Assessment of Genotype by Environment Interaction Via Reaction Norms for Milk Yield in Holstein Cattle of Southern Brazil
By:
References
- Abdalla E.A., Weigel K.A., Byrem T.M., Rosa G.J.M. (2016). Short communication: Genetic correlation of bovine leukosis incidence with somatic cell score and milk yield in a US Holstein population. J. Dairy Sci, 99:2005-2009.
- Al Reyad M., Abid Hasan S.M., Elias U.M., Habib R., Harun-ur-Rashid M. (2016). Effect of heat stress on milk production and its composition of Holstein Friesian crossbred dairy cows. Asian J. Med. Biol. Res, 2:190-195.
- Alvares C.A., Stape J.L., Sentelhas PC, De Moraes Gonçalves J.L., Sparovek G. (2013). Köppen’s climate classification map for Brazil. Meteorol. Z, 22:711-728.
- Benni S., Pastell M., Bonora F., Tassinari P., Torreggiani D. (2020). A generalised additive model to characterise dairy cows’ responses to heat stress. Animal, 14:418-424.
- Bignardi A.B., Faro L.E., Pereira R.J., Ayres D.R., Machado P.F., Albuquerque L.G.D., Santana Junior M.L. (2015). Reaction norm model to describe environmental sensitivity across first lactation in dairy cattle under tropical conditions. Trop Anim Health Pro., 47:1405-1410.
- Bohlouli M., Alijani S. (2012). Genotype by environment interaction for milk production traits in Iranian Holstein dairy cattle using random regression model. Livest Res Rural Dev, 24:7-12.
- Bohmanova J., Misztal I., Tsuruta S., Norman H.D., Lawlor T.J. (2008). Short Communication: Genotype by Environment Interaction Due to Heat Stress. J. Dairy Sci, 91:840-846.
- Carabaño M.J., Bachagha K., Ramón M., Díaz C. (2014). Modeling heat stress effect on Holstein cows under hot and dry conditions: Selection tools. J. Dairy Sci, 97:7889-7904.
- Cotor G., Gâjâilă G., Vitelaru A.B., Ghiţă M., Brăslaşu C. (2015). The effect of environmental temperature variation, on milk yield and composition, in dairy cows. J. Biotechnol., 208:S39.
- Dingemanse N.J., Wolf M. (2013). Between-individual differences in behavioural plasticity within populations: causes and consequences. Anim. Behav., 85:1031-1039
- Do D.N., Fleming A., Schenkel F.S., Miglior F., Zhao X., Ibeagha-Awemu E.M. (2018) Genetic parameters of milk cholesterol content in Holstein cattle. Can. J. Anim. Sci., 98: 714-722.
- Falconer D.S. (1952). The Problem of Environment and Selection. Am. Nat., 86: 293-298.
- Hadrich J.C., Wolf C.A., Lombard J., Dolak T.M. (2018). Estimating milk yield and value losses from increased somatic cell count on US dairy farms. J. Dairy Sci, 101: 3588-3596.
- Hammami H., Rekik B., Gengler N. (2009). Genotype by environment interaction in dairy cattle. Biotechnol. Agron. Soc. Eviron. 13: 155-164.
- Hammami H., Vandenplas J., Vanrobays M.L., Rekik B., Bastin C., Gengler N. (2015). Genetic analysis of heat stress effects on yield traits, udder health, and fatty acids of Walloon Holstein cows. J. Dairy Sci, 98: 4956-4968.
- Hay E.H., Roberts A. (2018). Genotype × prenatal and post-weaning nutritional environment interaction in a composite beef cattle breed using reaction norms and a multi-trait model. J. Anim. Sci., 96: 444-453.
- INSTITUTO BRASILEIRO DE ESTATÍSTICA E GEOGRAFIA – IBGE (2016) Produção pecuária municipal. Decision Support Systems, 44: 1-51.
- Ismael A., Strandberg E., Berglund B., Kargo M., Fogh A., Løvendahl P. (2016). Genotype by environment interaction for the interval from calving to first insemination with regard to calving month and geographic location in Holstein cows in Denmark and Sweden. J. Dairy Sci, 99: 5498-5507.
- Komisarek J., Kolenda M. (2016). The effect of DGAT1 polymorphism on milk production traits in dairy cows depending on environmental temperature. Turk J Vet Anim Sci, 40: 251-254.
