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Genomic Selection for Improved Fertility of Dairy
Cows with Emphasis on Cyclicity and Pregnancy
P.J. Pinedo, J.E.P. Santos, W.W. Thatcher, K.N. Galvão, R.C. Bicalho,
R.O. Gilbert, G. Schuenemann, G. Rosa, S. Rodriguez-Zas S, C.
Seabury, R.C. Chebel, J. Fetrow
1
NIFA-USDA 2013-68004-20361
Milk Production per Cow in the US
Milk yield (lb)
Daughter Pregnancy
Rate
Current World Records
Smurf - 216,891 kg (478,163 pounds) over 15
years
3
Bur-Wall Buckeye Gigi 33,932 kg in 365 days
(74,650 lb; 2,126 lb fat and 2,142 lb protein)
Morbidity is a Problem of Early Lactation
Cows
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Numberofcows
Day postpartum
N = 753 cows with metritis in dairy
farms in NY, OH, and CA
Metritis
Galvão et al. (2014)
0
50
100
150
200
250
300
350
400
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Numberofcows
Week postpartum
N = 1,171 cows with non-uterine disease
(NUTD) in dairy farms in FL
Ribeiro et al. (2016) J. Dairy Sci. 99: 2201-2220
Non-uterine diseases
30 to 35% of cows are affected by disease in
the first 3 weeks of lactation
78% the first disease diagnosis occur within
3 weeks postpartum
Embryos only
0
10
20
30
40
50
60
70
80
90
100
Cleaved
embryos
Live
embryos
High
quality
embryos
*Live
embryos
*High
quality
embryos
%
No disease Disease
P = 0.05 P < 0.01 P < 0.01 P < 0.01 P = 0.02
A
0
10
20
30
40
50
60
70
80
90
100
C
em
%
P
B
Ova-embryos
Disease Influences Development to Morula
Ribeiro et al. (2016) J. Dairy Sci. 99:2201–2220
419 embryo-oocytes from
single ovulating lactating
Holstein cows
Category Pregnant, % Adjusted OR (95% CI) P
Healthy 51.4 1.00
1 case of disease 43.3 0.79 (0.69 – 0.91) 0.001
> 1 case of disease 34.7 0.57 (0.48 – 0.69) < 0.001
Type of health problem
Calving problem 40.3 0.75 (0.63 – 0.88) < 0.001
Metritis 37.8 0.66 (0.56 – 0.78) < 0.001
Clinical endometritis 38.7 0.62 (0.52 – 0.74) < 0.001
Fever postpartum 39.8 0.60 (0.48 – 0.65) < 0.001
Mastitis 39.4 0.84 (0.64 – 1.10) 0.20
Clinical ketosis 28.8 0.50 (0.36 – 0.68) < 0.001
Lameness 33.3 0.57 (0.41 – 0.78) < 0.001
Pneumonia 32.4 0.63 (0.32 – 1.27) 0.20
Digestive problem 36.7 0.78 (0.46 – 1.34) 0.38
5,719 postpartum dairy cows evaluated daily for health disorders in seven dairy farms in the US
6
Health Problems in the First 60 DIM and Pregnancy in
Dairy Cows
Santos et al. (2010) Soc. Reprod. Fertil. 67:387-403
Would genetic selection work?
o Strong environmental effects
o Low heritability (but high variation)
Genetics & Fertility?
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4
Milk Yield
Protein
1/4
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4
Conception rate
Reproductive Efficiency
Mastitis resistance
Dairy character
1/20
20
23
26
29
32
35
395
400
405
410
415
420
425
430
2003
2004
2005
2006
2007
2008
2009
2010
2011
2003
2004
2005
2006
2007
2008
2009
2010
2011
Conceptionrate,%
Calvinginterval,d
Year of calving or 1st breeding when lactating
Calving interval Conception rate
Recent Evolution of Reproductive Parameters
in Holsteins
Bisinotto et al. (2014) Animal 8:s1, 151–159
8
Many Sires Have Improved Daughter Fertility
and Increased PTA Milk
-5.0
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
5.0
-1000 -500 0 500 1000 1500
DPR,PTA
Milk, PTA kg
Genomic Proven
212 bulls
milk PTA> 250 kg
DPR PTA > 1.5
Fig. 2. Milk PTA (kg) and DPR of genomic and proven sires released in
December 2011 (AIPL-USDA)
A B
C D
9
Phenotypic Performance: Milk vs.
