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Registros recuperados : 33 | |
19. | | LIU, W.; LI, M.; AI, L.; JIN, Z.; DONG, S. Studies on the acclimatisation of Angora goats in Shanxi Province and recommended management practices. In: INTERNATIONAL CONFERENCE ON GOATS, 6., 1996, Beijing, China. Proceedings... Beijing, China: International Academic, 1996. v. 1, p. 454-457. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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20. | | LIU, W.; LI, M.; AI, L.; JIN, Z. Studies on the acclimatization of Angora goats in Shanxi Province and recommended management practices. In: INTERNATIONAL CONFERENCE ON GOATS, 6., 1996, Beijing, China. Proceedings... Beijing, China: International Academic, 1996. v. 2, p. 973-976. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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Registros recuperados : 33 | |
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Registro Completo
Biblioteca(s): |
Embrapa Semiárido; Embrapa Unidades Centrais. |
Data corrente: |
17/10/2008 |
Data da última atualização: |
06/09/2018 |
Tipo da produção científica: |
Folder/Folheto/Cartilha |
Autoria: |
LIU, W. T. H.; GARAGORRY, F. L.; LIU, B. W. H. |
Afiliação: |
William T. H. Liu, Concultor CPATSA; FERNANDO L. GARAGORRY, Concultor CPATSA; Berverly W. H. Liu, Concultor CPATSA. |
Título: |
Analysis of agricultural risk based on the information of climate, soil and crop conditions. |
Ano de publicação: |
1978 |
Fonte/Imprenta: |
Petrolina: EMBRAPA-CPATSA, 1978. |
Páginas: |
12 p. |
Idioma: |
Inglês Português |
Notas: |
Contribution from the National Research Center for the Semi-Arid (EMBRAPA-CPATSA), Petrolina-PE. |
Conteúdo: |
The prediction of erop success based on the analysis of long term climate data was attempted by asing a computer simuiation approach. The 5 day-rainfali amounts at different probability leveis were analyzed by using an incomplete gamma distribution statistical pac}cage. A simple water balance model was progranuued to estimate the field water balance through the year. The combinations of different soil water storage capacities with different erop water requirements allow one to predict the probabilities of crop success under different sou environments for different crops. The fittinq of the available soí1 water with Ihe crop water use throtxqhout the year provide the information of sowing time, harvest time and possible dry spells. It helps the farmers to have a better crop planting. With knowing the local soU water storage capacity and the crops intended for pianting, one can easily tell the sowing time and the crop success probability from the output of this model. Furthermore, the model analysis provides the simple antena for crop zoning while the water requirement of dËsired crop and soil water storage capacity are obtained. The zoning of important crops may also provide a better arop rotation system based on the appropriate soil and water managements. |
Palavras-Chave: |
Agricultura de risco; Agricultural risk; Cultura; Information climate; Manejo de solo e água; Probabilidade. |
Thesagro: |
Análise de Risco; Clima; Estatística; Seca; Solo. |
Categoria do assunto: |
-- P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/182517/1/FL-00800.pdf
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Marc: |
LEADER 02128nam a2200289 a 4500 001 1159840 005 2018-09-06 008 1978 bl uuuu u0uu1 u #d 100 1 $aLIU, W. T. H. 245 $aAnalysis of agricultural risk based on the information of climate, soil and crop conditions. 260 $aPetrolina: EMBRAPA-CPATSA$c1978 300 $a12 p. 500 $aContribution from the National Research Center for the Semi-Arid (EMBRAPA-CPATSA), Petrolina-PE. 520 $aThe prediction of erop success based on the analysis of long term climate data was attempted by asing a computer simuiation approach. The 5 day-rainfali amounts at different probability leveis were analyzed by using an incomplete gamma distribution statistical pac}cage. A simple water balance model was progranuued to estimate the field water balance through the year. The combinations of different soil water storage capacities with different erop water requirements allow one to predict the probabilities of crop success under different sou environments for different crops. The fittinq of the available soí1 water with Ihe crop water use throtxqhout the year provide the information of sowing time, harvest time and possible dry spells. It helps the farmers to have a better crop planting. With knowing the local soU water storage capacity and the crops intended for pianting, one can easily tell the sowing time and the crop success probability from the output of this model. Furthermore, the model analysis provides the simple antena for crop zoning while the water requirement of dËsired crop and soil water storage capacity are obtained. The zoning of important crops may also provide a better arop rotation system based on the appropriate soil and water managements. 650 $aAnálise de Risco 650 $aClima 650 $aEstatística 650 $aSeca 650 $aSolo 653 $aAgricultura de risco 653 $aAgricultural risk 653 $aCultura 653 $aInformation climate 653 $aManejo de solo e água 653 $aProbabilidade 700 1 $aGARAGORRY, F. L. 700 1 $aLIU, B. W. H.
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Embrapa Semiárido (CPATSA) |
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