Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship

Objective. To estimate genetic parameters for weight at eight months of age (W8M), age at first calving (AFC) and first calving interval (FCI) using pedigree and genomic relationship. Materials and methods. Phenotypic data on 481, 3063 and 1098 animals for W8M, AFC and FCI were used, respectively. T...

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Main Authors: Alejandro Amaya M, Rodrigo Martínez S, Mario Cerón-Muñoz
Format: Article
Language:English
Published: Universidad de Cordoba 2019-12-01
Series:Revista MVZ Cordoba
Subjects:
Online Access:https://revistamvz.unicordoba.edu.co/article/view/e1520/2378
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spelling doaj-beb204a08abb4b5ab69bc6df95b8d96f2020-11-25T03:16:25ZengUniversidad de CordobaRevista MVZ Cordoba0122-02681909-05442019-12-01251e1520https://doi.org/10.21897/rmvz.1520Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationshipAlejandro Amaya M0https://orcid.org/0000-0002-2783-6567Rodrigo Martínez S1https://orcid.org/0000-0002-9733-0780Mario Cerón-Muñoz2Universidad de Antioquia, Facultad de Ciencias Agrarias, Grupo GAMMA, Medellín, Colombia.Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, Centro de Investigación Tibaitatá. Km 14 Vía Mosquera. Bogotá D,C. Colombia.Universidad de Antioquia, Facultad de Ciencias Agrarias, Grupo GAMMA, Medellín, Colombia.Objective. To estimate genetic parameters for weight at eight months of age (W8M), age at first calving (AFC) and first calving interval (FCI) using pedigree and genomic relationship. Materials and methods. Phenotypic data on 481, 3063 and 1098 animals for W8M, AFC and FCI were used, respectively. The genomic information came from a population of 718 genotyped animals with a density chip of 30,106 single nucleotide polymorphism markers (SNP). Univariate and bivariate models were used under the conventional (BLUP) and single step genomic best linear unbiased predictor (ssGBLUP) methodologies. Results. The heritabilities for W8M, AFC and FCI ranged from 0.25 to 0.26, from 0.20 to 0.22 and from 0.04 to 0.08, respectively. The AFC and FCI models under ssGBLUP slightly decreased the error and increased the additive genetic variance, respectively. Conclusions. The inclusion of genomic information slightly increases the accuracy of the genetic estimates in this population. However, a larger amount of genotyped animals and with a higher genetic relationship connectivity would allow breeders to increase the potential of the ssGBLUP methodology in Colombian Simmental cattle.https://revistamvz.unicordoba.edu.co/article/view/e1520/2378best linear unbiased predictorgenetic parametersgenomic selectionvariance components
collection DOAJ
language English
format Article
sources DOAJ
author Alejandro Amaya M
Rodrigo Martínez S
Mario Cerón-Muñoz
spellingShingle Alejandro Amaya M
Rodrigo Martínez S
Mario Cerón-Muñoz
Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship
Revista MVZ Cordoba
best linear unbiased predictor
genetic parameters
genomic selection
variance components
author_facet Alejandro Amaya M
Rodrigo Martínez S
Mario Cerón-Muñoz
author_sort Alejandro Amaya M
title Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship
title_short Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship
title_full Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship
title_fullStr Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship
title_full_unstemmed Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship
title_sort genetic parameters for growth and reproduction in simmental cattle from pedigree and genomic relationship
publisher Universidad de Cordoba
series Revista MVZ Cordoba
issn 0122-0268
1909-0544
publishDate 2019-12-01
description Objective. To estimate genetic parameters for weight at eight months of age (W8M), age at first calving (AFC) and first calving interval (FCI) using pedigree and genomic relationship. Materials and methods. Phenotypic data on 481, 3063 and 1098 animals for W8M, AFC and FCI were used, respectively. The genomic information came from a population of 718 genotyped animals with a density chip of 30,106 single nucleotide polymorphism markers (SNP). Univariate and bivariate models were used under the conventional (BLUP) and single step genomic best linear unbiased predictor (ssGBLUP) methodologies. Results. The heritabilities for W8M, AFC and FCI ranged from 0.25 to 0.26, from 0.20 to 0.22 and from 0.04 to 0.08, respectively. The AFC and FCI models under ssGBLUP slightly decreased the error and increased the additive genetic variance, respectively. Conclusions. The inclusion of genomic information slightly increases the accuracy of the genetic estimates in this population. However, a larger amount of genotyped animals and with a higher genetic relationship connectivity would allow breeders to increase the potential of the ssGBLUP methodology in Colombian Simmental cattle.
topic best linear unbiased predictor
genetic parameters
genomic selection
variance components
url https://revistamvz.unicordoba.edu.co/article/view/e1520/2378
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