SlideShare una empresa de Scribd logo
1 de 16
J.B. Cole,* M.E. Tooker, P.M. VanRaden, andJ.B. Cole,* M.E. Tooker, P.M. VanRaden, and
J.H. Megonigal, Jr.J.H. Megonigal, Jr.
Animal Improvement Programs Laboratory
Agricultural Research Service, USDA, Beltsville, MD
jcole@aipl.arsusda.gov
Breed Composition Codes for
Crossbred Dairy Cattle with an
Application to Calving Ease
Crossbred Dairy Cattle and Calving Ease (2) J. B. Cole
2004
ObjectivesObjectives
• Develop a system for storing breed
composition data in a national
database.
• Investigate a breed-of-sire calving
ease evaluation for Brown Swiss and
Jersey sires using purebred and F1
daughters.
Crossbred Dairy Cattle and Calving Ease (3) J. B. Cole
2004
Options for Crossbred EvaluationOptions for Crossbred Evaluation
• Use crossbred records in a breed-of-
sire evaluation.
• Use records from all animals in a
single across-breed evaluation.
• Do not use the records (the current
system).
Crossbred Dairy Cattle and Calving Ease (4) J. B. Cole
2004
Crossbred TableCrossbred Table
• 338,968 animals
• Animal identification
• Breed fractions for 18 dairy breeds
• Four-generation breed stack
• Sire breed stack
• Heterosis value
Crossbred Dairy Cattle and Calving Ease (5) J. B. Cole
2004
Crossbred TableCrossbred Table
• The four-generation breed stack
allows identification of crossbred
sires.
• The sire breed stack summarizes
the breeds of the sire and the
dam's male ancestors up to 24
generations.
Crossbred Dairy Cattle and Calving Ease (6) J. B. Cole
2004
Non-zero Breed FractionsNon-zero Breed Fractions
0
50000
100000
150000
200000
250000
AY BS GU HO JE MS
Breed
NumberofAnimals
Crossbred Dairy Cattle and Calving Ease (7) J. B. Cole
2004
FF11 for each Breed Crossfor each Breed Cross
Sire
Breed
Dam Breed
AY BS GU HO JE MS Total
AY 74 279 2817 253 119 3542
BS 340 563 11,509 991 47 13,450
GU 137 110 4340 424 45 5056
HO 3287 3653 8643 5388 1159 22,130
JE 282 329 699 23,514 65 24,889
MS 61 47 107 1539 73 1827
Total 4107 4213 10,291 43,719 7129 1435 70,894
Crossbred Dairy Cattle and Calving Ease (8) J. B. Cole
2004
Calving EaseCalving Ease
• Sire-MGS threshold model
• Breed-of-sire evaluation
• Fixed breed effect to distinguish
between purebred and F1
calvings
Crossbred Dairy Cattle and Calving Ease (9) J. B. Cole
2004
Calving Ease DataCalving Ease Data
• CE records from 1998 to 2003
• 11,793 BS and 3443 BS-sired F1
s
• 65,293 JE and 7095 JE-sired F1
s
• Herds with only one observation or
only difficult calvings were excluded
Crossbred Dairy Cattle and Calving Ease (10) J. B. Cole
2004
BS Threshold Model SolutionsBS Threshold Model Solutions
0.010.49131,387Maternal grandsire
0.010.48131,387Sire
0.110.162Breed composition
0.220.7611Maternal-grandsire birth year
0.050.166Sire birth year
0.310.886Parity-gender
0.260.9612Year-season
0.363.892366Herd-year
SDRangeLevelsEffect
Crossbred Dairy Cattle and Calving Ease (11) J. B. Cole
2004
BS Service Sire and Daughter PTABS Service Sire and Daughter PTA
for %DBH by Birth Year of Bullfor %DBH by Birth Year of Bull
6
7
8
9
10
11
90 91 92 93 94 95 96 97 98 99 00 01
Birth Year
%DBH
Service Sire %DBH
Daughter %DBH
Crossbred Dairy Cattle and Calving Ease (12) J. B. Cole
2004
Distribution of BS Service Sire andDistribution of BS Service Sire and
Daughter PTA for %DBHDaughter PTA for %DBH
0
10
20
30
40
50
60
5 6 7 8 9 10 11 12 >12
%DBH
Frequency(%)
Service Sire %DBH
Daughter %DBH
Crossbred Dairy Cattle and Calving Ease (13) J. B. Cole
2004
JE Threshold Model SolutionsJE Threshold Model Solutions
0.010.38131,385Maternal grandsire
0.010.45131,385Sire
0.350.492Breed composition
0.110.317Maternal-grandsire birth year
0.050.135Sire birth year
0.210.546Parity-gender
1.385.2813Year-season
0.414.033405Herd-year
SDRangeLevelsEffect
Crossbred Dairy Cattle and Calving Ease (14) J. B. Cole
2004
JE Service Sire and Daughter PTAJE Service Sire and Daughter PTA
for %DBH by Birth Year of Bullfor %DBH by Birth Year of Bull
0.00
0.50
1.00
1.50
2.00
90 91 92 93 94 95 96 97 98 99 00 01
Birth Year
%DBH
Service Sire %DBH
Daughter %DBH
Crossbred Dairy Cattle and Calving Ease (15) J. B. Cole
2004
Distribution of JE Service Sire andDistribution of JE Service Sire and
Daughter PTA for %DBHDaughter PTA for %DBH
0
10
20
30
40
50
60
70
1 >1
%DBH
Frequency(%)
Service Sire %DBH
Daughter %DBH
Crossbred Dairy Cattle and Calving Ease (16) J. B. Cole
2004
ConclusionsConclusions
• Crossbred animals can be rapidly
identified using the new database.
• It is feasible to use crossbred
records in genetic evaluation.
• There is no genetic trend for calving
ease in BS or JE.
• Future analyses will include breed
effects for service sires and dams.

