2025

1. Mazetti Nascimento, B., K.L. Parker Gaddis, J.E. Koltes, R.J. Tempelman, M.J. VandeHaar, H.M. White, F. Peñagaricano, and K. A. Weigel. 2025. Impact of heat stress on dry matter intake and residual feed intake in midlactation dairy cows. J. Dairy Sci. Accepted. https://doi.org/10.3168/jds.2025-26574.
2. Kendall, S.J., H.T. Holdorf, R.S. Pralle, and H.M. White. 2025. Temporal patterns of liver and adipose lipase abundance across the periparturient period in multiparous Holstein dairy cows. J. Dairy Sci. Comm. 6(1):143-148. https://doi.org/10.3168/jdsc.2024-0613.

2024

1. Cavani, L., K. L. Parker Gaddis, R. L. Baldwin, J. E. P. Santos, J. E. Koltes, R. J. Templeman, M. J. VandeHaar, H. M. White, F. Peñagaricano, and K. A. Weigel. 2024. Genetic characterisation of feeding patterns in lactating Holstein cows and their association with feed efficiency traits. J. Anim. Breed. Genetics. Accepted. doi.org/10.1111/jbg.12911.
2. Ferreira, R., A. L. Balaguer, R. Chandra, G. Rosa, H. M. White, and J. Reboucas Dorea. 2024. Multi-modal machine learning for the early detection of metabolic disorder in dairy cows using a cloud computing framework. Comp. Electron. Ag. 227(1):109563. https://doi.org/10.1016/j.compag.2024.109563.
3. Arshad, U., M. Cid de la Paz, H. M. White, and L.R. Cangiano. 2024. Characterization of an in vitro model to study CD4⁺ T cells metabolism in dairy cows. JDS Commun. 5: 740-744. https://doi.org/10.3168/jdsc.2024-0565.
4. Arshad, U., K. M. Kennedy, M. Cid de la Paz, S. J. Kendall, L. R. Cangiano, and H. M. White. 2024. Immune cells phenotype and bioenergetic measures in CD4⁺ T cells differ between high and low feed efficient dairy cows. Sci. Reports. 14:15993. https://doi.org/10.1038/s41598-024-66345-x.
5. Yilmaz Adkinson, A., M. Abouhawwash, K. Parker Gaddis, J. Burchard, F. Peñagaricano, H. White, K. Weigel, R. Baldwin, J. Santos, M. VandeHaar, J. Koltes, and R. Tempelman. 2024. Assessing different cross-validation schemes for predicting novel traits using sensor data: an application to dry matter intake and residual feed intake using milk spectral data. J. Dairy Sci. 107(10):8084-8099. https://doi.org/10.3168/jds.2024-24701.
6. Mazetti Nascimento, B., L. Cavani, M. Caputo, M. Marinho, M. Borchers, R. Wallace, J. Santos, H. White, F. Peñagaricano, and K. Weigel. 2024. Genetic relationships between behavioral traits and feed efficiency traits in lactating Holstein cows. J. Dairy Sci. 107(10):8141-8149. https://doi.org/10.3168/jds.2023-24526.
7. Houlahan, K., F. S. Schenkel, F. Miglior, J. Jamrozik, R. B. Stephansen, O. González-Recio, N. Charfeddine, D. Segelke, A. M. Butty, P. Stratz, M. J. VandeHaar, R. J. Tempelman, K. Weigel, H. White, F. Peñagaricano, J. E. Koltes, J. E. P. Santos, R. L. Baldwin VI, and C. F. Baes. 2024. Estimation of genetic parameters for feed efficiency traits using random regression models in dairy cattle. J. Dairy Sci. 107(3): 1523-1534. https://doi.org/10.3168/jds.2022-23124.
8. van Staaveren, N., H. R. de Oliveira, K. Houlahan, T. C. S. Chud, G. A. Oliveira Jr., D. Hailemariam, G. Kristemaker, F. Miglior, G. Plastow, F. S. Schenkel, R. Cerri, M. A. Sirard, P. Stothard, J. Pryce, A. Butty, P. Stratz, E. A. E. Abdalla, D. Segelke, E. Stamer, G. Thaller, J. Lassen, C. I. V. Manzanilla-Pech, R. B. Stephansen, N. Charfeddine, A. García-Rodríguez, O. González-Recio, J. López-Paredes, R. Baldwin, J. Burchard, K. L. Parker Gaddis, J. E. Koltes, F. Peñagaricano, J. E. P. Santos, R. J. Tempelman, M. VandeHaar, K. Wegel, H. White, and C. F. Baes. The Resilient Dairy Genome Project—A general overview of methods and objectives related to feed efficiency and methane emissions. J. Dairy Sci. 107(3):1510-1522. https://doi.org/10.3168/jds.2022-22951.
9. Toghiani, S., P. VanRaden, R. Baldwin, K. Weigel, H. White, F. Peñagaricano, J. Koltes, J. Santos, K. Parker Gaddis, M. VandeHaar, and R. Tempelman. 2024. Dry matter intake in US Holstein cows: exploring the genomic and phenotypic impact of milk components and body weight composite. J. Dairy Sci. Anim. Genom. Improv. Lab. Accepted.https://doi.org/10.3168/jds.2023-24296.
10. Cavani, L., K. L. Parker Gaddis, R. L. Baldwin, J. E. P. Santos, J. E. Koltes, R. J. Tempelman, M. J. VandeHaar, H. M. White, F. Peñagaricano, and K. A. Weigel. 2024. Consistency of dry matter intake in Holstein cows: Heritability estimates and associations with feed efficiency. 107(2):1054-1067. https://doi.org/10.3168/jds.2023-23774.
11. Arshad, U., F. Peñagaricano, and H. M. White. 2024. Effects of feeding rumen-protected lysine during the postpartum period on performance and amino acid profile in dairy cows: A meta-analysis. J. Dairy Sci. In Press. https://doi.org/10.3168/jds.2023-24131.
12. Kendall, S. J., S. E. Green, S. M. Edwards, G. R. Oetzel, and H. M. White. 2024. Validation of an on-farm portable blood analyzer for quantifying blood analytes in dairy cows. Res. Vet. Sci. 171:105228. https://doi.org/10.1016/j.rvsc.2024.105228.

