MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/199 |
Resumo: | Climate has significant impact on crop growth and development, and several agro-meteorological models have been used for its quantification. Considering the importance of simple models capable of considering effects of various factors on yield potential, and the absences of data regarding there application under tropical conditions, this work was done to calculate and compare the potential yield of bean and maize crops in the mesoregions of Minas Gerais State. Using daily meteorological data from 1975 to 2004, some process-based models such as Blackman’s equation, the negative exponential, rectangular hyperbole, non-rectangular hyperbole, and the efficient radiation use, were used as the central part to calculate carbon balance in order to estimate yield variability of maize and bean crops. The percent difference between the model predicting highest and the lowest estimates was 105% for bean and 108% for maize crops. The potential yield estimated by these models differed significantly, indicating criteria based choice of the model to be used. |
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MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPSMODELOS DE ESTIMATIVA DE PRODUTIVIDADE POTENCIAL PARA AS CULTURAS DO FEIJÃO E DO MILHOModelo agrometeorológicobalanço de carbonoestimativa de produtividadeClimate has significant impact on crop growth and development, and several agro-meteorological models have been used for its quantification. Considering the importance of simple models capable of considering effects of various factors on yield potential, and the absences of data regarding there application under tropical conditions, this work was done to calculate and compare the potential yield of bean and maize crops in the mesoregions of Minas Gerais State. Using daily meteorological data from 1975 to 2004, some process-based models such as Blackman’s equation, the negative exponential, rectangular hyperbole, non-rectangular hyperbole, and the efficient radiation use, were used as the central part to calculate carbon balance in order to estimate yield variability of maize and bean crops. The percent difference between the model predicting highest and the lowest estimates was 105% for bean and 108% for maize crops. The potential yield estimated by these models differed significantly, indicating criteria based choice of the model to be used.O clima tem significativo impacto no crescimento e desenvolvimento das culturas. Muitos modelos agrometeorológicos têm sido utilizados para quantificar estes impactos. Diante da importância da disponibilidade de modelos simples, capazes de considerar os efeitos de diversos fatores na produtividade potencial, ainda que os resultados dos modelos mais utilizados ainda não tenham sido comparados em condições tropicais, este trabalho foi desenvolvido com os seguintes objetivos: calcular e comparar a produtividade potencial das culturas do feijão e do milho em algumas mesorregiões do Estado de Minas Gerais. Para tanto, modelos baseados em processos, utilizando as equações de Blackman, hipérbole retangular, exponencial negativa, hipérbole não retangular e uso eficiente da radiação, como parte central no cálculo do balanço de carbono, foram utilizados para estimar a variabilidade da produtividade das culturas de milho e feijão, em algumas mesorregiões do Estado de Minas Gerais, a partir de dados diários meteorológicos históricos de 1975 a 2004. A diferença percentual entre o modelo de maior estimativa de produtividade e o de menor foi de 105% para a cultura do feijão e de 108% para a cultura do milho. A produtividade potencial, calculada por meio dos diferentes modelos, diferiu substancialmente, indicando que a escolha do modelo a ser usado deve ser feita de forma criteriosa.Universidade Federal de Viçosa - UFV2011-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/19910.13083/reveng.v19i4.218Engineering in Agriculture; Vol. 19 No. 4 (2011); 304-312Revista Engenharia na Agricultura - REVENG; v. 19 n. 4 (2011); 304-3122175-68131414-398410.13083/reveng.v19i4reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/199/161Oliveira, Leydimere Janny CotaCosta, Luiz CláudioSediyama, Gilberto ChohakuFerreira, Williams Pinto MarquesOliveira, Marcelo Jorge deinfo:eu-repo/semantics/openAccess2023-01-19T12:54:59Zoai:ojs.periodicos.ufv.br:article/199Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T12:54:59Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS MODELOS DE ESTIMATIVA DE PRODUTIVIDADE POTENCIAL PARA AS CULTURAS DO FEIJÃO E DO MILHO |
title |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS |
spellingShingle |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS Oliveira, Leydimere Janny Cota Modelo agrometeorológico balanço de carbono estimativa de produtividade |
title_short |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS |
title_full |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS |
title_fullStr |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS |
title_full_unstemmed |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS |
title_sort |
MODELS TO ESTIMATE POTENTIAL YIELD OF BEANS AND MAIZE CROPS |
author |
Oliveira, Leydimere Janny Cota |
author_facet |
Oliveira, Leydimere Janny Cota Costa, Luiz Cláudio Sediyama, Gilberto Chohaku Ferreira, Williams Pinto Marques Oliveira, Marcelo Jorge de |
author_role |
author |
author2 |
Costa, Luiz Cláudio Sediyama, Gilberto Chohaku Ferreira, Williams Pinto Marques Oliveira, Marcelo Jorge de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Leydimere Janny Cota Costa, Luiz Cláudio Sediyama, Gilberto Chohaku Ferreira, Williams Pinto Marques Oliveira, Marcelo Jorge de |
dc.subject.por.fl_str_mv |
Modelo agrometeorológico balanço de carbono estimativa de produtividade |
topic |
Modelo agrometeorológico balanço de carbono estimativa de produtividade |
description |
Climate has significant impact on crop growth and development, and several agro-meteorological models have been used for its quantification. Considering the importance of simple models capable of considering effects of various factors on yield potential, and the absences of data regarding there application under tropical conditions, this work was done to calculate and compare the potential yield of bean and maize crops in the mesoregions of Minas Gerais State. Using daily meteorological data from 1975 to 2004, some process-based models such as Blackman’s equation, the negative exponential, rectangular hyperbole, non-rectangular hyperbole, and the efficient radiation use, were used as the central part to calculate carbon balance in order to estimate yield variability of maize and bean crops. The percent difference between the model predicting highest and the lowest estimates was 105% for bean and 108% for maize crops. The potential yield estimated by these models differed significantly, indicating criteria based choice of the model to be used. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/199 10.13083/reveng.v19i4.218 |
url |
https://periodicos.ufv.br/reveng/article/view/199 |
identifier_str_mv |
10.13083/reveng.v19i4.218 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/199/161 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 19 No. 4 (2011); 304-312 Revista Engenharia na Agricultura - REVENG; v. 19 n. 4 (2011); 304-312 2175-6813 1414-3984 10.13083/reveng.v19i4 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211144566112256 |