Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tde/1117 |
Resumo: | The objectives and selection criteria used for dairy goats in Brazil are determined empirically. Brazil has climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, producing distinctions among the political administrative regions of the country. The aim of this study was to obtain spatial distribution of physical, climatic and socioeconomic aspects that best discriminate the Brazilian dairy goats production, identifying the characteristics of higher socio-economic relevance for intensive or semi-intensive rearing of dairy goats, derive economic weights for selection objectives and propose selection indices whose criteria are easy to be collected by breeders of dairy goats in Brazil. The spatial analysis was performed using local climatic variables, physical and socioeconomic. The selection objectives were defined by their relative economic importance to farming systems. The economic value of each characteristic was calculated as the difference between the average profit before and after the upgrade, after increasing by 1% each feature, keeping the average remaining unchanged. It was proposed eight selection indices. The traits included in each indice were: I and V indices, milk production (MP) and lactation length (LL); II and VI indices, MP, LL, and age at first calving (AFC); III and VII indices, MP , LL, AFC and calving interval (CI) and IV and VIII indices, MP, LL, AFC, CI, somatic cell count (SCC) and total solids (TS). To test the selection indices were simulated dairy goats herds using selection intensities of 10%, 25% and 50%. For each herd, were simulated MP, LL, AFC, CI, SCC and TS. To compare the means was used the Tukey test (p<0.01). Multivariate analysis revealed distinctions between the Brazilian Regions. Climatic factors were most important for discrimination between the regions of Brazil. Thus, animal breeding programs should be implemented according to the specificities of each region. The average profit of the semi-intensive system was higher than the intensive system, R $ 0.18 and $ 0.14, respectively. Productive and reproductive traits were improved by selecting animals for PL, DL, IPP and IDP simultaneously. Having differentiated payment for milk of better quality, for the levels of EST and SCC, we suggest the use of indices with these selection criteria. The choice and use of these indices depend on the definition of the objectives of selection and ease of measurement of selection criteria to be used. |
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PIMENTEL, Concepta Margaret Mcmanushttp://lattes.cnpq.br/6052239712915301FIORAVANTI, Maria Clorinda Soareshttp://lattes.cnpq.br/8772502020076257http://lattes.cnpq.br/1399785191420919LOPES, Fernando Brito2014-07-29T15:13:42Z2011-11-012011-08-05LOPES, Fernando Brito. Objectives And Selection Criteria For Two Dairy Goat Systems In Brazil. 2011. 130 f. Tese (Doutorado em Ciências Agrárias) - Universidade Federal de Goiás, Goiânia, 2011.http://repositorio.bc.ufg.br/tede/handle/tde/1117The objectives and selection criteria used for dairy goats in Brazil are determined empirically. Brazil has climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, producing distinctions among the political administrative regions of the country. The aim of this study was to obtain spatial distribution of physical, climatic and socioeconomic aspects that best discriminate the Brazilian dairy goats production, identifying the characteristics of higher socio-economic relevance for intensive or semi-intensive rearing of dairy goats, derive economic weights for selection objectives and propose selection indices whose criteria are easy to be collected by breeders of dairy goats in Brazil. The spatial analysis was performed using local climatic variables, physical and socioeconomic. The selection objectives were defined by their relative economic importance to farming systems. The economic value of each characteristic was calculated as the difference between the average profit before and after the upgrade, after increasing by 1% each feature, keeping the average remaining unchanged. It was proposed eight selection indices. The traits included in each indice were: I and V indices, milk production (MP) and lactation length (LL); II and VI indices, MP, LL, and age at first calving (AFC); III and VII indices, MP , LL, AFC and calving interval (CI) and IV and VIII indices, MP, LL, AFC, CI, somatic cell count (SCC) and total solids (TS). To test the selection indices were simulated dairy goats herds using selection intensities of 10%, 25% and 50%. For each herd, were simulated MP, LL, AFC, CI, SCC and TS. To compare the means was used the