Extending genomic evaluations to direct health traits in ... · Extending genomic evaluations to...

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Extending genomic evaluations to direct health traits in Jerseys Laura Jensen, Kristen Parker Gaddis, Duane Norman Council on Dairy Cattle Breeding, Bowie, MD

Transcript of Extending genomic evaluations to direct health traits in ... · Extending genomic evaluations to...

Page 1: Extending genomic evaluations to direct health traits in ... · Extending genomic evaluations to direct health traits in Jerseys Laura Jensen, Kristen Parker Gaddis, Duane Norman

Extending genomic evaluations to direct health traits in Jerseys

Laura Jensen, Kristen Parker Gaddis, Duane Norman

Council on Dairy Cattle Breeding, Bowie, MD

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Introduction

• Disease resistance through genetic selection is another tool to

reduce on farm expenses

• CDCB currently has health evaluations for Holsteins (April 2018)

• Jerseys are the second most prevalent breed in the U.S.

• Traits (measured as disease resistance): Milk Fever, Displaced

Abomasum, Ketosis, Mastitis, Metritis, Retained Placenta

ADSA 2019 Annual Meeting, 25 June 2019 – 2

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PHENOTYPIC SUMMARY

ADSA 2019 Annual Meeting, 25 June 2019 –3

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Phenotypic Data

Resistance To Animals ObservationsMilk Fever 42,842 65,502Displaced Abomasum 40,707 59,874Ketosis 23,783 39,716Mastitis 60,980 97,507Metritis 46,811 70,214Retained Placenta 38,834 59,808Total 79,334 134,403

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All Parities Incidence Rates

Milk Fever = 1.1%

Displaced Abomasum = 0.7%

Ketosis = 2.6%

Mastitis = 11.7%

Metritis = 5.3%

Retained Placenta = 2.1%

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GENETIC EVALUATIONS

ADSA 2019 Annual Meeting, 25 June 2019 – 6

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Methodology

• Univariate linear animal repeatability model

• Same model used for Holstein health

evaluations

• Fixed effects: year-season, age at calving by

parity, and regression on inbreeding

• Random effects: herd-year, additive genetic,

permanent environment, and residual

ADSA 2019 Annual Meeting, 25 June 2019 –7

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Overview

• 79k markers (those used in CDCB

routine genomic evaluations)

• SNP effects estimated using a

model similar to BayesA

• 310,232 Jerseys genotyped

• RELs ~15 points lower than

Holsteins

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Resistance To Average RELMilk Fever 29%Displaced Abomasum

30%

Ketosis 30%Mastitis 35%Metritis 31%Retained Placenta 30%

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Genomic Reliabilities of Old and Young Jerseys (n=310,232)

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Resistance To Old/yng MAX genREL

MEAN genREL

SD genREL

Milk Fever Old 85% 32% 5%Milk Fever Yng 46% 29% 4%Displaced Abomasum Old 90% 34% 5%Displaced Abomasum Yng 52% 30% 4%Ketosis Old 87% 32% 5%Ketosis Yng 47% 29% 4%Mastitis Old 97% 42% 7%Mastitis Yng 69% 34% 5%Metritis Old 92% 35% 6%Metritis Yng 55% 31% 4%Retained Placenta Old 90% 33% 5%Retained Placenta Yng 50% 30% 4%

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Genomic EBVs of Jerseys (n=310,232)

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Resistance To Min gEBV Max gEBV Mean gEBV SD gEBVMilk Fever -1.42 0.84 -0.12 0.14Displaced Abomasum -2.55 1.11 0.08 0.23Ketosis -3.22 2.14 -0.03 0.48Mastitis -10.57 8.74 0.24 1.59Metritis -5.20 3.27 0.20 0.81Retained Placenta -3.52 1.16 0.02 0.30

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PTA CORRELATIONS

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Overview

• Instead of doing bivariate or multivariate

models we used PTA correlations to predict

the genomic correlations

• Health traits measure disease resistance

• Bulls with NM$ >99 REL, born before 1990

• n = 137 bulls

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PTA Correlations for Health and Yield Traits (n=137)

