K. L. Parker Gaddis

发表

Explorations in genome-wide association studies and network analyses with dairy cattle fertility traits.

J. Cole, K. L. Parker Gaddis, D. Null, 2016, Journal of dairy science.

Invited review: Opportunities for genetic improvement of metabolic diseases.

F. Miglior, J. Cole, J. Pryce, 2016, Journal of dairy science.

Genomic selection for producer-recorded health event data in US dairy cattle.

J. Cole, C. Maltecca, K. L. Parker Gaddis, 2014, Journal of dairy science.

Benchmarking dairy herd health status using routinely recorded herd summary data.

J. Cole, C. Maltecca, K. L. Parker Gaddis, 2016, Journal of dairy science.

Evaluation of genetic components in traits related to superovulation, in vitro fertilization, and embryo transfer in Holstein cattle.

P. Hansen, J. Cole, S. Dikmen, 2017, Journal of dairy science.

GWAS and fine-mapping of livability and six disease traits in Holstein cattle

P. VanRaden, Li Ma, George E. Liu, 2019, BMC Genomics.

Genome-wide association study for ketosis in US Jerseys using producer-recorded data.

K. L. Parker Gaddis, J. Clay, J. Megonigal, 2018, Journal of dairy science.

Symposium review: Development, implementation, and perspectives of health evaluations in the United States.

P. VanRaden, H. Norman, J. Cole, 2020, Journal of dairy science.

Impact of epistasis effects on the accuracy of predicting phenotypic values of residual feed intake in U. S Holstein cows

K. Weigel, R. Tempelman, F. Peñagaricano, 2022, Frontiers in Genetics.

Incidence validation and relationship analysis of producer-recorded health event data from on-farm computer systems in the United States.

J. Cole, C. Maltecca, K. L. Parker Gaddis, 2012, Journal of dairy science.

Genomic prediction of disease occurrence using producer-recorded health data: a comparison of methods

J. Cole, C. Maltecca, F. Tiezzi, 2015, Genetics Selection Evolution.

Genotype by environment (climate) interaction improves genomic prediction for production traits in US Holstein cattle.

G. de los Campos, C. Maltecca, F. Tiezzi, 2017, Journal of dairy science.

Impact of parity differences on residual feed intake estimation in Holstein cows

K. Weigel, R. Tempelman, F. Peñagaricano, 2023, JDS Communications.

Multiple-trait random regression modeling of feed efficiency in US Holsteins.

K. Weigel, R. Tempelman, F. Peñagaricano, 2022, Journal of dairy science.

Estimates of genetic parameters for feeding behavior traits and their associations with feed efficiency in Holstein cows.

K. Weigel, R. Tempelman, F. Peñagaricano, 2022, Journal of dairy science.

An alternative interpretation of residual feed intake by phenotypic recursive relationships in dairy cattle

Xiao-Lin Wu, Erin E. Connor, John B. Cole, 2021, JDS communications.

Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study

F. Peñagaricano, H. Norman, Xiao-Lin Wu, 2022, Frontiers in Genetics.

Improving resistance of cattle to BRD through genomics

K. L. Parker Gaddis, 2020, Animal Health Research Reviews.

Genetic Parameters and Genetic Trends for Johne's Disease in U.S. Holsteins: An Updated Study.

K. L. Parker Gaddis, R. Fourdraine, Xiaoli Wu, 2024, Journal of dairy science.