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

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.

1997 ◽  
Vol 48 (1) ◽  
pp. 1 ◽  
Author(s):  
M. J. Bradfield ◽  
H-U. Graser ◽  
D. J. Johnston

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.


Genetics ◽  
1972 ◽  
Vol 72 (4) ◽  
pp. 709-719
Author(s):  
Peter E Smouse ◽  
Ken-Ichi Kojima

ABSTRACT Statistical techniques are presented for the analysis of geographic variation in allelic frequencies. Likelihood ratio test criteria are derived from a multinominal sampling distribution, and are used to answer three questions. (1) Are there geographic differences in allelic frequencies? (2) Are population differences in allelic frequencies associated with environmental differences? (3) Is there any residual "lack of fit" variation among populations, after accounting for that variation associated with environmental differences? The two- and three-allele cases are explicitly treated, and the extension to more alleles is indicated.


2020 ◽  
pp. 1-11
Author(s):  
Shinichi Nakahara ◽  
Kaylin Kleckner ◽  
Gerardo Lamas ◽  
Blanca Huertas ◽  
Keith R. Willmott

We here transfer an euptychiine taxon hitherto placed in the polyphyletic genus Magneuptychia Forster, 1964, to Caeruleuptychia Forster, 1964. Caeruleuptychia francisca (Butler, 1870), n. comb. is reclassified based on a morphology-based maximum likelihood analysis, which is consistent with ongoing analyses of molecular data. Two putative synapomorphic characters are identified for the “Caeruleuptychia umbrosa clade”, one of which appears to be an unusual characteristic of euptychiine butterflies and is tested by optimizing onto the maximum likelihood tree. We also discuss the systematic placement of three additional enigmatic Caeruleuptychia species. A lectotype is designated for Euptychia francisca, and the genitalia of this species are illustrated here for the first time.


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