Climate drivers affecting upland rice yield in the central region of Brazil.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2024 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161243 https://doi.org/10.1590/1983-40632024v5477222 |
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. |
id |
EMBR_b142352115a0917642e16180414e89bd |
---|---|
oai_identifier_str |
oai:www.alice.cnptia.embrapa.br:doc/1161243 |
network_acronym_str |
EMBR |
network_name_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository_id_str |
2154 |
spelling |
Climate drivers affecting upland rice yield in the central region of Brazil.Modelo aditivo generalizadoPrevisão ambientalEnviromics predictionArrozOryza SativaRisco ClimáticoClimaRicePredictionClimateThe 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.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.HEINEMANN, A. B.STONE, L. F.SILVA, G. C. C.MATTA, D. H. daJUSTINO, L. F.SILVA, S. C. da2024-01-24T14:33:30Z2024-01-24T14:33:30Z2024-01-242024info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Tropical, v. 54, e77222, 2024.1983-4063http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161243https://doi.org/10.1590/1983-40632024v5477222enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2024-01-24T14:33:30Zoai:www.alice.cnptia.embrapa.br:doc/1161243Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542024-01-24T14:33:30falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542024-01-24T14:33:30Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Climate drivers affecting upland rice yield in the central region of Brazil. |
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, A. B. Modelo aditivo generalizado Previsão ambiental Enviromics prediction Arroz Oryza Sativa Risco Climático Clima Rice Prediction Climate |
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, A. B. |
author_facet |
HEINEMANN, A. B. STONE, L. F. SILVA, G. C. C. MATTA, D. H. da JUSTINO, L. F. SILVA, S. C. da |
author_role |
author |
author2 |
STONE, L. F. SILVA, G. C. C. MATTA, D. H. da JUSTINO, L. F. SILVA, S. C. da |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
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. |
dc.contributor.author.fl_str_mv |
HEINEMANN, A. B. STONE, L. F. SILVA, G. C. C. MATTA, D. H. da JUSTINO, L. F. SILVA, S. C. da |
dc.subject.por.fl_str_mv |
Modelo aditivo generalizado Previsão ambiental Enviromics prediction Arroz Oryza Sativa Risco Climático Clima Rice Prediction Climate |
topic |
Modelo aditivo generalizado Previsão ambiental Enviromics prediction Arroz Oryza Sativa Risco Climático Clima Rice Prediction Climate |
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. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-01-24T14:33:30Z 2024-01-24T14:33:30Z 2024-01-24 2024 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Pesquisa Agropecuária Tropical, v. 54, e77222, 2024. 1983-4063 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161243 https://doi.org/10.1590/1983-40632024v5477222 |
identifier_str_mv |
Pesquisa Agropecuária Tropical, v. 54, e77222, 2024. 1983-4063 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161243 https://doi.org/10.1590/1983-40632024v5477222 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
_version_ |
1794503556778164224 |