Evidence map›Paper›PMID 34507523›Full record

ArticleGenetics, selection, evolution : GSE2021

Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India.

Mohammad Al Kalaldeh, Marimuthu Swaminathan, Yuvraj Gaundare, Sachin Joshi, Hassan Aliloo, Eva M Strucken, Vincent Ducrocq, John P Gibson

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Heterogeneity of Variances in Milk Yield in Murrah Buffaloes.Animals : an open access journal from MDPI · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Mohammad Al KalaldehCentre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New England, Armidale, NSW, 2350, Australia. malkala2@une.edu.au.ORCID http://orcid.org/0000-0002-3206-6421
Marimuthu SwaminathanBAIF Development Research Foundation and Central Research Station, Uruli Kanchan, Pune, Maharashtra, 412202, India.
Yuvraj GaundareBAIF Development Research Foundation and Central Research Station, Uruli Kanchan, Pune, Maharashtra, 412202, India.
Sachin JoshiBAIF Development Research Foundation and Central Research Station, Uruli Kanchan, Pune, Maharashtra, 412202, India.
Hassan AlilooCentre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New England, Armidale, NSW, 2350, Australia.
Eva M StruckenCentre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New England, Armidale, NSW, 2350, Australia.
Vincent DucrocqUniversité Paris-Saclay, INRAE, AgroParisTech, UMR GABI, 78350, Jouy-en-Josas, France.
John P GibsonCentre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New England, Armidale, NSW, 2350, Australia.

Funding

Bill and Melinda Gates Foundation OPP1112185
6 · The paper itself

Abstract

backgroundIndia 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).

resultsThe 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.

conclusionsThe 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.

Indexed as

DairyingGenomicsMilkAnimalsBreedingCattleFemaleGenotypeIndiaLactationPedigree

Identifiers

PMID34507523
PMCPMC8431883

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.