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Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations

SIMPLE SUMMARY: This study aimed to evaluate the consistency of different methodologies and sources of information used to estimate inbreeding coefficients in small populations by analyzing the correlation between them in the Holstein population of Mexico and to choose the best option in order to ai...

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Autores principales: Cortes-Hernández, José, García-Ruiz, Adriana, Vásquez-Peláez, Carlos Gustavo, Ruiz-Lopez, Felipe de Jesus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614534/
https://www.ncbi.nlm.nih.gov/pubmed/34827966
http://dx.doi.org/10.3390/ani11113234
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author Cortes-Hernández, José
García-Ruiz, Adriana
Vásquez-Peláez, Carlos Gustavo
Ruiz-Lopez, Felipe de Jesus
author_facet Cortes-Hernández, José
García-Ruiz, Adriana
Vásquez-Peláez, Carlos Gustavo
Ruiz-Lopez, Felipe de Jesus
author_sort Cortes-Hernández, José
collection PubMed
description SIMPLE SUMMARY: This study aimed to evaluate the consistency of different methodologies and sources of information used to estimate inbreeding coefficients in small populations by analyzing the correlation between them in the Holstein population of Mexico and to choose the best option in order to aid breeding programs to improve the productive traits of Holstein cattle in small-specialized populations. ABSTRACT: This study aimed to identify inbreeding coefficient (F) estimators useful for improvement programs in a small Holstein population through the evaluation of different methodologies in the Mexican Holstein population. F was estimated as follows: (a) from pedigree information (Fped); (b) through runs of homozygosity (Froh); (c) from the number of observed and expected homozygotic SNP in the individuals (Fgeno); (d) through the genomic relationship matrix (Fmg). The study included information from 4277 animals with pedigree records and 100,806 SNP. The average and standard deviation values of F were 3.11 ± 2.30 for Fped, −0.02 ± 3.55 for Fgeno, 2.77 ± 0.71 for Froh and 3.03 ± 3.05 for Fmg. The correlations between coefficients varied from 0.30 between Fped and Froh, to 0.96 between Fgeno and Fmg. Differences in the level of inbreeding among the parent’s country of origin were found regardless of the method used. The correlations among genomic inbreeding coefficients were high; however, they were low with Fped, so further research on this topic is required.
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spelling pubmed-86145342021-11-26 Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations Cortes-Hernández, José García-Ruiz, Adriana Vásquez-Peláez, Carlos Gustavo Ruiz-Lopez, Felipe de Jesus Animals (Basel) Article SIMPLE SUMMARY: This study aimed to evaluate the consistency of different methodologies and sources of information used to estimate inbreeding coefficients in small populations by analyzing the correlation between them in the Holstein population of Mexico and to choose the best option in order to aid breeding programs to improve the productive traits of Holstein cattle in small-specialized populations. ABSTRACT: This study aimed to identify inbreeding coefficient (F) estimators useful for improvement programs in a small Holstein population through the evaluation of different methodologies in the Mexican Holstein population. F was estimated as follows: (a) from pedigree information (Fped); (b) through runs of homozygosity (Froh); (c) from the number of observed and expected homozygotic SNP in the individuals (Fgeno); (d) through the genomic relationship matrix (Fmg). The study included information from 4277 animals with pedigree records and 100,806 SNP. The average and standard deviation values of F were 3.11 ± 2.30 for Fped, −0.02 ± 3.55 for Fgeno, 2.77 ± 0.71 for Froh and 3.03 ± 3.05 for Fmg. The correlations between coefficients varied from 0.30 between Fped and Froh, to 0.96 between Fgeno and Fmg. Differences in the level of inbreeding among the parent’s country of origin were found regardless of the method used. The correlations among genomic inbreeding coefficients were high; however, they were low with Fped, so further research on this topic is required. MDPI 2021-11-12 /pmc/articles/PMC8614534/ /pubmed/34827966 http://dx.doi.org/10.3390/ani11113234 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cortes-Hernández, José
García-Ruiz, Adriana
Vásquez-Peláez, Carlos Gustavo
Ruiz-Lopez, Felipe de Jesus
Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations
title Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations
title_full Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations
title_fullStr Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations
title_full_unstemmed Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations
title_short Correlation of Genomic and Pedigree Inbreeding Coefficients in Small Cattle Populations
title_sort correlation of genomic and pedigree inbreeding coefficients in small cattle populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614534/
https://www.ncbi.nlm.nih.gov/pubmed/34827966
http://dx.doi.org/10.3390/ani11113234
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