Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/51651
Title: Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India
Contributor(s): Al Kalaldeh, Mohammad  (author)orcid ; Swaminathan, Marimuthu (author); Gaundare, Yuvraj (author); Joshi, Sachin (author); Aliloo, Hassan  (author)orcid ; Strucken, Eva M  (author)orcid ; Ducrocq, Vincent (author); Gibson, John P  (author)orcid 
Publication Date: 2021-09-10
Open Access: Yes
DOI: 10.1186/s12711-021-00667-6
Handle Link: https://hdl.handle.net/1959.11/51651
Abstract: 

Background: India is the largest milk producer globally, with the largest proportion of cattle milk production coming from smallholder farms with an average herd size of less than two milking cows. These cows are mainly undefined multi-generation crosses between exotic dairy breeds and indigenous Indian cattle, with no performance or pedigree recording. Therefore, implementing genetic improvement based on genetic evaluation has not yet been possible. We present the first results from a large smallholder performance recording program in India, using single nucleotide polymorphism (SNP) genotypes to estimate genetic parameters for monthly test-day (TD) milk records and to obtain and validate genomic estimated breeding values (GEBV).

Results: The average TD milk yield under the high, medium, and low production environments were 9.64, 6.88, and 4.61 kg, respectively. In the high production environment, the usual profile of a lactation curve was evident, whereas it was less evident in low and medium production environments. There was a clear trend of an increasing milk yield with an increasing Holstein Friesian (HF) proportion in the high production environment, but no increase above intermediate grades in the medium and low production environments. Trends for Jersey were small but yield estimates had a higher standard error than HF. Heritability estimates for TD yield across the lactation ranged from 0.193 to 0.250, with an average of 0.230. The additive genetic correlations between TD yield at different times in lactation were high, ranging from 0.846 to 0.998. The accuracy of phenotypic validation of GEBV from the method that is believed to be the least biased was 0.420, which was very similar to the accuracy obtained from the average prediction error variance of the GEBV.

Conclusions: The results indicate strong potential for genomic selection to improve milk production of smallholder crossbred cows in India. The performance of cows with different breed compositions can be determined in different Indian environments, which makes it possible to provide better advice to smallholder farmers on optimum breed composition for their environment.

Publication Type: Journal Article
Source of Publication: Genetics Selection Evolution, v.53, p. 1-14
Publisher: BioMed Central Ltd
Place of Publication: United Kingdom
ISSN: 1297-9686
0999-193X
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2020: 100402 Dairy cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
openpublished/GenomicAlKalaldehAlilooStruckenGibson2021JournalArticle.pdfPublished version2.07 MBAdobe PDF
Download Adobe
View/Open
Show full item record

SCOPUSTM   
Citations

12
checked on Apr 6, 2024

Page view(s)

878
checked on Jun 18, 2023

Download(s)

10
checked on Jun 18, 2023
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons