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Parizi,Ana R. C.; Robaina,Adroaldo D.; Gomes,Ana C. dos S.; Peiter,Marcia X.; Soares,Fátima C.. |
ABSTRACT Mathematical models are tools to estimate and understand system behaviors against diverse situations; they may help in decision-making through simplified representations of the reality, allowing simulating various scenarios and estimating impacts of different courses of action on production systems, assisting thus in activity planning. Thus, this paper proposed a simulation of corn crop yields according to different field experiment characteristics and weather conditions in which it was conducted, with the purpose of setting a simulation model already calibrated and tested for corn crop cycle in the region of Santiago – RS, Brazil. The increasing water levels had a positive effect on grain yield and corn dry matter. On the other hand, a level of... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Zea mays L.; Irrigation strategies; Yield model. |
Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000300503 |
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Conceição,Chaiane G. da; Robaina,Adroaldo D.; Peiter,Marcia X.; Parizi,Ana R. C.; Conceição,João A. da; Bruning,Jhosefe. |
ABSTRACT Common bean crop plays an important role in the world, not only in economic aspects but also in social development. The objective of this study was to evaluate the grain yield and the economically optimal water depth which reflects the maximum technical efficiency of the common bean crop. The experiment was conducted in greenhouse, in Alegrete - RS, from February to May 2016. A completely randomized design was used, consisting of five water replacement treatments (25, 50, 75, 100 and 125% crop evapotranspiration - ETc) and four replicates. Based on the obtained results, both water deficit and water excess directly affected the final grain yield of the crop. Maximum grain yield was 3,554.1 kg ha-1, obtained by applying 492.72 mm (100% ETc). On the... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Phaseolus vulgaris L.; Water management; Yield components. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000700482 |
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