{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T18:27:30Z","timestamp":1786472850322,"version":"build-2736575974"},"reference-count":38,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T00:00:00Z","timestamp":1780617600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T00:00:00Z","timestamp":1780617600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Animal Breeding Genetics"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Heat stress is an increasingly important challenge for the performance and welfare of equine athletes, particularly in competitions conducted across diverse climatic conditions. Understanding the genetic basis of performance responses to increasing thermal load is therefore essential to support robust genetic evaluation and sustainable selection strategies. The objective of this study was to evaluate barrel racing performance of Brazilian Quarter Horses across thermal environments defined by two widely used indicators, the temperature\u2013humidity index (THI) and the wet bulb globe temperature (WBGT), and to estimate genetic parameters associated with baseline performance and environmental sensitivity. A total of 351,993 barrel racing time (BRT) records from 13,960 Quarter Horses were analyzed. Segmented regression models were applied to least squares means to identify heat stress thresholds, while random regression models with polynomial functions were used to estimate covariance components, genetic parameters, and correlations along the thermal gradients. Distinct thermal thresholds were identified for both indices, at THI\u2009=\u200974.7 and WBGT\u2009=\u200923.6, beyond which performance deteriorated more rapidly. Heat stress conditions were observed in 31.15% and 20.71% of barrel racing events according to the THI and WBGT thresholds, respectively, emphasizing the practical relevance of the evaluated thermal gradients. Random regression models assuming continuous thermal variation provided the best overall fit to the data. Additive genetic variance remained relatively stable across thermal environments, whereas permanent environmental and residual variances increased under higher thermal load. Mean heritability under thermoneutral conditions was approximately 0.21 for THI and WBGT, declining modestly to 0.17\u20130.18 under extreme heat stress. Genetic correlations between thermoneutral and extreme environments remained high for both indices (at approximately 0.97), indicating strong genetic continuity of performance and no substantial reranking of estimated breeding values across the thermal gradient. Overall, THI and WBGT yielded highly consistent results in terms of thresholds, genetic parameters, and selection outcomes. Although WBGT showed slightly greater sensitivity under extreme conditions, THI offered smoother response patterns and clear operational advantages due to its simplicity and ease of calculation. No evidence of substantial genotype\u2010by\u2010environment interaction was detected for BRT. However, the results suggest that incorporating genetic tolerance to heat stress as a complementary selection criterion may help sustain barrel racing performance under increasingly challenging climatic conditions.<\/jats:p>","DOI":"10.1111\/jbg.70056","type":"journal-article","created":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T12:51:16Z","timestamp":1780663876000},"page":"719-733","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Thermal Thresholds and Genetic Sensitivity in Barrel Racing Performance of Quarter Horses Across Temperature\u2013Humidity Indices"],"prefix":"10.1111","volume":"143","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8392-1304","authenticated-orcid":false,"given":"M\u00e1rio Luiz","family":"Santana","sequence":"first","affiliation":[{"name":"Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ci\u00eancias Agr\u00e1rias e Tecnol\u00f3gicas Universidade Federal de Rondon\u00f3polis (UFR)  Rondon\u00f3polis MT Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8756-2182","authenticated-orcid":false,"given":"Annaiza Braga","family":"Bignardi","sequence":"additional","affiliation":[{"name":"Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ci\u00eancias Agr\u00e1rias e Tecnol\u00f3gicas Universidade Federal de Rondon\u00f3polis (UFR)  Rondon\u00f3polis MT Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,5]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"crossref","unstructured":"Adelman M. andK.Thompson.2017.\u201cEquestrian Cultures in Global and Local Contexts.\u201d Equestrian Cultures in Global and Local Contexts 1\u2013278 https:\/\/doi.org\/10.1007\/978\u20103\u2010319\u201055886\u20108\/COVER.","DOI":"10.1007\/978-3-319-55886-8_1"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/ANI13071169"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/jbg.12315"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2013\u20106611"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1017\/S175173111000090X"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.JEVS.2016.08.001"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2006\u2010513"},{"key":"e_1_2_10_9_1","first-page":"160","article-title":"National Genetic Evaluation of Milk Yield for Heat Tolerance of United States Holsteins","volume":"33","author":"Bohmanova J.","year":"2005","journal-title":"Interbull Annual Meeting Proceedings"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/eve.13433"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/ANI13040610"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2014\u20108023"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2020\u201019503"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/af\/vfy033"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00484\u2010023\u201002493\u20105"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1590\/S1516\u201035982007000500028"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/jbg.12118"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.3920\/CEP220018"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.JEVS.2025.105676"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1590\/0103\u20108478CR20180887"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2012\u20105947"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.3390\/ANI10091664"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/15459620802310770"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2042\u20103306.2002.tb05471.x"},{"key":"e_1_2_10_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/S00704\u2010023\u201004549\u20103"},{"key":"e_1_2_10_26_1","unstructured":"Misztal I. 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