Fertility
Genetic Merit: Milk vs. Fertility
Peñagaricano et al. (2016)
Phenotypic and Genetic Trends in the US
Dairy Herd
Daughter Pregnancy Rate
NFH 0.2 %/yr
US 0.07 %/yr
Applying Intensive Genomic Selection
Increases Genetic Gain
Peñagaricano et al. (2016)
NFH 61 $/yr
US 35 $/yr
Lifetime Net Merit
$ 231
Applying Intensive Genomic Selection
Increases Genetic Gain
Peñagaricano et al. (2016)
Productive Life
NFH 0.6
mo/yr
US 0.2 mo/yr
Applying Intensive Genomic Selection
Increases Genetic Gain
Peñagaricano et al. (2016)
Genomic Selection for Improved Fertility
of Dairy Cows with Emphasis on Cyclicity
and Pregnancy
NIFA-USDA 2013-68004-20361
Translational Genomics for
Improved Fertility of Animals
http://agrilife.org/afridairycowfertility/
1. Develop a fertility database with genotypes and phenotypes based on direct
measures of fertility in Holstein cows
2. Identify SNPs associated with fertility traits by use of genome-wide
analyses (GWAS)
3. To obtain genomic-estimated breeding values (GEBV) that can be applied
in selection for improved fertility
4. Incorporate these findings in available platforms
5. Extend the knowledge to the dairy industry
6. Educate students on animal health, reproduction, and genetics
Objectives
Main objective is to identify molecular markers for
genomic selection to improve fertility of dairy cattle
Incidence (%) of diseases in the first 60 d postpartum in 11,729 dairy
cows from 16 herds according to region of the country
Region of the US
Disease SE SW MW NE Overall
Cows (farms), n 1,183 (1) 2,726 (5) 5,189 (6) 2,623 (4) 11,729 (16)
Retained placenta, % 11.3 4.0 6.3 6.9 6.4
Metritis, % 42.6 29.9 20.5 22.8 25.4
Subclinical ketosis, % 22.5 21.6 20.4 30.3 23.2
Mastitis, % 19.6 7.6 10.8 16.9 12.3
Displaced abomasum, % 5.0 0.2 2.6 2.0 2.2
Clinical endometritis, % 32.9 26.4 24.4 24.0 25.7
Lameness, % 12.5 9.3 13.9 10.7 11.9
Death, % 2.2 1.3 2.6 1.6 2.0
Morbidity, % 61.0 42.9 40.7 41.2 43.4
Pinedo et al. (2016) J. Dairy Sci. Abstr.
~45% of the dairy cows are diagnosed with a
problem in the first 60 DIM
Subpopulations for extreme high and low fertility:
 High-fertility cows (n=850): Pregnant cows on d 60 after first AI
with the highest RI
 Low-fertility cows (n=1,750): Non-pregnant cows on d 60 after
two postpartum AI with the lowest RI
Approach
Genotyping:
0.00
0.20
0.40
0.60
0.80
1.00
A B C D E F G H I J K L
High
Low
New pool of 1,000 cows based on high and low RI and a
group of 200 AI sires with extreme values for daughter
fertility (high DPR > +1.5 vs. low DPR < -1.5).
