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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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 |
work_keys_str_mv |
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