Tukey test (p<0.01). Multivariate analysis revealed distinctions between the Brazilian Regions. Climatic factors were most important for discrimination between the regions of Brazil. Thus, animal breeding programs should be implemented according to the specificities of each region. The average profit of the semi-intensive system was higher than the intensive system, R $ 0.18 and $ 0.14, respectively. Productive and reproductive traits were improved by selecting animals for PL, DL, IPP and IDP simultaneously. Having differentiated payment for milk of better quality, for the levels of EST and SCC, we suggest the use of indices with these selection criteria. The choice and use of these indices depend on the definition of the objectives of selection and ease of measurement of selection criteria to be used.Os objetivos e critérios de seleção utilizados para caprinos leiteiros no Brasil são determinados empiricamente. Há diversidade edafoclimática e realidades socioeconômicas e políticas distintas no Brasil. Isto contribui para diferenciar as regiões político administrativas do país. Assim, Objetivou-se espacializar os fatores físicos, climáticos e socioeconômicos que melhor discriminam a produção de caprinos leiteiros no Brasil; identificar as características de maior relevância sócio-econômica para sistemas intensivo e semi-intensivo de criação de caprinos leiteiros, derivar ponderadores econômicos para os objetivos de seleção e propor índices de seleção cujos critérios sejam fáceis de serem coletados por criadores de caprinos leiteiros no Brasil. As análises de espacialização municipal foram realizadas utilizando variáveis climáticas, físicas e socioeconômicas. Os objetivos de seleção foram definidos por meio de sua importância econômica relativa aos sistemas de criação. O valor econômico de cada característica foi calculado pela diferença entre o lucro médio antes e depois do melhoramento, após aumentar cada característica em 1%, mantendo a média das demais inalterada. Foram propostos oito índices de seleção. As características incluídas em cada índice foram: índices I e V, produção de leite (PL) e duração da lactação (DL); índices II e VI, PL, DL e idade ao primeito parto (IPP); índices III e VII, PL, DL, IPP e intervalo de partos (IDP); e, índices IV e VIII, PL, DL, IPP, IDP, contagem de células somáticas (CCS) e extrato seco total (EST). Para testar os índices de seleção propostos, foram simulados rebanhos de caprinos leiteiros, utilizando intensidades de seleção de 10%, 25% e 50%. Em cada rebanho, foram simuladas PL, DL, IPP, IDP, CCS e EST. Para comparação das médias utilizou-se o teste de Tukey (p<0,01). As análises multivariadas evidenciaram distinções entre as regiões político administrativas do Brasil. Os fatores climáticos foram os mais importantes na discriminação entre as regiões brasileiras. Assim, programas de melhoramento genético animal devem ser implementados de acordo com as especificidades de cada região. O lucro médio do sistema semi-intensivo foi maior que o sistema intensivo, R$ 0,18 e R$ 0,14, respectivamente. Características produtivas e reprodutivas foram melhoradas ao selecionar os animais para PL, DL, IPP e IDP, simultaneamente. Havendo pagamento diferenciado por leite de melhor qualidade, em relação aos teores de EST e CCS sugere-se a utilização dos índices com estes critérios de seleção. A escolha e utilização destes índices dependerão da definição dos objetivos de seleção e da facilidade de mensuração dos critérios de seleção a serem utilizados.Made available in DSpace on 2014-07-29T15:13:42Z (GMT). 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dc.title.por.fl_str_mv |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil |
dc.title.alternative.eng.fl_str_mv |
Objectives And Selection Criteria For Two Dairy Goat Systems In Brazil |
title |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil |
spellingShingle |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil LOPES, Fernando Brito Índice de seleção lucro objetivo de seleção peso econômico Breeding objective econômic weight profit selection indice CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA::PRODUCAO ANIMAL |
title_short |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil |
title_full |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil |
title_fullStr |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil |
title_full_unstemmed |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil |
title_sort |
Objetivos E Critérios De Seleção Para Dois Sistemas De Criação De Caprinos Leiteiros No Brasil |
author |
LOPES, Fernando Brito |
author_facet |
LOPES, Fernando Brito |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