2023

1. Reyes, F., H. White, K. Weigel, and J. Van Os. 2023. Preference for feed bins shared with cows of the same or different parity and relationships with feeding behavior and feed efficiency. J. Dairy Sci. 107(6):3847-3862. https://doi.org/10.3168/jds.2023-23798.
2. Lee, J., K Cho., K. Weigel, H. White, C. Do, and I. Choi. 2023. Identification of genomic regions and genes associated with subclinical ketosis in periparturient dairy cows. J. Anim. Sci. Tech. 2055-0391. https://doi.org/10.5187/jast.2023.e97.
3. Menezes, G., T. Bresolin, R. Ferreira, H. Holdorf, S. Arriola Apelo, H. White, and J. Dorea. 2023. Near-infrared spectroscopy analysis of blood plasma for predicting nonesterified fatty acid concentrations in dairy cows. JDS Comm. 5(3):195-199. https://doi.org/10.3168/jdsc.2023-045823-0458.
4. Caputo, M. J., W. Li., S. J. Kendall., A. Larsen, K. A. Weigel, and H. M. White. 2023. Liver and muscle transcriptomes differ in mid-lactation cows divergent in feed efficiency in the presence or absence of supplemental rumen-protected choline. Metabolites. 13:1023. https://doi.org/10.3390/metabo13091023.
5. Chandler, T. L., S. J. Kendall, and H. M. White. 2023. Fatty acids challenge shifts cellular energy metabolism in a substrate-specific manner in primary bovine neonatal hepatocytes. Sci. Reports. 13:15020. https://doi.org/10.1038/s41598-023-41919-3.
6. Cavani, L., K. Parker Gaddis, R. Baldwin, J. Santos, J. Koltes, R. Tempelman, M. VandeHaar, M. Martin, H. White, F. Peñagaricano, K. Weigel. 2023. Impact of parity differences on residual feed intake estimation in Holstein cows. JDS Communications. 4:201-204. https://doi.org/10.3168/jdsc.2022-0307.
7. Cavani, L., K. Parker Gaddis, R. Baldwin, J. Santos, J. Koltes, R. Tempelman, M. VandeHaar, H. White, F. Peñagaricano, and K. Weigel. 2023. Consistency of dry matter intake in Holstein cows: heritability estimates and associations with feed efficiency**. J. Dairy Sci. 105(9):7564-7574. https://doi.org/10.3168/jds.2022-22066. **Editor’s Choice for January 2024.
8. Staaveren, N., H. De Oliveira, K. Houlahan, T. Chud, G. Oliveira Jr., D. Hailemariam, G. Kistemaker, F. Miglior, G. Plastow, F. Schenkel, R. Cerri, M. A. Sirard, P. Stothard, J. Pryce, A. Butty, P. Stratz, E. Abdalla, D. Segelke, E. Stamer, G. Thaller, J. Lassen, C. Manzanilla-Pech, R. Stephansen, N. Charfeddine, A. García-Rodriguez, O. González-Recio, J. Lopez-Paredes, R. Baldwin, J. Buchard, K. Parker Gaddis, J. Koltes, F. Peñagaricano, J. Santos, R. Tempelmen, M. VandeHaar, K. Weigel, H. White, and C. Baes. 2023. The Resilient Dairy Geneome Project – a general overview of methods and objectives related to feed efficiency and methane emissions. J. Dairy Sci. 107(3):1510-1522. https://doi.org/10.3168/jds.2022-22951.
