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Genotype by environment interactions in productive traits in a local cattle breed due to breeding area, farming systems and feeding strategies

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TLDR
This study confirms the importance to detect GxE in local breeds reared in various environments and explains a certain quote of phenotypic variance, even greater than G in milk, protein yield and SCS.
Abstract
Genotype by environment interactions (GxE) may occur when individuals show different adaptation to local environment. Due to their typically great adeptness to environment local breeds may be reared in a variety of geographical areas and farming conditions, suggesting to investigate the occurrence of GxE for genetic improvement. Considering the local cattle breed Rendena, this study aimed to investigate GxE for traits of interest in a number of environmental conditions including the geographical area (plain, hill or mountain), the type of housing (tie-stall or loose housing), the feeding system (traditional or total mixed ration) and the occurrence of summer pasture. Following the reaction norm model approach, milk yield, fat and protein yield and percentage, and SCS were analysed via Bayesian inference. The solutions for the herd-test day (HTD) effect firstly obtained via animal model as estimates of environmental effect, were then used in a random regression model as environmental covariate for sire effect to obtain the intercept and the slope for target traits across different HTD levels. As result, GxE interactions explained a certain quote of phenotypic variance (about the 20% on average), even greater than G in milk, protein yield and SCS. Some differences in genetic variances were observed between estimates for HTD ascribable to different environmental conditions. A greater genetic component was observed for milk, fat and protein yield in plain farms, without summer pasture, under loose housing, and with a total mixed ration as feed. This may be explained by the fact that better conditions for individuals or for production could enhance the expression of individual performance. This study confirms the importance to detect GxE in local breeds reared in various environments.

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Effect of Feeding Adaptation of Italian Simmental Cows before Summer Grazing on Animal Behavior and Milk Characteristics.

TL;DR: In conclusion, the gradual inclusion of fresh grass in the diet in the valley farm did not improve the performance and milk characteristics of Italian Simmental dairy cows grazing on alpine pasture.
References
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TL;DR: It is shown how the estimates for the additive genetic covariance function and the selection gradient function can be used to predict the evolutionary change in a population's mean growth trajectory.
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Challenges and opportunities in genetic improvement of local livestock breeds

TL;DR: The objective of this paper is to review the technology options available for the genetic improvement of small local breeds and discuss their feasibility, noting that most technologies have been developed for the high-input breeds and consequently are more favorably applied in that context.
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Short communication: genotype by environment interaction due to heat stress.

TL;DR: Evaluations for heat tolerance were similar in cooler and hotter regions for high-reliability sires, partly because test-day records depict only snapshots of heat stress.
Journal ArticleDOI

Genotype by environment (climate) interaction improves genomic prediction for production traits in US Holstein cattle

TL;DR: The methodology used is promising in accounting for G × E in genomic predictions, but challenges exist in identifying a unique set of covariates capable of describing the entire variety of environments.
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