Approach
Validation:
Fertility
Phenotypes
High-Low
fertility cows
Genotyping GWAS
GEBV
SNP-GSEA Genomic
selection
model for
fertility
Outline
Extension
Education
Thank you!
jepsantos@ufl.edu
http://agrilife.org/afridairycowfertility/

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Current Research in Genomic Selection- Dr. Jose Santos

  • 1. Genomic Selection for Improved Fertility of Dairy Cows with Emphasis on Cyclicity and Pregnancy P.J. Pinedo, J.E.P. Santos, W.W. Thatcher, K.N. Galvão, R.C. Bicalho, R.O. Gilbert, G. Schuenemann, G. Rosa, S. Rodriguez-Zas S, C. Seabury, R.C. Chebel, J. Fetrow 1 NIFA-USDA 2013-68004-20361
  • 2. Milk Production per Cow in the US Milk yield (lb) Daughter Pregnancy Rate
  • 3. Current World Records Smurf - 216,891 kg (478,163 pounds) over 15 years 3 Bur-Wall Buckeye Gigi 33,932 kg in 365 days (74,650 lb; 2,126 lb fat and 2,142 lb protein)
  • 4. Morbidity is a Problem of Early Lactation Cows 0 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Numberofcows Day postpartum N = 753 cows with metritis in dairy farms in NY, OH, and CA Metritis Galvão et al. (2014) 0 50 100 150 200 250 300 350 400 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Numberofcows Week postpartum N = 1,171 cows with non-uterine disease (NUTD) in dairy farms in FL Ribeiro et al. (2016) J. Dairy Sci. 99: 2201-2220 Non-uterine diseases 30 to 35% of cows are affected by disease in the first 3 weeks of lactation 78% the first disease diagnosis occur within 3 weeks postpartum
  • 5. Embryos only 0 10 20 30 40 50 60 70 80 90 100 Cleaved embryos Live embryos High quality embryos *Live embryos *High quality embryos % No disease Disease P = 0.05 P < 0.01 P < 0.01 P < 0.01 P = 0.02 A 0 10 20 30 40 50 60 70 80 90 100 C em % P B Ova-embryos Disease Influences Development to Morula Ribeiro et al. (2016) J. Dairy Sci. 99:2201–2220 419 embryo-oocytes from single ovulating lactating Holstein cows
  • 6. Category Pregnant, % Adjusted OR (95% CI) P Healthy 51.4 1.00 1 case of disease 43.3 0.79 (0.69 – 0.91) 0.001 > 1 case of disease 34.7 0.57 (0.48 – 0.69) < 0.001 Type of health problem Calving problem 40.3 0.75 (0.63 – 0.88) < 0.001 Metritis 37.8 0.66 (0.56 – 0.78) < 0.001 Clinical endometritis 38.7 0.62 (0.52 – 0.74) < 0.001 Fever postpartum 39.8 0.60 (0.48 – 0.65) < 0.001 Mastitis 39.4 0.84 (0.64 – 1.10) 0.20 Clinical ketosis 28.8 0.50 (0.36 – 0.68) < 0.001 Lameness 33.3 0.57 (0.41 – 0.78) < 0.001 Pneumonia 32.4 0.63 (0.32 – 1.27) 0.20 Digestive problem 36.7 0.78 (0.46 – 1.34) 0.38 5,719 postpartum dairy cows evaluated daily for health disorders in seven dairy farms in the US 6 Health Problems in the First 60 DIM and Pregnancy in Dairy Cows Santos et al. (2010) Soc. Reprod. Fertil. 67:387-403
  • 7. Would genetic selection work? o Strong environmental effects o Low heritability (but high variation) Genetics & Fertility? 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 Milk Yield Protein 1/4 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 Conception rate Reproductive Efficiency Mastitis resistance Dairy character 1/20
  • 8. 20 23 26 29 32 35 395 400 405 410 415 420 425 430 2003 2004 2005 2006 2007 2008 2009 2010 2011 2003 2004 2005 2006 2007 2008 2009 2010 2011 Conceptionrate,% Calvinginterval,d Year of calving or 1st breeding when lactating Calving interval Conception rate Recent Evolution of Reproductive Parameters in Holsteins Bisinotto et al. (2014) Animal 8:s1, 151–159 8
