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Jennie E Pryce

Showing results (11-20 of 61) with videos related to

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BMC Genomics|May 3, 2023
Genome-wide assessment and mapping of inbreeding depression identifies candidate genes associated with semen traits in Holstein bullsMohammad Ghoreishifar, Seyed Milad Vahedi, Siavash Salek Ardestani, et al.
Journal of Dairy Science|August 29, 2023
Genetic parameters and evaluation of mortality and slaughter rate in Holstein and Jersey cowsM Haile-Mariam, M Khansefid, M Axford, et al.
Journal of Dairy Science|December 2, 2022
Synchronization of breeding and its impact on genetic parameters and evaluation of female fertility traitsMekonnen Haile-Mariam, Irene van den Berg, Phuong N Ho, et al.
BMC Genetics|July 22, 2015
Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cowsHassan Aliloo, Jennie E Pryce, Oscar González-Recio, et al.
Genetics, Selection, Evolution : GSE|February 3, 2016
Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traitsHassan Aliloo, Jennie E Pryce, Oscar González-Recio, et al.
BMC Genomics|April 17, 2015
Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populationsJeremy T Howard, Christian Maltecca, Mekonnen Haile-Mariam, et al.
Genetics, Selection, Evolution : GSE|July 20, 2013
Genes of the RNASE5 pathway contain SNP associated with milk production traits in dairy cattleLesley-Ann Raven, Benjamin G Cocks, Jennie E Pryce, et al.
Genetics, Selection, Evolution : GSE|May 1, 2014
Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk compositionLesley-Ann Raven, Benjamin G Cocks, Michael E Goddard, et al.
Animal Frontiers : the Review Magazine of Animal Agriculture|April 8, 2020
The future of phenomics in dairy cattle breedingJohn B Cole, Sophie A E Eaglen, Christian Maltecca, et al.
Scientific Reports|January 11, 2019
Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattleBeatriz Delgado, Alex Bach, Isabel Guasch, et al.
Pageof 7

Showing results (11-20 of 61) with videos related to

Sort By:
Pageof 7
BMC Genomics|May 3, 2023
Genome-wide assessment and mapping of inbreeding depression identifies candidate genes associated with semen traits in Holstein bullsMohammad Ghoreishifar, Seyed Milad Vahedi, Siavash Salek Ardestani, et al.
Journal of Dairy Science|August 29, 2023
Genetic parameters and evaluation of mortality and slaughter rate in Holstein and Jersey cowsM Haile-Mariam, M Khansefid, M Axford, et al.
Journal of Dairy Science|December 2, 2022
Synchronization of breeding and its impact on genetic parameters and evaluation of female fertility traitsMekonnen Haile-Mariam, Irene van den Berg, Phuong N Ho, et al.
BMC Genetics|July 22, 2015
Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cowsHassan Aliloo, Jennie E Pryce, Oscar González-Recio, et al.
Genetics, Selection, Evolution : GSE|February 3, 2016
Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traitsHassan Aliloo, Jennie E Pryce, Oscar González-Recio, et al.
BMC Genomics|April 17, 2015
Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populationsJeremy T Howard, Christian Maltecca, Mekonnen Haile-Mariam, et al.
Genetics, Selection, Evolution : GSE|July 20, 2013
Genes of the RNASE5 pathway contain SNP associated with milk production traits in dairy cattleLesley-Ann Raven, Benjamin G Cocks, Jennie E Pryce, et al.
Genetics, Selection, Evolution : GSE|May 1, 2014
Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk compositionLesley-Ann Raven, Benjamin G Cocks, Michael E Goddard, et al.
Animal Frontiers : the Review Magazine of Animal Agriculture|April 8, 2020
The future of phenomics in dairy cattle breedingJohn B Cole, Sophie A E Eaglen, Christian Maltecca, et al.
Scientific Reports|January 11, 2019
Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattleBeatriz Delgado, Alex Bach, Isabel Guasch, et al.
Pageof 7