Más contenido relacionado

Similar a Breed Composition Codes for Crossbred Dairy Cattle with an Application to Calving Ease

Similar a Breed Composition Codes for Crossbred Dairy Cattle with an Application to Calving Ease (16)

Genetic Evaluation of Calving Traits in US Holsteins
Genetic Evaluation of Calving Traits in US HolsteinsGenetic Evaluation of Calving Traits in US Holsteins
Genetic Evaluation of Calving Traits in US Holsteins
 
Genetic improvement programs for US dairy cattle
Genetic improvement programs for US dairy cattleGenetic improvement programs for US dairy cattle
Genetic improvement programs for US dairy cattle
 
Genetic Evaluation of Stillbirth in US Holsteins Using a Sire-maternal Grands...
Genetic Evaluation of Stillbirth in US Holsteins Using a Sire-maternal Grands...Genetic Evaluation of Stillbirth in US Holsteins Using a Sire-maternal Grands...
Genetic Evaluation of Stillbirth in US Holsteins Using a Sire-maternal Grands...
 
Validation of Producer-Recorded Health Event Data and Use in Genetic Improvem...
Validation of Producer-Recorded Health Event Data and Use in Genetic Improvem...Validation of Producer-Recorded Health Event Data and Use in Genetic Improvem...
Validation of Producer-Recorded Health Event Data and Use in Genetic Improvem...
 
Genetic Evaluation of Calving Traits in US Holsteins
Genetic Evaluation of Calving Traits in US HolsteinsGenetic Evaluation of Calving Traits in US Holsteins
Genetic Evaluation of Calving Traits in US Holsteins
 
Genomic Selection in Dairy Cattle
Genomic Selection in Dairy CattleGenomic Selection in Dairy Cattle
Genomic Selection in Dairy Cattle
 
What can we do with dairy cattle genomics other than predict more accurate br...
What can we do with dairy cattle genomics other than predict more accurate br...What can we do with dairy cattle genomics other than predict more accurate br...
What can we do with dairy cattle genomics other than predict more accurate br...
 
Use of Haplotypes to Predict Selection Limits and Mendelian Sampling
Use of Haplotypes to Predict Selection Limits and Mendelian SamplingUse of Haplotypes to Predict Selection Limits and Mendelian Sampling
Use of Haplotypes to Predict Selection Limits and Mendelian Sampling
 
Overview of Animal Improvement Programs Laboratory
Overview of Animal Improvement Programs LaboratoryOverview of Animal Improvement Programs Laboratory
Overview of Animal Improvement Programs Laboratory
 
Challenges and successes in dairy cattle genomics
Challenges and successes in dairy cattle genomicsChallenges and successes in dairy cattle genomics
Challenges and successes in dairy cattle genomics
 
Estimation of yields for long lactations using best prediction
Estimation of yields for long lactations using best predictionEstimation of yields for long lactations using best prediction
Estimation of yields for long lactations using best prediction
 
Dr. Ken Stalder - Industry Productivity Analysis
Dr. Ken Stalder - Industry Productivity AnalysisDr. Ken Stalder - Industry Productivity Analysis
Dr. Ken Stalder - Industry Productivity Analysis
 
