02592naa a2200301 a 450000100080000000500110000800800410001902200140006002400300007410000140010424501160011826000090023450001330024352015020037665300170187865300340189565300200192965300160194965300220196565300310198770000160201870000180203470000190205270000160207170000220208770000180210977301630212710616612021-01-11       2021    bl uuuu     u00u1 u    #d  a1976-55177 a10.5713/ajas.19.09602DOI1 aNEGRI, R.  aInclusion of bioclimatic variables in genetic evaluations of dairy cattle.[Open Access].h[electronic resource]  c2021  aArticle history: Submitted Dec 16, 2019 / Revised Mar 27, 2020 / Accepted Apr 28, 2020. Corresponding Author: rn.negri@yahoo.com  aObjective: Considering the importance of dairy farming and the negative effects of heat stress, more tolerant genotypes need to be identified. The objective of this study was to investigate the effect of heat stress via temperature-humidity index (THI) and diurnal temperature variation (DTV) in the genetic evaluations for daily milk yield of Holstein dairy cattle, using random regression models. Methods: The data comprised 94,549 test-day records of 11,294 first parity Holstein cows from Brazil, collected from 1997 to 2013, and bioclimatic data (THI and DTV) from 18 weather stations. Least square linear regression models were used to determine the THI and DTV thresholds for milk yield losses caused by heat stress. In addition to the standard model (SM, without bioclimatic variables), THI and DTV were combined in various ways and tested for different days, totaling 41 models. Results: The THI and DTV thresholds for milk yield losses was THI = 74 (?0.106 kg/d/THI) and DTV = 13 (?0.045 kg/d/DTV). The model that included THI and DTV as fixed effects, considering the two-day average, presented better fit (?2logL, Akaike information criterion, and Bayesian information criterion). The estimated breeding values (EBVs) and the reliabilities of the EBVs improved when using this model. Conclusion: Sires are re-ranking when heat stress indicators are included in the model. Genetic evaluation using the mean of two days of THI and DTV as fixed effect, improved EBVs and EBVs reliability.  aDAIRY CATTLE  aDIURNAL TEMPERATURE VARIATION  aGANADO DE LECHE  aHEAT STRESS  aRANDOM REGRESSION  aTEMPERATURE-HUMIDITY INDEX1 aAGUILAR, I.1 aFELTES, G. L.1 aMACHADO, J. D.1 aNETO, J. B.1 aCOSTA-MAIA, F. M.1 aCOBUCI, J. A.  tAnimal Bioscience [Asian-Australasian Journal of Animal Sciences], Volume 34, Issue 2, February 2021, Pages 163-171. Doi: https://doi.org/10.5713/ajas.19.0960