Evidence map›Paper›PMID 34169379›Full record

ArticleTropical animal health and production2021

Estimation of genetic parameters for production and reproductive traits in Indian Karan-Fries cattle using multi-trait Bayesian approach.

Destaw Worku, G R Gowane, Ravi Kumar, Pooja Joshi, I D Gupta, Archana Verma

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Article in Tropical animal health and production, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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3 · Its place in the literature

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6 citing papers in PubMed.

  1. Review
  2. Article
  3. Genome-wide association study identifies significant SNPs for milk production and stature traits in Karan Fries cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  4. Article
  5. Article
  6. Article
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5 · Who and what money

Authors and funding

6 authors.

Destaw WorkuAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India. destawworku@gmail.com.
G R GowaneAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India.
Ravi KumarAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India.
Pooja JoshiAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India.
I D GuptaAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India.
Archana VermaAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimates of variance components are needed for implementing genetic selection. This study was conducted to genetic parameters for production and reproductive traits on Indian Karan-Fries cattle using multi-trait repeatability animal model. Data collected from ICAR-National Dairy Research Institute, Karnal, India (from 1988 to 2019) were used. Single-trait and multi-trait repeatability animal models were used for parameter estimation. The posterior mean of Heritability estimates for 305-day milk yield (305-DMY), lactation milk yield (LMY), lactation length (LL) were 0.20 ± 0.03, 0.19 ± 0.03 and 0.06 ± 0.02, respectively. For age at first calving (AFC), calving interval (CI), and days open (DO), the posterior mean of heritability estimates were 0.24 ± 0.08, 0.06 ± 0.01, and 0.07 ± 0.02, respectively. The repeatability estimates for 305-DMY, LMY, LL, CI, and DO were 0.37 ± 0.02, 0.34 ± 0.02, 0.15 ± 0.02, 0.09 ± 0.02, and 0.12 ± 0.02, respectively. Genetic correlation between milk production traits (305-DMY, LMY, and LL) was positive and strong (> 0.80). However, the genetic correlation between milk production trait and AFC ranges from - 0.31 to 0.12. Unfavorable strong genetic correlations were observed between production and reproductive traits (CI and DO) with values ranged from 0.5 to 0.7. Phenotypic correlations among 305-DMY, LMY, and LL were generally positive and high. The moderate heritability estimates and potential genetic variation for 305-DMY, TMY, and AFC suggested that genetic gain can be obtained for these traits through genetic selection. Low heritability estimates found for LL, CI and DO, indicating that the possibility of changing these traits through genetic selection is small. High genetic correlation observed between productive and fertility traits were unfavorable. The existed strong genetic and phenotypic correlation estimates between CI and DO indicates that recording only one of them would be sufficient in the herd. As the multi-trait model showed slight improvements in the h

Indexed as

LactationReproductionAnimalsBayes TheoremCattleFemaleFertilityIndiaMilkCorrelationGenetic parametersGibbs samplingMulti-traitProductive traitsReproductive traits

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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.