9. Houlahan, K., F. Schenkel, F. Miglior, J. Jamorozik, R. Stephansen, O. González-Recio, N. Charfeddine, D. Segelke, A. Butty, P. Stratz, M. VandeHaar, R. Tempelman, K. Weigel, H. White, F. Peñagaricano, J. Koltes, J. Santos, R. Baldwin, and C. Baes. 2023. Estimation of genetic parameters for feed efficiency traits using random regression models in dairy cattle. J. Dairy Sci. 107(3):1523-1534. doi: 10.3168/jds.2022-23124.
10. Brown, W. E., H. T. Holdorf, S. J. Johnson, S. J. Kendall, S. E. Green, and H. M. White. 2023. In utero choline exposure alters growth, metabolism, feed efficiency, and carcass characteristics of Holstein x Angus cattle. J. Anim. Sci. 101:skad186. doi: 10.1093/jas/skad186.
11. Brown, W. E., H. T. Holdorf, S. J. Kendall, and H. M. White. 2023. Dam body condition score alters offspring circulating cortisol and energy metabolites in Holstein calves but did not affect neonatal leptin surge. Metabolites. 13(5):631. https://doi.org/10.3390/metabo13050631.
12. Walleser, E., J.F. Mandujano Reyes, K. Anklam, R.S. Pralle, H.M. White, S. Unger, N. Panne, M. Kammer, S. Plattner, and D. Döpfer. 2023. Novel prediction models for hyperketonemia using bocine milk Fourier-transform infrared spectroscopy. Prev. Vet. Med. 213:105860. https://doi.org/10.1016/j.prevetmed.2023.105860.
13. Holdorf, H. T., S. J. Kendall, K. Ruh, M. J. Caputo, G. Combs, S. Henisz, W. Brown, T. Bresolin, R. Ferreira, J. Dorea, and H. M. White.  2023. Increasing the prepartum dose of rumen-protected choline: Effects on milk production and metabolism in high producing Holstein dairy cows. J. Dairy Sci. 106(9):5988-6004. doi:10.3168/jds.2022-22905.
14. Holdorf, H. T., W. E. Brown, G. J. Combs, S. Heinsz, S. J. Kendall, M. J. Caputo, K. Ruh, and H. M. White. 2023. Increasing the prepartum dose of rumen-protected choline: Effects of maternal supplementation on growth, feed efficiency, and metabolism in Holstein and Holstein x Angus calves. J. Dairy Sci. 106(9):6005-6027. doi:0.3168/jds.2022-23068
15. Reyes, F., H. White, K. Weigel, and J. Van Os. 2023. Social interactions, feeding patterns, and feed efficiency of same- and mixed-parity groups of lactating cows. J. Dairy Sci. 106(12):9410-9425. https://doi.org/10.3168/jds.2023-23295.
16. Stephansen, R. B., P. Martin, C. Manzanilla-Pech, B. Gredler-Grandl, G. Sahana, P. Madsen, K. A. Weigel, R. Tempelman, F. Peñagaricano, K. Parker Gaddis, H. White, J. Santos, J. Koltes, F. Schenkel, D. Hailemariam, G. Plastow, E. Abdalla, M. VandeHaar, R. Veerkamp, C. Baes, and J. Lassen. 2023. Novel genetic parameters for genetic residual feed intake in dairy cattle using time series data from multiple parities and countries in North America and Europe. J. Dairy Sci. 106(12):9078-9094. https://doi.org/10.3168/jds.2023-23330.

