Soybean yield potential estimated in a central region of RS State, Brazil

Autores

  • Lilian Cris Dallagnol Universidade de Passo Fundo/Programa de Pós-Graduação em Agronomia
  • Crislaine Sartori Suzana Universidade de Passo Fundo/Programa de Pós-Graduação em Agronomia

DOI:

https://doi.org/10.15361/1984-5529.2016v44n4p584-591

Resumo

Despite soybean global economic relevance, its yield levels vary greatly in time and space. The state of Rio Grande do Sul (RS) has a lower average soybean yield than the Brazilian average, except for its Cen­tral region, where high yields and the extension of cultivated areas have been highlighted. Thanks to tech­nology, high-quality cultivars, and professionalization of farmers, soybean tends to increase yield after every season. However, adverse weather is one of the factors that limit yield potential. The influence of factors that limit yield can be better understood if the crop yield potential is known. Therefore, the aim of this study was to estimate soybean yield potential in the central region of RS, based on mathematical models using historical climate data. According to the observations, it was concluded that the model has the potential to set optimum sowing times based on agronomic aspects, besides allowing for the estima­tion of soybean maximum regional production, showing that there is still much to improve and adapt to obtain high yield in crop management.

Biografia do Autor

Lilian Cris Dallagnol, Universidade de Passo Fundo/Programa de Pós-Graduação em Agronomia

Mestranda em Agronomia, Programa de Pós-Graduação em Agronomia, Faculdade de Agronomia e Medicina Veterinária, Universidade de Passo Fundo. 

 

Crislaine Sartori Suzana, Universidade de Passo Fundo/Programa de Pós-Graduação em Agronomia

Mestranda em Agronomia, Programa de Pós-Graduação em Agronomia, Faculdade de Agronomia e Medicina Veterinária, Universidade de Passo Fundo. 

Publicado

11/11/2016

Como Citar

DALLAGNOL, L. C.; SUZANA, C. S. Soybean yield potential estimated in a central region of RS State, Brazil. Científica, Dracena, SP, v. 44, n. 4, p. 584–591, 2016. DOI: 10.15361/1984-5529.2016v44n4p584-591. Disponível em: https://cientifica.dracena.unesp.br/index.php/cientifica/article/view/654. Acesso em: 28 mar. 2024.

Edição

Seção

Fitotecnia - Crop Production