerson G G, Jones J W, Boote K J, Ingram K T, Mishoe J W (1983) Modeling soybean growth for crop management. Transactions of the American Society of Agricultural Engineers 26: 63–71

    Google Scholar 

  • Wilkerson G G, Jones J W, Boote K J, Mishoe J W (1985) SOYGRO V5. 0: Soybean crop growth and yield model. Technical documentation. Agricultural Engineering Department, University of Florida, Gainesville, Florida, USA.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Agronomy, University of Florida, Gainesville, Florida, 32611, USA

    K. J. Boote

  2. Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, 32611, USA

    J. W. Jones

  3. Department of Biological and Agricultural Engineering, Georgia Station, The University of Georgia, Griffin, Georgia, 30223-1797, USA

    G. Hoogenboom

  4. Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, 32611, USA

    N. B. Pickering (Formerly Post-Doctoral Associate)

Authors
  1. K. J. Boote
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  2. J. W. Jones
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  3. G. Hoogenboom
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  4. N. B. Pickering
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Editor information

Editors and Affiliations

  1. University of Hawaii-Manoa, Honolulu, Hawaii, USA

    Gordon Y. Tsuji

  2. Department of Biological and Agricultural Engineering, The University of Georgia, Georgia, USA

    Gerrit Hoogenboom

  3. International Livestock Research Institute, Nairobi, Kenya

    Philip K. Thornton

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© 1998 Springer Science+Business Media Dordrecht

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Boote, K.J., Jones, J.W., Hoogenboom, G., Pickering, N.B. (1998). The CROPGRO model for grain legumes. In: Tsuji, G.Y., Hoogenboom, G., Thornton, P.K. (eds) Understanding Options for Agricultural Production. Systems Approaches for Sustainable Agricultural Development, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3624-4_6

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  • DOI: https://doi.org/10.1007/978-94-017-3624-4_6

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4940-7

  • Online ISBN: 978-94-017-3624-4

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