BEEF AUSTRALIA 2012          INTERNATIONAL BEEF CATTLE GENETICS CONFERENCEBrazilian Experience in Selection for Fertility ...
Brazilian Population (2011)     192.4 million people    7 billion worldwide              Regions•   Brazil is divided into...
Macuni do Salto         MGT = 13,55 (Top 2%)Birth date. Sept/2002                          3
HERD, SLAUGHTERING AND CARCASS WEIGHT OF             CATTLE IN BRAZIL
Brazilian Exports                                    (US$ bilhões)                              HISTORICAL EVOLUTION      ...
The Genetics of Beef Cattle ReproductionReproductive performance and longevityare economically relevant traits thatdetermi...
The beef cattle industry is considered tobe one of the most important economicactivities in Brazilian agribusiness andZebu...
In this presentation, we will be stressingon our results of fertility selection in zebubreeds, and make application on how...
Fertility is a complex trait in beefproduction systems and genetic     evaluation procedures.
The    ANCP     has   initiated   aprogram of selection for sexualprecocity in females, challengingheifers from 14 to 17 m...
Results of the program of sexual precocity in Rancho da               Matinha, ANCP Associate.                         Num...
Rancho da MatinhaMandarin FIV Matinha    Maia FIV MatinhaBirth date.: Oct/2008   Birth date: Sept/2008                    ...
Genetic Trends (mo) in Nellore Cattle for AFC               -0.40                       -0.48               -0.50 IPP (mes...
Genetic Trends in Nellore Cattle for Heifer          Pregnancy Rate (%)            48.35                                  ...
Genetic Trends in Nellore Cattle for Stayability (%)               54.00                                                  ...
Genetic Trends (cm) in Nellore Cattle SC365             0.20                                                              ...
Implementation of DNA Markers to      Produce Genomic EPDs• One way to implement the genomic information into  genetic imp...
Implementation of DNA Markers to Produce Genomic                      EPDs• The Nellore Genetic Evaluation of the Brazilia...
Analysis of Nellore Data• Last April (2012) we launched for Nellore Brazil Program the genetic  evaluation for 1.1 million...
Statistical AnalysisThe data were analyzed using two animalmodels: a traditional single trait model, and athree-traits mod...
In the next figures are illustrated the benefits ofincluding the Pfizer MVP into actual accuracy.The green portion of the ...
Nellore Cattle                      AGE AT FIRST CALVING ACTUAL ACCURACY    1                                             ...
Nellore Cattle                      HEIFER PREGNANCY RATE ACTUAL ACCURACY    1                                            ...
Nellore Cattle            YEARLING SCROTAL CIRCUMFERENCE (ACTUAL ACC)    1                                                ...
Nellore Cattle                                     STAYABILITY (ACTUAL ACC)    1                                          ...
The early graphs show       that animalswith lower accuracy have more benefitwith the inclusion of genomic markers. Onthe ...
Change in BIF accuracy (ACCBIF) from the incorporation of Pfizer MVP into young sires with noother phenotypic information ...
Genetic correlations among Pfizer MVP and           reproductive traits a                Traits                       h2 r...
ConclusionsResults showed that the incorporation ofmolecular markers information into geneticevaluation resulted in incre...
ConclusionsThe effect of the inclusion of genomic markersdecline as the actual accuracy increases in Nellorebreed.The   ...
Thank you so much!
Upcoming SlideShare
Loading in...5
×

[Palestra] Brazilian Experience in Selection for Fertility in Zebu Breeds including Incorporation of DNA Marker Tecnology

351

Published on

Published in: Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
351
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

[Palestra] Brazilian Experience in Selection for Fertility in Zebu Breeds including Incorporation of DNA Marker Tecnology

