Genotype × region and genotype × production level interactions in Holstein cows

Chuma-Alvarez, J.L.; Montaldo, Hugo H.; Lizana, Carlos; Olivares, M E; Ruiz-López, F.J.

doi:10.1016/j.animal.2021.100320

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…A study analyzing breeding strategies in two environments, based on the highest mean genetic gain [52][53][54][55][56], found that the analysis was relatively insensitive to heritability, number of progenies per sire and the relative importance of both environments, but was very sensitive to intensity of selection, as occurred in this study. Another study [57] evaluating the weight of male and female cattle, but using linear regression, showed that males had higher body weights and greater gains in body mass (BW) compared to females, with advancing age.…”

Section: Plos Onesupporting

confidence: 52%

Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference

Júnior

Fernandes

Panetto³

et al. 2023

PLoS ONE

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The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires.

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