2015
DOI: 10.4025/actascianimsci.v37i2.23602
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<b>Influence of genotype-environment interaction on the classification of Nellore bulls in Southern Brazil

Abstract: The aim of this study was to assess the occurrence of genotype-environment interaction, as well as its effects on the magnitude of genetic parameters and the classification of Nellore breeding bulls for the trait adjusted weight at 205 days (W205) on Southern Brazil. The components of (co)variance were estimated by Bayesian inference, using a linear-linear animal model in a bi-trait analysis. The proposed model for the analyses considers as random the direct additive genetic and maternal effects and residual e… Show more

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Cited by 2 publications
(3 citation statements)
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“…Adverse results were obtained by Ferreira et al (2014), Santos et al (2019), andBresolin et al (2015), who verified the effect of heterogeneity of variances for body weight at 205 days of age in Nellore cattle, with heritability estimates ranging from 0.11 to 0.34, values for genetic correlations from 0.52 to 0.84 showing a GEI. Similarly, Espasandin et al (2013), in the Angus breed, verified the presence of the GEI for weaning weight, with estimates ranging from 0.31 to 0.54 and correlations ranging from 0.20 to 0.44, proving that there is interaction between the environment and genotype.…”
Section: Discussionmentioning
confidence: 90%
“…Adverse results were obtained by Ferreira et al (2014), Santos et al (2019), andBresolin et al (2015), who verified the effect of heterogeneity of variances for body weight at 205 days of age in Nellore cattle, with heritability estimates ranging from 0.11 to 0.34, values for genetic correlations from 0.52 to 0.84 showing a GEI. Similarly, Espasandin et al (2013), in the Angus breed, verified the presence of the GEI for weaning weight, with estimates ranging from 0.31 to 0.54 and correlations ranging from 0.20 to 0.44, proving that there is interaction between the environment and genotype.…”
Section: Discussionmentioning
confidence: 90%
“…However, analyzing weaning weight data from three different region Van Niekerk et al (2004) reported that the genetic correlations of region-2 and region-3 with region-1 were 1.00 and 0.71, respectively and this was 0.60 between region-2 and region-3. Similarly, Bresolin et al (2015) reported that the genetic correlation for adjusted 205 days weight of Nellore bulls varied from 0.52-0.84 among three regions and Bradfield et al (1997) reported that the genetic correlation was 0.63 for weaning weight in Santa Gertrudis cattle between two production environments. Moreover, Espasandin et al (2011) found that the estimated genetic correlation for the direct additive genetic effect for weaning weight between two countries, Brazil and Uruguay, was 0.77.…”
Section: Estimates Of G×e For Growth Traitsmentioning
confidence: 99%
“…Earlier studies have reported the existence of significant G×E in growth traits between production systems (Bradfield et al, 1997;Amelie, 2007;Assenza et al, 2010;Raidan et al, 2015), among regions (Van Niekerk et al, 2004;Guidolin et al, 2012;Bresolin et al, 2015), between countries (Espasandin et al, 2011) and between seasons of birth (De Alencar et al, 2005;Williams et al, 2012). For example, Assenza et al (2010) found that the genetic correlations between each trait expressed in an intensive fattening system and the same trait expressed in a pasture spanned from 0.31-0.93 while Raidan et al (2015) reported genetic correlation to be 0.75 for final weight between nellore cattle reared in feedlot and on pasture.…”
Section: Introductionmentioning
confidence: 99%