Selective Procedures for Meat Goat Breeding Programs
Selective Procedures for Meat Goat Breeding ProgramsSelective Procedures for Meat Goat Breeding Programs
Selective Procedures for Meat Goat Breeding Programs
 
Genomics Beyond EBVs
Genomics Beyond EBVsGenomics Beyond EBVs
Genomics Beyond EBVs
 
Dr. Ken Stalder - Pork Industry Productivity Analysis
Dr. Ken Stalder - Pork Industry Productivity AnalysisDr. Ken Stalder - Pork Industry Productivity Analysis
Dr. Ken Stalder - Pork Industry Productivity Analysis
 
Pork Industry Productivity Analysis
Pork Industry Productivity AnalysisPork Industry Productivity Analysis
Pork Industry Productivity Analysis
 

Más de John B. Cole, Ph.D.

Using genotypes to construct phenotypes for dairy cattle breeding programs an...
Using genotypes to construct phenotypes for dairy cattle breeding programs an...Using genotypes to construct phenotypes for dairy cattle breeding programs an...
Using genotypes to construct phenotypes for dairy cattle breeding programs an...
John B. Cole, Ph.D.
 
Opportunities for genetic improvement of health and fitness traits
Opportunities for genetic improvement of health and fitness traitsOpportunities for genetic improvement of health and fitness traits
Opportunities for genetic improvement of health and fitness traits
John B. Cole, Ph.D.
 
Use of NGS to identify the causal variant associated with a complex phenotype
Use of NGS to identify the causal variant associated with a complex phenotypeUse of NGS to identify the causal variant associated with a complex phenotype
Use of NGS to identify the causal variant associated with a complex phenotype
John B. Cole, Ph.D.
 
Genomic evaluation of dairy cattle health
Genomic evaluation of dairy cattle healthGenomic evaluation of dairy cattle health
Genomic evaluation of dairy cattle health
John B. Cole, Ph.D.
 

Más de John B. Cole, Ph.D. (20)

Using genotypes to construct phenotypes for dairy cattle breeding programs an...
Using genotypes to construct phenotypes for dairy cattle breeding programs an...Using genotypes to construct phenotypes for dairy cattle breeding programs an...
Using genotypes to construct phenotypes for dairy cattle breeding programs an...
 
2015 AGIL Update
2015 AGIL Update2015 AGIL Update
2015 AGIL Update
 
If we would see further than others: research & technology today and tomorrow
If we would see further than others: research & technology today and tomorrowIf we would see further than others: research & technology today and tomorrow
If we would see further than others: research & technology today and tomorrow
 
Using genotyping and whole-genome sequencing to identify causal variants asso...
Using genotyping and whole-genome sequencing to identify causal variants asso...Using genotyping and whole-genome sequencing to identify causal variants asso...
Using genotyping and whole-genome sequencing to identify causal variants asso...
 
The hunt for a functional mutation affecting conformation and calving traits ...
The hunt for a functional mutation affecting conformation and calving traits ...The hunt for a functional mutation affecting conformation and calving traits ...
The hunt for a functional mutation affecting conformation and calving traits ...
 
An updated version of lifetime net merit incorporating additional fertility t...
An updated version of lifetime net merit incorporating additional fertility t...An updated version of lifetime net merit incorporating additional fertility t...
An updated version of lifetime net merit incorporating additional fertility t...
 
An updated version of lifetime net merit incorporating additional fertility t...
An updated version of lifetime net merit incorporating additional fertility t...An updated version of lifetime net merit incorporating additional fertility t...
An updated version of lifetime net merit incorporating additional fertility t...
 
New tools for genomic selection in dairy cattle
New tools for genomic selection in dairy cattleNew tools for genomic selection in dairy cattle
New tools for genomic selection in dairy cattle
 
Opportunities for genetic improvement of health and fitness traits
Opportunities for genetic improvement of health and fitness traitsOpportunities for genetic improvement of health and fitness traits
Opportunities for genetic improvement of health and fitness traits
 
Genomic selection and systems biology – lessons from dairy cattle breeding
Genomic selection and systems biology – lessons from dairy cattle breedingGenomic selection and systems biology – lessons from dairy cattle breeding
Genomic selection and systems biology – lessons from dairy cattle breeding
 
Use of NGS to identify the causal variant associated with a complex phenotype
Use of NGS to identify the causal variant associated with a complex phenotypeUse of NGS to identify the causal variant associated with a complex phenotype
Use of NGS to identify the causal variant associated with a complex phenotype
 
Genomic evaluation of dairy cattle health
Genomic evaluation of dairy cattle healthGenomic evaluation of dairy cattle health
Genomic evaluation of dairy cattle health
 
