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George R Wiggans

Showing results (1-10 of 23) with videos related to

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Frontiers in Genetics|September 26, 2022
Genomic selection in United States dairy cattleGeorge R Wiggans, José A Carrillo
Annual Review of Animal Biosciences|November 19, 2016
Genomic Selection in Dairy Cattle: The USDA ExperienceGeorge R Wiggans, John B Cole, Suzanne M Hubbard, et al.
Genetics, Selection, Evolution : GSE|March 4, 2011
Genomic evaluations with many more genotypesPaul M VanRaden, Jeffrey R O'Connell, George R Wiggans, et al.
Genetics|June 28, 2011
Imputation of missing genotypes from sparse to high density using long-range phasingHans D Daetwyler, George R Wiggans, Ben J Hayes, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|June 5, 2019
Additional considerations to the use of single-step genomic predictions in a dominance settingRodrigo R Mota, Sylvie Vanderick, Frédéric G Colinet, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 30, 2016
Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selectionAdriana García-Ruiz, John B Cole, Paul M VanRaden, et al.
Genomics|September 8, 2020
Copy number variation analysis reveals variants associated with milk production traits in dairy goatsXiaolong Kang, Mingxun Li, Mei Liu, et al.
BMC Genomics|May 3, 2018
Genome-wide copy number variant analysis reveals variants associated with 10 diverse production traits in Holstein cattleYang Zhou, Erin E Connor, George R Wiggans, et al.
JDS Communications|September 20, 2023
Does modeling causal relationships improve the accuracy of predicting lactation milk yields?Xiao-Lin Wu, Asha M Miles, Curtis P Van Tassell, et al.
Frontiers in Genetics|August 29, 2022
Statistical Methods Revisited for Estimating Daily Milk Yields: How Well do They Work?Xiao-Lin Wu, George R Wiggans, H Duane Norman, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Frontiers in Genetics|September 26, 2022
Genomic selection in United States dairy cattleGeorge R Wiggans, José A Carrillo
Annual Review of Animal Biosciences|November 19, 2016
Genomic Selection in Dairy Cattle: The USDA ExperienceGeorge R Wiggans, John B Cole, Suzanne M Hubbard, et al.
Genetics, Selection, Evolution : GSE|March 4, 2011
Genomic evaluations with many more genotypesPaul M VanRaden, Jeffrey R O'Connell, George R Wiggans, et al.
Genetics|June 28, 2011
Imputation of missing genotypes from sparse to high density using long-range phasingHans D Daetwyler, George R Wiggans, Ben J Hayes, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|June 5, 2019
Additional considerations to the use of single-step genomic predictions in a dominance settingRodrigo R Mota, Sylvie Vanderick, Frédéric G Colinet, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 30, 2016
Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selectionAdriana García-Ruiz, John B Cole, Paul M VanRaden, et al.
Genomics|September 8, 2020
Copy number variation analysis reveals variants associated with milk production traits in dairy goatsXiaolong Kang, Mingxun Li, Mei Liu, et al.
BMC Genomics|May 3, 2018
Genome-wide copy number variant analysis reveals variants associated with 10 diverse production traits in Holstein cattleYang Zhou, Erin E Connor, George R Wiggans, et al.
JDS Communications|September 20, 2023
Does modeling causal relationships improve the accuracy of predicting lactation milk yields?Xiao-Lin Wu, Asha M Miles, Curtis P Van Tassell, et al.
Frontiers in Genetics|August 29, 2022
Statistical Methods Revisited for Estimating Daily Milk Yields: How Well do They Work?Xiao-Lin Wu, George R Wiggans, H Duane Norman, et al.
Pageof 3