Modeling in Legumes, with Emphasis on Beans Crop
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Abstract
The most widely produced grain legume for human consumption in the world is the common bean (Phaseolus vulgaris L.). This plant is native to the Americas, where it plays an important role in the daily diet. The environment where beans are grown is varied, from tropical zones to high mountains, with different growth habits and production systems, from highly technical to traditional. Therefore, efforts in bean crop modeling should start from identifying the type of bean and the target system. Beans are very sensitive to abiotic stress, a fact that has encouraged the modeling of their possible response under climate change scenarios. For this, a literature review was carried out to identify modeling exercises carried out in Latin America, which include growth studies (node production rates and leaf area), phenology and yield. The models used in these studies include EcoCrop, CROPGRO-DRYBEAN (implemented on the DSSAT platform), and in one case of each, Maxent and CLIMEX. Four studies are described in detail: in the two countries with the highest production in the world (Brazil and Mexico), and in Central America as a region highly vulnerable to climate change. Studies agree that bean productivity could suffer serious negative effects in the course of the 21st century because of climate change. Finally, a recent exercise to collect historical data from bean trials in Latin America is reported to feed future modeling efforts.
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References
ACOSTA-GALLEGOS, J.A.; VARGAS-VAZQUEZ, P.; WHITE, J.W.: “Effect of sowing date on the growth and seed yield of common bean (Phaseolus vulgaris L.) in highland environments.”, Field Crops Research, 49: 1-10, 1996.
ÁLVAREZ, P.; FISCHER, M.; GONZÁLEZ, C.; MASON-D´CROZ, D.; MORENO, P.; ROBERTSON, R.; RODRIGUEZ, J.; PRAGER, S.D.: “Technology of drought tolerant beans. A case study in the series: Ex-ante impact assessment of agricultural technologies in the global food system. González, C., Mason-D’Croz, D., Moreno, P., Robertson, R., Rodríguez, J., Prager, S.D.”, 2016.
BEEBE, S.; J.RAMIREZ, A.; JARVIS, I.; M.RAO, G.; MOSQUERA, J.; BUENO, M.; BLAIR, M.W.: “Genetic improvement of common beans and the challenges of climate change”, En: Singh Yadav, S.; Redden, R.; Hatfield, J.L.; Lotze-Campen, H. y Hal, A. (eds.), Crop adaptation to climate change., pp. 356-369, 2011.
BEEBE, S.E.: “Common bean breeding in the tropics. Plant Breeding Reviews”, 36: 357-426, 2012.
BOOTE, K.J.; JONES, J.W.; HOOGENBOOM, G.; PICKERING, N.B.: “The CROPGRO model for grain legumes. En: Understanding Options for Agricultural Production”, ser. Systems Approaches for Sustainable Agricultural Development, 7: 99-128, 1998.
CHAVES DE OLIVEIRA, E.: Desempenho do modelo CROPGRO-Dry Bean em estimar data de semeadura e a produtividade do feijoeiro., Universidades Federal de Vicosa., 2007.
CLAVIJO MICHELANGELI, J.A.; KENNET KENNET, J.; JONES, J.W.; CORELL, M.; GEZAN, S.; BHAKTA, M.; ZHANG, L.; OSORNO, J.; RAO, I.M.; BEEBE, S.E.; ROMAN-PAOLI, E.O.; GONZALEZ, A.; BEAVER, J.; RICAURTE, J.; COLBERT, R.; CARVALHO, M.; VALLEJOS, C.E.: “Modeling genetic traits of five common bean (Phaseolus vulgaris) genotypes in multi-location trials”, : 1, 2014.
COTA OLIVEIRA, L.J.; COSTA, L.C.; CHOHAKU SEDIYAMA, G.; MARQUES FERREIRA, W.P.; DE OLIVEIRA, M.J.: “Modelos de estimativa de produtividades potencial para as culturas do feijao e do milho. Engenharia na agricultura, Viçosa, Minas Gerais”, 19: 304-319, 2011.
DELGADO ASSAD, E.; ARYEVERTON FORTES DE OLIVEIRA, A.; MASSARU NAKAI, A.; PAVÃO, E.; PELLEGRINO, G.; MONTEIRO, J.E.: “Impactos e vulnerabilidades da agricultura brasileira às mudanças climáticas. En: Climática e Vulnerabilidades Setoriais à Mudança do Clima no Brasil. Ministério da Ciência, Tecnologia e Inovação”, : 127-188, 2016.
EITZINGER, A.; LÄDERACH, P.; RODRIGUEZ, B.; FISHER, M.; BEEBE, S.; SONDER, K.; SCHMIDT, A.: “Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model. Mitigation and Adaptation Strategies for Global Change”, 22: 743-760, 2017, DOI: 10.1007/s11027-015-9696-2.