  • 9. Many Sires Have Improved Daughter Fertility and Increased PTA Milk -5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 5.0 -1000 -500 0 500 1000 1500 DPR,PTA Milk, PTA kg Genomic Proven 212 bulls milk PTA> 250 kg DPR PTA > 1.5 Fig. 2. Milk PTA (kg) and DPR of genomic and proven sires released in December 2011 (AIPL-USDA) A B C D 9
  • 10. Phenotypic Performance: Milk vs. Fertility Genetic Merit: Milk vs. Fertility Peñagaricano et al. (2016) Phenotypic and Genetic Trends in the US Dairy Herd
  • 11. Daughter Pregnancy Rate NFH 0.2 %/yr US 0.07 %/yr Applying Intensive Genomic Selection Increases Genetic Gain Peñagaricano et al. (2016)
  • 12. NFH 61 $/yr US 35 $/yr Lifetime Net Merit $ 231 Applying Intensive Genomic Selection Increases Genetic Gain Peñagaricano et al. (2016)
  • 13. Productive Life NFH 0.6 mo/yr US 0.2 mo/yr Applying Intensive Genomic Selection Increases Genetic Gain Peñagaricano et al. (2016)
  • 14. Genomic Selection for Improved Fertility of Dairy Cows with Emphasis on Cyclicity and Pregnancy NIFA-USDA 2013-68004-20361 Translational Genomics for Improved Fertility of Animals http://agrilife.org/afridairycowfertility/
  • 15. 1. Develop a fertility database with genotypes and phenotypes based on direct measures of fertility in Holstein cows 2. Identify SNPs associated with fertility traits by use of genome-wide analyses (GWAS) 3. To obtain genomic-estimated breeding values (GEBV) that can be applied in selection for improved fertility 4. Incorporate these findings in available platforms 5. Extend the knowledge to the dairy industry 6. Educate students on animal health, reproduction, and genetics Objectives Main objective is to identify molecular markers for genomic selection to improve fertility of dairy cattle
  • 16. Incidence (%) of diseases in the first 60 d postpartum in 11,729 dairy cows from 16 herds according to region of the country Region of the US Disease SE SW MW NE Overall Cows (farms), n 1,183 (1) 2,726 (5) 5,189 (6) 2,623 (4) 11,729 (16) Retained placenta, % 11.3 4.0 6.3 6.9 6.4 Metritis, % 42.6 29.9 20.5 22.8 25.4 Subclinical ketosis, % 22.5 21.6 20.4 30.3 23.2 Mastitis, % 19.6 7.6 10.8 16.9 12.3 Displaced abomasum, % 5.0 0.2 2.6 2.0 2.2 Clinical endometritis, % 32.9 26.4 24.4 24.0 25.7 Lameness, % 12.5 9.3 13.9 10.7 11.9 Death, % 2.2 1.3 2.6 1.6 2.0 Morbidity, % 61.0 42.9 40.7 41.2 43.4 Pinedo et al. (2016) J. Dairy Sci. Abstr. ~45% of the dairy cows are diagnosed with a problem in the first 60 DIM
  • 17. Subpopulations for extreme high and low fertility:  High-fertility cows (n=850): Pregnant cows on d 60 after first AI with the highest RI  Low-fertility cows (n=1,750): Non-pregnant cows on d 60 after two postpartum AI with the lowest RI Approach Genotyping: 0.00 0.20 0.40 0.60 0.80 1.00 A B C D E F G H I J K L High Low
  • 18. New pool of 1,000 cows based on high and low RI and a group of 200 AI sires with extreme values for daughter fertility (high DPR > +1.5 vs. low DPR < -1.5). Approach Validation:
  • 19. Fertility Phenotypes High-Low fertility cows Genotyping GWAS GEBV SNP-GSEA Genomic selection model for fertility Outline Extension Education

Notes de l'éditeur

  1. 33,962 - Smurf produced this milk in 11 lactations from what I read. She was retired to pasture for a couple of years before she was euthanized and died at age 15-16.