scholarly journals Association of ADIPOQ , OLR1 and PPARGC1A gene polymorphisms with growth and carcass traits in Nelore cattle

Meta Gene ◽  
2015 ◽  
Vol 4 ◽  
pp. 1-7 ◽  
Author(s):  
Patrícia D. da S. Fonseca ◽  
Fábio R.P. de Souza ◽  
Gregório M.F. de Camargo ◽  
Fernanda M.M. Gil ◽  
Diercles F. Cardoso ◽  
...  
2012 ◽  
Vol 34 (7) ◽  
pp. 872-878 ◽  
Author(s):  
Fan YANG ◽  
Qiong-Ping WANG ◽  
Kan HE ◽  
Ming-Hui WANG ◽  
Yu-Chun PAN

2018 ◽  
Vol 59 (5) ◽  
pp. 604-607 ◽  
Author(s):  
H. G. Mao ◽  
H. Y. Cao ◽  
H. H. Liu ◽  
X. Y. Dong ◽  
N. Y. Xu ◽  
...  

2019 ◽  
Vol 99 (2) ◽  
pp. 296-306
Author(s):  
Daniel Duarte da Silveira ◽  
Lucas De Vargas ◽  
Rodrigo Junqueira Pereira ◽  
Gabriel Soares Campos ◽  
Ricardo Zambarda Vaz ◽  
...  

The aim of this study was to evaluate the genetic variability, genetic and phenotypic associations, and genetic gains of birth (BW), weaning (WW), and yearling (YW) weights, loin muscle area (LMA), backfat thickness (BF), rump fat thickness (RF), scores of body structure (BS), finishing precocity (FS), and muscling (MS) in Nelore cattle. Genetic parameters were obtained through Bayesian inference using BLUPF90 programs. All studied traits showed genetic variability, with heritability ranging from 0.29 to 0.47. In all studied ages, weights presented positive genetic correlations with LMA (ranging from 0.13 to 0.53), being generally stronger in comparison with the other carcass traits analyzed (BF and RF). Similarly, weights were higher genetic associated with BS (0.47–0.92) than with FS (0.18–0.62) and MS (0.22–0.65), respectively. The BF and RF showed positive and moderate genetic associations with FS and MS (0.31–0.36). Genetic trends were significant (P < 0.05) and favorable for WW, YW, and visual scores. Selection for increasing BW, WW, YW, and LMA will result in modest or no change in BF and RF (correlated response ranging from −0.04 to 0.07 mm per generation). In this population, carcass traits must be included in the selection indexes to obtain genetic gains in carcass quality, if desired.


2011 ◽  
Vol 10 (6) ◽  
pp. 704-708 ◽  
Author(s):  
Huadong Yin ◽  
Zhichao Zhang ◽  
Xi Lan ◽  
Xiaoling Zhao ◽  
Yan Wang ◽  
...  

2014 ◽  
Vol 86 (2) ◽  
pp. 125-131 ◽  
Author(s):  
Hikaru Nakano ◽  
Shuji Sato ◽  
Yoshinobu Uemoto ◽  
Takashi Kikuchi ◽  
Tomoya Shibata ◽  
...  

2020 ◽  
Vol 48 (2) ◽  
pp. 33-38
Author(s):  
Mako Sato ◽  
Hiromi Hara ◽  
Kei Hanzawa ◽  
Takashi Hirano

2021 ◽  
Vol 92 (1) ◽  
Author(s):  
Daniel Duarte Silveira ◽  
Patrícia Iana Schmidt ◽  
Gabriel Soares Campos ◽  
Lucas Vargas ◽  
Fabio Ricardo Pablos Souza ◽  
...  

2016 ◽  
Vol 88 (3) ◽  
pp. 433-438 ◽  
Author(s):  
Fuki Kawaguchi ◽  
Kazuki Okura ◽  
Kenji Oyama ◽  
Hideyuki Mannen ◽  
Shinji Sasazaki

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Yu-Guang Zhou ◽  
Yong Xiong ◽  
Chao-Wu Yang ◽  
Xiao-Song Jiang ◽  
Jin-Shan Ran ◽  
...  

The micromolar calcium activated neutral protease (CAPN1) and calpastatin (CAST) have been widely regarded as genes related to muscle growth and meat tenderness. The objective of this study was to verify the association of SNPs of CAPN1 and CAST genes with carcass and tenderness traits and search the possible change patterns of SNPs in CAPN1 and CAST genes in six generations of broiler breeding process for growth rate, efficiency, and reproduction, during the third generation and the ninth generation, respectively. We found that, for CAPN1, genetic effects between SNPs (G3535A, C7198A) and meat tenderness were similar in different generations, while SNP3 (G7324A) was a novel polymorphism and had significant association with carcass and tenderness traits (P<0.05) in this study. Furthermore, there was significant association between SNP4 (G9950A) and carcass indexes instead of tenderness traits (P<0.05) which was consistent in the two generations. Moreover, although SNP6 (G37868A) of CAST had no relevance to carcass traits or tenderness traits in the third generation, it showed significant association with LW and CW in the ninth generation (P<0.05).


BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Bárbara Silva-Vignato ◽  
Luiz L. Coutinho ◽  
Mirele D. Poleti ◽  
Aline S. M. Cesar ◽  
Cristina T. Moncau ◽  
...  

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