Investigation of genotype × production environment interaction for weaning weight in the Santa Gertrudis breed in Australia

1997 ◽  
Vol 48 (1) ◽  
pp. 1 ◽  
Author(s):  
M. J. Bradfield ◽  
H-U. Graser ◽  
D. J. Johnston
Keyword(s):  
Genetic Correlation ◽  
Variance Components ◽  
Environment Interaction ◽  
Maximum Likelihood Analysis ◽  
Production Environment ◽  
Weaning Weight ◽  
Additive Genetic Correlation ◽  
Contemporary Group ◽  
Production Environments ◽  
Likelihood Analysis

Weaning weight records of 12 563 Santa Gertrudis calves were used to estimate (co)variance components using a bivariate restricted maximum likelihood analysis. The analysis considered measurements on animals born in favourable production environments as Trait 1 and animals born in unfavourable production environments as Trait 2. Estimates of variance components for weaning weight across production environments were similar in magnitude. An additive genetic correlation of 0·64 between production environments was significantly different from unity, suggesting that there was a genotype production environment interaction. However, when a sire contemporary group interaction effect was included in the model, the genetic correlation between Trait 1 and Trait 2 was not significantly different from unity. These results suggest that the ranking of Santa Gertrudis sires across production environments was caused by changes in ranking from one contemporary group to the next rather than changes in ranking across production environments.

Animal x testing environment interaction on postweaning liveweight gains of young bulls

1998 ◽  
Vol 49 (4) ◽  
pp. 607 ◽  
Author(s):  
S. J. Schoeman ◽  
G. G. Jordaan
Keyword(s):  
Maximum Likelihood ◽  
Genetic Correlation ◽  
Variance Components ◽  
Restricted Maximum Likelihood ◽  
Animal Breeding ◽  
Environment Interaction ◽  
Maximum Likelihood Analysis ◽  
Breeding Values ◽  
Testing Environment ◽  
Likelihood Analysis

Postweaning liveweight gain records of 1610 young bulls obtained both in feedlot and under pasture were used to estimate (co)variance components using a multivariate restricted maximum likelihood analysis. The pedigree file included 3477 animals. Heritability estimates for liveweights and gain in both environments correspond to most previously reported estimates. The genetic correlation of gain between the 2 environments was -0·12, suggesting a large genotype testing environment interaction and re-ranking of animal breeding values across environments. Results of this analysis suggest the need for environment-specific breeding values for postweaning gain.

Breeding strategies for the development of the Australian beef industry: an overview

2006 ◽  
Vol 46 (2) ◽  
pp. 183 ◽  
Author(s):  
K. Hammond
Keyword(s):  
Genetic Improvement ◽  
Genetic Material ◽  
Current Status ◽  
Research Centre ◽  
Progeny Testing ◽  
Environment Interaction ◽  
Production Environment ◽  
Cooperative Research ◽  
Beef Industry ◽  
Production Environments

Strategic directions for the period 2010 to 2020 and research and development needs are considered for the Australian Beef Industry from the breeding sector’s perspective. These are related to the way major technologies are developed for an industry, the current status and likely trends in market development and appropriation of benefits to the consumer, processor, commercial beef producer and breeding sectors. The primary strategic needs identified are: (i) understand the functional biology for the major production environments (supply chain packages), (ii) accelerate the speed of genetic improvement for production environment breeding goals based on commercial sector profitability and the dissemination of superior genetic material to this sector, and (iii) retain and develop the Beef Cooperative Research Centre concept over the period. Tactics for realising each strategy are considered. Rigorously designed industry-level studies based on a genotype × environment interaction approach, involving all major production environments and breeds, have an important role to play, as do the serial development of measuring equipment and procedures for carcass quality and yield, body maintenance, disease management and maternal performance. Information and communication, molecular genetics and artificial insemination technologies, along with formal progeny testing and an extended BREEDPLAN system, will be increasingly used by the breeding as well as commercial industry sectors to more consistently meet particular market demands. Carefully executed progeny testing is a pragmatic and necessary breeding approach for the period, serving a number of important purposes. The beef industry as a whole will need to take more responsibility for its genetic improvement element by: managing the appropriation of benefits across sectors, developing an increasingly effective system of value-based marketing and, for each sector and production environment, a more appropriate program of capacity building. The industry could now usefully consider the further development of its activity to address these longer-term strategic needs.

scholarly journals Genotype × country interaction for weaning weight in the Angus populations of Brazil and Uruguay

2011 ◽  
Vol 40 (3) ◽  
pp. 568-574 ◽  
Author(s):  
Ana Carolina Espasandin ◽  
Jorge Ignacio Urioste ◽  
Leonardo Talavera Campos ◽  
Maurício Mello de Alencar
Keyword(s):  
Fixed Effects ◽  
Environment Interaction ◽  
Month Of Birth ◽  
Weaning Weight ◽  
Additive Genetic Correlation ◽  
Genotype Environment Interaction ◽  
The One ◽  
Genetic Evaluations ◽  
Moderate Magnitude ◽  
Country Effect

