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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
24/01/2024 |
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Data da última atualização: |
25/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HEINEMANN, A. B.; STONE, L. F.; SILVA, G. C. C.; MATTA, D. H. da; JUSTINO, L. F.; SILVA, S. C. da. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; LUIS FERNANDO STONE, CNPAF; GUILHERME CUSTODIO CANDIDO SILVA, UNIVERSIDADE FEDERAL DE GOIÁS; DAVID HENRIQUES DA MATTA, UNIVERSIDADE FEDERAL DE GOIÁS; LUDMILLA FERREIRA JUSTINO, UNIVERSIDADE FEDERAL DE GOIÁS; SILVANDO CARLOS DA SILVA, CNPAF. |
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Título: |
Climate drivers affecting upland rice yield in the central region of Brazil. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Tropical, v. 54, e77222, 2024. |
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ISSN: |
1983-4063 |
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DOI: |
https://doi.org/10.1590/1983-40632024v5477222 |
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Idioma: |
Inglês |
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Conteúdo: |
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. |
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Palavras-Chave: |
Enviromics prediction; Modelo aditivo generalizado; Previsão ambiental. |
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Thesagro: |
Arroz; Clima; Oryza Sativa; Risco Climático. |
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Thesaurus Nal: |
Climate; Prediction; Rice. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161243/1/pat-2024.pdf
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Marc: |
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001 2161243
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008 2024 bl uuuu u00u1 u #d
022 $a1983-4063
024 7 $ahttps://doi.org/10.1590/1983-40632024v5477222$2DOI
100 1 $aHEINEMANN, A. B.
245 $aClimate drivers affecting upland rice yield in the central region of Brazil.$h[electronic resource]
260 $c2024
520 $aThe 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.
650 $aClimate
650 $aPrediction
650 $aRice
650 $aArroz
650 $aClima
650 $aOryza Sativa
650 $aRisco Climático
653 $aEnviromics prediction
653 $aModelo aditivo generalizado
653 $aPrevisão ambiental
700 1 $aSTONE, L. F.
700 1 $aSILVA, G. C. C.
700 1 $aMATTA, D. H. da
700 1 $aJUSTINO, L. F.
700 1 $aSILVA, S. C. da
773 $tPesquisa Agropecuária Tropical$gv. 54, e77222, 2024.
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Embrapa Arroz e Feijão (CNPAF) |
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