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Registro Completo |
Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
Data corrente: |
02/02/2016 |
Data da última atualização: |
27/05/2019 |
Autoria: |
COSTA JUNIOR, L. M.; AMARANTE, A. F. T. (org.). |
Afiliação: |
Livio M. Costa Junior; Alessandro F. T. Amarante. |
Título: |
Controle de helmintos de ruminantes no Brasil. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Jundiaí: Paco Editorial, 2015. |
Páginas: |
316 p. |
ISBN: |
9788581489155 |
Idioma: |
Português |
Conteúdo: |
O Brasil é um dos maiores produtores de ruminantes do mundo, e as doenças parasitárias são um dos principais entraves para o aumento de produtividade, sendo os helmintos o grupo de maior importância. Nesse contexto, o controle de helmintos de ruminantes é essencial para a melhoria sanitária do rebanho e em consequência aumento da produtividade. |
Palavras-Chave: |
Gastrointestinal diseases; Helminthoses; Resistance to anthelmintics; Resistência parasitária; Tratamento seletivo. |
Thesagro: |
Caprino; Helminto gastrintestinal; Ovino; Parasito; Ruminante; Verminose. |
Thesaurus Nal: |
Goats; Helminths; Nematoda; Parasitoses; Ruminants; Sheep. |
Categoria do assunto: |
H Saúde e Patologia |
Marc: |
LEADER 01233nam a2200349 a 4500 001 2035944 005 2019-05-27 008 2015 bl uuuu 00u1 u #d 020 $a9788581489155 100 1 $aCOSTA JUNIOR, L. M. 245 $aControle de helmintos de ruminantes no Brasil. 260 $aJundiaí: Paco Editorial$c2015 300 $a316 p. 520 $aO Brasil é um dos maiores produtores de ruminantes do mundo, e as doenças parasitárias são um dos principais entraves para o aumento de produtividade, sendo os helmintos o grupo de maior importância. Nesse contexto, o controle de helmintos de ruminantes é essencial para a melhoria sanitária do rebanho e em consequência aumento da produtividade. 650 $aGoats 650 $aHelminths 650 $aNematoda 650 $aParasitoses 650 $aRuminants 650 $aSheep 650 $aCaprino 650 $aHelminto gastrintestinal 650 $aOvino 650 $aParasito 650 $aRuminante 650 $aVerminose 653 $aGastrointestinal diseases 653 $aHelminthoses 653 $aResistance to anthelmintics 653 $aResistência parasitária 653 $aTratamento seletivo 700 1 $aAMARANTE, A. F. T.
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Embrapa Caprinos e Ovinos (CNPC) |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
08/01/2016 |
Data da última atualização: |
03/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
CAMPOS, R. V.; COBUCI, J. A.; KERN, E. L.; COSTA, C. N.; McMANUS, C. M. |
Afiliação: |
Rafael Viegas Campos; Jaime Araujo Cobuci; Elisandra Lurdes Kern; CLAUDIO NAPOLIS COSTA, CNPGL; Concepta Margaret McManus. |
Título: |
Genetic parameters for linear type traits and milk, fat, and protein production in holstein cows in Brazil. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Asian-Australasian Journal of Animal Sciences, v. 28, n. 4, p. 476-484, 2015. |
Idioma: |
Português |
Conteúdo: |
The objective of this study was to estimate genetic and phenotypic parameters for linear type traits, as well as milk yield (MY), fat yield (FY) and protein yield (PY) in 18,831 Holstein cows reared in 495 herds in Brazil. Restricted maximum likelihood with a bivariate model was used for estimation genetic parameters, including fixed effects of herd-year of classification, period of classification, classifier and stage of lactation for linear type traits and herd-year of calving, season of calving and lactation order effects for production traits. The age of cow at calving was fitted as a covariate (with linear and quadratic terms), common to both models. Heritability estimates varied from 0.09 to 0.38 for linear type traits and from 0.17 to 0.24 for production traits, indicating sufficient genetic variability to achieve genetic gain through selection. In general, estimates of genetic correlations between type and production traits were low, except for udder texture and angularity that showed positive genetic correlations (>0.29) with MY, FY, and PY. Udder depth had the highest negative genetic correlation (-0.30) with production traits. Selection for final score, commonly used by farmers as a practical selection