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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
17/07/2017 |
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Data da última atualização: |
18/07/2017 |
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Autoria: |
CERA, J. C.; STRECK, N. A.; FENSTERSEIFER, C. A. J.; FERRAZ, S. E. T.; BEXAIRA, K. P.; SILVEIRA, W. B.; CARDOSO, A. P. |
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Afiliação: |
Jossana Ceolin Cera, Universidade Federal de Santa Maria; Nereu Augusto Streck, Universidade Federal de Santa Maria; Cesar Augusto Jarutais Fensterseifer, Universidade Federal de Santa Maria; Simone Erotildes Teleginski Ferraz, Universidade Federal de Santa Maria; Kelin Pribs Bexaira, Universidade Federal de Santa Maria; Waleska Bolzon Silveira, Universidade Federal de Santa Maria; Ânthony Paz Cardoso, Universidade Federal de Santa Maria. |
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Título: |
Soybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 6, p. 380-392, jun. 2017. |
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Idioma: |
Inglês |
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Notas: |
Título em Português: Produtividade de soja em cenários climáticos futuros para o Rio Grande do Sul. |
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Conteúdo: |
The objective of this work was to estimate the yield potential and the water‑limited yield of soybean (Glycine max) in the state of Rio Grande do Sul, Brazil, in two future climate scenarios, SRES A1B and RCP4.5, using the SoySim and Cropgro‑Soybean simulation models. In both models, three maturity groups (4.8, 5.5, and 6.0) and six sowing dates (09/01, 10/01, 11/01, 12/01, 01/01, and 02/01) were considered in the SRES A1B‑CMIP3 and RCP4.5‑CMIP5 scenarios. The analyzed variable was grain yield at 13% moisture (Mg ha‑1). Soybean yield potential in Rio Grande do Sul should increase up to the end of the 21st century, according to both scenarios. Water‑limited yield of soybean also increases up to the end of the 21st century, by the SRES A1B‑CMIP3 scenario; however, it will decrease in future periods, by the RCP4.5‑CMIP5 scenario because of limited soil water. |
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Palavras-Chave: |
Modelo Cropgro Soybean; Modelo SoySim; RCP4 5; SRES A1B. |
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Thesagro: |
Glycine Max; Mudança Climática. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161850/1/Soybean-yield-in-future.pdf
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Marc: |
LEADER 01806naa a2200277 a 4500
001 2072779
005 2017-07-18
008 2017 bl uuuu u00u1 u #d
100 1 $aCERA, J. C.
245 $aSoybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil.
260 $c2017
500 $aTítulo em Português: Produtividade de soja em cenários climáticos futuros para o Rio Grande do Sul.
520 $aThe objective of this work was to estimate the yield potential and the water‑limited yield of soybean (Glycine max) in the state of Rio Grande do Sul, Brazil, in two future climate scenarios, SRES A1B and RCP4.5, using the SoySim and Cropgro‑Soybean simulation models. In both models, three maturity groups (4.8, 5.5, and 6.0) and six sowing dates (09/01, 10/01, 11/01, 12/01, 01/01, and 02/01) were considered in the SRES A1B‑CMIP3 and RCP4.5‑CMIP5 scenarios. The analyzed variable was grain yield at 13% moisture (Mg ha‑1). Soybean yield potential in Rio Grande do Sul should increase up to the end of the 21st century, according to both scenarios. Water‑limited yield of soybean also increases up to the end of the 21st century, by the SRES A1B‑CMIP3 scenario; however, it will decrease in future periods, by the RCP4.5‑CMIP5 scenario because of limited soil water.
650 $aGlycine Max
650 $aMudança Climática
653 $aModelo Cropgro Soybean
653 $aModelo SoySim
653 $aRCP4 5
653 $aSRES A1B
700 1 $aSTRECK, N. A.
700 1 $aFENSTERSEIFER, C. A. J.
700 1 $aFERRAZ, S. E. T.
700 1 $aBEXAIRA, K. P.
700 1 $aSILVEIRA, W. B.