2022

1. Cavani, L., K. L. Parker Gaddis, R. Baldwin, J. Santos, J. Koltes, R. Tempelman, M. VandeHaar, M. Caputo, H. White, F. Peñagaricano, and K. Weigel. 2022. Impact of parity differences on residual feed intake estimation in Holstein cows. J. Dairy Sci. Comm. 4(3):201-204. https://doi.org/10.3168/jdsc.2022-0307.
2. Liang, Z., D. Prakapenka, K.L. Parker Gaddis, M.J. VandeHaar, K.A. Weigel, R.J. Tempelman, J.E. Koltes, J.E.P. Santos, H.M. White, F. Peñagaricano, R.L. Baldwin, and Y. Da. 2022. Impact of epistasis effects on the accuracy of predicting phenotypic values of residual feed intake in U.S. Holstein cows. Front. Genet. 13:1017490. https://doi.10.3389/fgene.2022.1017490.
3. Pralle, R.S., H.T. Holdorf, R. Caputo Oliveira, C.R. Seely, S.J. Kendall, and H.M. White. 2022. Prediction of liver triglyceride content in early lactation multiparous Holstein cows using blood metabolite, mineral, and protein biomarker concentrations. Animals. 12(19)2556. https://doi.org/10.3390/ani12192556.
4. Brown, W.E., M.J. Martin, C. Siberski, J.E. Koltes, F. Peñagaricano, K.A. Weigel, and H.M. White. 2022. Predicting dry matter intake in mid-lactation Holstein cows using point-in-time data streams available on dairy farms. J. Dairy Sci. 105(12):9666-9681. https://doi.org/10.3168/jds.2021-21650.
5. Brown, W.E., L. Cavani, F. Peñagaricano, K.A. Weigel, and H.M. White. 2022. Feeding behavior parameters and temporal patterns in mid-lactation Holstein cows across a range of residual feed intake values. J. Dairy Sci. 105(10):8130-8142. https://doi.org/10.3168/jds.2022-22093.
6. Cavani, L., W.E. Brown, K. Parker Gaddis, R. Tempelman, M. VandeHaar, H.M. White, F. Peñagaricano, and K.A. Weigel. 2022. Estimates of genetic parameters for feeding behavior traits and their associations wtih feed efficiency in Holstein cows. J. Dairy Sci. 105(9):7564-7574. https://doi.org/10.3168/jds.2022-22066.
7. Khanal, P., K.L. Parker Gaddis, M.J. VandeHaar, K.A. Weigel, H.M. White, F. Peñagaricano, J.E. Koltes, J.E.P. Santos, R.L. Baldwin, J.F. Burchard, J. W. Durr, and R. J. Tempelman. 2022. Multiple-trait random regression model of feed efficiency in US Holsteins. J. Dairy Sci. 105(7):5954-5971. https://doi.org/10.3168/jds.2021-21739.
8. Erb, S.J., T.L. Chandler, and H.M. White. 2022. Responsiveness of PNPLA3 and lipid-related transcription factors is dependent upon fatty acid profile in primary bovine hepatocytes. Sci. Reports. 12:888. https://doi.org/10.1038/s41598-021-04755-x.