FAURE ALVAREZ, B.; BENÍTEZ GONZÁLEZ, R.; RODRÍGUEZ ACOSTA, E.; GRANDE MORALES, O.; TORRES MARTÍNEZ, M.; PÉREZ RODRÍGUEZ, P.: “Guía técnica para la producción de frijol común y maíz. La Habana, Cuba: Instituto de Investigaciones en Fruticultura Tropical”, 39, 2014.
FREYTAG, G.F.; DEBOUCK, D.G.: “Freytag, G. F. and D. G. Debouck. 2002. Taxonomy, distribution and ecology of the genus Phaseolus (Leguminosae-Papilionoideae) in North America, Mexico and Central America. SIDA Botanical Miscell Miscellany”, 23: 1-300, 2002.
HEINEMANN, A.B.; RAMÍREZ VILLEGAS, J.; PESSOA OLIVEIRA DE SOUZA, T.L.; DIDONET, A.D.; STEFANO, J.G. di; BOOTE, K.J.; JARVIS, A.: “Drought impact on rainfed common bean production areas in Brazil”, Agricultural and Forest Meteorology, 225: 57-74, Accepted: 2016-06-01T19:52:39Z, septiembre de 2016, ISSN: 0168-1923, DOI: 10.1016/j.agrformet.2016.05.010.
HOOGENBOOM, G.; WHITE, J.W.; ACOSTA-GALLEGOS, J.; GAUDIEL, R.G.; MYERS, J.R.; SILBERNAGEL, M.J.: “Evaluation of a crop simulation model that incorporates gene action. Agronomy Journal”, 89: 613-620, 1997.
HOOGENBOOM, G.; WHITE, J.W.; JONES, J.W.; BOOTE, K.J.: “BEANGRO: A Process-Oriented Dry Bean Model with a Versatile User Interface. Agronomy Journal”, 86: 182-190, 1993.
HWANG, C.; CORRELL, M.J.; GEZAN, S.A.; ZHANG, L.; BHAKTA, M.S.; VALLEJOS, C.E.; BOOTE, K.J.; CLAVIJO-MICHELANGELI, J.A.; JONES, J.W.: “Hwang C., Correll M.J., Gezan S.A., Zhang L., Bhakta M.S., Vallejos C.E., Boote K.J., Clavijo-Michelangeli J.A., Jones J.W. 2017. Next generation crop models: A modular approach to model early vegetative and reproductive development of the common bean (Phaseolus vulgaris L). Agricultural Systems 155: 225-239.”, 17: 225-239, 2017.
JAY, O.: Metodología para la compa¬ración de tratamientos en modelos de regresión no lineal aplicados a procesos biológicos, Instituto de Ciencia Animal, Tesis de Doctorado, 100 p., 2012.
JONES, J.W.; HOOGENBOOM, G.; PORTER, C.H.; BOOTE, K.J.; BATCHELOR, W.D.; HUNT, L.A.; WILKENS, P.W.; SINGH, U.; GIJSMAN, A.J.; RITCHIE, J.T.: “The DSSAT cropping system model. European Journal of Agronomy”, 18: 235-265, 2003.
MEDINA-GARCÍA, G.; RUIZ-CORRAL, J.A.; RODRÍGUEZ-MORENO, V.M.; SORIA-RUIZ, J.; DÍAZ-PADILLA, G.; ZARAZÚA VILLASEÑOR, P.: “Efecto del cambio climático en el potencial productivo del frijol en México.”, 13: 2465-2474, 2016.
RAMIREZ-CABRAL, N.Y.Z.; KUMAR, L.; TAYLOR, S.: “Crop niche modeling projects major shifts in common bean-growing areas. Agricultural and Forest Meteorology”, : 218-219, 102-113, 2016.
RAMIREZ-VILLEGAS, J.; JARVIS, A.; LÄDERACH, P.: “Empirical approaches for assessing impacts of climate change on agriculture: The EcoCrop model and a case study with grain sorghum. Agricultural and Forest Meteorology”, 170: 67-78, 2013.
RITCHIE, J.T.: “Soil water balance and plant stress.”, En: Tsuji, G.Y.; Hoogenboom, G. y Thornton, P.K. (eds.), Understanding Options for Agricultural Production. Kluwer, Dordrecht The Netherlands, pp. 41-54, 1998.
ROSAS, J.C.: “El cultivo del frijol común en América Tropical. Honduras: Escuela Agrícola Panamericana”, 62, 2003.
SERRANO, J.; GOÑI, I.: “Papel del frijol negro Phaseolus vulgaris en el estado nutricional de la población guatemalteca”, 54: 36-44, 2004.
TABA, G.; HYMAN, G.; MUSONI, A.; BEEBE, S.E.; RUBIANO, J.; CASTRO, F.; MUKANKUSI, C.; BURUCHARA, R.A.; RUBYOGO, J.C.: A Strategy for Geographic Targeting of Climbing Bean Varieties and Practices in Africa. Presentación en The PanAfrican Grain Legume and World Cowpea Conference. Febrero 28-Marzo 2, 2016. Livingston, Zambia., Conferencia, Livingston, Zambia., 28 de marzo de 2016.