Uso e valore economico dei test genomici in azienda
Uso e valore economico dei test genomici in aziendaUso e valore economico dei test genomici in azienda
Uso e valore economico dei test genomici in azienda
 
The use and economic value of genomic testing for calves on dairy farms
The use and economic value of genomic testing for calves on dairy farmsThe use and economic value of genomic testing for calves on dairy farms
The use and economic value of genomic testing for calves on dairy farms
 
Genomic evaluation of low-heritability traits: dairy cattle health as a model
Genomic evaluation of low-heritability traits: dairy cattle health as a modelGenomic evaluation of low-heritability traits: dairy cattle health as a model
Genomic evaluation of low-heritability traits: dairy cattle health as a model
 
New applications of genomic technology in the US dairy industry
New applications of genomic technology in the US dairy industryNew applications of genomic technology in the US dairy industry
New applications of genomic technology in the US dairy industry
 
New Tools for Genomic Selection of Livestock
New Tools for Genomic Selection of LivestockNew Tools for Genomic Selection of Livestock
New Tools for Genomic Selection of Livestock
 
PyPedal, an open source software package for pedigree analysis
PyPedal, an open source software package for pedigree analysisPyPedal, an open source software package for pedigree analysis
PyPedal, an open source software package for pedigree analysis
 
Applications of haplotypes in dairy farm management
Applications of haplotypes in dairy farm managementApplications of haplotypes in dairy farm management
Applications of haplotypes in dairy farm management
 
Fine-mapping of QTL using high-density SNP genotypes
Fine-mapping of QTL using high-density SNP genotypesFine-mapping of QTL using high-density SNP genotypes
Fine-mapping of QTL using high-density SNP genotypes
 

Último

Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Sérgio Sacani
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
Silpa
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Sérgio Sacani
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Último (20)

Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
 
Velocity and Acceleration PowerPoint.ppt
Velocity and Acceleration PowerPoint.pptVelocity and Acceleration PowerPoint.ppt
Velocity and Acceleration PowerPoint.ppt
 
Grade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsGrade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its Functions
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .
 
Introduction of DNA analysis in Forensic's .pptx
Introduction of DNA analysis in Forensic's .pptxIntroduction of DNA analysis in Forensic's .pptx
Introduction of DNA analysis in Forensic's .pptx
 
An introduction on sequence tagged site mapping
An introduction on sequence tagged site mappingAn introduction on sequence tagged site mapping
An introduction on sequence tagged site mapping
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
 
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate ProfessorThyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
 
Chemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdfChemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdf
 
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptxPSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
 
Molecular markers- RFLP, RAPD, AFLP, SNP etc.
Molecular markers- RFLP, RAPD, AFLP, SNP etc.Molecular markers- RFLP, RAPD, AFLP, SNP etc.
Molecular markers- RFLP, RAPD, AFLP, SNP etc.
 
300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx
 
COMPUTING ANTI-DERIVATIVES (Integration by SUBSTITUTION)
COMPUTING ANTI-DERIVATIVES(Integration by SUBSTITUTION)COMPUTING ANTI-DERIVATIVES(Integration by SUBSTITUTION)
COMPUTING ANTI-DERIVATIVES (Integration by SUBSTITUTION)
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
 
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
 
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS  ESCORT SERVICE In Bhiwan...Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS  ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)
 

Breed Composition Codes for Crossbred Dairy Cattle with an Application to Calving Ease