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Resistance To Breed Milk Fat Protein SCSMilk Fever Jersey -0.34* -0.28* -0.29* 0.12Milk Fever Holstein -0.07 -0.01 -0.09 -0.02Displaced Abomasum Jersey 0.09 -0.07 0.09 0.07Displaced Abomasum Holstein 0.09 0.12* 0.22* -0.18*Ketosis Jersey 0.20* 0.39* 0.35* -0.07Ketosis Holstein 0.08 0.24* 0.28* 0.47*Mastitis Jersey -0.34* -0.18* -0.31* -0.41*Mastitis Holstein 0.01 0.12* 0.06 -0.70*Metritis Jersey 0.18* 0.18* 0.30* -0.02Metritis Holstein 0.25* 0.28* 0.32* -0.14*Retained Placenta Jersey 0.03 0.28* 0.20* -0.16Retained Placenta Holstein 0.03 0.05 -0.06 -0.02

*significantly different from 0 at p<0.05

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PTA Correlations for Health and Functional Traits (n=137)

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Resistance To Breed PL LIV DPR HCR CCRMilk Fever Jersey -0.06 0.36* 0.05 0.08 0.16Milk Fever Holstein -0.04 0.11* -0.03 -0.03 -0.07Displaced Abomasum Jersey 0.13 0.29* 0.08 0.13 -0.02Displaced Abomasum Holstein 0.43* 0.44* 0.29* 0.20* 0.23*Ketosis Jersey 0.18* 0.12 0.06 0.05 0.06Ketosis Holstein 0.47* 0.40* 0.37* 0.21* 0.28*Mastitis Jersey 0.27* 0.18* 0.19* 0.01 0.18*Mastitis Holstein 0.51* 0.37* 0.31 0.15* 0.30*Metritis Jersey 0.26* 0.30* 0.21 0.23* 0.25*Metritis Holstein 0.44* 0.34* 0.37* 0.19* 0.37*Retained Placenta Jersey 0.16 0.13 0.09 0.15 0.23*Retained Placenta Holstein 0.12* 0.10 0.09 0.09 0.09

*significantly different from 0 at p<0.05

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PTA Correlations between Health Traits (n=137)

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Resistance To Breed Avg REL MFEV DA KETO MAST METR RETPMilk Fever JE 51% 1Milk Fever HO 76% 1Displaced Abomasum JE 57% 0.22* 1Displaced Abomasum HO 87% 0.16* 1Ketosis JE 53% 0.05 0.24* 1Ketosis HO 85% 0.13* 0.66* 1Mastitis JE 77% 0.04 -0.14 -0.22* 1Mastitis HO 95% 0.08 0.15* 0.20* 1Metritis JE 61% 0.07 0.25* 0.33* -0.08 1Metritis HO 89% -0.05 0.30* 0.35* 0.20* 1Retained Placenta JE 56% 0.14 -0.09 0.40* -0.02 0.46* 1Retained Placenta HO 88% 0.09 0.03 0.08 0.16* 0.48* 1

*significantly different from 0 at p<0.05

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GENOMIC AND PHENOTYPIC TRENDS

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Milk Fever Resistance

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Displaced Abomasum Resistance

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Ketosis Resistance

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Mastitis Resistance

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Metritis Resistance

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Retained Placenta Resistance

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SUMMARY

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Increasing health records• Current Jersey health records submitted (May

2019)

• Milk fever = 102,509 57% increase

• Displaced Abomasum = 80,746 35% increase

• Ketosis = 59,252 49% increase

• Mastitis = 213,271 119% increase

• Metritis = 105,994 51% increase

• Retained Placenta = 101,830 70% increase

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What’s next?

• Internal test run using Aug. 2019 data

• Release preliminary results to appropriate

collaborators

• Implement Jersey health evaluations

• Include in Interbull test run for mastitis

ADSA 2019 Annual Meeting, 25 June 2019 –25

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Special thanks to:

• DRPCs

• American Jersey Association and Cari Wolfe

• Dairy Producers

• Thais Cassel for the beautiful paintings

throughout the presentation

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Thank you!