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| 1. |  | CARRERA, M. P.; MARTINEZ, A.; RIBEIRO, M. N.; CABELLO, A.; PIMENTA, E. C.; DELGADO, J. V. Caracterización genetica de las razas caprinas brasileñas con microsatelites. CONGRESSO IBEROAMERICANO DE RAZAS CRIOLLAS Y AUTOCTONAS, 6.; SIMPOSIO IBEROAMERICANO SOBRE CONSERVACION Y UTILIZACION DE RECURSOS ZOOGENÉTICOS, 4., 2003, Recife. [S.l.]: Federación Iberoamericana de Razas Criollas: CYTED, 2003. Não paginado.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| Registros recuperados : 1 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
25/11/2014 |
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Data da última atualização: |
22/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MARIN, F. R.; COSTA, L. G.; NASSIF, D. S. P.; PINTO, H. M. S.; MEDEIROS, S. R. R. |
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Afiliação: |
FABIO RICARDO MARIN, CNPTIA; LEANDRO G. COSTA, Esalq/USP; DANIEL S. P. NASSIF, Esalq/USP; HELENA, M. S. PINTO, UFSCar; SÉRGIO R. R. MEDEIROS. |
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Título: |
Characterizing Brazilian climate zones for up-scaling the simulated crop yield potential. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 18.; REUNIÃO LATINO-AMERICANA DE AGROMETEOROLOGIA, 7., 2013, Belém, PA. Cenários de mudanças climáticas e a sustentabilidade socioambiental e do agronegócio na Amazônia: anais. [Belém, PA: UFPA], 2013. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
CBA 2013, RLAA 2013. |
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Conteúdo: |
ABSTRACT: Crop models are written as sets of different equations which are solved numerically. They require time series of local environmental drivers like weather conditions and constant parameters that determine sensitivity of processes to both crop state and environment. There is a hamper on the model upscaling from point to region, and the quantification of model output uncertainity at the regional scale. This paper aimed to perform a conceptual analysis of the Brazilian climate zones based on long-term uniform weather data series (air temperature, soil water deficit, rainfall and global solar radiation), were each climatic variable were spatially organized and the maps for each one were generated by a kriging interpolation. The proposed zonation seems coherent with the agroecologycal conditions observed around Brazil, and based on the biomes, there is an agreement with the main Brazilian potential vegetation types and even with the cropping systems spatial distributions. The final map might be used for ?bottom-up? upscaling approach in order to extrapolate the location specific data to a broader scale. Further work should focus in the inclusion of soil data to reach a robust zone map to support crop model outputs up-scaling, as well as in the zones validation. |
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Palavras-Chave: |
Agrometeorologia; Interpolação; Interpolation; Modelagem. |
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Thesaurus NAL: |
Agrometeorology; Models. |
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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/132193/1/characterizing.pdf
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Marc: |
LEADER 02225nam a2200253 a 4500
001 2000868
005 2020-01-22
008 2013 bl uuuu u00u1 u #d
100 1 $aMARIN, F. R.
245 $aCharacterizing Brazilian climate zones for up-scaling the simulated crop yield potential.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 18.; REUNIÃO LATINO-AMERICANA DE AGROMETEOROLOGIA, 7., 2013, Belém, PA. Cenários de mudanças climáticas e a sustentabilidade socioambiental e do agronegócio na Amazônia: anais. [Belém, PA: UFPA]$c2013
300 $aNão paginado.
500 $aCBA 2013, RLAA 2013.
520 $aABSTRACT: Crop models are written as sets of different equations which are solved numerically. They require time series of local environmental drivers like weather conditions and constant parameters that determine sensitivity of processes to both crop state and environment. There is a hamper on the model upscaling from point to region, and the quantification of model output uncertainity at the regional scale. This paper aimed to perform a conceptual analysis of the Brazilian climate zones based on long-term uniform weather data series (air temperature, soil water deficit, rainfall and global solar radiation), were each climatic variable were spatially organized and the maps for each one were generated by a kriging interpolation. The proposed zonation seems coherent with the agroecologycal conditions observed around Brazil, and based on the biomes, there is an agreement with the main Brazilian potential vegetation types and even with the cropping systems spatial distributions. The final map might be used for ?bottom-up? upscaling approach in order to extrapolate the location specific data to a broader scale. Further work should focus in the inclusion of soil data to reach a robust zone map to support crop model outputs up-scaling, as well as in the zones validation.
650 $aAgrometeorology
650 $aModels
653 $aAgrometeorologia
653 $aInterpolação
653 $aInterpolation
653 $aModelagem
700 1 $aCOSTA, L. G.
700 1 $aNASSIF, D. S. P.
700 1 $aPINTO, H. M. S.
700 1 $aMEDEIROS, S. R. R.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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