2021

1. Pralle, R.S., W. Li, B.N. Murphy, H.T. Holdorf, and H.M. White. 2021. Novel facets of the liver transcriptome are associated with the susceptibility and resistance to lipid-related metabolic disorders in periparturient Holstein cows. Animals. 11(9):2558. https://doi.org/10.3390/ani11092558.
2. Holdorf, H.T. and H.M. White. 2021. Effects of rumen-protected choline supplementation in Holstein dairy cows using electric heat blanket induced heat stress. J. Dairy Sci. 104(9):9715-9725. https://doi.org/10.3168/jds.2020-19794.
3. Martin, M.J., K.A. Weigel, and H.M. White. 2021. Assessment of the relationship between postpartum health and mid-lactation performance, behavior, and feed efficiency in Holstein dairy cows. Animals. 11:1385. https://doi.org/10.3390/ani11051385.
4. Pralle, R.S., J.D. Amdall, R.H. Fourdraine, G.R. Oetzel, and H.M. White. 2021. Hyperketonemia predictions provide an on-farm management tool with epidemiological insights. Animals. 11(5):1291. https://doi.org/10.3390/ani11051291.
5. Martin, M.J., J.R.R. Dorea, M.R. Borchers, R.L. Wallace, S.J. Bertics, S.K. DeNise, K.A. Weigel, and H.M. White. 2021. Comparison of methods to predict feed intake and residual feed intake using behavioral and metabolite data in addition to classical performance variables. J. Dairy Sci. 104(8):8765-8782. https://doi.org/10.3168/jds.2020-20051.
6. Pralle, R.S., S. J. Erb, H. T. Holdorf, and H. M. White. 2021. Greater liver PNPLA3 protein abundance in vivo and in vitro supports lower triglyceride accumulation in dairy cows. Sci. Reports. 11:2839. https://doi.org/10.1038/s41598-021-82233-0.
7. Martin, M.J., R.S. Pralle, I.R. Bernstein, M.J. VandeHaar, K.A. Weigel, Z. Zhou, and H.M. White. 2021. Circulating metabolites indicate differences in high and low residual feed intake in Holstein dairy cows. Metabolites. 11(12):868. https://doi.org/10.3390/metabo11120868.

2020

1. Weld, K.A., R. Caputo Oliveira, S.J. Bertics, S.J. Erb, and H.M. White. 2020. Hepatic pyruvate carboxylase expression differed prior to hyperketonemia onset in transition dairy cows. PloS ONE. 15(11):e0241929. https://doi.org/10.1371/journal.pone.0241929.
2. Chandler, T.L., S.J. Erb, J.W. McFadden, and H.M. White. 2020. Palmitate and pyruvate carbon flux in response to choline and methionine in bovine neonatal hepatocytes. Sci. Reports. 10:19078. https://doi.org/10.1038/s41598-020-75956-z.
3. Caprarulo, V.*, S.J. Erb*, T.L. Chandler, M.G. Zenobi, B.A. Barton, C.R. Staples, and H.M. White. 2020. The effects of prepartum energy intake and peripartum rumen protected choline supplementation on hepatic genes involved in glucose and lipid metabolism**. J. Dairy Sci. https://doi.org/10.3168/jds.2020-18840. *Co-first authors. **Editor’s choice for December 2020.
4. Caputo Oliveira, R., S.J. Erb, R.S. Pralle, H.T. Holdorf, C.R. Seely, and H.M. White. 2020. Postpartum fermented ammoniated condensed whey supplementation altered nutrient partitioning to support hepatic metabolism. J. Dairy Sci. https://doi.org/10.3168/jds.2019-17790.
5. White, H.M. 2020. ADSA Foundation Scholar Award: Influencing hepatic metabolism: Can nutrient partitioning be modulated to optimize metabolic health in the transition dairy cow? J. Dairy Sci. https://doi.org/10.3168/jds.2019-18119.
6. McFadden, J.W., C.L. Girard, S. Tao, Z. Zheng, J.K. Bernard, M. Duplessis, and H.M. White. 2020. Symposium review: one-carbon metabolism and methyl donor nutrition in the dairy cow. J. Dairy Sci. 103(6):5668-5683. https://doi.org/10.3168/jds.2019-17319.
7. Barrientos, J., H. White, R. Shaver, and V. Cabrera. 2020. Improving nutritional accuracy and economics through multiple ration-grouping strategy. J. Dairy Sci. 103:3774-3785. https:///doi.org/10.3168/jds.2019-17608.
8. Pralle, R.S. and H.M. White. 2020. Symposium review: big data, big predictions: utilizing milk Fourier-transform infrared and genomics to improve hyperketonemia management. J. Dairy Sci. 103(4):3867-3873. https://doi.org/10.3168/jds.2019-17379.

2019

1. Chandler, T.L. and H.M. White. 2019. Glucose metabolism is differentially altered by choline and methionine in bovine neonatal hepatocytes. PloS ONE. 14(5):e0217160. https://doi.org/10.1371/journal.pone.0217160.
2. Weld, K.A., S.J. Erb, and H.M. White. 2019. Short communication: Effect of manipulating fatty acid profile on gluconeogenic gene expression in bovine primary hepatocytes. J. Dairy Sci. 102(8):7576-7582. https://doi.org/10.3168/jds.2018-16150.
3. Caputo Oliveira, R., K.J. Sailer, H.T. Holdorf, C.R. Seely, R.S. Pralle, M.B. Hall, N.M. Bello, and H.M. White. 2019. Postpartum supplementation of fermented ammoniated condensed whey improved feed efficiency and plasma metabolite profile. J. Dairy Sci. 102(3):2283-2297. https://doi.org/10.3168/jds.2018-15519. *Editor’s Choice for March 2019.
4. Zhang, Q. and H.M. White. 2019. Short communication: the effect of increasing concentrations of different methionine forms and 2-hydroxy-4(methylthio)butanoic acid on genes controlling methionine metabolism in primary bovine neonatal hepatocytes. J. Dairy Sci. 102:866-870. https://doi.org/10.3168/jds.2018-15098.

