scholarly journals CORRELATION ANALYSIS BETWEEN MYOSTATIN GENE POLYMORPHISMS AND CARCASS TRAITS IN NEW ZEALAND ROMNEY SHEEP

2015 ◽  
Vol 44 (2) ◽  
pp. 189-204 ◽  
Author(s):  
A. IBRAHIM ◽  
J. HICKFORD
2021 ◽  
Vol 31 (1) ◽  
pp. 37
Author(s):  
Peni Wahyu Prihandini ◽  
D N H Hariyono ◽  
Y A Tribudi

<p>Growth and carcass traits are of economic importances in livestock breeding, because they affect the profitability of animal production. The phenotypic expression of these traits is controlled by multiple genes (polygenes), such as myostatin (MSTN) gene. This paper aims to discuss the expression, polymorphism and potential application of MSTN gene as a marker-assisted selection (MAS) for growth and carcass traits in beef cattle based on data from published studies. MSTN gene or known as growth and differentiation factor 8 (GDF8) is a member of the transforming growth factor-β (TGF-β) superfamily, which acts as a negative regulator of skeletal muscle mass deposition. Several published studies showed that mutations in the MSTN gene can inhibit the activation of myostatin, which leads to an increased muscle mass (hypertrophy). Several <em>MSTN</em> gene polymorphisms were reported to be associated with growth and carcass traits in local cattle in several countries, including Indonesia, namely Bali cattle. Based on several assumptions: 1) there is MTSN gene polymorphisms in a population, 2) there is a significant association between MSTN gene polymorphisms and growth and carcass traits, as reported in several beef cattle populations and 3) those cattle with superior genotype have better growth performances, we expect that there will be improvement in growth performances in the future if those cattle are selected. Understanding MSTN gene polymorphisms would be useful to make strategies for the genetic improvement for growth and carcass traits of local cattle.</p>


2012 ◽  
Vol 34 (7) ◽  
pp. 872-878 ◽  
Author(s):  
Fan YANG ◽  
Qiong-Ping WANG ◽  
Kan HE ◽  
Ming-Hui WANG ◽  
Yu-Chun PAN

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1447
Author(s):  
Ishaku L. Haruna ◽  
Yunhai Li ◽  
Ugonna J. Ekegbu ◽  
Hamed Amirpour-Najafabadi ◽  
Huitong Zhou ◽  
...  

The myostatin gene (MSTN), which encodes the protein myostatin, is pleiotropic, and its expression has been associated with both increased and decreased adipogenesis and increased skeletal muscle mass in animals. In this study, the polymerase chain reaction, coupled with single strand conformation polymorphism analysis, was utilized to reveal nucleotide sequence variation in bovine MSTN in 410 New Zealand (NZ) Holstein-Friesian × Jersey (HF × J)-cross cows. These cows ranged from 3 to 9 years of age and over the time studied, produced an average 22.53 ± 2.18 L of milk per day, with an average milk fat content of 4.94 ± 0.17% and average milk protein content of 4.03 ± 0.10%. Analysis of a 406-bp amplicon from the intron 1 region, revealed five nucleotide sequence variants (A–E) that contained seven nucleotide substitutions. Using general linear mixed-effect model analyses the AD genotype was associated with reduced C10:0, C12:0, and C12:1 levels when compared to levels in cows with the AA genotype. These associations in NZ HF × J cross cows are novel, and they suggest that this variation in bovine MSTN could be explored for increasing the amount of milk unsaturated fatty acid and decreasing the amount of saturated fatty acid.


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

2012 ◽  
Vol 28 (4) ◽  
pp. 855-861 ◽  
Author(s):  
D.M. Ogah

In this study, canonical correlation analysis was applied to estimate the relationship between body measurements and carcass traits of 28 male cross bred rabbits of about 12 weeks of age, reared under semi intensive system. Four body measurements, pre-slaughter weight (PSW) , body length (BL), chest circumference (CC), and ear length (EL) as predictor variable while dressing percentage ( DP) , hot carcass weight (HCW) and cold carcass weight (CCW) as criterion variables. Pre-slaughter weight and body length had significant (P<0.001) simple correlation coefficients with the carcass traits except for dressing percentage. The three canonical variate pairs ranged between .99 to .42 and only the first pair was significant (P<0.001). From the analysis pre-slaughter weight and body length can be regarded as the main factors as live measurement traits, while dressing percentage did not have pronounced effect on the emerged criterion variables.


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

Gene ◽  
2020 ◽  
Vol 740 ◽  
pp. 144400 ◽  
Author(s):  
Ishaku L. Haruna ◽  
Ugonna J. Ekegbu ◽  
Farman Ullah ◽  
Hamed Amirpour-Najafabadi ◽  
Huitong Zhou ◽  
...  

2013 ◽  
Vol 40 (11) ◽  
pp. 6379-6384 ◽  
Author(s):  
J. Han ◽  
R. H. Forrest ◽  
J. G. H. Hickford

1984 ◽  
Vol 39 (3) ◽  
pp. 371-382 ◽  
Author(s):  
R. L. Baker ◽  
B. W. Wickham ◽  
C. A. Morris

ABSTRACTFour central performance tests of growth in Hereford bulls from about 10 to 19 months of age on pasture were conducted in New Zealand. From the 100 bulls performance tested 63 were representatively sampled, including bulls with high and low performance test rankings, and progeny tested in dairy herds. Crossbred progeny were purchased from the dairy herds at 3 to 4 months of age, assembled in one location and reared together on pasture for 14 to 15 months prior to slaughter. Regressions of progeny growth and carcass traits on a number of different performance traits for growth of their sires were in almost all cases not statistically significant. The effective heritability, from offspring-sire regression, was 0·07 (s.e. 0·05) for final live weight and 009 (s.e. 0·06) for post weaning gain from about 200 to 550 days of age. It is concluded that central performance tests, as presently conducted in New Zealand, are of limited value for ranking breeding values of bulls for growth. Possible reasons for these results are discussed. It is suggested that pre-test environmental effects and age at the start of the central test are critical factors.


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