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200 3 P.M. VanRaden P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD [email protected] Genetic Evaluations Genetic Evaluations for Fitness and for Fitness and Fertility in the US Fertility in the US and Other Nations and Other Nations

Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Genetic Evaluations for Fitness and Fertility in the US and Other Nations. Which Traits?. “A key priority in research and education should be to identify those traits that really affect cost of producing milk and concentrate selection on them” ( McDaniel, 1976 National Workshop) - PowerPoint PPT Presentation

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Page 1: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

2003

P.M. VanRadenP.M. VanRadenAnimal Improvement Programs LaboratoryAgricultural Research Service, USDA, Beltsville, [email protected]

Genetic Evaluations for Genetic Evaluations for Fitness and Fertility in the Fitness and Fertility in the

US and Other NationsUS and Other Nations

Page 2: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

National Dairy Genetics Workshop – Fertility Evaluations (2) P.M. VanRaden200

3

Which Traits?Which Traits?

“A key priority in research and education should be to identify those traits that really affect cost of producing milk and concentrate selection on them” (McDaniel, 1976 National Workshop)

Still good advice today

Page 3: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

National Dairy Genetics Workshop – Fertility Evaluations (3) P.M. VanRaden200

3

Genetic progressGenetic progress

G = accuracy genetic SD selection intensity generation interval

(Dickerson & Hazel, 1944)

Page 4: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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3

Heritability of N RecordsHeritability of N Records= N h**2 / [1 + (N – 1) Repeatability]= N h**2 / [1 + (N – 1) Repeatability]

(Lush, 1948)(Lush, 1948)

TraitRepeat-ability

Lactations

1 2 3 4 5Protein .55 .30 .39 .43 .45 .47SCS .35 .10 .15 .18 .20 .21DPR .13 .04 .07 .10 .12 .13PL .04 .07 .08 .085

Page 5: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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3

Average accuracyAverage accuracy= square root of reliability / 100= square root of reliability / 100

Cows born 1995

Bulls born 1994-98

Protein (kg) .71 .92SCS .60 .77PL .58 .78DPR .57 .75Service sire CE .55 .85Daughter CE .54 .77Feet & Legs .62 .84

Page 6: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

National Dairy Genetics Workshop – Fertility Evaluations (6) P.M. VanRaden200

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Coefficients of variation (CV)Coefficients of variation (CV)

Trait MeanPheno-

typic SD

CV (%)Pheno typic

Gen-etic

Protein (lb) 692 91 13 7Stature (in) 57 1.6 3 2

PL (mo) 24 13 54 16DPR (%) 23 15 65 13

DPR = daughter pregnancy rate, PL = productive life,

Page 7: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

National Dairy Genetics Workshop – Fertility Evaluations (7) P.M. VanRaden200

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Trait HarmonizationTrait HarmonizationMark, 2003 EAAP meetingMark, 2003 EAAP meeting

Trait

Countries

Average corr.

Avg. cor w / USA

Protein 27 .87 .89Stature 21 .89 .90Fore Udd. 21 .75 .79SCS 20 .85 .86Longevity 14 .59 .74SCE 10 .83 .86DCE 10 .58 .64

Page 8: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

National Dairy Genetics Workshop – Fertility Evaluations (8) P.M. VanRaden200

3

MACE Longevity CorrelationsMACE Longevity CorrelationsJakobsen, 2003 Interbull meetingJakobsen, 2003 Interbull meeting

USA DEU FRA NZL NLD CAN GBRUSA .83 .61 .55 .80 .93 .83DEU .65 .44 .83 .81 .74FRA .40 .68 .62 .51NZL .43 .52 .58NLD .80 .70CAN .89Avg (14)

.74 .69 .62 .49 .68 .73 .67

Page 9: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

National Dairy Genetics Workshop – Fertility Evaluations (9) P.M. VanRaden200

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MACE for Calving EaseMACE for Calving EaseJakobsen, 2003 Interbull meetingJakobsen, 2003 Interbull meeting

Avg. cor (10 x 10) USA DEU FRA NZL NLD CAN DNK

Service sire CE

.86 .87 .85 .69 .81 .75 .90

Daugh-ter CE

.64 .54 .68 … .68 .78 .59

USA cor DEU FRA NZL NLD CAN DNKSCE .70 .82 .72 .86 .82 .94

DCE .61 .92 … .93 .88 .76

Page 10: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Pregnancy RatePregnancy Rate

Rate that cows become pregnant Can be derived from days open

Non-linear: 21 / (DO – VWP + 11) Linear approx: (233 – DO) / 4

Advantages over days open Positive numbers are desirable Earlier measure of herd fertility

Page 11: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Pregnancy Rate vs Days OpenPregnancy Rate vs Days Open

0102030405060708090

100

60 81 102 123 144 165 186 207 228 249Number of Chances

Preg

nanc

y R

ate

987654321

Days Open

Page 12: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Cow Fertility TraitsCow Fertility Traits Evaluated in Largest Holstein Populations Evaluated in Largest Holstein Populations

CountryTrait USA DEU FRA NZL NLD CAN GBR AUS

Ability to cycle Yes Yes Yes

Ability to conceive Yes Yes Yes Yes

Combined trait Yes Yes Yes Yes Yes

Emphasis 7% 2% 13% 10% 7% 8%

Page 13: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Prediction of UK Calving IntervalPrediction of UK Calving IntervalWall et al, 2003 Interbull meetingWall et al, 2003 Interbull meeting

Country, trait BullsMin Rel

UK Rel

PTA Corr.