2018

1. Pralle, R.S., K.A. Weigel, and H.M. White. 2018. Predicting blood B-hydroxybutyrate using milk Fourier transform infrared spectrum, milk composition, and producer-reported variables with multiple linear regression, partial least squares regression, and artificial neural network. J. Dairy Sci. 101:4378-4387. https://doi.org/10.3168/jds.2017-13209.
2. Oliveira, R.C., R.S. Pralle, L.C. de Resende, C.H.P.C. Nova, V. Caprarulo, J.A. Jendza, A. Troescher, and H.M. White. 2018. Prepartum supplementation of conjugated linoleic acids (CLA) increased milk energy output and decreased serum fatty acids and B-hydroxybutyrate in early lactation dairy cows. PLoS ONE. 13:e0197733. https://doi.org/10.1371/journal.pone.0197733.
3. Chandler, T.L., R.S. Pralle, J.R.R. Dorea, S.E. Poock, G.R. Oetzel, R.H. Fourdraine, H.M. White. 2018. Predicting hyperketonemia by logistic and linear regression using test-day milk and performance variables in early lactation Holstein and Jersey cows. J. Dairy Sci. 101:2476-2491. https://doi.org/10.3168/jds.2017-14076.
4. Sailer, K.J., R.S. Pralle, R.C. Oliveira, S.J. Erb, G.R. Oetzel, and H.M. White. 2018. Technical note: Validation of the BHBCheck blood B-hydroxybutyrate meter as a diagnostic tool for hyperketonemia in dairy cows. J. Dairy Sci. 101:1524-1529. https://doi.org/10.3168/jds.2017-13583.

2017

1. Chandler, T.L. and H.M. White. 2017. Choline and methionine differentially alter methyl carbon metabolism in bovine neonatal hepatocytes. PLoS ONE. 12(2):e0171080. https://doi.org/10.1371/journal.pone.0171080.
2. Zhang, Q.Z. and H.M. White. 2017. Regulation of inflammation, antioxidant production, and methyl-carbon metabolism during methionine supplementation in lipopolysaccharide-challenged neonatal bovine hepatocytes. J. Dairy Sci. 100:1-13. https://doi.org/10.3168/jds.2017-12932.
3. Rathbun, F.M. R.S. Pralle, S.J. Bertics, L.E. Armentano, K. Cho, C. Do, K.A. Weigel, and H.M. White. 2017. Relationships between body condition score change, prior mid-lactation phenotypic residual feed intake and hyperketonemia onset in transition dairy cows. J. Dairy Sci. 100:3685-3696. https://doi.org/10.3168/jds.2016.12085.
4. Pei, R. D.M. DiMarco, K.K. Putt, D.A. Martin, Q. Gu, C. Chitchumroonchokchai, H.M. White, C.O. Scarlett, R.S. Bruno, and B.W. Bolling. 2017. Low-fat yogurt consumption reduces biomarkers of chronic inflammation and inhibits markers of endotoxin exposure in healthy premenopausal women: a randomised controlled trial. Brit. J. Nutri. 118(12):1043-1051. https://doi.org/10.1017/S0007114517003038.
5. Putt, K.K., R. Pei, H.M. White, and B.W. Bolling. 2017. Yogurt inhibits intestinal barrier dysfunction in Caco-2 cells by increasing tight junctions. Food Funct. 8:406. https://doi.org/10.1039/C6FO01592A.
6. Chandler, T.L., R.T. Fugate, J.A. Jendza, A. Troescher, and H.M. White. 2017. Conjugated linoleic acid supplementation during the transition period increased milk production in primiparous and multiparous dairy cows. Anim. Feed Sci. Technol. 224:90-103. https://doi.org/10.1016/j.anifeedsci.2016.12.008.

