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Matthew L Spangler

Showing results (31-40 of 56) with videos related to

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Journal of Animal Science|July 14, 2021
Breed and heterotic effects for mature weight in beef cattleMadeline J Zimmermann, Larry A Kuehn, Matthew L Spangler, et al.
Journal of Animal Science|May 4, 2025
Genetic influence on the composition of the ocular microbiome in preweaned beef calvesAndrew D Lakamp, Alison C Neujahr, Matthew M Hille, et al.
Animal Microbiome|January 31, 2021
Longitudinal assessment of the bovine ocular bacterial community dynamics in calvesAlison C Bartenslager, Nirosh D Althuge, John Dustin Loy, et al.
Journal of Animal Science|April 5, 2018
Genome-wide association study for feed efficiency traits using SNP and haplotype modelsKashly R Schweer, Stephen D Kachman, Larry A Kuehn, et al.
Scientific Reports|July 14, 2022
DNA methylation profile in beef cattle is influenced by additive genetics and ageAndré Mauric F Ribeiro, Leticia P Sanglard, Hiruni R Wijesena, et al.
Journal of Animal Science|March 11, 2019
Comparison of different functions to describe growth from weaning to maturity in crossbred beef cattle1Madeline J Zimmermann, Larry A Kuehn, Matthew L Spangler, et al.
Journal of Animal Science|January 19, 2022
Genetic parameters, heterosis, and breed effects for body condition score and mature cow weight in beef cattleAndré Mauric F Ribeiro, Leticia P Sanglard, Warren M Snelling, et al.
Genetics, Selection, Evolution : GSE|October 31, 2025
Prediction accuracy for feed intake and body weight gain using host genomic and rumen metagenomic data in beef cattleAndrew Lakamp, Seidu Adams, Larry Kuehn, et al.
Journal of Animal Science|August 15, 2018
The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased predictionJeremy T Howard, Tom A Rathje, Caitlyn E Bruns, et al.
Genetica|December 16, 2017
Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. HolsteinsJun He, Jiaqi Xu, Xiao-Lin Wu, et al.
Pageof 6

Showing results (31-40 of 56) with videos related to

Sort By:
Pageof 6
Journal of Animal Science|July 14, 2021
Breed and heterotic effects for mature weight in beef cattleMadeline J Zimmermann, Larry A Kuehn, Matthew L Spangler, et al.
Journal of Animal Science|May 4, 2025
Genetic influence on the composition of the ocular microbiome in preweaned beef calvesAndrew D Lakamp, Alison C Neujahr, Matthew M Hille, et al.
Animal Microbiome|January 31, 2021
Longitudinal assessment of the bovine ocular bacterial community dynamics in calvesAlison C Bartenslager, Nirosh D Althuge, John Dustin Loy, et al.
Journal of Animal Science|April 5, 2018
Genome-wide association study for feed efficiency traits using SNP and haplotype modelsKashly R Schweer, Stephen D Kachman, Larry A Kuehn, et al.
Scientific Reports|July 14, 2022
DNA methylation profile in beef cattle is influenced by additive genetics and ageAndré Mauric F Ribeiro, Leticia P Sanglard, Hiruni R Wijesena, et al.
Journal of Animal Science|March 11, 2019
Comparison of different functions to describe growth from weaning to maturity in crossbred beef cattle1Madeline J Zimmermann, Larry A Kuehn, Matthew L Spangler, et al.
Journal of Animal Science|January 19, 2022
Genetic parameters, heterosis, and breed effects for body condition score and mature cow weight in beef cattleAndré Mauric F Ribeiro, Leticia P Sanglard, Warren M Snelling, et al.
Genetics, Selection, Evolution : GSE|October 31, 2025
Prediction accuracy for feed intake and body weight gain using host genomic and rumen metagenomic data in beef cattleAndrew Lakamp, Seidu Adams, Larry Kuehn, et al.
Journal of Animal Science|August 15, 2018
The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased predictionJeremy T Howard, Tom A Rathje, Caitlyn E Bruns, et al.
Genetica|December 16, 2017
Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. HolsteinsJun He, Jiaqi Xu, Xiao-Lin Wu, et al.
Pageof 6