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Robert J. Tempelman

Affiliations:

Michigan State University, East Lansing, MI

Area:

Biostatistics Biology

Website:

https://msu.edu/~tempelma/

Google:

"Robert John Tempelman" OR "Robert J Tempelman"

Bio:

https://www.researchgate.net/profile/Robert_Tempelman
https://scholar.google.com/citations?user=2sd6fcIAAAAJ&hl=en
https://books.google.com/books?id=m3_UAAAAMAAJ

Cross-listing: Animal Science Tree

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Parents

Daniel Gianola	grad student	1993	UW Madison (Physiology Academic Tree)
(Poisson Mixed Models for the Analysis of Counts with an Application to Dairy Cattle Breeding)

Children

Kadir Kizilkaya	grad student	2002	Michigan State
Fernando F. Cardoso	grad student	2003	Michigan State
Juan P. Steibel	grad student	2007	Michigan State
Lan Xiao	grad student	2007	Michigan State
Nora M. Bello	grad student	2010	Michigan State
Yvonne M. Badke	grad student	2013	Michigan State
Wenzhao Yang	grad student	2014	Michigan State

Collaborators

BETA: Related publications

Publications

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Cavani L, Parker Gaddis KL, Baldwin RL, et al. (2023) Consistency of dry matter intake in Holstein cows: heritability estimates and associations with feed efficiency. Journal of Dairy Science
Liang Z, Prakapenka D, Parker Gaddis KL, et al. (2022) Impact of epistasis effects on the accuracy of predicting phenotypic values of residual feed intake in U. S Holstein cows. Frontiers in Genetics. 13: 1017490
Tempelman RJ, Lu Y. (2020) Symposium review: Genetic relationships between different measures of feed efficiency and the implications for dairy cattle selection indexes. Journal of Dairy Science
Li B, VanRaden PM, Guduk E, et al. (2020) Genomic prediction of residual feed intake in US Holstein dairy cattle. Journal of Dairy Science
Li B, Fang L, Null DJ, et al. (2019) High-density genome-wide association study for residual feed intake in Holstein dairy cattle. Journal of Dairy Science
de Souza RA, Tempelman RJ, Allen MS, et al. (2019) Updating predictions of dry matter intake of lactating dairy cows. Journal of Dairy Science
Rovere G, de Los Campos G, Tempelman RJ, et al. (2018) A landscape of the heritability of Fourier-transform infrared spectral wavelengths of milk samples by parity and lactation stage in Holstein cows. Journal of Dairy Science
Nawaz MY, Jimenez-Krassel F, Steibel JP, et al. (2018) Genomic heritability and genome-wide association analysis of anti-Müllerian hormone in Holstein dairy heifers. Journal of Dairy Science
Zhou Y, Connor EE, Wiggans GR, et al. (2018) Genome-wide copy number variant analysis reveals variants associated with 10 diverse production traits in Holstein cattle. Bmc Genomics. 19: 314
Lu Y, Vandehaar MJ, Spurlock DM, et al. (2018) Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiency. Journal of Dairy Science

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