- Loker S., Bastin C., Miglior F., Sewalem A., Schaeffer L.R., Jamrozik J., Ali A., Osborne V. (2012). Genetic and environmental relationships between body condition score and milk production traits in Canadian Holsteins. J. Dairy Sci, 95: 410-419.
- Meyer K. (2007). WOMBAT—A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). J. Zhejiang Univ. Sci. B, 8: 815-821.
- Miranda J.A., Pires A.V., Abreu L.R.A., Mota L.F.M., Silva M.A., Bonafé C.M., Lima H.J.D., Martins P.G.M.A. (2016). Sensitivity of breeding values for carcass traits of meat-type quail to changes in dietary (methionine + cystine):lysine ratio using reaction norm models. J Anim Breed Genet, 133: 463-475.
- Moreira R.P., Pinto L.F.B., Valloto A.A., Pedrosa V.B. (2019). Evaluation of genotype by environment interactions on milk production traits of Holstein cows in Southern Brazil. Asian-Australas J Anim Sci, 32: 459-466.
- Paula M.C.D., Martins E.N., Otávio L., Antonio C., Oliveira L.D., Valotto A.A., Gasparino E. (2008). Estimativas de parâmetros genéticos para produção e composição do leite de vacas da raça Holandesa no estado do Paraná. R. Bras. Zootec., 37: 824-828.
- Paula M.C.D., Martins E.N., Otávio L., Antonio C., Oliveira L.D., Valotto A.A., Ribas N.P. (2009) Interação genótipo × ambiente para produção de leite de bovinos da raça Holandesa entre bacias leiteiras no estado do Paraná. R. Bras. Zootec. 38: 467-473.
- Pegolo N.T., Albuquerque L.G., Lôbo R.B., de Oliveira H.N. (2011). Effects of sex and age on genotype × environment interaction for beef cattle body weight studied using reaction norm models1. J. Anim. Sci., 89: 3410-3425.
- Rauw W.M., Gomez-Raya L. (2015). Genotype by environment interaction and breeding for robustness in livestock. Front Genet, 6: 1-15.
- Robertson A. (1959). Experimental Design on the mensuarement of heritabilities and genetic correlations. In Book Experimental Design on the mensuarement of heritabilities and genetic correlations. 15: 219-226.
- SAS INSTITUTE Inc. (2013). SAS 9.1.3 Help and Documentation. Cary: ADABAS
- Schaeffer L.R. (2004). Application of random regression models in animal breeding. Livest. Prod. Sci., 86: 35-45.
- SECRETARIA DA AGRICULTURA D DO ABASTECIMENTO – SEAB. (2000). Caracterização da Bovinocultura de Leite no Estado do Paraná. 80.
- Streit M., Reinhardt F., Thaller G., Bennewitz J. (2012) Reaction norms and genotype-by-environment interaction in the German Holstein dairy cattle. J Anim Breed Genet, 129: 380-389.
- Telles T.S., Bacchi M.D., Shimizu J. (2017). Distribuição espacial de microrregiões especializadas na produção de leite. Semina: Ciênc. Agrár., 38: 443-453.
- Tiezzi F., de los Campos G., Parker Gaddis K.L., Maltecca C. (2017). Genotype by environment (climate) interaction improves genomic prediction for production traits in US Holstein cattle. J Dairy Sci, 100: 2042-2056.
- van der Veen A.A., Napel J., Oosting S.J., Bontsema J., Zijpp A.J.V.D. (2009). Robust performance : principles and potential applications in livestock production systems. EFITA, 1:173-180.
- Yano M., Shimadzu H., Endo T. (2014). Modelling temperature effects on milk production : a study on Holstein cows at a Japanese farm. SpringerPlus, 3: 1-11.
Language: English
Page range: 1101 - 1112
Submitted on: Oct 28, 2019
Accepted on: Mar 10, 2020
Published on: Aug 1, 2020
Published by: National Research Institute of Animal Production
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Related subjects:
© 2020 Henrique Alberto Mulim, Luis Fernando Batista Pinto, Aline Zampar, Gerson Barreto Mourão, Altair Antônio Valloto, Victor Breno Pedrosa, published by National Research Institute of Animal Production
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.