Journal of Animal Behaviour and Biometeorology
https://jabbnet.com/article/doi/10.14269/2318-1265/jabb.v3n3p86-91
Journal of Animal Behaviour and Biometeorology
Review Article Open Access

Interaction of genotype-environment Nellore cattle using models of reaction

Wéverton José Lima Fonseca, Wéverson Lima Fonseca, Carlos Syllas Monteiro Luz, Gioto Ghiarone Terto e Sousa, Marcelo Richelly Alves de Oliveira, Karen Jamile Viana de Sousa, Mardoqueu Bruno Guimarães Costa, Augusto Matias de Oliveira, Severino Cavalcante de Sousa Júnior

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Abstract

The aim with this review was to approach the importance of the genotype-environment interaction of Nelore cattle by using reaction norms models. The beef cattle’s ranching has stood out as one of the main activities of the Brazilian agribusiness, inclusive in the international setting. One way to assess the genotype-environment interaction for various traits in beef cattle is the use of reaction norm models. The genotype’s reaction norm is the systematic change in average phenotypic expression in response to a change in the environmental variable, and describes the phenotype of an animal as an environmental continuous function and expresses the phenotype as polynomial function of the environmental value, wherein they are assumed to be under genetic influence. Thus, the reaction norm describes characteristics which gradually and continuously change on an environmental gradient, can thus be used to study the genotype-environment interaction.

Keywords

thermal comfort, nutrition, grazing time

References

Albuquerque LG, Meyer K (2001) Estimates of covariance functions for growth from birth to 630 days of age in Nelore cattle. Journal of Animal Science79: 2776-2789.

Alencar MM, Mascioli AS, Freitas AR (2005) Evidências de interação genótipo x ambiente sobre características de crescimento em bovinos de corte. Revista Brasileira de Zootecnia 34:489-495.

Ambrosini DP, Carneiro PLS, Neto JB, Malhado CHM, Martins Filho R, Cardoso FF (2012) Interação genótipo-ambiente para peso ao ano em bovinos Nelore Mocho no Nordeste do Brasil. Pesquisa agropecuária brasileira 47: 1489-1495.

Bertrand JK, Misztal I, Robbins KR (2006) Implementation of random regression models for large scale evaluations for growth in beef cattle. In: World Congress on Genetics Aplied to Livestock Production, 8., Belo Horizonte. Proceedings...Belo Horizonte.

Bohmanova J, Misztal I, Tsuruta S, Norman HD, Lawlor TJ (2008) Genotype by environment interaction dueto heat stress. Journal of Dairy Science 91: 840-846.

Boligon AA, Mercadante MEZ, Forni S, Lobo RB, Albuquerque LG (2010) Covariance functions for weights from birth to maturity in Nelore cows. Journal of Animal Science 88: 849-859.

Calus MPL, Janss LLG, Veerkamp RF (2006) Genotype by Environment Interaction for Somatic Cell Score Across Bulk Milk Somatic Cell Count and Days in Milk. Journal of Dairy Science89: 4846-4857.

Calus MPL, Veerkamp RF (2003) Estimation of environment sensitivity of genetic merit for milk production traits using random regression model. Journal of Dairy Science 86: 3756-3764.

Calus MPL, Windig JJ, Veerkamp RF (2005) Associations Among Descriptors of Herd Management and Phenotypic and Genetic Levels of Health and Fertility. Journal Dairy Science 88: 2178-2189.

Carvalho CVD, Bittencourt TCC, Lôbo RB, Pinto LFB, Nascimento MC (2013) Interação genótipo-ambiente sobre os pesos aos 205 e 365 dias de idade em bovinos da raça Nelore em diferentes regiões do Brasil. Revista Brasileira de Saúde Produção Animal 14: 10-20.

Carvalho FM (2007) Estudo de interação genótipo x ambiente para peso e perímetro escrotal à desmama na raça Canchim. Dissertação, Universidade Federal de São Carlos, São Carlos.

Corrêa MBB, Dionello NJL, Cardoso FF (2009) Caracterização da interação genótipo-ambiente e comparação entre modelos para ajuste do ganho pós-desmama de bovinos Devon via normas de reação. Revista Brasileira de Zootecnia38: 1468-1477.

De Jong G (1990) Quantitative genetics of reaction norms. Journal of evolutionary biology 3: 447-468.

De Jong G (1995) Phenotypic plasticity as a product of selection in a variable environment. American Naturalist, University of Chicago, USA 145: 493-512.

Diaz IPS, Oliveira HN, Bezerra LAF, Lôbo RB (2011) Genotype by environment interaction in Nelore cattle from five Brazilian states. Genetics and Molecular Biology 3: 23-27.

Espasandin AC, Urioste JI, Campos LT, Alencar MM (2011) Genotypecountry interaction for weaning weight in the Angus populations of Brazil and Uruguay. RevistaBrasileira de Zootecnia 40: 568-574.

Falcão AJS, Martins EM, Costa CN, Sakaguti SE, Mazucheli J (2006) Heteroscedasticidade entre Estados para produção de leite em vacas da raça Holandesa, usando métodos bayesianos via amostrador de Gibbs. Revista Brasileira de Zootecnia 35: 405-414.

Falconer DS, Mackay TFC (1996) Introduction to Quantitative Genetics.4a ed. Longman Group, Essex, UK.

Fikse WF, Rekaya R, Weigel KA (2003) Assessment of environment descriptors for studying genotype by environment interaction. Livestock Production Science 82: 223-231.

