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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
18/01/2022 |
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Data da última atualização: |
18/01/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, K. R.; FERREIRA, W. P. M.; FONSECA, H. P.; SOUZA, C. F. |
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Afiliação: |
KARINE RABELO OLIVEIRA, UFV; WILLIAMS PINTO MARQUES FERREIRA, CNPCa; HUMBERTO PAIVA FONSECA, UFV; CECÍLIA FÁTIMA SOUZA, UFV. |
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Título: |
Influence of temperature and altitude on the expansion of coffee crops in matas de Minas, Brazil. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Engenharia na Agricultura, v. 28, p. 157-165, 2020. |
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DOI: |
https://doi.org/10.13083/reveng.v28i.6360 |
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Idioma: |
Inglês |
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Notas: |
Título em português: Influência da temperatura e altitude na expansão da cultura do café nas matas de minas, Brasil. |
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Conteúdo: |
Coffee is among the most significant products in Brazil. Minas Gerais is the largest state producer of Arabica coffee. Coffee activity has excellent growth potential, which justifies the identification of new areas for expansion of the culture. This study aimed to determine factors that affect the spatial distribution of coffee plantations the most, as well as to identify areas with a greater aptitude for its expansion in the region of the Matas de Minas (63 municipalities). The MaxEnt software was used to elaborate a model capable of describing the area with the highest potential for estimating the probability of coffee adequacy. The elaboration of the model considered the records of occurrence, climatic and topographic variables of Matas de Minas, the second largest state producing region. The area under the curve (AUC), the omission rate and the Jackknife test were used for validation and analysis of the model. The model was accurate with an AUC of 0.816 and omission rate of 0.54% for the ?test?. It was identified that the potential distribution of coffee in Matas de Minas is determined by changes in the annual maximum temperature, although it did not generate a significant gain when omitted, accounting for a considerable loss in the model. However, the most influential variables on the delineation of distribution were, the altitude and the annual average temperature. The most favorable areas for expansion of coffee culture in the Matas de Minas were found in the vicinity of the region of Alto Caparaó. Abbreviations used: A1 (altitude); A2 (maximum annual temperature); A3 (annual minimum temperature); BIO 1 (annual average temperature 1); BIO 4 (temperature seasonality), BIO 12 (annual precipitation); BIO 15 (precipitation seasonality); csv (comma-separated values); AUC (area under the curve). MenosCoffee is among the most significant products in Brazil. Minas Gerais is the largest state producer of Arabica coffee. Coffee activity has excellent growth potential, which justifies the identification of new areas for expansion of the culture. This study aimed to determine factors that affect the spatial distribution of coffee plantations the most, as well as to identify areas with a greater aptitude for its expansion in the region of the Matas de Minas (63 municipalities). The MaxEnt software was used to elaborate a model capable of describing the area with the highest potential for estimating the probability of coffee adequacy. The elaboration of the model considered the records of occurrence, climatic and topographic variables of Matas de Minas, the second largest state producing region. The area under the curve (AUC), the omission rate and the Jackknife test were used for validation and analysis of the model. The model was accurate with an AUC of 0.816 and omission rate of 0.54% for the ?test?. It was identified that the potential distribution of coffee in Matas de Minas is determined by changes in the annual maximum temperature, although it did not generate a significant gain when omitted, accounting for a considerable loss in the model. However, the most influential variables on the delineation of distribution were, the altitude and the annual average temperature. The most favorable areas for expansion of coffee culture in the Matas de Minas were found in the vicinity... Mostrar Tudo |
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Thesagro: |
Cafeicultura; Coffea Arábica. |
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Thesaurus Nal: |
Coffea arabica var. arabica; Cultivation area. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230344/1/influence-of-temperature-and-altitude.pdf
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Marc: |
LEADER 02659naa a2200229 a 4500
001 2139137
005 2022-01-18
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.13083/reveng.v28i.6360$2DOI
100 1 $aOLIVEIRA, K. R.
245 $aInfluence of temperature and altitude on the expansion of coffee crops in matas de Minas, Brazil.$h[electronic resource]
260 $c2020
500 $aTítulo em português: Influência da temperatura e altitude na expansão da cultura do café nas matas de minas, Brasil.