  1. 1. BEEF AUSTRALIA 2012 INTERNATIONAL BEEF CATTLE GENETICS CONFERENCEBrazilian Experience in Selection for Fertility in Zebu Breeds including Incorporation of DNA Marker Technology Raysildo B. Lôbo, Cláudio Magnabosco, Luís G. G. Figueiredo, Daniel P. Lôbo, Thereza C. Bittencourt USP, ANCP, EMBRAPA, ECOLOG, UFBA
  2. 2. Brazilian Population (2011) 192.4 million people 7 billion worldwide Regions• Brazil is divided into 5 major regions with 26 states: • North (16.1 million people) • Northeast (53.5 million people) • Midwest (14.2 million people) • Southeast (81.0 million people), • South (27.6 million people)
  3. 3. Macuni do Salto MGT = 13,55 (Top 2%)Birth date. Sept/2002 3
  4. 4. HERD, SLAUGHTERING AND CARCASS WEIGHT OF CATTLE IN BRAZIL
  5. 5. Brazilian Exports (US$ bilhões) HISTORICAL EVOLUTION 256.0 Total Exports Total Agribusiness 197.9 201.9 160.6 153.0 137.8 118.5 96.7 95.0 73.2 71.8 76.4 60.4 64.858.3 58.4 43.6 49.5 39.0 24.8 30.623.92001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
  6. 6. The Genetics of Beef Cattle ReproductionReproductive performance and longevityare economically relevant traits thatdetermine the number of beef cattleavailable each year as replacements andfor slaughter in beef cattle production.
  7. 7. The beef cattle industry is considered tobe one of the most important economicactivities in Brazilian agribusiness andZebu breeds; the Nelore is the mostimportant beef cattle breed in Brazil.
  8. 8. In this presentation, we will be stressingon our results of fertility selection in zebubreeds, and make application on how tointegrate of genomic information intogenetic evaluation of Brazilian Nellorecattle.
  9. 9. Fertility is a complex trait in beefproduction systems and genetic evaluation procedures.
  10. 10. The ANCP has initiated aprogram of selection for sexualprecocity in females, challengingheifers from 14 to 17 months old inthe Nellore breed.
  11. 11. Results of the program of sexual precocity in Rancho da Matinha, ANCP Associate. Number Number Birth Year % Pregnancy Exposed Pregnant 1998 77 6 7.79 1999 122 1 0.82 2000 122 16 13.11 2001 142 27 19.01 2002 159 86 54,09 2003 159 77 48,43 2004 149 77 51,68 2005 162 57 35,19 2006 113 81 71,68 2007 151 110 72,85 2008 141 103 73,05 2009 166 124 74,70 2010 177 138 77,97 Source: Rancho da Matinha, 2012
  12. 12. Rancho da MatinhaMandarin FIV Matinha Maia FIV MatinhaBirth date.: Oct/2008 Birth date: Sept/2008 12
  13. 13. Genetic Trends (mo) in Nellore Cattle for AFC -0.40 -0.48 -0.50 IPP (meses) -0.52 -0.57 -0.60 -0.61 -0.62 -0.66 -0.70 -0.74 -0.80 2001 2002 2003 2004 2005 2006 2007 Source: ANCP/CTAG, 2012
  14. 14. Genetic Trends in Nellore Cattle for Heifer Pregnancy Rate (%) 48.35 48.32 48.30 48.27 48.27 48.25 48.20 48.18 48.16 D3P (%) 48.15 48.10 48.05 48.00 47.98 47.95 47.93 47.90 2001 2002 2003 2004 2005 2006 2007 Source: ANCP/CTAG, 2012
  15. 15. Genetic Trends in Nellore Cattle for Stayability (%) 54.00 53.75 53.60 53.53 STAY (%) 53.20 53.16 52.87 52.80 52.84 52.72 52.53 52.40 2003 2004 2005 2006 2007 2008 2009 Source: ANCP/CTAG, 2012
  16. 16. Genetic Trends (cm) in Nellore Cattle SC365 0.20 0.17 0.15 0.13PE365 (cm) 0.10 0.07 0.05 0.03 0.02 0.00 0.00 -0.02 -0.05 2003 2004 2005 2006 2007 2008 2009 Source: ANCP/CTAG, 2012
  17. 17. Implementation of DNA Markers to Produce Genomic EPDs• One way to implement the genomic information into genetic improvement programs is to simply integrate the genomic predictions into traditional genetic evaluation.• This approach combines traditional EBVs based on phenotype and pedigree with the genomic breeding values based on the markers.
  18. 18. Implementation of DNA Markers to Produce Genomic EPDs• The Nellore Genetic Evaluation of the Brazilian Association of Farmers and Researchers (ANCP) published last year (2011) enhanced EPDs for growth and reproduction traits.• The molecular markers (Clarifide® - Pfizer) were analyzed as a correlated trait.