2016

1. Walker, C.G., M.A. Crookenden, K.M. Henty, R.R. Handley, B. Kuhn-Sherlock, H.M. White, S.S. Donkin, R.G. Snell, S. Meier, A. Heiser, J.J. Loor, M.D. Mitchell, and J.R. Roche. 2016. Epigenetic regulation of pyruvate carboxylase gene expression in the postpartum liver. J. Dairy Sci. 99:5820-5827. https://doi.org/10.3168/jds.2015-10331.
2. Zhang, Q., S.J. Bertics, N.D. Luchini, and H.M. White. 2016. The effect of increasing concentrations of DL-methionine and 2-hydroxy-4-(methylthio)butanoic acid on hepatic genes controlling methionine regeneration and gluconeogenesis. J. Dairy Sci. 99:8451-8460. https://doi.org/10.3168/jds.2016-11312.
3. White, H.M., E.R. Carvalho, S.L. Koser, N.S. Schmelz-Roberts, L.M. Pezzanite, A.C. Slabaugh, P.H. Doane, and S.S. Donkin. 2016. Short communication: Regulation of hepatic gluconeogenic enzymes by dietary glycerol in transition dairy cows. J. Dairy Sci. 99:812-817. https://doi.org/10.3168/jds.2015-9953.
4. White, H.M. 2016. Invited paper published in conference proceedings. Transition cow nutrition and hepatic metabolic health. Southwest Nutrition and Management Conference.
5. White, H.M. 2016. Invited paper published in conference proceedings. Hepatic methyl metabolism: Influencing success during the transition to lactation. Southwest Nutrition and Management Conference.

2015

1. White, H.M. 2015. The role of TCA cycle anaplerosis in ketosis and fatty liver in periparturient dairy cows. Animals. 5(3):793-802. https://doi.org/10.3390/ani5030384.
   

2014

1. McCann, C.C., M.E. Viner, S.S. Donkin, and H.M. White. 2014. Hepatic patatin-like phospholipase domain-containing 3 sequence, SNP presence, and protein confirmation and responsiveness to energy balance in dairy cows. J. Dairy Sci. 97:1-9. https://doi.org/10.3168/jds.2014-7910.
2. Grala, T.M., J.R. Roche, J.K. Kay, A.G. Ruis, H.M. White, S.S. Donkin, M.D. Littlejohn, R.G. Snell, and C.V.C. Phyn. 2014. The expression of genes involved in hepatic metabolism is altered by temporary changes to milking frequency. J. Dairy Sci. 97:838-850. https://doi.org/10.3168/jds.2013-7321.
3. White, H.M., A.J. Acton, M.M Kamocka, and R.V. Considine. 2014. Hepatocyte growth factor regulates neovascularization in developing fat pads. Am. J. Physiol. Endrocrinol. Metab. 306:E189-196. https://doi.org/10.1152/ajpendo.00394.2013.
4. White, H.M. 2014. Invited paper published in conference proceedings. Transition cow health: meeting demands of lactation while maintaining a healthy liver. Four-state Dairy Nutrition Management Conference.

2013

1. Grala, T.M., J.R. Roche, J.K. Kay, A.G. Rius, H.M. White, S.S. Donkin, M.D. Littlejohn, R.G. Snell, and C.V.C. Phyn. 2013. The expression of genes involved in hepatic metabolism is altered by temporary changes to milking frequency. J. Dairy Sci. 97:838-850. https://doi.org/10.3168/jds.2013-7321.

2012

1. Carvalho, E.R., N.S. Schmelz-Roberts, H.M. White, C.S. Wilcox, S.D. Eicher, and S.S. Donkin. 2012. Feeding behaviors of transition dairy cows fed glycerol as a replacement for corn. J. Dairy Sci. 95:7214-7224. https://doi.org/10.3168/jds.2010-3584.
2. White, H.M., S.L. Koser, and S.S. Donkin. 2012. Regulation of bovine pyruvate carboxylase mRNA and promoter expression by thermal stress. J. Anim. Sci. 90:2979-2987. https://doi.org/10.2527/jas.2010-3408.
3. White, H.M., A.J. Acton, and R.V. Considine. 2012. The angiogenic inhibitor TNP-470 decreases caloric intake and weight gain in high fat fed mice. Obesity. 20:2003-2009. https://doi.org/10.1038/oby.2012.87.
4. White, H.M., S.L. Koser, and S.S. Donkin. 2012. Gluconeogenic enzymes are differentially regulated by fatty acid cocktails in Madin-Darby bovine kidney cells. J. Dairy Sci. 95:1249-1256. https://doi.org/10.3168/jds.2011-4644.
5. White, H.M., S.S. Donkin, M.C. Lucy, T.M. Grala, and J.R. Roche. 2012. Short communication: Genetic differences between New Zealand and North American diary cows alter milk production and gluconeogenic enzyme expression. J. Dairy Sci. 95:455-459. https://doi.org/10.3168/jds.2011-4598.
6. White, H.M., B.R. Richet, M.A. Latour. Impacts of nutrition and environmental stressors on lipid metabolism. Lipid Metab. Ed. R. Valenzuela.

