ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHO

The modeling for agriculture is a mathematical tool that allows us to weigh the effects of factors, environmental or management on crop productivity. Therefore, the aim of this study was to evaluate the efficiency of mathematical models, in the estimation of the productivity of maize over the need f...

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Main Authors: MARCIELA RODRIGUES SILVA, THOMAS NEWTON MARTIN, PAULO SERGIO PAVINATO, MARCOS DA SILVA BRUM
Format: Article
Language:English
Published: Universidade Federal Rural do Semi-Árido 2015-01-01
Series:Revista Caatinga
Online Access:http://www.redalyc.org/articulo.oa?id=237141066002
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spelling doaj-284965c41e684b10896d6cd99e86ac212020-11-24T21:35:12ZengUniversidade Federal Rural do Semi-ÁridoRevista Caatinga0100-316X1983-21252015-01-012831224ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHOMARCIELA RODRIGUES SILVATHOMAS NEWTON MARTINPAULO SERGIO PAVINATOMARCOS DA SILVA BRUMThe modeling for agriculture is a mathematical tool that allows us to weigh the effects of factors, environmental or management on crop productivity. Therefore, the aim of this study was to evaluate the efficiency of mathematical models, in the estimation of the productivity of maize over the need for nitrogen fertilization. Estimates of nitrogen fertilization were performed to obtain the potential productivity and depleted grain yield and silage corn genotypes. The Model 1 was based on estimates obtained in the literature and Model 2 on estimates generated by the proposed alternative model, calibrated with data observed in the experiment. To evaluate the performance of the models we used statistical indicators, such as Pearson correlation coefficient, Willmott agreement index, the performance index of Camargo, percentage deviation and medium square error. Recommendations of nitrogen generated by the models for the potential productivity and depleted much grain as silage were higher compared with the recommendations of the culture ways. The AG30A91 genotype had a higher leaf area index, reflecting higher estimates of potential productivity and depleted grain and silage. The model 2 can be used to estimate the yield of grain and silage and the need for simulation of nitrogen for grain production, however, requires adjustments to estimate nitrogen needs for the production of silage. Both models are efficient in simulating the crop cycle.http://www.redalyc.org/articulo.oa?id=237141066002
collection DOAJ
language English
format Article
sources DOAJ
author MARCIELA RODRIGUES SILVA
THOMAS NEWTON MARTIN
PAULO SERGIO PAVINATO
MARCOS DA SILVA BRUM
spellingShingle MARCIELA RODRIGUES SILVA
THOMAS NEWTON MARTIN
PAULO SERGIO PAVINATO
MARCOS DA SILVA BRUM
ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHO
Revista Caatinga
author_facet MARCIELA RODRIGUES SILVA
THOMAS NEWTON MARTIN
PAULO SERGIO PAVINATO
MARCOS DA SILVA BRUM
author_sort MARCIELA RODRIGUES SILVA
title ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHO
title_short ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHO
title_full ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHO
title_fullStr ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHO
title_full_unstemmed ESTIMATIVAS DA NECESSIDADE DE NITROGÊNIO PARA PRODUÇÃO DE GRÃOS E SILAGEM DE MILHO
title_sort estimativas da necessidade de nitrogênio para produção de grãos e silagem de milho
publisher Universidade Federal Rural do Semi-Árido
series Revista Caatinga
issn 0100-316X
1983-2125
publishDate 2015-01-01
description The modeling for agriculture is a mathematical tool that allows us to weigh the effects of factors, environmental or management on crop productivity. Therefore, the aim of this study was to evaluate the efficiency of mathematical models, in the estimation of the productivity of maize over the need for nitrogen fertilization. Estimates of nitrogen fertilization were performed to obtain the potential productivity and depleted grain yield and silage corn genotypes. The Model 1 was based on estimates obtained in the literature and Model 2 on estimates generated by the proposed alternative model, calibrated with data observed in the experiment. To evaluate the performance of the models we used statistical indicators, such as Pearson correlation coefficient, Willmott agreement index, the performance index of Camargo, percentage deviation and medium square error. Recommendations of nitrogen generated by the models for the potential productivity and depleted much grain as silage were higher compared with the recommendations of the culture ways. The AG30A91 genotype had a higher leaf area index, reflecting higher estimates of potential productivity and depleted grain and silage. The model 2 can be used to estimate the yield of grain and silage and the need for simulation of nitrogen for grain production, however, requires adjustments to estimate nitrogen needs for the production of silage. Both models are efficient in simulating the crop cycle.
url http://www.redalyc.org/articulo.oa?id=237141066002
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AT thomasnewtonmartin estimativasdanecessidadedenitrogenioparaproducaodegraosesilagemdemilho
AT paulosergiopavinato estimativasdanecessidadedenitrogenioparaproducaodegraosesilagemdemilho
AT marcosdasilvabrum estimativasdanecessidadedenitrogenioparaproducaodegraosesilagemdemilho
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