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| 9. |  | NASCIMENTO, W. M. Hortaliças: produção e qualidade de sementes. Horticultura Brasileira, Brasília, DF, v. 23, n. 2, ago. 2005. Suplemento 2. CD-ROM. Trabalho apresentado no 45. Congresso Brasileiro de Olericultura, Fortaleza, 2005. Publicado também como resumo em: Horticultura Brasileira, Brasília, DF, v. 23, n. 2, p. 668, ago. 2005. Suplemento 1.| Biblioteca(s): Embrapa Hortaliças. |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
31/05/2023 |
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Data da última atualização: |
31/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
NASCIMENTO, W.; MARTORANO, L. G.; ARAÚJO, L. B. de; SOUSA, J. T. R. de; DIAS, C. T. dos S. |
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Afiliação: |
WERLLESON NASCIMENTO, UNIVERSIDADE DE SÃO PAULO; LUCIETA GUERREIRO MARTORANO, CPATU; LÚCIO BORGES DE ARAÚJO, UNIVERSIDADE FEDERAL DE UBERLÂNDIA; JOÃO THIAGO RODRIGUES DE SOUSA, UNIVERSIDADE FEDERAL DO OESTE DO PARÁ; CARLOS TADEU DOS SANTOS DIAS, UNIVERSIDADE DE SÃO PAULO. |
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Título: |
Agrometeorological conditions in western Pará compared to agricultural production variables using principal component analysis. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Biotechnologie, Agronomie, Société et Environnement, v. 27, n. 2, p. 87-95, 2023. |
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DOI: |
10.25518/1780-4507.20291 |
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Idioma: |
Inglês |
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Conteúdo: |
Description of the subject. Since the beginning of the twenty-first century, soybean cultivation areas have been expanding in the Legal Amazon. Among the factors that contribute to the process of expansion of cultivation of grains in the Amazon, favorable climate conditions are one of the most important, and these include high rainfall indices and good thermal regimes during the cultivation period. Objectives. In this context, the objective of this study was to describe responses of soybean production as a function of climate variables, considering data from an important grain production center in the Amazon. Method. Principal Component Analysis (PCA) was used including the following response variables: rainfall (R), air temperature (T), real evapotranspiration, water stress (WST) and surplus, soybean area harvested (HVA), quantity produced (PD), occurrence of El Niño and La Niña (LAN). Results. Production variables were negatively correlated with precipitation and water surplus. There was also a negative correlation between El Niño, temperature and water stress. The variables that had greater weight in component 1 were R, T and WST. Considering component 2, the variables that most contributed to the variation were HVA, PD and LAN. Conclusions. The strong or severe occurrence of La Niña influences the soybean production in the region of Belterra-PA, due to the high rainfall index causing excess water in the soil, leading the plants to stress. The moderate occurrence of La Niña positively influences soybean production in the region to maintain the water supply at adequate levels for the plants. These results show the importance of monitoring climate variables for agriculture in the region MenosDescription of the subject. Since the beginning of the twenty-first century, soybean cultivation areas have been expanding in the Legal Amazon. Among the factors that contribute to the process of expansion of cultivation of grains in the Amazon, favorable climate conditions are one of the most important, and these include high rainfall indices and good thermal regimes during the cultivation period. Objectives. In this context, the objective of this study was to describe responses of soybean production as a function of climate variables, considering data from an important grain production center in the Amazon. Method. Principal Component Analysis (PCA) was used including the following response variables: rainfall (R), air temperature (T), real evapotranspiration, water stress (WST) and surplus, soybean area harvested (HVA), quantity produced (PD), occurrence of El Niño and La Niña (LAN). Results. Production variables were negatively correlated with precipitation and water surplus. There was also a negative correlation between El Niño, temperature and water stress. The variables that had greater weight in component 1 were R, T and WST. Considering component 2, the variables that most contributed to the variation were HVA, PD and LAN. Conclusions. The strong or severe occurrence of La Niña influences the soybean production in the region of Belterra-PA, due to the high rainfall index causing excess water in the soil, leading the plants to stress. The moderate occurrence of La Ni... Mostrar Tudo |
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Thesagro: |
Abastecimento de Água; Evapotranspiração; Glycine Max. |
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Thesaurus NAL: |
Amazonia; Evapotranspiration; Water supply. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154133/1/-nascimento-2023.pdf
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Marc: |
LEADER 02555naa a2200253 a 4500
001 2154133
005 2023-05-31
008 2023 bl uuuu u00u1 u #d
024 7 $a10.25518/1780-4507.20291$2DOI
100 1 $aNASCIMENTO, W.
245 $aAgrometeorological conditions in western Pará compared to agricultural production variables using principal component analysis.$h[electronic resource]
260 $c2023
520 $aDescription of the subject. Since the beginning of the twenty-first century, soybean cultivation areas have been expanding in the Legal Amazon. Among the factors that contribute to the process of expansion of cultivation of grains in the Amazon, favorable climate conditions are one of the most important, and these include high rainfall indices and good thermal regimes during the cultivation period. Objectives. In this context, the objective of this study was to describe responses of soybean production as a function of climate variables, considering data from an important grain production center in the Amazon. Method. Principal Component Analysis (PCA) was used including the following response variables: rainfall (R), air temperature (T), real evapotranspiration, water stress (WST) and surplus, soybean area harvested (HVA), quantity produced (PD), occurrence of El Niño and La Niña (LAN). Results. Production variables were negatively correlated with precipitation and water surplus. There was also a negative correlation between El Niño, temperature and water stress. The variables that had greater weight in component 1 were R, T and WST. Considering component 2, the variables that most contributed to the variation were HVA, PD and LAN. Conclusions. The strong or severe occurrence of La Niña influences the soybean production in the region of Belterra-PA, due to the high rainfall index causing excess water in the soil, leading the plants to stress. The moderate occurrence of La Niña positively influences soybean production in the region to maintain the water supply at adequate levels for the plants. These results show the importance of monitoring climate variables for agriculture in the region
650 $aAmazonia
650 $aEvapotranspiration
650 $aWater supply
650 $aAbastecimento de Água
650 $aEvapotranspiração
650 $aGlycine Max
700 1 $aMARTORANO, L. G.
700 1 $aARAÚJO, L. B. de
700 1 $aSOUSA, J. T. R. de
700 1 $aDIAS, C. T. dos S.
773 $tBiotechnologie, Agronomie, Société et Environnement$gv. 27, n. 2, p. 87-95, 2023.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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