Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-23T16:30:12.343Z Has data issue: false hasContentIssue false
  • English
  • Français

Genotype by environment interaction due to heat stress during gestation and postpartum for milk production of Holstein cattle

Published online by Cambridge University Press:  19 May 2020

A. Menéndez-Buxadera ,
R. J. Pereira Open the ORCID record for R. J. Pereira [Opens in a new window] ,
L. El Faro Open the ORCID record for L. El Faro [Opens in a new window]  and
M. L. Santana Jr Open the ORCID record for M. L. Santana Jr [Opens in a new window]
A. Menéndez-Buxadera
Affiliation:
Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Campus Universitário de Rondonópolis, Universidade Federal de Rondonópolis, Avenida dos Estudantes, nº 5055, Rondonópolis, MTCEP 78735-901, Brazil Departamento de Genética, Grupo Meragen, Rabanales, Universidad de Córdoba, Cordoba14071, Spain
R. J. Pereira
Affiliation:
Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Campus Universitário de Rondonópolis, Universidade Federal de Rondonópolis, Avenida dos Estudantes, nº 5055, Rondonópolis, MTCEP 78735-901, Brazil
L. El Faro
Affiliation:
Centro de Pesquisas de Bovinos de Corte, Instituto de Zootecnia, Rodovia Carlos Tonanni, Km 94, Sertãozinho, SPCEP 14160-900, Brazil
M. L. Santana Jr*
Affiliation:
Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Campus Universitário de Rondonópolis, Universidade Federal de Rondonópolis, Avenida dos Estudantes, nº 5055, Rondonópolis, MTCEP 78735-901, Brazil
*
†E-mail: santana@ufr.edu.br
Get access

Abstract

Remarkable increases in the production of dairy animals have negatively impacted their tolerance to heat stress (HS). The evaluation of the effect of HS on milk yield is based on the direct impact of HS on performance. However, in practical terms, HS also exerts its influence during gestation (indirect effect). The main purpose of this study was to identify and characterize the genotype by environment interaction (G × E) due to HS during the last 60 days of gestation (THI_g) and also the HS postpartum (THI_m) over first lactation milk production of Brazilian Holstein cattle. A total of 389 127 test day milk yield (TD) records from 1572 first lactation Holstein cows born in Brazil (daughters of 1248 dams and 70 sires) and the corresponding temperature–humidity index (THI) obtained between December 2007 and January 2013 were analyzed using different random regression models. Cows in the cold environment (THI_g = 64 to 73) during the last 60 days of gestation produced more milk than those cows in a hot environment (THI_g = 74 to 84), particularly during the first 150 days of lactation (DIM). The heritabilities (h2) of TD were similar throughout DIM for cows in THI_g hot (0.11 to 0.20) or (0.10 to 0.22), while the genetic correlations (rg) for TD between these two environments ranged from 0.11 to 0.52 along the first 250 DIM. The h2 estimates for TD across THI_m were similar for cows in THI_g hot (0.07 to 0.25) and THI_g cold (0.08 to 0.19). The rg estimates ranged from 0.17 to 0.42 along THI_m between TD of cows in cold and hot THI_g. The results were consistent in demonstrating the existence of an additional source of G × E for TD due to THI_g and THI_m. The present study is probably the first to provide evidence of this source of G × E; further research is needed because of its importance when the breeding objective is to select animals that are more tolerant to HS.

Keywords

genetic parametersmilk yieldreaction normtemperature–humidity indexthermal stress
Type
Research Article
Information
animal , Volume 14 , Issue 10 , October 2020 , pp. 2014 - 2022
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Animal Consortium

