Utilização do modelo CROPGRO-Drybean para a simulação da produtividade da cultura do feijão, nas condições edafoclimáticas de Tangará da Serra, MT

• Autor(a) principal: Silva, André Luiz Biscaia Ribeiro da
• Data de Publicação: 2013
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
• Texto Completo: http://repositorio.uem.br:8080/jspui/handle/1/1315
• topic: Feijão; Modelo de simulação; Modelo de crescimento e desenvolvimento; Cultura; Solos; Umidade; CROPGRO-Drybean; Mato Grosso; Brasil.; Beans; Simulation model; Growth and development model; Culture; Soils; Moisture; CROPGRO-Drybean; Mato Grosso; Brazil.; Ciências Agrárias; Agronomia

The study was conducted for the city of Tangará da Serra, located in the Mato Grosso state, Brazil (latitude 14 º 37 ' 55'' S, longitude 57 º 28' 05'' W and altitude of 488 meters). During the study development was used the model CROPGRO - Drybean belonging to the package DSSAT 3.5 (Decision Support System for Agrotechnology Transfer) as growth and development simulator for dry bean (Phaseolus vulgaris). For model calibration, were used data from the BRS Splendor dry bean, which was cultivated in the 2011/2012 season, with a sowing on December 15th, 2011, the input data set used in the model to a satisfactory simulation was climatic variables (maximum and minimum temperature, solar radiation and precipitation), phenological and soil variables. The study aim was get the best sowing dates for the three different sowing seasons (Water, Dry and Winter) of dry bean to the Tangará da Serrá region. The simulations were performed for six sowing dates to each season, which allowed a separated analysis for each season studied. Thus, within three sowing seasons studied, the Water Season showed the best yields for the BRS Splendor dry bean, in which December 1st sowing date showed the highest yields, with highest one of 3301.15 kg ha-1, followed by the Dry Season, which, also could observe high yields, with an highest yield of 3018.39 kg ha-1, however as the sowing was performed in later dates the yields tends decreasing, with a lower yield of 147.14 kg ha-1. Finally the Winter Season, which had the lowers yields, with a maximum of 473.56 kg ha-1, these low yields was result of a low rainfall presented during the crop cycles, the climatological variable that directly influenced the leaf area index and crop yield in all sowing dates.