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 | Acesso ao texto completo restrito à biblioteca da Embrapa Trigo. Para informações adicionais entre em contato com cnpt.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
03/09/1992 |
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Data da última atualização: |
11/05/2015 |
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Autoria: |
HERRERA, G.; QUIROZ, C. |
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Afiliação: |
1-2 Estacion Experimental La Platina - INIA, Santiago. |
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Título: |
Antecedentes sobre el virus del enanismo amarillo de la cebada (Barley yellow dwarf virus) y sus vectores en Chile. |
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Ano de publicação: |
1980 |
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Fonte/Imprenta: |
I Reunión Virología de Cereales. Convenio BID-IICA Cono sur. Passo Fundo. Brasil, 1980. |
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Páginas: |
11 p. |
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Idioma: |
Espanhol |
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Palavras-Chave: |
Virus do Nanismo Amarelo da Cevada. |
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Thesagro: |
Cevada; Doença. |
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Categoria do assunto: |
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Marc: |
LEADER 00534nam a2200157 a 4500
001 1844840
005 2015-05-11
008 1980 bl uuuu u0uu1 u #d
100 1 $aHERRERA, G.
245 $aAntecedentes sobre el virus del enanismo amarillo de la cebada (Barley yellow dwarf virus) y sus vectores en Chile.
260 $aI Reunión Virología de Cereales. Convenio BID-IICA Cono sur. Passo Fundo. Brasil$c1980
300 $a11 p.
650 $aCevada
650 $aDoença
653 $aVirus do Nanismo Amarelo da Cevada
700 1 $aQUIROZ, C.
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Embrapa Trigo (CNPT) |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
24/01/1997 |
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Data da última atualização: |
30/06/2014 |
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Autoria: |
GUTIERREZ-ALEMAN, N.; BOER, A. J. D.; KEHRBERG, E. W. |
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Afiliação: |
Nestor Gutierrez-Aleman, Winrock International / Consultor Embrapa Caprinos (CNPC) - Sobral, Ceara, Brazil; Winrock International, Morrilton, Arkansas, USA; Winrock International, Morrilton, Arkansas, USA. |
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Título: |
A bio-economic model of small-ruminant production in the semi-arid tropics of the northeast region of Brazil. Part 2. Linear programming applications and results. |
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Ano de publicação: |
1986 |
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Fonte/Imprenta: |
Agricultural Systems, v. 19, n. 3, p. 159-187, 1986. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Survey data covering production systems for mixed farms in the Northeast region of Brazil has been synthesized within a linear programming (LP) framework. The resulting model contains activities covering the production of cattle, sheep and goats, and a vector of alternative cropping activities. Farm resources include Iwo categories of grazing land, planted forages, family labour, two categories of hired labour, and working capital. The major livestock activities represented in the region were included as production options. Initial results did not discriminate between categories of available grazing resources. Therefore, cattle, by virtue of their higher dressing percentages and higher price per kilogram, were the optimal livestock species. A series of adjustments was then carried out to refiect types of feed resources and patterns of animal species selectivity. Optimal farm solutions for a representative traditional-production unit found objective function levels close to those found by farm surveys, but discrepancies between mod~l results and the actual farm situations for sheep and goal activities. Model results excluded small-ruminant breeding activities because of the low net offtake at weaning levels assumed in the model. Data that became available alter these initial model runs showed a higher net offtake level, and these revised coefficients resulted in optimal LP results very close to those actually found on farms. The model was then used to simulate the response of activities andfarm economic performance to 'good' and 'bad' years defined by +- half standard deviation from mean annual levels of precipitation. Model results indicated much higher variability of farm income in. response to weather than that found with changes in levels of technical efficiency of sheep and goat production. MenosAbstract: Survey data covering production systems for mixed farms in the Northeast region of Brazil has been synthesized within a linear programming (LP) framework. The resulting model contains activities covering the production of cattle, sheep and goats, and a vector of alternative cropping activities. Farm resources include Iwo categories of grazing land, planted forages, family labour, two categories of hired labour, and working capital. The major livestock activities represented in the region were included as production options. Initial results did not discriminate between categories of available grazing resources. Therefore, cattle, by virtue of their higher dressing percentages and higher price per kilogram, were the optimal livestock species. A series of adjustments was then carried out to refiect types of feed resources and patterns of animal species selectivity. Optimal farm solutions for a representative traditional-production unit found objective function levels close to those found by farm surveys, but discrepancies between mod~l results and the actual farm situations for sheep and goal activities. Model results excluded small-ruminant breeding activities because of the low net offtake at weaning levels assumed in the model. Data that became available alter these initial model runs showed a higher net offtake level, and these revised coefficients resulted in optimal LP results very close to those actually found on farms. The model was then used to simulate the r... Mostrar Tudo |
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Palavras-Chave: |
Aspecto sócio econômico; Brasil; Modelo animal; Nordeste; Northeast; Production system; Semiarid climate. |
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Thesagro: |
Caprino; Modelo de simulação; Ovino; Sistema de produção. |
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Thesaurus NAL: |
Brazil; Goats; Sheep; Simulation models; Small ruminants. |
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Categoria do assunto: |
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URL: |
https://www.sciencedirect.com/science/article/pii/0308521X8690051X/pdf?md5=f79f317e2be6789ea1f96ab7fd37d992&pid=1-s2.0-0308521X8690051X-main.pdf
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Marc: |
LEADER 02834naa a2200337 a 4500
001 1514143
005 2014-06-30
008 1986 bl uuuu u00u1 u #d
100 1 $aGUTIERREZ-ALEMAN, N.
245 $aA bio-economic model of small-ruminant production in the semi-arid tropics of the northeast region of Brazil. Part 2. Linear programming applications and results.$h[electronic resource]
260 $c1986
520 $aAbstract: Survey data covering production systems for mixed farms in the Northeast region of Brazil has been synthesized within a linear programming (LP) framework. The resulting model contains activities covering the production of cattle, sheep and goats, and a vector of alternative cropping activities. Farm resources include Iwo categories of grazing land, planted forages, family labour, two categories of hired labour, and working capital. The major livestock activities represented in the region were included as production options. Initial results did not discriminate between categories of available grazing resources. Therefore, cattle, by virtue of their higher dressing percentages and higher price per kilogram, were the optimal livestock species. A series of adjustments was then carried out to refiect types of feed resources and patterns of animal species selectivity. Optimal farm solutions for a representative traditional-production unit found objective function levels close to those found by farm surveys, but discrepancies between mod~l results and the actual farm situations for sheep and goal activities. Model results excluded small-ruminant breeding activities because of the low net offtake at weaning levels assumed in the model. Data that became available alter these initial model runs showed a higher net offtake level, and these revised coefficients resulted in optimal LP results very close to those actually found on farms. The model was then used to simulate the response of activities andfarm economic performance to 'good' and 'bad' years defined by +- half standard deviation from mean annual levels of precipitation. Model results indicated much higher variability of farm income in. response to weather than that found with changes in levels of technical efficiency of sheep and goat production.
650 $aBrazil
650 $aGoats
650 $aSheep
650 $aSimulation models
650 $aSmall ruminants
650 $aCaprino
650 $aModelo de simulação
650 $aOvino
650 $aSistema de produção
653 $aAspecto sócio econômico
653 $aBrasil
653 $aModelo animal
653 $aNordeste
653 $aNortheast
653 $aProduction system
653 $aSemiarid climate
700 1 $aBOER, A. J. D.
700 1 $aKEHRBERG, E. W.
773 $tAgricultural Systems$gv. 19, n. 3, p. 159-187, 1986.
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