Literature DB >> 19458966

Assessing the heat tolerance of 17 beef cattle genotypes.

J B Gaughan1, T L Mader, S M Holt, M L Sullivan, G L Hahn.   

Abstract

Cattle production plays a significant role in terms of world food production. Nearly 82% of the world's 1.2 billion cattle can be found in developing countries. An increasing demand for meat in developing countries has seen an increase in intensification of animal industries, and a move to cross-bred animals. Heat tolerance is considered to be one of the most important adaptive aspects for cattle, and the lack of thermally-tolerant breeds is a major constraint on cattle production in many countries. There is a need to not only identify heat tolerant breeds, but also heat tolerant animals within a non-tolerant breed. Identification of heat tolerant animals is not easy under field conditions. In this study, panting score (0 to 4.5 scale where 0 = no stress and 4.5 = extreme stress) and the heat load index (HLI) [HLI(BG<25°C) = 10.66 + 0.28 × rh + 1.30 × BG - WS; and, HLI (BG> 25°C) = 8.62 + 0.38 × rh + 1.55 × BG - 0.5 × WS + e((2.4 - WS)), where BG = black globe temperature ((o)C), rh = relative humidity (decimal form), WS = wind speed (m/s) and e is the base of the natural logarithm] were used to assess the heat tolerance of 17 genotypes (12,757 steers) within 13 Australian feedlots over three summers. The cattle were assessed under natural climatic conditions in which HLI ranged from thermonuetral (HLI < 70) to extreme (HLI > 96; black globe temperature = 40.2°C, relative humidity = 64%, wind speed = 1.58 m/s). When HLI > 96 a greater number (P < 0.001) of pure bred Bos taurus and crosses of Bos taurus cattle had a panting score ≥ 2 compared to Brahman cattle, and Brahman-cross cattle. The heat tolerance of the assessed breeds was verified using panting scores and the HLI. Heat tolerance of cattle can be assessed under field conditions by using panting score and HLI.

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Year:  2009        PMID: 19458966     DOI: 10.1007/s00484-009-0233-4

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  8 in total

1.  Heat tolerance of Boran and Tuli crossbred steers.

Authors:  J B Gaughan; T L Mader; S M Holt; M J Josey; K J Rowan
Journal:  J Anim Sci       Date:  1999-09       Impact factor: 3.159

2.  Shade and water misting effects on behavior, physiology, performance, and carcass traits of heat-stressed feedlot cattle.

Authors:  F M Mitlöhner; J L Morrow; J W Dailey; S C Wilson; M L Galyean; M F Miller; J J McGlone
Journal:  J Anim Sci       Date:  2001-09       Impact factor: 3.159

Review 3.  Dynamic responses of cattle to thermal heat loads.

Authors:  G L Hahn
Journal:  J Anim Sci       Date:  1999       Impact factor: 3.159

4.  Environmental factors influencing heat stress in feedlot cattle.

Authors:  T L Mader; M S Davis; T Brown-Brandl
Journal:  J Anim Sci       Date:  2006-03       Impact factor: 3.159

5.  Maternal and reproductive performance of Brahman x Angus, Senepol x Angus, and Tuli x Angus cows in the subtropics.

Authors:  C C Chase; D G Riley; T A Olson; S W Coleman; A C Hammond
Journal:  J Anim Sci       Date:  2004-09       Impact factor: 3.159

6.  Fertility of N'dama and Bunaji cattle to artificial insemination following oestrus synchronization with PRID and PGF2alpha in the hot humid zone of Nigeria.

Authors:  A A Voh; A Larbi; S A S Olorunju; K Agyemang; B D Abiola; T O Williams
Journal:  Trop Anim Health Prod       Date:  2004-07       Impact factor: 1.559

7.  A new heat load index for feedlot cattle.

Authors:  J B Gaughan; T L Mader; S M Holt; A Lisle
Journal:  J Anim Sci       Date:  2007-10-02       Impact factor: 3.159

8.  Heat tolerance in Tuli-, Senepol-, and Brahman-sired F1 Angus heifers in Florida.

Authors:  A C Hammond; C C Chase; E J Bowers; T A Olson; R D Randel
Journal:  J Anim Sci       Date:  1998-06       Impact factor: 3.159

  8 in total
  35 in total

1.  Adaptive capability as indicated by endocrine and biochemical responses of Malpura ewes subjected to combined stresses (thermal and nutritional) in a semi-arid tropical environment.

Authors:  Veerasamy Sejian; Vijai P Maurya; Sayeed M K Naqvi
Journal:  Int J Biometeorol       Date:  2010-07-07       Impact factor: 3.787

2.  Body temperature and respiratory dynamics in un-shaded beef cattle.

Authors:  J B Gaughan; T L Mader
Journal:  Int J Biometeorol       Date:  2014-09       Impact factor: 3.787

3.  Effect of multiple stresses on growth and adaptive capability of Malpura ewes under semi-arid tropical environment.

Authors:  Veerasamy Sejian; Vijai Prakash Maurya; Kamal Kumar; Syed Mohammad Khursheed Naqvi
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4.  Assessment of thermal load on transported goats administered with ascorbic acid during the hot-dry conditions.

Authors:  N S Minka; J O Ayo
Journal:  Int J Biometeorol       Date:  2011-05-05       Impact factor: 3.787

Review 5.  Heat stress in dairy animals and current milk production trends, economics, and future perspectives: the global scenario.

Authors:  Alok K Wankar; Sandeep N Rindhe; Nandkumar S Doijad
Journal:  Trop Anim Health Prod       Date:  2021-01-04       Impact factor: 1.559

6.  Effect of heat stress on rumen temperature of three breeds of cattle.

Authors:  A M Lees; J C Lees; A T Lisle; M L Sullivan; J B Gaughan
Journal:  Int J Biometeorol       Date:  2017-09-16       Impact factor: 3.787

7.  Effect of polyphenols extracted from tamarind (Tamarindus indica L.) seed coat on pathophysiological changes and red blood cell glutathione peroxidase activity in heat-stressed broilers.

Authors:  Worapol Aengwanich; Maitree Suttajit
Journal:  Int J Biometeorol       Date:  2012-03-21       Impact factor: 3.787

Review 8.  Behavioural, physiological, neuro-endocrine and molecular responses of cattle against heat stress: an updated review.

Authors:  S R Mishra
Journal:  Trop Anim Health Prod       Date:  2021-07-13       Impact factor: 1.559

9.  Whole genome sequencing of Guzerá cattle reveals genetic variants in candidate genes for production, disease resistance, and heat tolerance.

Authors:  Izinara C Rosse; Juliana G Assis; Francislon S Oliveira; Laura R Leite; Flávio Araujo; Adhemar Zerlotini; Angela Volpini; Anderson J Dominitini; Beatriz C Lopes; Wagner A Arbex; Marco A Machado; Maria G C D Peixoto; Rui S Verneque; Marta F Martins; Roney S Coimbra; Marcos V G B Silva; Guilherme Oliveira; Maria Raquel S Carvalho
Journal:  Mamm Genome       Date:  2016-11-16       Impact factor: 2.957

10.  Transcriptome analysis and identification of significantly differentially expressed genes in Holstein calves subjected to severe thermal stress.

Authors:  Krishnamoorthy Srikanth; Eunjin Lee; Anam Kwan; Youngjo Lim; Junyep Lee; Gulwon Jang; Hoyoung Chung
Journal:  Int J Biometeorol       Date:  2017-09-12       Impact factor: 3.787

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