700 1 $aCARDOSO, A. P.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 52, n. 6, p. 380-392, jun. 2017.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
15/01/2013 |
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Data da última atualização: |
22/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
PALHARES, J. C. P.; GUIDONI, A. L.; STEINMETZ, R. L. R.; MULINARI, M. R.; SIGUA, G. C. |
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Afiliação: |
JULIO CESAR PASCALE PALHARES, CPPSE; ANTONIO LOURENCO GUIDONI, CPACT; RICARDO LUIS RADIS STEINMETZ, CNPSA; MAGDA REGINA MULINARI, CNPSA; G. C. SIGUA, COASSTAL PLAINS SOIL, WATER, AND PLANT RESEARCH CCENTER/FLORENCE-USA. |
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Título: |
Impacts of mixed farms on water quality of Pinhal river sub-basin, Santa Catarina, Brazil. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Archivos de Zootecnia, v. 61, n. 236, p. 493-504, 2012. |
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DOI: |
10.4321/S0004-05922012000400002 |
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Idioma: |
Inglês |
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Conteúdo: |
Brazil is one of the largest producers of food in the world. Agriculture and livestock production are concentrated in certain regions of the country. Livestock has been perceived as a constant threat to the quantity and quality of water resources. The objective of this study was to evaluate the impact of mixed farms on superficial water quality in Pinhal River sub-basin, which is located in Concordia, Santa Catarina State. Eight sampling sites representing different land-uses (LU1: dairy cattle; LU2: without animals; LU3: dairy + pigs + poultry + crops; LU4: pigs + poultry + crops; LU5: dairy + pigs + poultry + crops + human; LU6: dairy + pigs + crops; LU7 and LU8: dairy + pigs) were evaluated. These sampling sites were assessed longitudinally and sampled during the summer, spring, autumn, and winter of 2006 to 2009. LU1 presented the worst water quality with high concentrations of total suspended solids (TSS) and chemical oxygen demand. In this point, cows had access to the river. The highest concentration of nitrate (NO3-N) was found at the estuary of the river. There were higher concentrations of TSS, NO3-N and NO2-N in wet season. At this time, intensive fertilizer application to corn fields is common. Autumn and winter presented the worst water quality with respect to nitrogen concentration. Results showed a strong relationship between the sources of pollution (e.g., cows, pigs and poultries) and water quality. Managing the use of animal manure with optimum chemical fertilizer applications along with riparian fencing may provide important mitigation options for protecting water quality of Pinhal River. MenosBrazil is one of the largest producers of food in the world. Agriculture and livestock production are concentrated in certain regions of the country. Livestock has been perceived as a constant threat to the quantity and quality of water resources. The objective of this study was to evaluate the impact of mixed farms on superficial water quality in Pinhal River sub-basin, which is located in Concordia, Santa Catarina State. Eight sampling sites representing different land-uses (LU1: dairy cattle; LU2: without animals; LU3: dairy + pigs + poultry + crops; LU4: pigs + poultry + crops; LU5: dairy + pigs + poultry + crops + human; LU6: dairy + pigs + crops; LU7 and LU8: dairy + pigs) were evaluated. These sampling sites were assessed longitudinally and sampled during the summer, spring, autumn, and winter of 2006 to 2009. LU1 presented the worst water quality with high concentrations of total suspended solids (TSS) and chemical oxygen demand. In this point, cows had access to the river. The highest concentration of nitrate (NO3-N) was found at the estuary of the river. There were higher concentrations of TSS, NO3-N and NO2-N in wet season. At this time, intensive fertilizer application to corn fields is common. Autumn and winter presented the worst water quality with respect to nitrogen concentration. Results showed a strong relationship between the sources of pollution (e.g., cows, pigs and poultries) and water quality. Managing the use of animal manure with optimum chemical fer... Mostrar Tudo |
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Palavras-Chave: |
Aves de corte; Dairy; Dejetos; Pig. |
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Thesagro: |
Gado Leiteiro; Suíno. |
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Thesaurus NAL: |
Poultry; Slurries. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/74142/1/PROCI-2012.00272.pdf
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Marc: |
LEADER 02412naa a2200277 a 4500
001 1945194
005 2023-02-22
008 2012 bl uuuu u00u1 u #d
024 7 $a10.4321/S0004-05922012000400002 $2DOI
100 1 $aPALHARES, J. C. P.
245 $aImpacts of mixed farms on water quality of Pinhal river sub-basin, Santa Catarina, Brazil.$h[electronic resource]
260 $c2012
520 $aBrazil is one of the largest producers of food in the world. Agriculture and livestock production are concentrated in certain regions of the country. Livestock has been perceived as a constant threat to the quantity and quality of water resources. The objective of this study was to evaluate the impact of mixed farms on superficial water quality in Pinhal River sub-basin, which is located in Concordia, Santa Catarina State. Eight sampling sites representing different land-uses (LU1: dairy cattle; LU2: without animals; LU3: dairy + pigs + poultry + crops; LU4: pigs + poultry + crops; LU5: dairy + pigs + poultry + crops + human; LU6: dairy + pigs + crops; LU7 and LU8: dairy + pigs) were evaluated. These sampling sites were assessed longitudinally and sampled during the summer, spring, autumn, and winter of 2006 to 2009. LU1 presented the worst water quality with high concentrations of total suspended solids (TSS) and chemical oxygen demand. In this point, cows had access to the river. The highest concentration of nitrate (NO3-N) was found at the estuary of the river. There were higher concentrations of TSS, NO3-N and NO2-N in wet season. At this time, intensive fertilizer application to corn fields is common. Autumn and winter presented the worst water quality with respect to nitrogen concentration. Results showed a strong relationship between the sources of pollution (e.g., cows, pigs and poultries) and water quality. Managing the use of animal manure with optimum chemical fertilizer applications along with riparian fencing may provide important mitigation options for protecting water quality of Pinhal River.
650 $aPoultry
650 $aSlurries
650 $aGado Leiteiro
650 $aSuíno
653 $aAves de corte
653 $aDairy
653 $aDejetos
653 $aPig
700 1 $aGUIDONI, A. L.
700 1 $aSTEINMETZ, R. L. R.
700 1 $aMULINARI, M. R.
700 1 $aSIGUA, G. C.
773 $tArchivos de Zootecnia$gv. 61, n. 236, p. 493-504, 2012.
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Embrapa Pecuária Sudeste (CPPSE) |
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