Climate drivers affecting upland rice yield in the central region of Brazil

Detalhes bibliográficos
Autor(a) principal: Heinemann, Alexandre Bryan
Data de Publicação: 2024
Outros Autores: Stone, Luís Fernando, Silva, Guilherme Custódio Cândido, Matta, David Henriques da, Justino, Ludmilla Ferreira, Silva, Silvando Carlos da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/77222
Resumo: The upland rice production is primarily concentrated in a vast area of central Brazil. Given the region’s environmental variability, the performance of rice cultivars can differ significantly. This study aimed to identify the key climate factors influencing the upland rice yield in the central region of Brazil, encompassing four states: Goiás, Mato Grosso, Tocantins and Rondônia. A dataset comprising 177 trials involving commonly cultivated and well-adapted upland rice varieties, derived from the Embrapa’s rice breeding dataset, was analyzed. These trials were conducted in randomized blocks, with three replications, from 1996 to 2018. The generalized additive model approach was employed to adjust the non-linear relationships between environmental factors and grain yield, revealing four climatic variables: maximum air temperature throughout the growth cycle, minimum air temperature at panicle initiation, degree-days from emergence to panicle initiation and degree-days throughout the growth cycle. An increase in the maximum air temperature and degree-days throughout the growth cycle tend to decrease rice yield, while an increase in the minimum air temperature at the panicle initiation and degree-days from emergence to panicle initiation tend to increase it. KEYWORDS: Oryza sativa L., generalized additive model, enviromics prediction.
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spelling Climate drivers affecting upland rice yield in the central region of BrazilFatores climáticos que afetam a produtividade do arroz de terras altas na região central do BrasilThe upland rice production is primarily concentrated in a vast area of central Brazil. Given the region’s environmental variability, the performance of rice cultivars can differ significantly. This study aimed to identify the key climate factors influencing the upland rice yield in the central region of Brazil, encompassing four states: Goiás, Mato Grosso, Tocantins and Rondônia. A dataset comprising 177 trials involving commonly cultivated and well-adapted upland rice varieties, derived from the Embrapa’s rice breeding dataset, was analyzed. These trials were conducted in randomized blocks, with three replications, from 1996 to 2018. The generalized additive model approach was employed to adjust the non-linear relationships between environmental factors and grain yield, revealing four climatic variables: maximum air temperature throughout the growth cycle, minimum air temperature at panicle initiation, degree-days from emergence to panicle initiation and degree-days throughout the growth cycle. An increase in the maximum air temperature and degree-days throughout the growth cycle tend to decrease rice yield, while an increase in the minimum air temperature at the panicle initiation and degree-days from emergence to panicle initiation tend to increase it. KEYWORDS: Oryza sativa L., generalized additive model, enviromics prediction.A produção de arroz de terras altas está concentrada em uma vasta área do Brasil central. Devido à variabilidade ambiental na região, o desempenho das cultivares varia substancialmente. Objetivou-se determinar as principais variáveis climáticas que afetam a produtividade do arroz de terras altas na região central do Brasil, considerando-se quatro estados: Goiás, Mato Grosso, Tocantins e Rondônia. Utilizou-se um conjunto de dados composto por 177 ensaios, com variedades adaptadas e comumente cultivadas de arroz de terras altas, derivadas do conjunto de dados de melhoramento de arroz da Embrapa. Os ensaios foram conduzidos em blocos casualizados, com três repetições, de 1996 a 2018. A abordagem do modelo aditivo generalizado foi utilizada para ajustar as relações não lineares entre fatores ambientais e produtividade de grãos, tendo sido discriminadas quatro variáveis climáticas: temperatura máxima do ar durante todo o ciclo, temperatura mínima do ar na iniciação da panícula, graus-dia da emergência à iniciação da panícula e graus-dia durante todo o ciclo. O aumento da temperatura máxima do ar e dos graus-dia durante todo o ciclo tende a