tool to improve type traits, does not lead to significant improvements in production traits, thus the use of selection indices that consider both sets of traits (production and type) seems to be the most adequate to carry out genetic selection of animals in the Brazilian herd. MenosThe objective of this study was to estimate genetic and phenotypic parameters for linear type traits, as well as milk yield (MY), fat yield (FY) and protein yield (PY) in 18,831 Holstein cows reared in 495 herds in Brazil. Restricted maximum likelihood with a bivariate model was used for estimation genetic parameters, including fixed effects of herd-year of classification, period of classification, classifier and stage of lactation for linear type traits and herd-year of calving, season of calving and lactation order effects for production traits. The age of cow at calving was fitted as a covariate (with linear and quadratic terms), common to both models. Heritability estimates varied from 0.09 to 0.38 for linear type traits and from 0.17 to 0.24 for production traits, indicating sufficient genetic variability to achieve genetic gain through selection. In general, estimates of genetic correlations between type and production traits were low, except for udder texture and angularity that showed positive genetic correlations (>0.29) with MY, FY, and PY. Udder depth had the highest negative genetic correlation (-0.30) with production traits. Selection for final score, commonly used by farmers as a practical selection tool to improve type traits, does not lead to significant improvements in production traits, thus the use of selection indices that consider both sets of traits (production and type) seems to be the most adequate to carry out genetic selection of animals in the Braz... Mostrar Tudo |
Palavras-Chave: |
Functional Trait; Selection. |
Thesaurus NAL: |
dairy cattle; genetic correlation; heritability. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/136843/1/Cnpgl-2015-AJAS-Genetic.pdf
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Marc: |
LEADER 02214naa a2200229 a 4500 001 2033399 005 2024-02-03 008 2015 bl uuuu u00u1 u #d 100 1 $aCAMPOS, R. V. 245 $aGenetic parameters for linear type traits and milk, fat, and protein production in holstein cows in Brazil.$h[electronic resource] 260 $c2015 520 $aThe objective of this study was to estimate genetic and phenotypic parameters for linear type traits, as well as milk yield (MY), fat yield (FY) and protein yield (PY) in 18,831 Holstein cows reared in 495 herds in Brazil. Restricted maximum likelihood with a bivariate model was used for estimation genetic parameters, including fixed effects of herd-year of classification, period of classification, classifier and stage of lactation for linear type traits and herd-year of calving, season of calving and lactation order effects for production traits. The age of cow at calving was fitted as a covariate (with linear and quadratic terms), common to both models. Heritability estimates varied from 0.09 to 0.38 for linear type traits and from 0.17 to 0.24 for production traits, indicating sufficient genetic variability to achieve genetic gain through selection. In general, estimates of genetic correlations between type and production traits were low, except for udder texture and angularity that showed positive genetic correlations (>0.29) with MY, FY, and PY. Udder depth had the highest negative genetic correlation (-0.30) with production traits. Selection for final score, commonly used by farmers as a practical selection tool to improve type traits, does not lead to significant improvements in production traits, thus the use of selection indices that consider both sets of traits (production and type) seems to be the most adequate to carry out genetic selection of animals in the Brazilian herd. 650 $adairy cattle 650 $agenetic correlation 650 $aheritability 653 $aFunctional Trait 653 $aSelection 700 1 $aCOBUCI, J. A. 700 1 $aKERN, E. L. 700 1 $aCOSTA, C. N. 700 1 $aMcMANUS, C. M. 773 $tAsian-Australasian Journal of Animal Sciences$gv. 28, n. 4, p. 476-484, 2015.
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