K A Weigel

发表

Technical note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding.

P Pérez-Rodríguez, D Gianola, K A Weigel, 2013, Journal of animal science.

Threshold Model for Misclassified Binary Responses with Applications to Animal Breeding

D Gianola, K A Weigel, R Rekaya, 2001, Biometrics.

A multiple-trait herd cluster model for international dairy sire evaluation.

K A Weigel, R Rekaya, K. Weigel, 2000, Journal of dairy science.

Estimation of heterogeneous variances using empirical Bayes methods: theoretical considerations.

D Gianola, K A Weigel, C. R. Henderson, 1992, Journal of dairy science.

Characterization of dairy production systems in countries that participate in the International Bull Evaluation Service.

K A Weigel, R Rekaya, K. Weigel, 2001, Journal of dairy science.

Analysis of reproductive performance of lactating cows on large dairy farms using machine learning algorithms.

D Gianola, K A Weigel, K. Weigel, 2006, Journal of dairy science.

Random Forests approach for identifying additive and epistatic single nucleotide polymorphisms associated with residual feed intake in dairy cattle.

C. D. Page, K A Weigel, M J VandeHaar, 2013, Journal of dairy science.

Retrospective analysis of the accuracy of conversion equations and multiple-trait, across-country evaluations of Holstein bulls used internationally.

K A Weigel, R L Powell, 2000, Journal of dairy science.

Genetic selection for health traits using producer-recorded data. II. Genetic correlations, disease probabilities, and relationships with existing traits.

K A Weigel, K. Weigel, Y. Chang, 2004, Journal of dairy science.

Use of linear type and production data to supplement early predicted transmitting abilities for productive life.

K A Weigel, P. VanRaden, G. Wiggans, 1998, Journal of dairy science.

Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle.

D Gianola, K A Weigel, G J M Rosa, 2010, Journal of dairy science.

Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins.

D Gianola, K A Weigel, G J M Rosa, 2011, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

A 100-Year Review: Methods and impact of genetic selection in dairy cattle-From daughter-dam comparisons to deep learning algorithms.

K A Weigel, P M VanRaden, P. VanRaden, 2017, Journal of dairy science.

Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins.

D Gianola, K A Weigel, G J M Rosa, 2010, Journal of dairy science.

Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers.

D Gianola, K A Weigel, G J M Rosa, 2009, Journal of dairy science.

Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiency.

K A Weigel, R J Tempelman, R F Veerkamp, 2018, Journal of dairy science.

Genotype x environment interaction for milk production in Guernsey cattle.

K A Weigel, R Rekaya, K. Weigel, 2003, Journal of dairy science.

An assessment of linkage disequilibrium in Holstein cattle using a Bayesian network.

D Gianola, K A Weigel, G J M Rosa, 2012, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genetic selection for health traits using producer-recorded data. I. Incidence rates, heritability estimates, and sire breeding values.

K A Weigel, K. Weigel, Y. Chang, 2004, Journal of dairy science.

Bayesian estimation of parameters of a structural model for genetic covariances between milk yield in five regions of the United States.

D Gianola, K A Weigel, R Rekaya, 2003, Journal of dairy science.

Technical note: an R package for fitting generalized linear mixed models in animal breeding.

D Gianola, K A Weigel, G J M Rosa, 2010, Journal of animal science.