Data/hora: 25/06/2024 00:21:29

Biblioteca(s): 	Embrapa Gado de Leite; Embrapa Pecuária Sudeste.	
Data corrente: 	27/09/2010	
Data da última atualização: 	05/06/2024	
Autoria: 	SALEM, M. M. I.; MOURÃO, G. B.; PACKER, I. U.; PINTO, L. F. B.; MACHADO, M. A.; GASPARIN, G.; AZEVEDO, A. L. S.; VERNEQUE, R. da S.; REGITANO, L. C. de A.	
Afiliação: 	ESALQ-USP/PIRACICABA; ESALQ-USP/PIRACICABA; ESALQ-USP/PIRACICABA; UNIVERSIDADE FEDERAL DA BAHIA; MARCO ANTONIO MACHADO, CNPGL; ESALQ-USP/PIRACICABA; ANA LUISA SOUSA AZEVEDO, CNPGL; RUI DA SILVA VERNEQUE, CNPGL.	
Título: 	Identification of quantitative trait loci for growth curve in crossbred dairy cattle population.	
Ano de publicação: 	2010	
Fonte/Imprenta: 	In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 9., 2010, Leipzig. Proceedings... Leipzig: German Society fo Animal Science, 2010.	
Descrição Física: 	1 CD-ROM.	
Idioma: 	Inglês
Português	
Conteúdo: 	Detection of quantitative trait loci for growth traits have been described in previous study (e.g. Kim et al. 2003, Kneeland et al. 2004). These QTLs were estimated at certain time or stage of animal growth by single-trait QTL mapping, where the growth traits treated as different traits and analyzed separately. This approach does not take into account the correlated structure of phenotypes measured at different time points and the statistical powers of hypothesis tests tend to be lower and the sampling variances of parameter estimation tend to be higher for separate analyses (Jiang and Zengt 1995). The other approach which can used is multi-trait mapping which can take into account the correlation between measurements, but their applications are suitable for few traits. As the number of traits increases, computational time will be a prohibitive factor (Yang et al. 2006). Wu et al. (2002) showed that fit the growth curve for every individual and mapping the QTLs for the growth parameters can reduce the amount of phenotypic data for QTL analysis, efficiently analyze unbalanced phenotype data, and help us to better understand the genetic basis of quantitative trait development. The objective of the present study was to identify quantitative trait loci (QTL) for growth curve on BTA 2 using F2 Holstein x Gyr population and microsatellite markers.	
Thesagro: 	Cruzamento; Curva de Crescimento; Gado Leiteiro.	
Thesaurus Nal: 	dairy cattle.	
Categoria do assunto: 	--
G Melhoramento Genético	
Registro original: 	Embrapa Gado de Leite (CNPGL)	
Exemplares: 	CPPSE - (19480-1) - UPC - AA - PP - PROCI-2010.00056 - SAL - 2010.00056 - DIS
CNPGL - (17708-1) - UPC - AA - DD -  -  -  - DIS