Climate drivers affecting upland rice yield in the central region of Brazil
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , |
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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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:2024-05-21T19:56:40.355707Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true |
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 |
_version_ |
1799874821640683520 |