PIMENTEL, Concepta Margaret Mcmanus |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/6052239712915301 |
dc.contributor.advisor-co1.fl_str_mv |
FIORAVANTI, Maria Clorinda Soares |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/8772502020076257 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/1399785191420919 |
dc.contributor.author.fl_str_mv |
LOPES, Fernando Brito |
contributor_str_mv |
PIMENTEL, Concepta Margaret Mcmanus FIORAVANTI, Maria Clorinda Soares |
dc.subject.por.fl_str_mv |
Índice de seleção lucro objetivo de seleção peso econômico |
topic |
Índice de seleção lucro objetivo de seleção peso econômico Breeding objective econômic weight profit selection indice CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA::PRODUCAO ANIMAL |
dc.subject.eng.fl_str_mv |
Breeding objective econômic weight profit selection indice |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA::PRODUCAO ANIMAL |
description |
The objectives and selection criteria used for dairy goats in Brazil are determined empirically. Brazil has climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, producing distinctions among the political administrative regions of the country. The aim of this study was to obtain spatial distribution of physical, climatic and socioeconomic aspects that best discriminate the Brazilian dairy goats production, identifying the characteristics of higher socio-economic relevance for intensive or semi-intensive rearing of dairy goats, derive economic weights for selection objectives and propose selection indices whose criteria are easy to be collected by breeders of dairy goats in Brazil. The spatial analysis was performed using local climatic variables, physical and socioeconomic. The selection objectives were defined by their relative economic importance to farming systems. The economic value of each characteristic was calculated as the difference between the average profit before and after the upgrade, after increasing by 1% each feature, keeping the average remaining unchanged. It was proposed eight selection indices. The traits included in each indice were: I and V indices, milk production (MP) and lactation length (LL); II and VI indices, MP, LL, and age at first calving (AFC); III and VII indices, MP , LL, AFC and calving interval (CI) and IV and VIII indices, MP, LL, AFC, CI, somatic cell count (SCC) and total solids (TS). To test the selection indices were simulated dairy goats herds using selection intensities of 10%, 25% and 50%. For each herd, were simulated MP, LL, AFC, CI, SCC and TS. To compare the means was used the Tukey test (p<0.01). Multivariate analysis revealed distinctions between the Brazilian Regions. Climatic factors were most important for discrimination between the regions of Brazil. Thus, animal breeding programs should be implemented according to the specificities of each region. The average profit of the semi-intensive system was higher than the intensive system, R $ 0.18 and $ 0.14, respectively. Productive and reproductive traits were improved by selecting animals for PL, DL, IPP and IDP simultaneously. Having differentiated payment for milk of better quality, for the levels of EST and SCC, we suggest the use of indices with these selection criteria. The choice and use of these indices depend on the definition of the objectives of selection and ease of measurement of selection criteria to be used. |
publishDate |
2011 |
dc.date.available.fl_str_mv |
2011-11-01 |
dc.date.issued.fl_str_mv |
2011-08-05 |
dc.date.accessioned.fl_str_mv |
2014-07-29T15:13:42Z |
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info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
LOPES, Fernando Brito. Objectives And Selection Criteria For Two Dairy Goat Systems In Brazil. 2011. 130 f. Tese (Doutorado em Ciências Agrárias) - Universidade Federal de Goiás, Goiânia, 2011. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tde/1117 |
identifier_str_mv |
LOPES, Fernando Brito. Objectives And Selection Criteria For Two Dairy Goat Systems In Brazil. 2011. 130 f. Tese (Doutorado em Ciências Agrárias) - Universidade Federal de Goiás, Goiânia, 2011. |
url |
http://repositorio.bc.ufg.br/tede/handle/tde/1117 |
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por |
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Universidade Federal de Goiás |
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Doutorado em Ciência Animal |
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UFG |
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BR |
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Ciências Agrárias |
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Universidade Federal de Goiás |
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