  • 1. J.B. Cole,* M.E. Tooker, P.M. VanRaden, andJ.B. Cole,* M.E. Tooker, P.M. VanRaden, and J.H. Megonigal, Jr.J.H. Megonigal, Jr. Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD jcole@aipl.arsusda.gov Breed Composition Codes for Crossbred Dairy Cattle with an Application to Calving Ease
  • 2. Crossbred Dairy Cattle and Calving Ease (2) J. B. Cole 2004 ObjectivesObjectives • Develop a system for storing breed composition data in a national database. • Investigate a breed-of-sire calving ease evaluation for Brown Swiss and Jersey sires using purebred and F1 daughters.
  • 3. Crossbred Dairy Cattle and Calving Ease (3) J. B. Cole 2004 Options for Crossbred EvaluationOptions for Crossbred Evaluation • Use crossbred records in a breed-of- sire evaluation. • Use records from all animals in a single across-breed evaluation. • Do not use the records (the current system).
  • 4. Crossbred Dairy Cattle and Calving Ease (4) J. B. Cole 2004 Crossbred TableCrossbred Table • 338,968 animals • Animal identification • Breed fractions for 18 dairy breeds • Four-generation breed stack • Sire breed stack • Heterosis value
  • 5. Crossbred Dairy Cattle and Calving Ease (5) J. B. Cole 2004 Crossbred TableCrossbred Table • The four-generation breed stack allows identification of crossbred sires. • The sire breed stack summarizes the breeds of the sire and the dam's male ancestors up to 24 generations.
  • 6. Crossbred Dairy Cattle and Calving Ease (6) J. B. Cole 2004 Non-zero Breed FractionsNon-zero Breed Fractions 0 50000 100000 150000 200000 250000 AY BS GU HO JE MS Breed NumberofAnimals
  • 7. Crossbred Dairy Cattle and Calving Ease (7) J. B. Cole 2004 FF11 for each Breed Crossfor each Breed Cross Sire Breed Dam Breed AY BS GU HO JE MS Total AY 74 279 2817 253 119 3542 BS 340 563 11,509 991 47 13,450 GU 137 110 4340 424 45 5056 HO 3287 3653 8643 5388 1159 22,130 JE 282 329 699 23,514 65 24,889 MS 61 47 107 1539 73 1827 Total 4107 4213 10,291 43,719 7129 1435 70,894
  • 8. Crossbred Dairy Cattle and Calving Ease (8) J. B. Cole 2004 Calving EaseCalving Ease • Sire-MGS threshold model • Breed-of-sire evaluation • Fixed breed effect to distinguish between purebred and F1 calvings
  • 9. Crossbred Dairy Cattle and Calving Ease (9) J. B. Cole 2004 Calving Ease DataCalving Ease Data • CE records from 1998 to 2003 • 11,793 BS and 3443 BS-sired F1 s • 65,293 JE and 7095 JE-sired F1 s • Herds with only one observation or only difficult calvings were excluded
  • 10. Crossbred Dairy Cattle and Calving Ease (10) J. B. Cole 2004 BS Threshold Model SolutionsBS Threshold Model Solutions 0.010.49131,387Maternal grandsire 0.010.48131,387Sire 0.110.162Breed composition 0.220.7611Maternal-grandsire birth year 0.050.166Sire birth year 0.310.886Parity-gender 0.260.9612Year-season 0.363.892366Herd-year SDRangeLevelsEffect
  • 11. Crossbred Dairy Cattle and Calving Ease (11) J. B. Cole 2004 BS Service Sire and Daughter PTABS Service Sire and Daughter PTA for %DBH by Birth Year of Bullfor %DBH by Birth Year of Bull 6 7 8 9 10 11 90 91 92 93 94 95 96 97 98 99 00 01 Birth Year %DBH Service Sire %DBH Daughter %DBH
  • 12. Crossbred Dairy Cattle and Calving Ease (12) J. B. Cole 2004 Distribution of BS Service Sire andDistribution of BS Service Sire and Daughter PTA for %DBHDaughter PTA for %DBH 0 10 20 30 40 50 60 5 6 7 8 9 10 11 12 >12 %DBH Frequency(%) Service Sire %DBH Daughter %DBH
  • 13. Crossbred Dairy Cattle and Calving Ease (13) J. B. Cole 2004 JE Threshold Model SolutionsJE Threshold Model Solutions 0.010.38131,385Maternal grandsire 0.010.45131,385Sire 0.350.492Breed composition 0.110.317Maternal-grandsire birth year 0.050.135Sire birth year 0.210.546Parity-gender 1.385.2813Year-season 0.414.033405Herd-year SDRangeLevelsEffect
  • 14. Crossbred Dairy Cattle and Calving Ease (14) J. B. Cole 2004 JE Service Sire and Daughter PTAJE Service Sire and Daughter PTA for %DBH by Birth Year of Bullfor %DBH by Birth Year of Bull 0.00 0.50 1.00 1.50 2.00 90 91 92 93 94 95 96 97 98 99 00 01 Birth Year %DBH Service Sire %DBH Daughter %DBH
  • 15. Crossbred Dairy Cattle and Calving Ease (15) J. B. Cole 2004 Distribution of JE Service Sire andDistribution of JE Service Sire and Daughter PTA for %DBHDaughter PTA for %DBH 0 10 20 30 40 50 60 70 1 >1 %DBH Frequency(%) Service Sire %DBH Daughter %DBH
  • 16. Crossbred Dairy Cattle and Calving Ease (16) J. B. Cole 2004 ConclusionsConclusions • Crossbred animals can be rapidly identified using the new database. • It is feasible to use crossbred records in genetic evaluation. • There is no genetic trend for calving ease in BS or JE. • Future analyses will include breed effects for service sires and dams.