Genotype by environment interaction for fat and protein yields<i>via</i>reaction norms in Holstein cattle of southern Brazil

Mulim, Henrique Alberto; Carneiro, Paulo Luız Souza; Malhado, Carlos Henrıque Mendes; Pinto, Luís Fernando Batista; Mourão, Gérson Barreto; Valloto, Altair Antônio; Pedrosa, Victor Breno

doi:10.1017/s0022029921000029

Cited by 7 publications

(4 citation statements)

References 32 publications

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“…The degree of reranking of bulls is a widespread criterion to establish if the introduction of GxE is useful for routine selection practice or not: e.g., minor reranking of bulls for fat and protein yield [ 80 ] and for SCS [ 27 ] was observed in Brazilian Holstein bulls, suggesting non-relevant GxE. Despite a higher genetic response under intensive herd management, no reranking was found in French Holstein, Normande and Montbéliarde, despite a higher genetic response under intensive herd management [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Genotype by Environment Interaction and Selection Response for Milk Yield Traits and Conformation in a Local Cattle Breed Using a Reaction Norm Approach

Sartori

Tiezzi

Guzzo

et al. 2022

Animals

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Local breeds are often reared in various environmental conditions (EC), suggesting that genotype by environment interaction (GxE) could influence genetic progress. This study aimed at investigating GxE and response to selection (R) in Rendena cattle under diverse EC. Traits included milk, fat, and protein yields, fat and protein percentage, and somatic cell score, three-factor scores and 24 linear type traits. The traits belonged to 11,085 cows (615 sires). Variance components were estimated in a two-step reaction norm model (RNM). A single trait animal model was run to obtain the solutions of herd-EC effect, then included in a random regression sire model. A multivariate response to selection (R) in different EC was computed for traits under selection including beef traits from a performance test. GxE accounted on average for 10% of phenotypic variance, and an average rank correlation of over 0.97 was found between bull estimated breeding values (EBVs) by either including or not including GxE, with changing top ranks. For various traits, significantly greater genetic components and R were observed in plain farms, loose housing rearing system, feeding total mixed ration, and without summer pasture. Conversely, for beef traits, a greater R was found for mountain farms, loose housing, hay-based feeding and summer pasture.

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Section: Discussionmentioning

confidence: 99%

Genotype by Environment Interaction and Selection Response for Milk Yield Traits and Conformation in a Local Cattle Breed Using a Reaction Norm Approach

Sartori

Tiezzi

Guzzo

et al. 2022

Animals

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“…Other studies [2,22,[58][59][60][61][62][63] show small GEI effects and correlation values close to unity, with no significant reclassification of sires for milk production, whether with reaction norms or with analysis of genetic and order correlations between environments.…”

Section: Plos Onementioning

confidence: 99%

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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“…Similarly, Gerber et al [31], Huquet et al [32], Calus et al [21], and Schmid et al [33] studied macro-environmental plasticity for production traits in German Simmental, French Holstein, Dutch Holstein Friesian cattle, and German Brown Swiss cattle, defining the environmental conditions with different management parameters. Similarly, Santos et al [34] and Mulim et al [35,36] studied production traits in Brazilian Holstein, and Bohlouli et al [37] studied production traits as well as milk fat composition in German Holstein.…”

Section: Studies That Aimed At Estimating Gxe For Economically Releva...mentioning

confidence: 99%

Genotype by Environment Interactions in Livestock Farming

Tiezzi

Maltecca

2022

Encyclopedia of Sustainability Science and Technology Series

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Article Outline Glossary Definition of the subject Introduction Expanding the Model References GlossaryGenotype by environment interaction The difference in response to environment changes due to different genotypes. Breeding value Expected performance measured as deviation from the population mean of the progeny generated by a progenitor. Phenotype Observable characteristics of an individual. Resilience The ability to recover from stressful conditions. Robustness The ability of not being perturbated by stressful conditions. Tolerance The ability to cope with stressful conditions. Plasticity The ability to change in response to environmental inputs. Acclimation Increase of tolerance to stressful levels of environmental parameters.

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Genotype by environment interaction for fat and protein yieldsviareaction norms in Holstein cattle of southern Brazil

Cited by 7 publications

References 32 publications

Genotype by Environment Interaction and Selection Response for Milk Yield Traits and Conformation in a Local Cattle Breed Using a Reaction Norm Approach

Genotype by Environment Interaction and Selection Response for Milk Yield Traits and Conformation in a Local Cattle Breed Using a Reaction Norm Approach

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

Genotype by Environment Interactions in Livestock Farming

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