reduzir a produtividade do arroz, e o aumento da temperatura mínima do ar na iniciação da panícula e dos graus-dia da emergência à iniciação da panícula tende a aumentá-la. PALAVRAS-CHAVE: Oryza sativa L., modelo aditivo generalizado, previsão ambiental.Escola de Agronomia - Universidade Federal de Goiás2024-01-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/77222Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 54 (2024); e77222Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 54 (2024); e77222Pesquisa Agropecuária Tropical; v. 54 (2024); e772221983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/77222/40741Copyright (c) 2024 Pesquisa Agropecuária Tropicalinfo:eu-repo/semantics/openAccessHeinemann, Alexandre BryanStone, Luís FernandoSilva, Guilherme Custódio CândidoMatta, David Henriques daJustino, Ludmilla FerreiraSilva, Silvando Carlos da2024-01-12T16:56:39Zoai:ojs.revistas.ufg.br:article/77222Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-01-12T16:56:39Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)false
dc.title.none.fl_str_mv Climate drivers affecting upland rice yield in the central region of Brazil
Fatores climáticos que afetam a produtividade do arroz de terras altas na região central do Brasil
title Climate drivers affecting upland rice yield in the central region of Brazil
spellingShingle Climate drivers affecting upland rice yield in the central region of Brazil
Heinemann, Alexandre Bryan
title_short Climate drivers affecting upland rice yield in the central region of Brazil
title_full Climate drivers affecting upland rice yield in the central region of Brazil
title_fullStr Climate drivers affecting upland rice yield in the central region of Brazil
title_full_unstemmed Climate drivers affecting upland rice yield in the central region of Brazil
title_sort Climate drivers affecting upland rice yield in the central region of Brazil
author Heinemann, Alexandre Bryan
author_facet Heinemann, Alexandre Bryan
Stone, Luís Fernando
Silva, Guilherme Custódio Cândido
Matta, David Henriques da
Justino, Ludmilla Ferreira
Silva, Silvando Carlos da
author_role author
author2 Stone, Luís Fernando
Silva, Guilherme Custódio Cândido
Matta, David Henriques da
Justino, Ludmilla Ferreira
Silva, Silvando Carlos da
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Heinemann, Alexandre Bryan
Stone, Luís Fernando
Silva, Guilherme Custódio Cândido
Matta, David Henriques da
Justino, Ludmilla Ferreira
Silva, Silvando Carlos da
description The upland rice production is primarily concentrated in a vast area of central Brazil. Given the region’s environmental variability, the performance of rice cultivars can differ significantly. This study aimed to identify the key climate factors influencing the upland rice yield in the central region of Brazil, encompassing four states: Goiás, Mato Grosso, Tocantins and Rondônia. A dataset comprising 177 trials involving commonly cultivated and well-adapted upland rice varieties, derived from the Embrapa’s rice breeding dataset, was analyzed. These trials were conducted in randomized blocks, with three replications, from 1996 to 2018. The generalized additive model approach was employed to adjust the non-linear relationships between environmental factors and grain yield, revealing four climatic variables: maximum air temperature throughout the growth cycle, minimum air temperature at panicle initiation, degree-days from emergence to panicle initiation and degree-days throughout the growth cycle. An increase in the maximum air temperature and degree-days throughout the growth cycle tend to decrease rice yield, while an increase in the minimum air temperature at the panicle initiation and degree-days from emergence to panicle initiation tend to increase it. KEYWORDS: Oryza sativa L., generalized additive model, enviromics prediction.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/77222
url https://revistas.ufg.br/pat/article/view/77222
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/77222/40741
dc.rights.driver.fl_str_mv Copyright (c) 2024 Pesquisa Agropecuária Tropical
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Pesquisa Agropecuária Tropical
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 54 (2024); e77222
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 54 (2024); e77222
Pesquisa Agropecuária Tropical; v. 54 (2024); e77222
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
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