USA preg rate 108 70 65 .76AUS preg rate 65 70 50 .73NLD fert. index 46 60 60 .71IRL calv. int. 68 65 70 .69DNK fert. index 103 70 60 .51NZL fert. index 42 60 50 .51

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International Fertility CorrelationsInternational Fertility Correlations UK, DEU, FRA, NLD (Wall, 2003)

Non-return, PTA correlation avg = .54 DNK, FIN, SWE (Mark, 2001)

Days to 1st AI, genetic cor avg = .67 Non-return rate, genetic cor avg = .44

Ayr from NOR, DNK, FIN, SWE (Svendsen, 2001) Fertility index, genetic cor avg = .73

Page 15: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Value of Cow FertilityValue of Cow Fertility Optimum days open

Pregnancy rate affects mean and variance Reduced yield/day vs longer lactations

Fertility expenses per day open Heat detection ($20 / lact .005) = $.10 Semen ($15 / unit + $5 labor) *.025 = $.50 Pregnancy exam ($10 / exam)*.012 = $.12 Lactations too long or short = $.75

Relative value of DPR = 7% of total

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Value of Calving EaseValue of Calving Ease

Daughter CE value / difficult birth Veterinary, labor costs = $50 Calf death (20% prob) = $25 Cow deaths before 1st test (1% prob) = $15

Service sire CE also includes Yield losses / lactation = $40 Fertility and longevity losses = $30

Relative values of each are 2% of total

Page 17: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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National Selection Indexes:National Selection Indexes:Yield and Health TraitsYield and Health Traits

Country (Interbull Code)USA USA DEU FRA NZL NLD CAN GBR AUS ITA DNK SWE

% of Interbull Population 17.4 15.3 12.3 10.6 9.3 4.7 4.7 4.5 4.3 4.1 1.5

Index Name NM$ New RZG ISU BW DPS LPI PLI APR PFT S – I TMI

TraitProtein 36 33 36 35 34 35 43 57 36 42 21 21

Fat 21 22 9 10 13 8 14 11 12 12 10 4Milk 5 0 -17 -14 -19 -20 -3 -4

% Protein 4 2 3% Fat 1 2 2

Longevity 14 11 25 13 8 12 8 15 12 8 6 6SCS / mastitis 9 9 5 13 11 3 7 10 15 12

Fertility 7 2 13 10 7 9 10Other diseases 2 3

Page 18: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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National Selection Indexes:National Selection Indexes:Conformation and Management TraitsConformation and Management Traits

Country (Interbull Code)USA USA DEU FRA NZL NLD CAN GBR AUS ITA DNK SWE

% of Interbull Population 17.4 15.3 12.3 10.6 9.3 4.7 4.7 4.5 4.3 4.1 1.5Index Name NM$ New RZG ISU BW DPS LPI PLI APR PFT S – I TMI

TraitUdder traits 7 7 6 8 17 13 9 12

Feet / legs 4 4 4 1 3 11 6 5 9Size -4 -3 2 2 -18 4 -4 2

Dairy character 2Rump 1 1

Final score 4 2Calving ease 4 4 10 6 12

Growth / meat 4 6Milking Speed <1 4 6Temperament 5 2 3

Page 19: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Response to NM$ SelectionResponse to NM$ Selection

TraitNM$ 2000

NM$ 2003 Trait

NM$ 2000

NM$ 2003

Protein .81 .74 Udder .19 .22Fat .68 .67 F & L .17 .16

Milk .68 .58 Size -.10 -.10PL .51 .58 SCE -.13 -.23

SCS -.35 -.38 DCE -.11 -.21DPR .00 .15

Page 20: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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Changes for November 2003Changes for November 2003

Earlier evaluation of DPR Records in progress used at 130

instead of 250 DIM 6% gain in REL of DPR for new bulls Developed by Melvin Kuhn

Use of DPR, SCE, DCE to predict PL 4% gain in REL of PL for recent bulls

Page 21: Genetic Evaluations for Fitness and Fertility in the US and Other Nations

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ConclusionsConclusions

Most fitness traits are less heritable but more variable than yield and type

In August 2003 NM$, cow fertility receives 7% and calving ease traits each receive 2% of total selection

Reasonable progress is expected National fitness trait evaluations need

to reach foreign customers