Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India
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 indig...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | deu |
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BMC
2021-09-01
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| Series: | Genetics Selection Evolution |
| Online Access: | https://doi.org/10.1186/s12711-021-00667-6 |
| _version_ | 1818364123840249856 |
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| author | Mohammad Al Kalaldeh Marimuthu Swaminathan Yuvraj Gaundare Sachin Joshi Hassan Aliloo Eva M. Strucken Vincent Ducrocq John P. Gibson |
| author_facet | Mohammad Al Kalaldeh Marimuthu Swaminathan Yuvraj Gaundare Sachin Joshi Hassan Aliloo Eva M. Strucken Vincent Ducrocq John P. Gibson |
| author_sort | Mohammad Al Kalaldeh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T21:59:22Z |
| format | Article |
| id | doaj.art-1709955c0efc4a5aae0b78d5c8da3a8b |
| institution | Directory Open Access Journal |
| issn | 1297-9686 |
| language | deu |
| last_indexed | 2024-12-13T21:59:22Z |
| publishDate | 2021-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Genetics Selection Evolution |
| spelling | doaj.art-1709955c0efc4a5aae0b78d5c8da3a8b2022-12-21T23:30:02ZdeuBMCGenetics Selection Evolution1297-96862021-09-0153111410.1186/s12711-021-00667-6Genomic evaluation of milk yield in a smallholder crossbred dairy production system in IndiaMohammad Al Kalaldeh0Marimuthu Swaminathan1Yuvraj Gaundare2Sachin Joshi3Hassan Aliloo4Eva M. Strucken5Vincent Ducrocq6John P. Gibson7Centre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New EnglandBAIF Development Research Foundation and Central Research Station, Uruli KanchanBAIF Development Research Foundation and Central Research Station, Uruli KanchanBAIF Development Research Foundation and Central Research Station, Uruli KanchanCentre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New EnglandCentre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New EnglandUniversité Paris-Saclay, INRAE, AgroParisTech, UMR GABICentre for Genetic Analysis and Applications, School of Environmental and Rural Science, University of New EnglandAbstract 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.https://doi.org/10.1186/s12711-021-00667-6 |
| spellingShingle | Mohammad Al Kalaldeh Marimuthu Swaminathan Yuvraj Gaundare Sachin Joshi Hassan Aliloo Eva M. Strucken Vincent Ducrocq John P. Gibson Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India Genetics Selection Evolution |
| title | Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India |
| title_full | Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India |
| title_fullStr | Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India |
| title_full_unstemmed | Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India |
| title_short | Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India |
| title_sort | genomic evaluation of milk yield in a smallholder crossbred dairy production system in india |
| url | https://doi.org/10.1186/s12711-021-00667-6 |
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