Estimation of animal × environment interaction in Czech beef cattle

Vostrý, L.; Přibyl, J.; Schlote, W.; Veselá, Zdenka; Jakubec, V.; Majzlík, I.; Mach, Katharine J.

doi:10.5194/aab-52-15-2009

Cited by 7 publications

(10 citation statements)

References 19 publications

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“…These authors stated that the evaluation of growth on the basis of weight gains in consecutive growth segments was more suitable than evaluation according to body weights because it is possible to determine more exactly the effects of fixed and random environment which influence the animal growth during particular periods. In recent years great progress has been made in beef cattle breeding in the Czech Republic and other countries (Přibyl et al 2003, Vostrý et al 2007, Vostrý et al 2008, Vostrý et al 2009, Bene et al 2010, Zahrádková et al 2010, Veselá et al 2011.…”

Section: Introductionmentioning

confidence: 99%

Genetic parameters for growth of young beef bulls

2012

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Abstract. The average daily gains of young bulls on test stations (ADGT) were analysed for the most frequent breeds of beef cattle in the Czech Republic using a multiple-trait animal model. Body weights at birth (W0), at 120 days of age (W120) and at weaning at 210 days (WW) were considered in this model as pre-weaning growth. The tested models comprised some of the random effects: direct genetic effect, maternal genetic effect, permanent animal environment effect, permanent maternal environment effect, and some of the fixed effects: dam’s age, sex, herd-year-season, linear and quadratic regression on age at the beginning of the test. For optimization of the models Akaike information criterion (AIC), residual variance and likelihood ratio test were used. Coefficients of direct and maternal heritability across breeds of about 0.25 for W0, about 0.17 for W120, about 0.17 for WW and about 0.29 for ADGT were estimated by all models. All criteria selected models including the permanent animal environment effect, which was the most important effect in the model.

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Section: Introductionmentioning

confidence: 99%

Genetic parameters for growth of young beef bulls

2012

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“…Conversely, rams are usually sold to other flocks. The different breeding conditions across flocks could also influence the genetic potential of sires if a genotype × environment interaction is manifested (Vostry et al 2009). Generally, genetic inter-relatedness of flocks is low in the Czech Republic, which enables individual sires to be compared only within flocks.…”

Section: Discussionmentioning

confidence: 99%

Response to selection of a breeding program for Suffolk sheep in the Czech Republic

Ptáček¹,

Ducháček²,

Schmidová³

et al. 2018

CZECH J ANIM SCI

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Ptáček M., Ducháček J., Schmidová J., Stádník L. (2018): Response to selection of a breeding program for Suffolk sheep in the Czech Republic. Czech J. Anim. Sci., 63, 305-312.Lamb growth performance traits in relation to parental breeding values (BVs) for these traits were evaluated in a purebred Suffolk sheep population in the Czech Republic. The research lasted over 8 years and included 24 886 lambs. Four relevant parental BVs were observed: BV predicted for lamb live weight direct effect (BVLW-DE), BV predicted for lamb live weight maternal effect (BVLW-ME), BV predicted for lamb musculus longissimus lumborum et thoracis depth (BV-MLLT), and BV predicted for lamb backfat thickness (BV-BT). The lamb live weight (LW; kg), musculus longissimus lumborum et thoracis depth (MLLT; mm), and backfat thickness (BT; mm) were assessed at 100 days of age. A dataset was created using the most current parental BVs for each year (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) and subsequent growth traits of their lambs in the next season (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015). Linear regressions showed an increased tendency when one point in dam BVs was associated with an increase in lamb LW (0.393 kg; P < 0.01 in BVLW-DE and 0.090 kg; P < 0.05 in BVLW-ME), MLLT (0.340 mm; P < 0.01 in BV-MLLT), or BT (0.243; P < 0.01 mm in BV-BT). Lower (but significant -P < 0.01) values on linear regression were detected for sire BVs, when 0.135 kg of LW, 0.217 mm of MLLT, and 0.214 mm of BT corresponded to 1-point increases of BVLW-DE, BV-MLLT, or BV-BT. This was confirmed by ANOVA evaluation, especially for LW and MLLT traits. Maximal differences (P < 0.05) in lamb LW were 1.84 kg or 0.88 kg regarding to dam or sire BVLW-DE groups. Similarly, the difference (P < 0.05) in lamb MLLT reached 0.82 mm in dam BV-MLLT, while 0.57 mm was detected in sire BV-MLLT groups. These results have practical implications for the objectives of selection schemes used in the Suffolk sheep population in the Czech Republic.

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“…Usually, reaction norm models (RNM) have been used to assess GEI in several economically important breeds, such as dairy cattle (Bohmanova et al 2008, Streit et al 2012 and beef cattle (Ambrosini et al 2012, Corrêa et al 2009, Mattar et al 2011, Vostry et al 2009. The utilization of RNM in identification of high-quality individuals might potentially change the current paradigm of selection strategies, once the predictions of genetic values can differ for the same candidate to selection in distinct environments (Mattar et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Reaction norms of direct and maternal effects for weight at 205 days in Polled Nellore cattle in north-eastern Brazil

et al. 2014

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Abstract. This study investigated the presence of genotype-environment interaction (GEI) for body weight adjusted to 205 days of age (W205) in Polled Nellore cattle raised in north-eastern Brazil using reaction norm (RN) models. The reaction norm hierarchical models (RNHM) included the fixed (linear and quadratic) effect of cow’s age, random effect of contemporary group (CG), RN level and slope for additive direct and maternal genetic effects and permanent maternal environmental effect. The one-step reaction norm model with homogeneous residual variance (RNHM1sHm) yielded the best adjustment compared to the others. Based on this model, the estimates of direct additive and maternal variances and increased with environment improvement (35.34±7.92 kg2 to 134.42±25.97 kg2 and 12.76±5.38 kg2 to 58.22±19.74 kg2 for low and high-quality environments, respectively). The estimates of heritability direct additive and maternal too increased with environmental improvement (0.08±0.02 to 0.24±0.04 and 0.03±0.01 to 0.10±0.04). The correlation between the intercept and the slope of RNHM indicates that animals with higher genetic values respond more efficiently to environmental improvements, representing a scale effect for W205. These results allowed us to characterize the GEI for W205 and showed that specific evaluation should be performed with low, intermediary and high production levels.

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Estimation of animal × environment interaction in Czech beef cattle

Cited by 7 publications

References 19 publications

Genetic parameters for growth of young beef bulls

Genetic parameters for growth of young beef bulls

Response to selection of a breeding program for Suffolk sheep in the Czech Republic

Reaction norms of direct and maternal effects for weight at 205 days in Polled Nellore cattle in north-eastern Brazil

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