It was analyzed the existence of genotype × environment interaction for weaning weight in populations of Angus from Brazil and Uruguay by using records of 73,205 animals (10,257 from Uruguay and 62,948 from Brazil) belonging to 33 and 161 farms and 13 and 34 regions in Uruguay and Brazil, respectively. It was used the one- and two-trait animal model analyses considering weight at weaning of each country as different characters. Coefficients of direct and maternal additive-genetic correlation estimated by two statistical models (including or not bull × country effect) Models included the fixed effects of contemporary group (herd-year and month of birth), sex of the calf, the covariates age of dam at calving (years) and age of calf at weaning (days), and the random effects genetic-additive maternal and direct, maternal permanent environment and residual. Herdabilidades (of direct effect) were similar in both countries and with moderate magnitude (0.35 and 0.15, respectively). Coeficients of correlation among maternal and direct genetic effects between Brazil and Uruguay were 0.77 and 0.13, respectively, and comparison among models (with and without bull × country effect) showed significant differences. Correlations among classifications (ranking of genetic values) of bulls with progenie in both countries ranged from 0.35 to 0.41 for estimations in one- and two-trait models, respectively. The results suggest the existence of genotype × environment interaction for weight at weaning of Angus populations between Brazil and Uruguay. There is a need of considering interaction in further international genetic evaluations of the breed.

Genotype×production environment interaction for weaning weight in Angus populations of Brazil and Uruguay

2013 ◽  
Vol 151 (2-3) ◽  
pp. 264-270 ◽  
Author(s):  
A.C. Espasandin ◽  
J.I. Urioste ◽  
H. Naya ◽  
M.M. Alencar
Keyword(s):  
Environment Interaction ◽  
Production Environment ◽  
Weaning Weight

Scope for genetic evaluation and selection of beef cattle for growth to weaning when birth dates are not recorded

1994 ◽  
Vol 45 (4) ◽  
pp. 819
Author(s):  
K Meyer ◽  
HU Graser
Keyword(s):  
Beef Cattle ◽  
Genetic Correlation ◽  
Western Australia ◽  
Variance Components ◽  
Genetic Parameters ◽  
Selection Criterion ◽  
Genetic Evaluation ◽  
Selection Experiment ◽  
Weaning Weight ◽  
Selection Of

Estimates of (co)variance components and genetic parameters were obtained for a preweaning weight, recorded between 2 and 5 months after birth, and the subsequent gain till weaning for two herds in a selection experiment in Western Australia. Analyses were carried out both accounting for age at weighing and assuming birth dates and thus ages were unknown. On adjusting for the interval between weighings, preweaning gain appeared to be independent of age and equally heritable to weaning weight. Estimates of the direct genetic correlation between preweaning gain and weaning weight (adjusted for age) were 0.9 or higher, while both genetic and permanent environmental maternal correlations were close to unity. Implications for the use of preweaning weight as an alternative selection criterion to weaning weight when birth dates are not recorded are discussed.

Genotype by environment interaction for yearling weight in Nellore cattle applying reaction norms models

2018 ◽  
Vol 58 (11) ◽  
pp. 1996
Author(s):  
S. Ribeiro ◽  
J. P. Eler ◽  
V. B. Pedrosa ◽  
G. J. M. Rosa ◽  
J. B. S. Ferraz ◽  
...  
Keyword(s):  
Genetic Correlation ◽  
Environmental Gradient ◽  
Genotype By Environment Interaction ◽  
Reaction Norms ◽  
Breeding Value ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Genotype Environment Interaction ◽  
Nellore Cattle ◽  
Gradient Variation

In the present study, a possible existence of genotype × environment interaction was verified for yearling weight in Nellore cattle, utilising a reaction norms model. Therefore, possible changes in the breeding value were evaluated for 46 032 animals, from three distinct herds, according to the environmental gradient variation of the different contemporary groups. Under a Bayesian approach, analyses were carried out utilising INTERGEN software resulting in solutions of contemporary groups dispersed in the environmental gradient from –90 to +100 kg. The estimates of heritability coefficients ranged from 0.19 to 0.63 through the environmental gradient and the genetic correlation between intercept and slope of the reaction norms was 0.76. The genetic correlation considering all animals of the herds in the environmental gradient ranged from 0.83 to 1.0, and the correlation between breeding values of bulls in different environments ranged from 0.79 to 1.0. The results showed no effect of genotype × environment interaction on yearling weight in the herds of this study. However, it is important to verify a possible influence of the genotype × environment in the genetic evaluation of beef cattle, as different environments might cause interference in gene expression and consequently difference in phenotypic response.

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