Genomic selection in Gir cattle using female reference population

When a sizeable reference population of proven bulls is not available for implementing Genomic selection for a particular trait, and when a recording of certain traits on large scale is difficult, the use of a female reference population is recommended. Gir, one of the important milk purpose cattle...

Full description

Bibliographic Details
Main Authors: NILESH NAYEE, SWAPNIL GAJJAR, A SUDHAKAR, SUJIT SAHA, KAMLESH TRIVEDI, PRAVIN VATALIYA
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2021-07-01
Series:Indian Journal of Animal Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAnS/article/view/113193
_version_ 1828005934616543232
author NILESH NAYEE
SWAPNIL GAJJAR
A SUDHAKAR
SUJIT SAHA
KAMLESH TRIVEDI
PRAVIN VATALIYA
author_facet NILESH NAYEE
SWAPNIL GAJJAR
A SUDHAKAR
SUJIT SAHA
KAMLESH TRIVEDI
PRAVIN VATALIYA
author_sort NILESH NAYEE
collection DOAJ
description When a sizeable reference population of proven bulls is not available for implementing Genomic selection for a particular trait, and when a recording of certain traits on large scale is difficult, the use of a female reference population is recommended. Gir, one of the important milk purpose cattle breeds of India falls under this category. There is no large scale Progeny Testing (PT) programme in Gir, so proven bulls based on daughter performance in large numbers are not available. Considering the constraints, a genomic BLUP (GBLUP) model was implemented based on recorded cow reference population in Gir breed. Cows (3491) and 23 bulls were genotyped using INDUSCHIP for this purpose. Due to non-availability of pedigreed data, conventional breeding values (BV) of bulls and their reliabilities were not known. For comparison, assumed theoretical reliability of BV of a bull selected based on its dam's yield was compared with reliability obtained for genomic breeding value (GBV) using a GBLUP model. The reliability estimates for GBVs were 4 times higher than that for BVs. The predictive ability of the model was demonstrated by measuring the correlation between corrected phenotypes and GBVs for animals whose records were masked in a five-fold cross-validation study. The correlation was around 0.45 showing reasonable predictability of the GBLUP model. The GBVs were not biased. The regression coefficient between the corrected phenotype and GBV was 1.045. The present study demonstrates that it is feasible to implement genomic selection in Gir cattle in Indian conditions using a female reference population. It is expected that the bulls can be selected with around 4 fold more accuracy than the current method of selecting based on their dams' yield accelerating expected genetic growth in Gir cattle.
first_indexed 2024-04-10T07:50:38Z
format Article
id doaj.art-22296e401b404f60877ca58317ccd20a
institution Directory Open Access Journal
issn 0367-8318
2394-3327
language English
last_indexed 2024-04-10T07:50:38Z
publishDate 2021-07-01
publisher Indian Council of Agricultural Research
record_format Article
series Indian Journal of Animal Sciences
spelling doaj.art-22296e401b404f60877ca58317ccd20a2023-02-23T10:16:35ZengIndian Council of Agricultural ResearchIndian Journal of Animal Sciences0367-83182394-33272021-07-01901210.56093/ijans.v90i12.113193Genomic selection in Gir cattle using female reference populationNILESH NAYEE0SWAPNIL GAJJAR1A SUDHAKAR2SUJIT SAHA3KAMLESH TRIVEDI4PRAVIN VATALIYA5National Dairy Development Board, Anand, Gujarat 388 001 IndiaKamdhenu University, Gandhinagar, Gujarat, IndiaNational Dairy Development Board, Anand, Gujarat 388 001 IndiaNational Dairy Development Board, Anand, Gujarat 388 001 IndiaNational Dairy Development Board, Anand, Gujarat 388 001 IndiaNational Dairy Development Board, Anand, Gujarat 388 001 India When a sizeable reference population of proven bulls is not available for implementing Genomic selection for a particular trait, and when a recording of certain traits on large scale is difficult, the use of a female reference population is recommended. Gir, one of the important milk purpose cattle breeds of India falls under this category. There is no large scale Progeny Testing (PT) programme in Gir, so proven bulls based on daughter performance in large numbers are not available. Considering the constraints, a genomic BLUP (GBLUP) model was implemented based on recorded cow reference population in Gir breed. Cows (3491) and 23 bulls were genotyped using INDUSCHIP for this purpose. Due to non-availability of pedigreed data, conventional breeding values (BV) of bulls and their reliabilities were not known. For comparison, assumed theoretical reliability of BV of a bull selected based on its dam's yield was compared with reliability obtained for genomic breeding value (GBV) using a GBLUP model. The reliability estimates for GBVs were 4 times higher than that for BVs. The predictive ability of the model was demonstrated by measuring the correlation between corrected phenotypes and GBVs for animals whose records were masked in a five-fold cross-validation study. The correlation was around 0.45 showing reasonable predictability of the GBLUP model. The GBVs were not biased. The regression coefficient between the corrected phenotype and GBV was 1.045. The present study demonstrates that it is feasible to implement genomic selection in Gir cattle in Indian conditions using a female reference population. It is expected that the bulls can be selected with around 4 fold more accuracy than the current method of selecting based on their dams' yield accelerating expected genetic growth in Gir cattle. https://epubs.icar.org.in/index.php/IJAnS/article/view/113193Female reference populationGenomic selectionGir
spellingShingle NILESH NAYEE
SWAPNIL GAJJAR
A SUDHAKAR
SUJIT SAHA
KAMLESH TRIVEDI
PRAVIN VATALIYA
Genomic selection in Gir cattle using female reference population
Indian Journal of Animal Sciences
Female reference population
Genomic selection
Gir
title Genomic selection in Gir cattle using female reference population
title_full Genomic selection in Gir cattle using female reference population
title_fullStr Genomic selection in Gir cattle using female reference population
title_full_unstemmed Genomic selection in Gir cattle using female reference population
title_short Genomic selection in Gir cattle using female reference population
title_sort genomic selection in gir cattle using female reference population
topic Female reference population
Genomic selection
Gir
url https://epubs.icar.org.in/index.php/IJAnS/article/view/113193
work_keys_str_mv AT nileshnayee genomicselectioningircattleusingfemalereferencepopulation
AT swapnilgajjar genomicselectioningircattleusingfemalereferencepopulation
AT asudhakar genomicselectioningircattleusingfemalereferencepopulation
AT sujitsaha genomicselectioningircattleusingfemalereferencepopulation
AT kamleshtrivedi genomicselectioningircattleusingfemalereferencepopulation
AT pravinvataliya genomicselectioningircattleusingfemalereferencepopulation