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adin, G, Gelman, A, Solomon, R, Flamenbaum, I, Nikbachat, M, Yosef, E, Zenou, A, Shamay, A, Feuermann, Y, Mabjeesh, SJ and Miron, J 2009. Effects of cooling dry cows under heat load conditions on mammary gland enzymatic activity, intake of food and water, and performance during the dry period and after parturition. Livestock Science 124, 189–195.10.1016/j.livsci.2009.01.014CrossRefGoogle Scholar
Bryant, JR, López‐Villalobos, N, Pryce, JE, Holmes, CW and Johnson, DL 2007. Quantifying the effect of thermal environment on production traits in three breeds of dairy cattle in New Zealand. New Zealand Journal of Agricultural Research 50, 327–338.10.1080/00288230709510301CrossRefGoogle Scholar
Carabaño, MJ, Bachagha, K, Ramón, M and Díaz, C 2014. Modeling heat stress effect on Holstein cows under hot and dry conditions: selection tools. Journal of Dairy Science 97, 7889–7904.10.3168/jds.2014-8023CrossRefGoogle ScholarPubMed
Carabaño, MJ 2016. El desafío de la selección genética de animales tolerantes al estrés por calor: El caso del ganado bovino lechero. Archivos Latinoamericanos de Producción Animal 24, 69–73.Google Scholar
Carabaño, MJ, Logar, B, Bormann, J, Minet, J, Vanrobays, ML, Diaz, C, Tychon, B, Gengler, N and Hammami, H 2016. Modeling heat stress under different environmental conditions. Journal of Dairy Science 99, 3798–3814.10.3168/jds.2015-10212CrossRefGoogle ScholarPubMed
Lindsey, R and Dahlman, LA 2018. Climate change: global temperature. Retrieved on 18 September 2018 from https://wwwclimategov/news-features/understanding-climate/climate-change-global-temperatureGoogle Scholar
Gilmour, AR, Gogel, BJ, Cullis, BR and Thompson, R 2009. ASReml User Guide Release 30. VSN International Ltd, Hemel Hempstead, UK.Google Scholar
Goddard, ME and Whitelaw, E 2014. The use of epigenetic phenomena for the improvement of sheep and cattle. Frontiers in Genetics 5, 247.10.3389/fgene.2014.00247CrossRefGoogle ScholarPubMed
González-Recio, O, Ugarte, E and Bach, A 2012. Trans-generational effect of maternal lactation during pregnancy: a Holstein cow model. PLoS One 7, e51816.10.1371/journal.pone.0051816CrossRefGoogle ScholarPubMed
Hayes, BJ, Bowman, PJ, Chamberlain, AJ, Savin, K, Van Tassell, CP, Sonstegard, TS and Goddard, ME 2009. A validated genome wide association study to breed cattle adapted to an environment altered by climate change. PLoS one 4, e6676.10.1371/journal.pone.0006676CrossRefGoogle Scholar
Jamrozik, J and Schaeffer, LR 1997. Estimates of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins. Journal of Dairy Science 80, 762–770.10.3168/jds.S0022-0302(97)75996-4CrossRefGoogle ScholarPubMed
Kadzere, CT, Murphy, MR, Silanikove, N and Maltz, E 2002. Heat stress in lactating dairy cows: a review. Livestock Production Science 77, 59–91.10.1016/S0301-6226(01)00330-XCrossRefGoogle Scholar
Mauger, G, Bauman, Y, Nennich, T and Salathé, E 2015. Impacts of climate change on milk production in the United States. The Professional Geographer 67, 121–131.10.1080/00330124.2014.921017CrossRefGoogle Scholar
Misztal, I, Bohmanova, J, Freitas, M, Tsuruta, S, Norman, HD and Lawlor, TJ 2006. Issues in genetic evaluation of dairy cattle for heat tolerance. In Proceedings of 8th World Congress on Genetics Applied to Livestock Production, 13–18 August 2006, Belo Horizonte, Brazil.Google Scholar
Montenegro, RG, Rodríguez, AH and Menéndez-Buxadera, A 2018. Componentes de varianza genética para producción de leche y tolerancia a cambios de temperatura ambiental en vacas Holstein en Chiriquí, Panamá. Livestock Research for. Rural Development 30, 1–18.Google Scholar
National Research Council (NRC) 1971. A guide to environmental research on animals. National Academy Press, Washington, DC, USA.Google Scholar
Nguyen, TT, Bowman, PJ, Haile-Mariam, M, Nieuwhof, GJ, Hayes, BJ and Pryce, JE 2017. Implementation of a breeding value for heat tolerance in Australian dairy cattle. Journal of Dairy Science 100, 7362–7367.10.3168/jds.2017-12898CrossRefGoogle ScholarPubMed
Ravagnolo, O and Misztal, I 2000. Genetic component of heat stress in dairy cattle, parameter estimation. Journal of Dairy Science 83, 2126–2130.10.3168/jds.S0022-0302(00)75095-8CrossRefGoogle ScholarPubMed
St-Pierre, NR, Cobanov, B and Schnitkey, G 2003. Economic losses from heat stress by US livestock industries. Journal of Dairy Science 86, E52–E77.10.3168/jds.S0022-0302(03)74040-5CrossRefGoogle Scholar
Santana, ML Jr, Pereira, RJ, Bignardi, AB, Vercesi Filho, AE, Menendez-Buxadera, A and El Faro, L 2015. Detrimental effect of selection for milk yield on genetic tolerance to heat stress in purebred Zebu cattle: genetic parameters and trends. Journal of Dairy Science 98, 9035–9043.10.3168/jds.2015-9817CrossRefGoogle ScholarPubMed
Santana, ML, Bignardi, AB, Pereira, RJ, Menéndez-Buxadera, A and El Faro, L 2016. Random regression models to account for the effect of genotype by environment interaction due to heat stress on the milk yield of Holstein cows under tropical conditions. Journal of Applied Genetics 57, 119–127.10.1007/s13353-015-0301-xCrossRefGoogle ScholarPubMed
Santana, ML, Bignardi, AB, Pereira, RJ, Stefani, G and El Faro, L 2017. Genetics of heat tolerance for milk yield and quality in Holsteins. Animal 11, 4–14.10.1017/S1751731116001725CrossRefGoogle ScholarPubMed
Tao, S, Bubolz, JW, Do Amaral, BC, Thompson, IM, Hayen, MJ, Johnson, SE and Dahl, GE 2011. Effect of heat stress during the dry period on mammary gland development. Journal of Dairy Science 94, 5976–5986.10.3168/jds.2011-4329CrossRefGoogle ScholarPubMed
Tao, S and Dahl, GE 2013. Invited review: heat stress effects during late gestation on dry cows and their calves. Journal of Dairy Science 96, 4079–4093.10.3168/jds.2012-6278CrossRefGoogle ScholarPubMed
Tao, S, Orellana, RM, Weng, X, Marins, TN, Dahl, GE and Bernard, JK 2018. Symposium review: the influences of heat stress on bovine mammary gland function. Journal of Dairy Science 101, 5642–5654.10.3168/jds.2017-13727CrossRefGoogle ScholarPubMed
Thompson, IM and Dahl, GE 2012. Dry-period seasonal effects on the subsequent lactation. The Professional Animal Scientist 28, 628–631.10.15232/S1080-7446(15)30421-6CrossRefGoogle Scholar
Via, S, Gomulkiewicz, R, De Jong, G, Scheiner, SM, Schlichting, CD and Van Tienderen, PH 1995. Adaptive phenotypic plasticity: consensus and controversy. Trends in Ecology & Evolution 10, 212–217.10.1016/S0169-5347(00)89061-8CrossRefGoogle ScholarPubMed
Supplementary material: File

Menéndez-Buxadera et al. supplementary material

Menéndez-Buxadera et al. supplementary material

Download Menéndez-Buxadera et al. supplementary material(File)
File 1.5 MB