Genetic markers on BTA14 predictive for residual feed intake in beef steers and their effects on carcass and meat quality traits

2012 ◽  
Vol 43 (5) ◽  
pp. 599-603 ◽  
Author(s):  
A. K. Lindholm-Perry ◽  
L. A. Kuehn ◽  
W. M. Snelling ◽  
T. P. L. Smith ◽  
C. L. Ferrell ◽  
...  
Meat Science ◽  
2010 ◽  
Vol 84 (4) ◽  
pp. 645-650 ◽  
Author(s):  
B. Fan ◽  
S. Lkhagvadorj ◽  
W. Cai ◽  
J. Young ◽  
R.M. Smith ◽  
...  

Meat Science ◽  
2018 ◽  
Vol 137 ◽  
pp. 265-274 ◽  
Author(s):  
Justyna Horodyska ◽  
Michael Oster ◽  
Henry Reyer ◽  
Anne Maria Mullen ◽  
Peadar G. Lawlor ◽  
...  

2011 ◽  
Vol 89 (4) ◽  
pp. 996-1010 ◽  
Author(s):  
L. Lefaucheur ◽  
B. Lebret ◽  
P. Ecolan ◽  
I. Louveau ◽  
M. Damon ◽  
...  

Animals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2977
Author(s):  
Chotima Poompramun ◽  
Christelle Hennequet-Antier ◽  
Kanjana Thumanu ◽  
Panpradub Sinpru ◽  
Saknarin Pengsanthia ◽  
...  

Here, molecular pathways and genes involved in the feed efficiency (FE) and thigh-meat quality of slow-growing Korat chickens were investigated. Individual feed intake values and body weights were collected weekly to the calculate feed conversion ratios (FCR) and residual feed intake. The biochemical composition and meat quality parameters were also measured. On the basis of extreme FCR values at 10 weeks of age, 9 and 12 birds from the high and the low FCR groups, respectively, were selected, and their transcriptomes were investigated using the 8 × 60 K Agilent chicken microarray. A weighted gene co-expression network analysis was performed to determine the correlations between co-expressed gene modules and FE, thigh-meat quality, or both. Groups of birds with different FE values also had different nucleotide, lipid, and protein contents in their thigh muscles. In total, 38 modules of co-expressed genes were identified, and 12 were correlated with FE and some meat quality traits. A functional analysis highlighted several enriched functions, such as biological processes, metabolic processes, nucleotide metabolism, and immune responses. Several molecular factors were involved in the interactions between FE and meat quality, including the assembly competence domain, baculoviral IAP repeat containing 5, cytochrome c oxidase assembly factor 3, and myosin light chain 9 genes.


2009 ◽  
Vol 49 (12) ◽  
pp. 1080 ◽  
Author(s):  
N. M. Fogarty ◽  
E. Safari ◽  
S. I. Mortimer ◽  
J. C. Greeff ◽  
S. Hatcher

The feed intake of 1279 mature non-pregnant and non-lactating Merino ewes grazing pasture was estimated by faecal marker dilution methods using rumen controlled-release devices containing chromium sesquioxide capsules. The ewes were from two genetic resource flocks (QPLU$ flock at Trangie in NSW and a Western Australia flock at Katanning) that are representative of the major bloodlines and strains in the Australian Merino population. Pedigree information over several generations was used to genetically link other animals from the resource flocks that had additional production data to allow estimation of genetic correlations between feed intake and production traits with greater accuracy. Data were available for over 16 000 records for growth, wool and reproduction traits from the ewes and their relatives, together with carcass and meat quality traits from over 4000 rams that were slaughtered at ~18 months of age. Feed intake of the ewes was significantly affected by the reproductive status of the ewes at their previous lambing and feed intake, expressed as relative digestible dry matter intake (rDDMI), had an estimated heritability of 0.32 ± 0.08. The genetic correlations between rDDMI and growth traits were positive and larger than their standard error for birth (0.24 ± 0.12) and hogget (0.20 ± 0.09) weight, although inclusion of ewe liveweight as a covariate in the model reduced the correlations to close to zero. Generally, the genetic correlations between rDDMI and the wool, reproduction, carcass and meat quality traits were close to zero and smaller than their standard errors, with little effect of including ewe liveweight as a covariate. The results suggest that feed requirements of ewes could be reduced by selection, although ewe weight and growth would also decline unless accounted for in the model. Practical and cost effective methods of measurement of intake under grazing conditions need to be developed.


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