scholarly journals Genetic parameters for productive life traits and reproductive efficiency traits at 6 years in Nellore cattle

2008 ◽  
Vol 7 (4) ◽  
pp. 1312-1318 ◽  
Author(s):  
J.C.C. Balieiro ◽  
J.P. Eler ◽  
J.B.S. Ferraz ◽  
E.C. Mattos ◽  
C.C. Balieiro
2009 ◽  
Vol 89 (2) ◽  
pp. 215-218 ◽  
Author(s):  
A. Wolc ◽  
G. Torzynski ◽  
T. Szwaczkowski

Reproductive efficiency is an important issue in horse breeding. However, almost no estimates of genetic parameters of reproductive traits in horses can be found in the literature. The objective of the study was to estimate heritability and genetic trends of foaling rate and number of reproductive seasons in Warmblood horses. The records of 3965 mares from six studs were analyzed. Mares were on average kept for 7.3 reproductive seasons with a foaling rate of 66%. Models included fixed effects of stud, period of birth, breed and random additive genetic effect. Heritability estimates were 0.12 for foaling rate and 0.17 for number of reproductive seasons. Key words: Heritability, reproduction, horse


2005 ◽  
Vol 2005 ◽  
pp. 126-126
Author(s):  
A. Abdolmohammadi ◽  
M. Moradi Shahrebabak ◽  
S. R. M. Ashtiani

Improvement of longevity by direct selection of sires based on theirs daughters’ longevity measures is impractical because of a low heritability and generation intervals prolonged by waiting until all cows complete their productive life. As an alternative to direct evaluation of sires for longevity is indirect prediction from genetically correlated production traits measures in the first lactation. The objectives this study were 1) to estimate genetic parameters of longevity and production traits 2) to examine relationships between longevity and first lactation milk production traits and 3) to determine selection index for sires’ longevity based on production traits.


2016 ◽  
Vol 15 (1) ◽  
Author(s):  
A.M. Maiorano ◽  
M.C.S. Oliveira ◽  
J.N.S.G. Cyrillo ◽  
L.G. Albuquerque ◽  
R.A. Curi ◽  
...  

Animals ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1185
Author(s):  
Laís Grigoletto ◽  
Miguel Henrique Almeida Santana ◽  
Fabiana Fernandes Bressan ◽  
Joanir Pereira Eler ◽  
Marcelo Fábio Gouveia Nogueira ◽  
...  

Reproductive efficiency plays a major role in the long-term sustainability of livestock industries and can be improved through genetic and genomic selection. This study aimed to estimate genetic parameters (heritability and genetic correlation) and identify genomic regions and candidate genes associated with anti-Müllerian hormone levels (AMH) and antral follicle populations measured after estrous synchronization (AFP) in Nellore cattle. The datasets included phenotypic records for 1099 and 289 Nellore females for AFP and AMH, respectively, high-density single nucleotide polymorphism (SNP) genotypes for 944 animals, and 4129 individuals in the pedigree. The heritability estimates for AMH and AFP were 0.28 ± 0.07 and 0.30 ± 0.09, and the traits were highly and positively genetically correlated (rG = 0.81 ± 0.02). These findings indicated that these traits can be improved through selective breeding, and substantial indirect genetic gains are expected by selecting for only one of the two traits. A total of 31 genomic regions were shown to be associated with AMH or AFP, and two genomic regions located on BTA1 (64.9–65.0 Mb and 109.1–109.2 Mb) overlapped between the traits. Various candidate genes were identified to be potentially linked to important biological processes such as ovulation, tissue remodeling, and the immune system. Our findings support the use of AMH and AFP as indicator traits to genetically improve fertility rates in Nellore cattle and identify better oocyte donors.


2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 174-174
Author(s):  
U. Noppibool ◽  
M. A. Elzo ◽  
S. Koonawootrittriron ◽  
T. Suwanasopee

2022 ◽  
Vol 54 (1) ◽  
Author(s):  
B. S. Marestone ◽  
R. A. A. Torres Junior ◽  
L. O. C. Silva ◽  
G. R. O. Menezes ◽  
C. A. S. D. Muniz ◽  
...  

animal ◽  
2012 ◽  
Vol 6 (1) ◽  
pp. 36-40 ◽  
Author(s):  
D. Barrozo ◽  
M.E. Buzanskas ◽  
J.A. Oliveira ◽  
D.P. Munari ◽  
H.H.R. Neves ◽  
...  

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