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. 2019 Jan 3;9(1):62-68.
doi: 10.1093/af/vfy033. eCollection 2019 Jan.

Selecting for heat tolerance

María J Carabaño  1 , Manuel Ramón  2 , Alberto Menéndez-Buxadera  3 , Antonio Molina  3 , Clara Díaz  1
Affiliations

Selecting for heat tolerance

María J Carabaño et al. Anim Front. .
No abstract available

Keywords: breeding tools; heat tolerance.

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Figures

Figure 1.
Figure 1.
Estimated individual deviations from the average population response in productive traits, milk, fat, protein and somatic cell score (SCS), to increasing values of daily average temperature (TAVE) under a broken line model for top (blue), average (green) and bottom (red) animals according to the level of each trait (Source: Carabaño et al., 2014).
Figure 2.
Figure 2.
Correlations between estimated values for production level (milk, fat and protein yields) and thermo-tolerance (slope of production decay) along the scale of average daily temperatures (Tave0) in three dairy breeds: Holstein cattle, International Assaf and Local Manchega sheep.
Figure 3.
Figure 3.
Gene ontology (GO) terms of genes reported in the literature of genome wide association (gwas) and transcriptomic (rnas) studies to be involved in the response of animals to heat stress. Bars show the number of genes (percent of total) for biological processes or molecular functions obtained from the GO analysis using Panther (http://pantherdb.org/).
Figure 4.
Figure 4.
Estimated genetic trends in two dairy cattle breeds: Holstein (Bos Taurus) amd Gyr (Bos indicus). Lines show genetic trends for milk production (blue) and heat tolerance (orange). For Gyr cattle, year of first result of progeny test program (PTP) is marked by and arrow. Source: Carabaño et al., 2017 (left) and Santana et al., 2015 (right).
See this image and copyright information in PMC

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