Update of Economic Breeding Index

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1 Update of Economic Breeding Index Donagh Berry, Siobhan Ring, Alan Twomey, Alan Hurley, Morgan O Sullivan, Sinead McParland Teagasc, Moorepark, Ireland Donagh.berry@teagasc.ie

2 Relative emphasis Evolution of the EBI 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Milk Fertility Calving Beef Maintenance Health Management

3 Sub-index Trait Weight Emphasis Emphasis Milk (kg) % Production Fat (kg) % 33% Protein (kg) % Fertility Calving interval (d) % 35% Survival (%) % Calving difficulty dir (%) % Calving Calving difficulty mat (%) % Gestation (d) % 9% Maintenance Calf mortality (%) % Cow (kg) % 7% Carcase weight (kg) %

4 Breeding objectives CAN USA NLD UK AUS NZL USA 0.84 NLD UK AUS NZL

5 NextGen results National Average Elite Days in milk Milk solids to date (kg) Fat % Protein % Live-weight BCS Submission 3 weeks (%) wk in-calf rate (%) wk in-calf rate (%) 69 91

6 NextGen results

7 Economic values Milk price (29.5 c/l) International projections (e.g., RaboBank) does not suggest otherwise Feed prices ( 250/t) No reason to change Farmer feedback Live-weight

8 Missing suites of traits Product quality Fatty acid content, protein profile, processing ability BreedQuality Environmental load (incl. feed intake) Methane, nitrogen, feed intake RapidFeed Health (incl. disease) and welfare Production diseases HealthyGenes

9 Animal health Genetics creates the potential Disease destroys the potential Management realises the potential Animal health is the new fertility and breeding has a role in its control

10 Heritability Breeding possible?? Fertility ~3% Limiting factor is data! 0.00 Trait

11 Categories of traits Close to implementation TB, cystic ovaries Data available but no genetic parameters Johnes, IBR, cow health traits, calf health traits, claw health Data not available and no genetic parameters Liver-fluke, pneumonia, neospora, salmonella,

12 Axis Title Animal Health Lameness Mastitis Predicted Daughter prevalence probability of TB Cow Incidence Herd incidence Daughter prevalence Tuberculosis Cystic ovaries Worse 10% PTA 31% 13% Best 10% PTA 5% 8% Daughter prevalence Daughter prevalence

13 Number of sires Liver-fluke Predicted probability of Fluke Cow Incidence Daughter prevalence 30 daughters 10 herds N=86 Herd incidence Worse 10% PTA 41% 45% Best 10% PTA 47% 48%

14 Number of Sires IBR % heritable Prevalence (%)

15

16

17 Hoof disorders Overgrown Bruising White Line 50% of cows had at least one hoof-disorder

18 Breeding for reduced lameness Overgrown Bruising White Line 8% heritable 24% heritable 21% heritable

19 Expected response to selection

20 Product quality

21 Proportion Saturated fatty acid content Saturated fat content in fat (%)

22 Proportion Saturated fatty acid content National Average Elite P< Saturated fat content in fat (%)

23 Proportion Casein content National Average Elite P< Casein content

24 Proportion Omega-3 content in fat National Average Elite P=NS Omega3 content in fat (%)

25 Mid-infrared spectroscopy (MIR) Fatty acids Protein composition Coagulation properties Value Wavelength

26 Feed intake and efficiency

27 Number of sires Feed intake and efficiency Feed intake for same yield and body size t DM/lactation 6 t DM/cow Feed intake (kg DM/day)

28 Fat:protein and energy balance MIR reading Pin Number Milk fat content Milk protein content : Predicted Energy Balance

29 Energy Balance MJ/day True & MIR-predicted Energy Balance Week of Lactation JDS. 98:

30 Energy Intake MJ/day True & MIR-predicted Energy Intake Week of Lactation JDS. 98:

31 Intake predicted for Belgian Holsteins ADSA 2013 (Bastin)

32 Genetic parameters Heritability True Predicted (IRL) Predicted (BEL) Energy Intake 0.35(0.02) 0.20 (0.01) 0.20 Energy Balance 0.16(0.02) 0.10(0.01) 0.43 RFI 0.10(0.05) 0.16(0.01) - r g True & predicted EB = 0.54 r g True & predicted intake = 0.84 JDS. 98: WCGALP 2014 (McParland) ADSA 2013 (Bastin)

33 Validation of genetic evaluations Breeding values predicted for intake 198 animals with actual intake recorded MIR predicted intake for these animals removed from genetic evaluation EBV (MJ/d) Actual intake (MJ/d) Low Medium High

34 Accuracy of prediction International Genomic Evaluations Single country Multi-country No country phenotypes

35 Conclusions Breeding is for 7-10 years time What will the likely issues be? Animal health and disease, feed intake and efficiency, product quality

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