Results 21 to 30 of about 877,661 (218)

Fixed effects in models for the genetic evaluation of backfat thickness and time on test in gilts

Italian Journal of Animal Science, 2010
Fixed effects in the model for backfat thickness and the time on test were evaluated. Data records from large scale farm in period from January 1998 to December 2007 were analyzed. Two models were developed.
Zoran Luković, Dragutin Vincek, Dubravko Škorput   +2 more
doaj   +2 more sources

Haplotypes of the porcine peroxisome proliferator-activated receptor delta gene are associated with backfat thickness [PDF]

BMC Genetics, 2009
Background Peroxisome proliferator-activated receptor delta belongs to the nuclear receptor superfamily of ligand-inducible transcription factors. It is a key regulator of lipid metabolism. The peroxisome proliferator-activated receptor delta gene (PPARD)
Blöcker Helmut, Severitt Simone, Scharfe Maren, Schwarzenbacher Hermann, Meidtner Karina, Fries Ruedi   +5 more
doaj   +2 more sources

Live animal ultrasonic evaluation of backfat thickness and loin-eye [PDF]

Kansas Agricultural Experiment Station Research Reports, 1986
Determination of backfat thickness and loin-eye area in swine is essential for continued genetic progress, and ultimately, pork product acceptance. Leaner, faster growing boars and gilts must be provided by seedstock suppliers to the commercial swine ...
Jim L Nelssen, Turlington, L M, L M Turlington, Dell M Allen, Allen, Dell M, Corah, L R, Turlington, L.M., Nelssen, Jim L, Allen, Dell M., Corah, L.R., Nelssen, Jim L., L R Corah   +11 more
core   +3 more sources

Oxidative Stress and Inflammation in Sows with Excess Backfat: Up-Regulated Cytokine Expression and Elevated Oxidative Stress Biomarkers in Placenta

Animals, 2019
In sows, excess backfat during late gestation is associated with increased farrowing difficulties and influences the fetus, but the impact of backfat thickness on placental inflammation, oxidative stress, and vascular development has not been defined. In
Yuanfei Zhou, Tao Xu, Yinghui Wu, Hongkui Wei, Jian Peng   +4 more
doaj   +2 more sources

Experimental Study on the Effects of a Novel Intelligent Wet Feed System on Sow Feeding Behavior, Backfat Thickness, and Piglet Growth [PDF]

Agriculture
A novel intelligent wet feed system was designed to accurately match the dynamic nutritional requirements of lactating sows. An experimental study was conducted to compare the performance of this novel feeding system with the traditional manual feeding ...
Zhixiong Zeng, Qiangzong Deng, Guoxing Chen, Jingjing Xia, Weijia Lin, Zongci Ma, Enli Lyu   +6 more
doaj   +2 more sources

Multi-Omics Integration Identifies ABCD4 as a Key Regulator of Backfat Thickness and Lipid Deposition in Pietrain Pigs. [PDF]

Anim Genet
Zhan Q, Xie H, Han H, Zhang Z, Wei R, Li H, Zhao W, Feng B, Hou X, Wang J, He Y, Fu Y, Guo X, Pan Y, Cao C, Zhang Z.   +15 more
europepmc   +3 more sources

Dietary Green Alfalfa Supplementation Reduces Backfat Thickness and Improves Muscle Water-Holding Capacity in Diqing Tibetan Pigs. [PDF]

Foods
Huang H, Li X, Zhang K, Liang B, Bai S, Dong X, Yan D.   +6 more
europepmc   +2 more sources

Genome-Wide Profiling of the Microrna Transcriptome Regulatory Network to Identify Putative Candidate Genes Associated with Backfat Deposition in Pigs

Animals, 2019
Backfat deposition is strongly related to carcass traits, growth rate, feed conversion rate, and reproductive performance in pig production. To understand the molecular mechanisms underlying porcine backfat thickness phenotypes, transcriptome and miRNA ...
Xin Liu, Jianfei Gong, Ligang Wang, Xinhua Hou, Hongmei Gao, Hua Yan, Fuping Zhao, Longchao Zhang, Lixian Wang   +8 more
doaj   +2 more sources

Identifying pleiotropic genes for backfat thickness and semen traits in pigs using GWAS summary data. [PDF]

J Anim Sci
Yang Y, Cai X, Ning W, Chen J, Zhang H, Zhang W, Teng J, Gao Y.   +7 more
europepmc   +2 more sources

Multi-omics integration reveals Chr1 associated QTL mediating backfat thickness in pigs. [PDF]

J Anim Sci Biotechnol
Yu N, Cui D, Li C, Yang S, Qiao C, Xie L.   +5 more
europepmc   +3 more sources