Kirkpatrick M, Heckman NA (1989) Quantitative genetic model for growth, shape and other infinite-dimensional characters. Journal of Mathematical Biology 27: 429-450.

Kirkpatrick M, Lofsvold D, Bulmer M (1990) Analysis of the inheritance, Selection and Evolution of Growth Trajectories. Genetics 4: 979-993.

Knap PW, Su G (2008) Genotype by environment interaction for litter size in pigs as quantified by reaction norms analysis. Animal 12: 1742-1747.

Kolmodin R, Bijima P (2004) Response to mass selection when the genotype to environment interaction is modeled as a linear reaction norm. Genetics Selection Evolution 36: 435-454.

Kolmodin R, Stramberg E, Madsen P, Jensen J, Jorjani H (2002) Genotype by environment interaction in Nordic dairy cattle studied using reaction norms. Acta Agriculture Scandinavia, Sect. A Animal Science, Oslo, Norway 52: 11-24.

Mascioli AS, Alencar MM, Freitas AR, Martins EM (2006) Estudo da interação genótipo × ambiente sobre características de crescimento de bovinos de corte utilizando Inferência Bayesiana. Revista Brasileira de Zootecnia 35: 2275-2284.

Mercadante MEZ, Packer IU, Razook AG, Melo CMR, Cyrillo JNS, Figueiredo LA (2002) Dias ao Parto de Fêmeas Nelore de um Experimento de Seleção para Crescimento. II - Modelo de Regressão Aleatória. Revista Brasileira de Zootecnia, Viçosa, MG 31: 1726-1733.

Meyer K (1998) Estimating covariance functions for longitudinal data using a random regression model. Genetics Selection Evolution, Paris, 30: 221-240.

Meyer K (2005) Random regression analyses using B-splines to model growth of Australian Angus cattle. Genetics Selection Evolution 37: 473-500.

Nepomuceno LL, Lira TSD, Lopes FB, Lôbo RB, Ferreira J L (2013) Interação genótipo-ambiente para características sob efeito maternal na raça Nelore nos estados do Maranhão, Mato Grosso e Pará. Revista Brasileira de Saúde e Produção Animal 14: 269-276.

Nobre PRC, Misztal I, Tsuruta S, Bertrand JK, Silva LOC, Lopes OS (2003) Analyses of growth curves of Nellore cattle by multiple-trait and random regression models. Journal of Animal Science 81:918-926.

Oseni S, Misztal I, Tsuruta S, Rekaya R (2004) Genetic Components of Days Open Under Heat Stress. Journal Dairy Science 87: 3022-3028.

Palharim DPD, Araújo CV, Bittencour TCBSC, Araújo SI, Lôbo RB, Bezerra LAF (2013) Estimativas de herdabilidade para o desempenho ponderal na raça Nelore no Mato Grosso.Scientific Electronic Archives 3: 59-62.

Pegolo NT, Oliveira HN, Albuquerque LG, Bezerra LAF, Lôbo RB (2009) Genotype by environment interaction for 450-day weight of Nelore cattle analyzed by reaction norm models. Genetics and Molecular Biology 32: 281-287.

Pessoa M.C (2011) Estudo do valor adaptativo anual de fêmeas da raça nelore utilizando modelos de regressão aleatória. Dissertação, Faculdade de CiênciasAgrárias e Veterinárias- UNESP.

Pollott GE, Greeff JC (2004) Genotype x environment interactions and genetic parameters or fecal egg count and production traits of Merino sheep. Journal of Animal Science 82: 2840-2851.

Robbins KR, Misztal I, Bertrand JK (2005) A practical longitudinal model for evaluating growth in Gelbvieh cattle. J. Anim. Sci 83: 29-33.

Simonelli SM (2004) Heterogeneidade de variâncias e interação genótipo x ambiente no desempenho de animais Nelore em diferentes regiões do Estado do Mato Grosso do Sul. Tese,Universidade Estadual de Maringá.

Sousa Júnior SC, Oliveira SMP, Albuquerque LG, Boligon AA, Filho RM (2010) Estimação de funções de covariância para características de crescimento da raça Tabapuã utilizando modelos de regressão aleatória. Revista Brasileira de Zootecnia 39: 1037-1045.

Strandberg E, Brotherstone S, Wall E, Coffey MP (2009) Genotype by environment interaction for first-lactation female fertility traits in UK dairy cattle. Journal Dairy Science 92: 3437-3446.

Toral FLB, Silva LOC, Martins EM, Godo A, Simonelli SM (2004) Interação genótipo x ambiente em características de crescimento de bovinos da raça nelore no Mato Grosso do Sul. Revista Brasileira de Zootecnia 33: 1445-1455.

Valente BD, Silva MA, Silva LOC, Bergmann JAG, Pereira JCC, Fridrich AB, Ferreira IC, Corrêa GSS (2008) Estruturas de covariância de peso em função da idade de animais Nelore das regiões Sudeste e Centro-Oeste do Brasil. Arquivo Brasileiro de Medicina veterinária e Zootecnia 60: 389-400.

Van Der Werf J, Schaeffer L (1997) Random regression in animal breeding. Ontario: University of Guelph. p.70

Windig JJ, Calus M, Beerda B, Veerkamp RF (2006) Genetic correlations between milk production and health and fertility depending on herd environment. Journal Dairy Science 89: 1765-1775.


Submitted date:
04/15/2015

Reviewed date:
06/24/2015

Accepted date:
06/24/2015

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