  19. 19. Analysis of Nellore Data• Last April (2012) we launched for Nellore Brazil Program the genetic evaluation for 1.1 million animals with Enhanced Genomic EPDs. (EBV:2)• We analyzed 12 (twelve) traits: Age at first calving (AFC); Heifer pregnancy rate (HPR); Stayability (STAY); Accumulated production (CAP); 120-day weight (WT120); Weights at 365/450 days (WT365/450); Scrotal circumference at 365/450 days (SC365/450); Rib eye area (REA); Fat Thickness (FAT).
  20. 20. Statistical AnalysisThe data were analyzed using two animalmodels: a traditional single trait model, and athree-traits model where the Pfizer molecularvalue was included as a correlated trait.All mixed model analysis were performed usingthe statistical software ASREML 3.0, and SELMA(CTAG, 2011).
  21. 21. In the next figures are illustrated the benefits ofincluding the Pfizer MVP into actual accuracy.The green portion of the bars shows the accuracybefore the inclusion of genomic markers and theblue shows the increase in accuracy after theinclusion of the MVP.
  22. 22. Nellore Cattle AGE AT FIRST CALVING ACTUAL ACCURACY 1 0.00% 0.9 1.00% 0.8 4.00% 11.00% 0.7 16.00%Ac 0.6 28.00%c 49.00%u 0.5 80.00%r 145.00%ac 0.4y 0.3 0.2 0.1 0 0.11 A 0.20 0.21 A 0.30 0.31 A 0.40 0.41 A 0.50 0.51 A 0.60 0.61 A 0.70 0.71 A 0.80 0.81 A 0.90 0.91 A 0.99 Accuracy Class
  23. 23. Nellore Cattle HEIFER PREGNANCY RATE ACTUAL ACCURACY 1 0.00% 0.9 1.00% 0.8 2.00% 0.7 5.00%A 9.00%c 0.6c 16.00%u 0.5r 29.00%a 49.00%c 0.4 102.00%y 0.3 0.2 0.1 0 0.11 A 0.20 0.21 A 0.30 0.31 A 0.40 0.41 A 0.50 0.51 A 0.60 0.61 A 0.70 0.71 A 0.80 0.81 A 0.90 0.91 A 0.99 Accuracy Class
  24. 24. Nellore Cattle YEARLING SCROTAL CIRCUMFERENCE (ACTUAL ACC) 1 0.00% 0.9 0.00% 0.8 2.00% 0.7 3.00%A 6.00%c 0.6c 11.00%u 0.5r 23.00%ac 0.4 40.00%y 83.00% 0.3 0.2 0.1 0 0.11 A 0.20 0.21 A 0.30 0.31 A 0.40 0.41 A 0.50 0.51 A 0.60 0.61 A 0.70 0.71 A 0.80 0.81 A 0.90 0.91 A 0.99 Accuracy Class
  25. 25. Nellore Cattle STAYABILITY (ACTUAL ACC) 1 0.00% 0.9 1.00% 0.8 3.00% 0.7 8.00% 12.00%Ac 0.6 23.00%cu 35.00% 0.5r 67.00%a 137.00%c 0.4y 0.3 0.2 0.1 0 0.11 A 0.20 0.21 A 0.30 0.31 A 0.40 0.41 A 0.50 0.51 A 0.60 0.61 A 0.70 0.71 A 0.80 0.81 A 0.90 0.91 A 0.99 Accuracy Class
  26. 26. The early graphs show that animalswith lower accuracy have more benefitwith the inclusion of genomic markers. Onthe other hand, the benefits decline as theactual accuracy increases. The benefitsdissipate for actual accuracy great than0.5.
  27. 27. Change in BIF accuracy (ACCBIF) from the incorporation of Pfizer MVP into young sires with noother phenotypic information (i.e. parent-average EPDs; ACCBIF = 0.08), and average number ofprogeny records (Approx. progeny equivalents) it would require to obtain a similar ACCBIF increasebased on progeny test records. Change in Approx. TRAITS h2 r ACCBIF Progeny (from 0.08*) Equivalents AFC 0.11 0.40 0.15 14 HPR 0.24 0.32 0.07 6 SC365 0.38 0.28 0.12 3 STAY 0.12 0.38 0.11 9 CAP 0.20 0.27 0.11 10 *These changes are less for higher initial accuracy values; h2 = Heritability; r = Genetic correlation estimates between target trait and respective MVPs.
  28. 28. Genetic correlations among Pfizer MVP and reproductive traits a Traits h2 r(%) Vg(%) Age at First Calving 0.11 40 16 Heifer Pregnancy Rate 0.24 32 10 Scrotal Circumference at 365 days 0.38 28 8 Stayability 0.12 38 14 Accumulated production 0.20 27 7 aNellore breed; h2 Heritability; r=Genetic correlation estimates between target trait and MVPs; Vg = Portion of genetic variance explained by MVP. Source: ANCP & Pfizer (2012)
  29. 29. ConclusionsResults showed that the incorporation ofmolecular markers information into geneticevaluation resulted in increased accuracy ofyoung sires as compared to the accuracy oftraditional genetic evaluation.
  30. 30. ConclusionsThe effect of the inclusion of genomic markersdecline as the actual accuracy increases in Nellorebreed.The benefits of including genomic informationdissipate when accuracy is over 0.5 for most traitsstudied. GE-EPD will be an effective tool to enable fastergenetic improvement of fertility and growth traits inNellore cattle in Brazil.
  31. 31. Thank you so much!

×