2011

1. White, H.M., S.L. Koser, and S.S. Donkin. 2011. Differential regulatio of bovine pyruvate carboxylase promoters by fatty acids and peroxisome proliferator-activated receptor-a agonist. J. Dairy Sci. 94:3428-3436. https://doi.org/10.3168/jds.2010-3960.
2. White, H.M., S.L. Koser, and S.S. Donkin. 2011. Bovine pyruvate carboxylase 5′ UTR variant expression during transition to lactation and feed restriction in dairy cows. J. Anim. Sci. 89:1881-1892. https://doi.org/10.2527/jas.2010-3697.
3. White, H.M., S.L. Koser, and S.S. Donkin. 2011. Characterization of bovine pyruvate carboxylase promoter 1 responsiveness to serum from control and feed-restricted cows. J. Anim. Sci. 89:1763-1768. https://doi.org/10.2527/jas.2010-3407.
4. Carvalho, E.R., M.L. Lima, A.F. Franca, J.J. Fernandes, H.M. White, and S.S. Donkin. 2010. An alternative methodology of determining feed sorting in transition dairy cows fed glycerol. Ci. Anim. Bras. 11:825-834. https://doi.org/10.5216/cab.v11i4.9698.
5. Carvalho, E.R., N.S. Schmelz-Roberts, H.M. White, P.H. Doane, and S.S. Donkin. 2011. Replacing corn with glycerol in diets for transition dairy cows. J. Dairy Sci. 94:908-916. https://doi.org/10.3168/jds.2010-3581.

2010

1. Wert, K.M., N.R. Augspurger, J.D. Spencer, H.M. White, A.P. Schinckel, and M.A. Latour. 2010. Effects of distillers dried grains with soluble and growmega on bratwurst meat quality. Prof. Anim. Sci. 25:695-700.

2009

1. White, H.M., B.T. Richert, J.S. Radcliffe, A.P. Schinckel, J.R. Burgess, S.L. Koser, S.S. Donkin, and M.A. Latour. 2009. Feeding conjugated linoleic acid partially recovers carcass quality in pigs fed dried distillers grains with solubles. J. Anim. Sci. 87:157-166. https://doi.org/10.2527/jas.2007-0734.
2. Donkin, S.S., S.L. Koser, H.M. White, P.H. Doane, and M.J. Cecava. 2009. Feeding value of glycerol as a replacement for corn grain in rations fed to lactating dairy cows. J. Dairy Sci. 92(10):5111-5119. https://doi.org/10.3168/jds.2009-2201.

2008

1. Latour, M.A., B.T. Richert, J.S. Radcliffe, A.P. Schinckel, and H.M. White. 2008. Effects of feeding restaurant grease with or without conjugated linoleic acid or phase-integrated beef tallow on finishing pig growth characteristics and carcass fat quality. Prof. Anim. Sci. 24(2):156-160. https://doi.org/10.15232/S1080-7446(15)30830-5.
2. White, H.M., J.R. Burgess, A.P. Schinckel, S.S. Donkin, and M.A. Latour. 2008. Effects of temperature stress on growth performance and bacon quality in grow-finish pigs housed at two densities. J. Anim. Sci. 86:1789-98. https://doi.org/10.2527/jas.2007-0801.

2007

1. Legan, E.M., H.M. White, A.P. Schinckel, A.M. Gaines, and M.A. Latour. 2007. Evaluating growth and carcass changes in cull gilts fed distillers dried grains wtih solubles. Prof. Anim. Sci. 23(6):715-720. https://doi.org/10.15232/S1080-7446(15)31030-5.