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Journal of Animal Science|October 7, 2022
Dietary benzoic acid and supplemental enzymes alter fiber-fermenting taxa and metabolites in the cecum of weaned pigsNatalie E Diether, Seo Lin Nam, Janelle Fouhse, et al.
Animal Genetics|December 12, 2022
Characterisation of eight cattle with Swyer syndrome by whole-genome sequencingDonagh P Berry, Emily K Herman, Tara R Carthy, et al.
Journal of Dairy Science|September 2, 2022
Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networksSaeed Shadpour, Tatiane C S Chud, Dagnachew Hailemariam, et al.
BMC Genetics|January 31, 2014
Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattleMohammed K Abo-Ismail, Gordon Vander Voort, James J Squires, et al.
Genetics, Selection, Evolution : GSE|November 9, 2017
Genome-wide association studies and genomic prediction of breeding values for calving performance and body conformation traits in Holstein cattleMohammed K Abo-Ismail, Luiz F Brito, Stephen P Miller, et al.
Scientific Reports|April 9, 2024
Comprehensive insights into the impact of bacterial indole-3-acetic acid on sensory preferences in Drosophila melanogasterRaifa Abdul Aziz, Poornima Ramesh, Kokkarambath Vannadil Suchithra, et al.
Plos One|June 5, 2015
Dominant Red Coat Color in Holstein Cattle Is Associated with a Missense Mutation in the Coatomer Protein Complex, Subunit Alpha (COPA) GeneBen Dorshorst, Corneliu Henegar, Xiaoping Liao, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 17, 2008
In silico identification of genes in bacteriophage DNAAndrew M Kropinski, Mark Borodovsky, Tim J Carver, et al.
The Journal of Heredity|September 3, 2025
Bovine SNP array-based genetic assessment of American plains bison at American PrairieShawna J Zimmerman, Rebecca M Gooley, Sara J Oyler-McCance, et al.
Journal of Dairy Science|September 2, 2022
Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networksSaeed Shadpour, Tatiane C S Chud, Dagnachew Hailemariam, et al.
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