Genetic parameters of growth traits in Cuban Zebu through the multi-trait animal model and reaction norm model
Article Sidebar
Main Article Content
Abstract
(13,068 data) were studied, in order to estimate genetic parameters and
environmental awareness of the weight at 18 months (P18) and (TDG)
of Cuban Zebu during the performance test for future sires. The animals
were born between 1981 and 2012 and were the offspring of 295 parents.
Multi-trait animal model allowed to obtain the solutions of fixed
effect of from the group of contemporaries, heritabilities and genetic
tendencies of P18 and trial daily gain TDG. Later, a reaction norm
model of sire type was considered, with the group of contemporaries
(herd-year-three-month period of animal birth) as fix effect the effect
of random regression of sire (cubic, square and linear Legendre polynomials)
through an environmental gradient, expressed as solution of
fix effect, so a total of 6 environmental classes were created. Estimated
values of heritability, through the animal model, were 0.20 ± 0.02 and
0.28 ± 0.02 for TDG and P18, respectively, with a genetic correlation
of 0.94 among them. Using the reaction norm model, the estimates
varied from 0.13±0.04 to 0.43±0.08, and the highest corresponded
to favorable environments or positive gradients. Correlation values,
very close to 1, indicate the non-existence of genotype x environment
interaction in most of the cases. However, there may be correlations
lower than 0.8 in the most unfavorable environment, which indicates
that sires selected in favorable environments may not have the same
performance after passing to unfavorable environments.
Key words: Performance test, genetic correlation, environmental
gradient
Article Details
Those authors that have publications with this journal accept the following terms:
1. They will retain their copyright and guarantee the journal the right of first publication of their work, which will be simultaneously subject to the License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) that allows third parties to share the work whenever its author is indicated and its first publication this journal. Under this license the author will be free of:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
2. The authors may adopt other non-exclusive license agreements to distribute the published version of the work (e.g., deposit it in an institutional telematics file or publish it in a monographic volume) whenever the initial publication is indicated in this journal.
3. The authors are allowed and recommended disseminating their work through the Internet (e.g. in institutional telematics archives or on their website) before and during the submission process, which can produce interesting exchanges and increase the citations of the published work. (See the Effect of open access).