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

Worku, Destaw; Gowane, G. R.; Kumar, Rajesh; Joshi, Pawan Kumar; Gupta, I. D.

doi:10.1007/s11250-021-02806-z

Cited by 8 publications

(3 citation statements)

References 28 publications

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“…had longer calving interval. Similar unfavourable correlations among production and reproduction traits were reported earlier in different cattle breeds (Makgahlela et al 2007;Ratwan et al 2019c;Worku et al 2021). Positive and high residual correlations as obtained in current study indicate that modifying the environmental factors affecting one trait will result in change of other trait in analogous direction.…”

Section: Declarations Con Ict Of Interestsupporting

confidence: 91%

“…Earlier, researchers used maximum likelihood approaches in Sahiwal cattle to assess genetic parameters of performance traits (Rehman et al 2008;Ratwan et al 2018a;2019a;a). Additionally, researchers have estimated heritability, repeatability and genetic associations between production and fertility traits in dairy animals using Bayesian and restricted maximum likelihood methods (Kumar et al 2016;Ratwan et al 2018b;2019b;Worku et al 2021;. Bayesian approach resolves the issue of small sample size by creating a precise posteriori distribution in lieu of any large or small data from which elucidations may be drawn.…”

Section: Introductionmentioning

confidence: 99%

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Bayesian approach for assessment of co-variances and genetic parameters of economically important traits in Sahiwal cattle

RATWAN,

Kumar,

Chakravarty

2024

Preprint

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Precise as well as unbiased estimates of genetic parameters of economically important traits is important in lieu of framing breeding programmes for genetic progress of dairy animals. Present work was carried out to assess the co-variances along with genetic parameters of economically important traits in Sahiwal cattle with Bayesian approach. Records of Sahiwal cattle kept at ICAR-National Dairy Research Institute, Karnal, Haryana spanned over duration of 29 years i.e. 1988–2016 were used. Heritability estimates ± posterior standard deviation for 305 days’ milk yield (305DMY), lactation milk yield (LMY), lactation length (LL), peak yield (PY), days to attain peak yield (DPY), dry period (DP), gestation period (GP), calving to first insemination interval (CFI), days open (DO) and calving interval (CI) as obtained were 0.21 ± 0.04, 0.23 ± 0.04, 0.16 ± 0.03, 0.16 ± 0.03, 0.07 ± 0.02, 0.08 ± 0.02, 0.07 ± 0.02, 0.08 ± 0.02, 0.10 ± 0.02 and 0.11 ± 0.02, respectively and estimates of repeatability for the corresponding traits were 0.24 ± 0.04, 0.27 ± 0.04, 0.21 ± 0.04, 0.22 ± 0.03, 0.12 ± 0.03, 0.15 ± 0.03, 0.15 ± 0.03, 0.17 ± 0.03, 0.19 ± 0.03 and 0.19 ± 0.03. Moderate heritability values for 305DMY and LMY implies that sufficient additive genetic variability is available to obtain selection response. Repeatability estimates for 305DMY, LMY and PY were moderate, pointing towards the possibility of early appraisal of Sahiwal cattle for selection. Antagonistic genetic associations were observed between reproduction and production traits suggesting that reproduction traits need due attention while selecting high producing Sahiwal animals.

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Section: Declarations Con Ict Of Interestsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Bayesian approach for assessment of co-variances and genetic parameters of economically important traits in Sahiwal cattle

RATWAN,

Kumar,

Chakravarty

2024

Preprint

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“…Estimate of direct additive heritability is an important population parameter which measures the degree of correspondence between phenotypic value and breeding value of a trait of interest. However, ignoring maternal effects results in biased upward estimates of genetic parameters and reduced realized selection efficiency (Kumar et al, 2016;Wasike et al, 2006;Worku et al, 2021). Hence, to maximize the genetic gain in any selection programme and implementing accurate genetic evaluation programme, accurate estimates of variances for direct and maternal effects are required.…”

mentioning

confidence: 99%

Influence of additive and maternal effects on production and reproduction traits in Murrah buffaloes: Insights from Bayesian analysis

Sharma,

Dahiya,

Bangar

et al. 2024

Reprod Domestic Animals

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The aim of this research was to assess genetic parameters for first lactation production and reproduction traits in Murrah buffaloes by employing additive and maternal effects. Data on pedigree and specific traits of 640 Murrah buffaloes were gathered from 1997 to 2020. These traits encompassed first lactation milk yield (FLMY), 305‐day first lactation milk yield (305FLMY), first lactation length (FLL), first lactation peak yield (FPY), first service period (FSP), first calving interval (FCI) and first dry period (FDP). Genetic evaluations employed six univariate animal models, accounting for both direct and maternal effects, facilitated by THRGIBBS1F90 and POSTGIBBSF90 programs. Fixed factors included in the analysis were period of calving, season of calving and age at first calving. The Bayesian estimates for direct heritability, derived from the most suitable model, were as follows: FLMY: 0.28 ± 0.01, 305FLMY: 0.30 ± 0.01, FLL: 0.19 ± 0.01, FPY: 0.18 ± 0.01, FSP: 0.12 ± 0.01, FCI: 0.14 ± 0.01 and FDP: 0.12 ± 0.01. Maternal effects were found significant, ranging from 5% to 10%, in first lactation traits under Model 2 and Model 5. Additionally, positive and significant genetic and phenotypic correlations were observed among the studied traits. In conclusion, selection based on 305‐day first lactation milk yield suggests potential for genetic enhancement in Murrah buffaloes, advocating its inclusion in breeding programmes to bolster early performance. Also, consideration of maternal influences is necessary for genetic progress of animals.

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Genetic analysis of first lactation and lifetime performance traits in composite Vrindavani cattle: important considerations for higher milk production

Tamilarasan,

Ahmad,

Panda

et al. 2024

Trop Anim Health Prod

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

Cited by 8 publications

References 28 publications

Bayesian approach for assessment of co-variances and genetic parameters of economically important traits in Sahiwal cattle

Bayesian approach for assessment of co-variances and genetic parameters of economically important traits in Sahiwal cattle

Influence of additive and maternal effects on production and reproduction traits in Murrah buffaloes: Insights from Bayesian analysis

Genetic analysis of first lactation and lifetime performance traits in composite Vrindavani cattle: important considerations for higher milk production

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