Genomic Evaluation of Dairy Heifer Livability and Genetic Correlations

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Explore the development of a genomic evaluation system for heifer livability and the estimation of genetic correlations with other traits in US dairy cattle. Discover the importance of heifer survival from economic, genetic, and animal welfare perspectives, alongside insights on heritability estimates and data analysis methodologies.

  • Livability
  • Genetic Correlations
  • Dairy Heifer
  • Genomic Evaluation
  • Heritability

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  1. Genomic Evaluation of Dairy Heifer Livability M. Neupane, J.L. Hutchison, C.P. Van Tassell, and P.M. VanRaden Genomic evaluation system for heifer livability was developed Traditional and genomic predicted transmitting abilities for heifer livability and its genetic correlation with other traits included in net merit dollars was estimated USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD, USA Presenter Neupane Meeting, Location, Date (1) American Dairy Science Association annual meeting (virtual), June 22-24 2020 (1)

  2. Background Heifer livability is important from economic, genetic, and animal welfare perspectives 1-4 Preweaned (6.4%) and weaned (1.9%) heifer loss: digestive and respiratory diseases 3 Differences among breeds and sires suggest genetic component of heifer livability 5 1Gulliksen et al., 2009; 2Chamberlain, 2012 3NAHMS 2014; 4Gonzalez-Pe a et al. 52019 Koch et al., 1994 Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (2)

  3. Heifer livability Low level of heritability (0.001 0.06) associated with heifer mortality 1-6 US genetic evaluation in dairy cattle includes still birth (loss within 48 hours of birth) and cow livability Gap of knowledge in heifer survival from 48 hours to start of productive life 1Hansen et al., 2003; 2Fuerst-Waltl and S rensen, 2010 3Henderson et al., 2011; 4Pritchard et al., 2013 5VanRaden et al., 2016; 6Mahmoud et al., 2017 Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (3)

  4. Objectives To develop a genomic evaluation system for heifer livability To estimate traditional and genomic PTAs with reliabilities To estimate genetic correlation between PTA of heifer livability and other traits already included in US dairy genetic evaluation system Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (4)

  5. Methodology: Data Extracted data from CDCB database (birth years 2009 16) 3,362,499 dairy heifer data records Herds with death loss of 1 25% Heifers <2 days old not evaluated (used in stillbirth) Heifers up to 18 months old used Total number of deaths = 134,753 (4.01%) Holstein, 89.2% Jersey, 4.9% Cross Breed, 4.7% Livability scored as 100 (alive) or 0 (dead) Heritability estimate of 0.4% by sire model REML (VanRaden et al., 2016) Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (5)

  6. Covariates Parity of dam 1,2 First parity dam was further divided into three groups; < 22 mo, between 22-25 mo, and > 25 mo Embryo transferred heifers were recorded as separate group Herd-year-season of birth (HYS) 1Hansen et al., 2003 2Hutchison et al., 2017 Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (6)

  7. Predicted transmitting abilities (PTA) PTAs were calculated using the animal model: HLIV = HYS + PG + a + e 2,922,969 genotyped Holstein and 371,275 genotyped Jersey heifers All animals genotyped on various platforms were imputed to 79,294 markers using Findhap version 3 1,2 1VanRaden et al., 2011; 2Wiggans et al., 2019 Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (7)

  8. Results: heifer mortality Total deaths = 4.01%, less than average loss of 8.3% (NAHMS, 2014) 20 18 16 Percentage of losses (%) 14 12 10 8 6 4 2 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Age at deaths (in mo) Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (8)

  9. PTA Genomic Pedigree-based Breed Mean SD REL Mean SD REL HO 1.6 0.5 46 1.2 0.8 16 JE 0.5 0.2 30 0.3 0.4 12 Calves from older than 2-year-old dams perform better than youngest dams Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (9)

  10. Results: Genetic correlation with other traits in HO Traits Productive life Milk Fat Protein Cow livability Daughter pregnancy rate Heifer conception rate Cow conception rate Early first calving Gestation length Somatic cell score Correlation 0.44 0.34 0.33 0.36 0.21 0.08 0.17 0.19 0.36 -0.31 -0.18 Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (10)

  11. Economics Decreased cost of replacement heifer and improved genetic gain Strong genetic correlation (0.55) between genomic heifer livability PTA with NM$ Average cost of heifer loss of $500 (200-1400) Based on NM calculation1 : 1% of emphasis on net merit index and economic progress of $0.05 million per year 1 https://aipl.arsusda.gov/reference/nmcalc-2018.htm Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (11)

  12. Conclusions Heifer livability is positively correlated with NM$, productive life, and fertility traits More precise and detailed recordings on calf mortality: increased reliabilities Routine genetic evaluation of heifer livability: increased profitability and improved animal health and welfare Heifer livability: new trait in CDCB genomic evaluation in December 2020 Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (12)

  13. Acknowledgments& disclaimers USDA-ARS project 8042-31000-002-00, Improving Dairy Animals by Increasing Accuracy of Genomic Prediction, Evaluating New Traits, and Redefining Selection Goals CDCB and its industry suppliers for data USDA is an equal opportunity provider and employer Mention of trade names or commercial products in this presentation is solely for the purpose of providing specific information and does not imply recommendation or endorsement by USDA Neupane American Dairy Science Association annual meeting (virtual), June 22-24 2020 (13)

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