Stephen Kachman

Stephen Kachman portrait

Dr. Kachman's research is focused on the development and application of statistical methodology in the area of statistical genomics. Currently he is working on methodology on incorporating genomic information, primarily in the form of SNP genotypes, into national beef cattle evaluation (Matthew Spangler, Department of Animal Science). The statistical methodology development includes extensions based on generalized linear mixed models and Bayesian models. Other projects include genomics of swine reproduction (Daniel Ciobanu, Department of Animal Science, UNL), modeling of the host genetics influence of their gut microbial communities (Andrew Benson, Department of Food Science and Technology, UNL), genetic components of biological responses to stress (Lawrence Harshman, School of Biological Sciences, UNL), and statistical models for the evaluation of teachers and programs (Walter Stroup, Department of Statistics, UNL).

Featured Publications

Lucot KL, Spangler ML, Trenhaile MD, Kachman SD, Ciobanu DC. Evaluation of reduced subsets of single nucleotide polymorphisms for the prediction of age at puberty in sows. Anim Genet. 2015 Aug;46(4):403-9. doi: 10.1111/age.12310. Epub 2015 Jun 9. PubMed PMID: 26059234.

Schiermiester LN, Thallman RM, Kuehn LA, Kachman SD, Spangler ML. Estimation of breed-specific heterosis effects for birth, weaning, and yearling weight in cattle. J Anim Sci. 2015 Jan;93(1):46-52. doi: 10.2527/jas.2014-8493. PubMed PMID: 25568356.

McKnite AM, Bundy JW, Moural TW, Tart JK, Johnson TP, Jobman EE, Barnes SY, Qiu JK, Peterson DA, Harris SP, Rothschild MF, Galeota JA, Johnson RK, Kachman SD, Ciobanu DC. Genomic analysis of the differential response to experimental infection with porcine circovirus 2b. Anim Genet. 2014 Apr;45(2):205-14. doi: 10.1111/age.12125. Epub 2014 Jan 21. PubMed PMID: 24444103. 

Kachman SD, Spangler ML, Bennett GL, Hanford KJ, Kuehn LA, Snelling WM, Thallman RM, Saatchi M, Garrick DJ, Schnabel RD, Taylor JF, Pollak EJ. Comparison of molecular breeding values based on within- and across-breed training in beef cattle. Genet Sel Evol. 2013 Aug 16;45:30. doi: 10.1186/1297-9686-45-30. PubMed PMID: 23953034; PubMed Central PMCID: PMC3765540.

Tart JK, Johnson RK, Bundy JW, Ferdinand NN, McKnite AM, Wood JR, Miller PS, Rothschild MF, Spangler ML, Garrick DJ, Kachman SD, Ciobanu DC. Genome-wide prediction of age at puberty and reproductive longevity in sows. Anim Genet. 2013 Aug;44(4):387-97. doi: 10.1111/age.12028. Epub 2013 Feb 26. PubMed PMID: 23437861.