&lt;b&gt;Influence of genotype-environment interaction on the classification of Nellore bulls in Southern Brazil

Bresolin, Tiago; Everling, Dionéia Magda; Rorato, Paulo Roberto Nogara; Braz, Camila Urbano; Breda, Fernanda Cristina

doi:10.4025/actascianimsci.v37i2.23602

Cited by 2 publications

(3 citation statements)

References 27 publications

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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%

The impact of heterogeneity of variances on the genetic evaluation of performance traits in Nellore cattle

Menezes¹,

Araújo²,

Novo³

et al. 2022

Revista Brasileira De Zootecnia

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The objective was to evaluate the existence of heterogeneity of variances and its impact on the genetic evaluation of ponderal performance in sires of the Nellore breed. We used records of adjusted body weights at 210 (W210), 365 (W365), and 450 (W450) days of age. Both W365 and W450 were combined by principal component analyses using the first component (PC). Average daily gain (ADG) was obtained by difference between W450 and W210. The classes of standard deviations (SD) for W210, PC, and ADG were obtained by the standardization of means of herd-year means subclasses, with positive values composing the high SD and values equal and less than zero composing the SD. The model included the fixed effects of contemporary group and age at calving as a covariate, random genetic additive, and maternal genetic (except for PC) effects, and the permanent maternal environment. Variance components were obtained by Gibbs sampling. Posterior means of heritability in analyses without considering heterogeneity of variances ranged from 0.15±0.01 to 0.31±0.01. Posterior means of genetic correlations between the two classes of SD for W210, PC, and ADG were equal to 0.85±0.04, 0.83±0.03, and 0.71±0.08, respectively. Spearman correlation to breeding values of sires for ADG as the selection intensity increased in them, and the correlations between breeding values in general analyses were more correlated with those predicted in the high DP. Therefore, when there is a higher selection intensity on the sires only for the ADG criterion, there is a significant presence of the heterogeneity of variances and impact on the genetic evaluation of the sires. Thus, for ADG, the predictions of breeding values obtained by the genetic evaluation model in which the heterogeneity of variances are not considered are more weighted by the class of greater heterogeneity.

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Section: Discussionmentioning

confidence: 90%

The impact of heterogeneity of variances on the genetic evaluation of performance traits in Nellore cattle

Menezes¹,

Araújo²,

Novo³

et al. 2022

Revista Brasileira De Zootecnia

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“…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%

Genotype×Environment Interactions in Growth Performance of Brahman Crossbred Cattle in Bangladesh

Rashid¹,

Hoque²,

Huque³

et al. 2015

Asian J. of Animal Sciences

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The objective was to evaluate the effects of genotype×environment interaction on growth traits of Brahman crossbred cattle. The animals were reared in two environments viz., Central Cattle Breeding Station (on-station) and farmer's herd (on-farm) where management system was respectively intensive and semi-intensive in nature. Birth weight was very similar across environments. Average body weight at different ages was greater in on-station herd than in on-farm herd (p<0.01). Body weight was 23.0, 25.4, 41.5 and 27.5 kg greater at 6, 9, 12 and 18 month in on-station herd than in the on-farm herd, respectively. Significant interaction between sire×environment in most of the growth traits (p<0.001) was observed. Heritability estimates for growth traits were greater in on-station herd (ranged from 0.29-0.47) than in on-farm herd (ranged from 0.48-0.50). Genetic correlations of the same growth trait between two environments showed a decreasing tendency with the increase in age of animal (from 0.74±0.05 at 3 months to 0.57±0.05 at 24 months). These results demonstrate that effects of G×E in Brahman crossbred cattle are large between two types of management system indicating that breeding bull selection and use should be carried out within environment basis.

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<b>Influence of genotype-environment interaction on the classification of Nellore bulls in Southern Brazil

Cited by 2 publications

References 27 publications

The impact of heterogeneity of variances on the genetic evaluation of performance traits in Nellore cattle

The impact of heterogeneity of variances on the genetic evaluation of performance traits in Nellore cattle

Genotype×Environment Interactions in Growth Performance of Brahman Crossbred Cattle in Bangladesh

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