520 $aCoffee is among the most significant products in Brazil. Minas Gerais is the largest state producer of Arabica coffee. Coffee activity has excellent growth potential, which justifies the identification of new areas for expansion of the culture. This study aimed to determine factors that affect the spatial distribution of coffee plantations the most, as well as to identify areas with a greater aptitude for its expansion in the region of the Matas de Minas (63 municipalities). The MaxEnt software was used to elaborate a model capable of describing the area with the highest potential for estimating the probability of coffee adequacy. The elaboration of the model considered the records of occurrence, climatic and topographic variables of Matas de Minas, the second largest state producing region. The area under the curve (AUC), the omission rate and the Jackknife test were used for validation and analysis of the model. The model was accurate with an AUC of 0.816 and omission rate of 0.54% for the ?test?. It was identified that the potential distribution of coffee in Matas de Minas is determined by changes in the annual maximum temperature, although it did not generate a significant gain when omitted, accounting for a considerable loss in the model. However, the most influential variables on the delineation of distribution were, the altitude and the annual average temperature. The most favorable areas for expansion of coffee culture in the Matas de Minas were found in the vicinity of the region of Alto Caparaó. Abbreviations used: A1 (altitude); A2 (maximum annual temperature); A3 (annual minimum temperature); BIO 1 (annual average temperature 1); BIO 4 (temperature seasonality), BIO 12 (annual precipitation); BIO 15 (precipitation seasonality); csv (comma-separated values); AUC (area under the curve).
650 $aCoffea arabica var. arabica
650 $aCultivation area
650 $aCafeicultura
650 $aCoffea Arábica
700 1 $aFERREIRA, W. P. M.
700 1 $aFONSECA, H. P.
700 1 $aSOUZA, C. F.
773 $tEngenharia na Agricultura$gv. 28, p. 157-165, 2020.
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Registro original: |
Embrapa Café (CNPCa) |
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Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
13/04/2023 |
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Data da última atualização: |
14/04/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MACHALABA, C.; ADISASMITO, W. B.; ALMUHAIRI, S.; BEHRAVESH, C. B.; BILIVOGUI, P.; BUKACHI, S. A.; CASAS, N.; BECERRA, N. C.; CHARRON, D. F.; CHAUDHARY, A.; ZANELLA, J. R. C.; CUNNINGHAM, A. A.; DAR, O.; DEBNATH, N.; DUNGU, B.; FARAG, E.; GAO, G. F.; HAYMAN, D. T. S.; KHAITSA, M.; KOOPMANS, M. P. G.; MACKENZIE, J. S.; MARKOTTER, W.; METTENLEITER, T.; MORAND, S.; VYACHESLAV SMOLENSKIY, V.; ZHOU, L. |
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Afiliação: |
JANICE REIS CIACCI ZANELLA, CNPSA. |
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Título: |
One health action for health security and equity. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Lancet, v. 401, n. 10376, p. 530?533. Feb. 2023. |
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DOI: |
https://doi.org/10.1016/S0140-6736(23)00086-7 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Ecosistema; Infectious disease outbreaks; Prevenção de doenças; Saúde animal; Saúde global; Saúde humana; Segurança; Surtos de doenças infecciosas. |
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Thesagro: |
Saúde Pública. |
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Thesaurus NAL: |
Animal and human health; Biosecurity; Ecosystems; Public health. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153141/1/final10101.pdf
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Marc: |
LEADER 01588naa a2200577 a 4500
001 2153141
005 2023-04-14
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/S0140-6736(23)00086-7$2DOI
100 1 $aMACHALABA, C.
245 $aOne health action for health security and equity.$h[electronic resource]
260 $c2023
650 $aAnimal and human health
650 $aBiosecurity
650 $aEcosystems
650 $aPublic health
650 $aSaúde Pública
653 $aEcosistema
653 $aInfectious disease outbreaks
653 $aPrevenção de doenças
653 $aSaúde animal
653 $aSaúde global
653 $aSaúde humana
653 $aSegurança
653 $aSurtos de doenças infecciosas
700 1 $aADISASMITO, W. B.
700 1 $aALMUHAIRI, S.
700 1 $aBEHRAVESH, C. B.
700 1 $aBILIVOGUI, P.
700 1 $aBUKACHI, S. A.
700 1 $aCASAS, N.
700 1 $aBECERRA, N. C.
700 1 $aCHARRON, D. F.
700 1 $aCHAUDHARY, A.
700 1 $aZANELLA, J. R. C.
700 1 $aCUNNINGHAM, A. A.
700 1 $aDAR, O.
700 1 $aDEBNATH, N.
700 1 $aDUNGU, B.
700 1 $aFARAG, E.
700 1 $aGAO, G. F.
700 1 $aHAYMAN, D. T. S.
700 1 $aKHAITSA, M.
700 1 $aKOOPMANS, M. P. G.
700 1 $aMACKENZIE, J. S.
700 1 $aMARKOTTER, W.
700 1 $aMETTENLEITER, T.
700 1 $aMORAND, S.
700 1 $aVYACHESLAV SMOLENSKIY, V.
700 1 $aZHOU, L.
773 $tLancet$gv. 401, n. 10376, p. 530?533. Feb. 2023.
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Embrapa Suínos e Aves (CNPSA) |
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