Effect of an elevated monounsaturated fat diet on pork carcass and meat quality traits and tissue fatty acid composition from York-crossed barrows and gilts

Meat Science ◽  
2011 ◽  
Vol 89 (4) ◽  
pp. 419-425 ◽  
Author(s):  
G. Mas ◽  
M. Llavall ◽  
D. Coll ◽  
R. Roca ◽  
I. Díaz ◽  
...  
Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1062
Author(s):  
Bryan Irvine Lopez ◽  
Kier Gumangan Santiago ◽  
Donghui Lee ◽  
Younggyu Cho ◽  
Dajeong Lim ◽  
...  

Meat quality and carcass characteristics have gained the attention of breeders due to their increasing economic value. Thus, this study investigated the genomic prediction efficiencies of genomic best linear unbiased prediction (GBLUP) and single-step GBLUP (ssGBLUP) for traits associated with meat quality, sensory characteristics, and fatty-acid composition. A total of 1237 Duroc finishing pigs with 654 individuals genotyped using the Illumina Porcine SNP 60k marker panel were used in this study. Prediction accuracy and bias for GBLUP and ssGBLUP were evaluated using a five-replicates of five-fold cross-validation. Estimation of genetic parameters for traits associated with meat quality, including lightness, yellowness, redness, pH at 24 h post-mortem, moisture content, fat content, water-holding capacity, cooking loss except for shear force (0.19), as well as fatty-acid composition (palmitic, stearic, oleic, linoleic, and linolenic fatty acids), revealed moderate to high heritability estimates ranging from 0.25 to 0.72 and 0.27 to 0.50, respectively, whereas all traits related to sensory characteristics (color, flavor, tenderness, juiciness, and palatability) showed low heritability estimates ranging from 0.08 to 0.14. Meanwhile, assessment of genomic prediction accuracy revealed that ssGBLUP exhibited higher prediction accuracy than GBLUP for meat quality traits, fatty-acid composition, and sensory characteristics, with percentage improvements ranging from 1.90% to 56.07%, 0.73% to 23.21%, and 0.88% to 11.85%, respectively. In terms of prediction bias, ssGBLUP showed less bias estimates than GBLUP for the majority of traits related to meat quality traits, sensory characteristics, and fatty-acid composition of Duroc meat. In this study, ssGBLUP outperformed GBLUP in terms of prediction accuracy and bias for the majority of traits. Through selection and breeding, our findings could be used to promote meat production with improved nutritional value.


2009 ◽  
Vol 120 (1-2) ◽  
pp. 96-102 ◽  
Author(s):  
D.H. Kim ◽  
P.N. Seong ◽  
S.H. Cho ◽  
J.H. Kim ◽  
J.M. Lee ◽  
...  

animal ◽  
2020 ◽  
Vol 14 (9) ◽  
pp. 1969-1975 ◽  
Author(s):  
M. Banaszak ◽  
J. Kuźniacka ◽  
J. Biesek ◽  
G. Maiorano ◽  
M. Adamski

Nutrition ◽  
2018 ◽  
Vol 54 ◽  
pp. 153-157 ◽  
Author(s):  
Frej Stilling ◽  
Alicja Wolk ◽  
Dorota Religa ◽  
Jerzy Leppert ◽  
Leif Bergkvist ◽  
...  

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