Collaborative Genomic Evaluation for Residual Methane Production in Walloon Holstein Cows

next steps towards the development n.w
1 / 23
Embed
Share

Explore the development of a collaborative genomic evaluation system for residual methane production in Walloon Holstein cows, detailing ongoing processes, trait definitions, genetic parameter estimations, and future developments discussed in INTERBULL meetings. Discover the CH4 traits in dairy cows, including common traits and recently developed ones. Follow ongoing test computations and genetic evaluations for Holsteins in the Walloon population, alongside records and model setup updates. Stay informed about the current status, achievements, and upcoming goals in the genomic evaluation system.

  • Genomic evaluation
  • Residual methane production
  • Holstein cows
  • CH4 traits
  • Genetic parameter estimation
rayaanacharya
grag Follow

Uploaded on | 0 Views

Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

Download Presentation

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript

  1. Next steps towards the development of a collaborative genomic evaluation system for residual methane production in Walloon Holstein cows N. Gengler1,*, Y. Chen1, A. Vanlierde2, F. Dehareng2, H. Soyeurt1 ,H. Atashi1,3 1ULi ge-GxABT, Gembloux, Belgium 2CRA-W, Gembloux, Belgium 3Shiraz University, Shiraz, Iran

  2. Steps Towards Genomic Evaluation for CH4 Breeding goal - Trait definition Ongoing (slow) process Phenotype - Data recording Model setup and genetic parameter estimation Genetic genomic evaluation system - Setup and running of routines Breeding program 2 INTERBULL Meeting 2024

  3. Today Current status of implementation in Holstein First results ability to estimate EBV Updates on the link between CH4and other evaluated traits Future developments 3 INTERBULL Meeting 2024

  4. Definition of CH4Traits in Dairy Cows Common traits - CH4production (g/day per cow) - CH4 yield (g/kg intake) intake = DMI - CH4 intensity (g/kg output) output = combination of Milk, F%, P% (can be Milk or FPM or FPCM or ECM) Other recently developed traits - Residual CH4 = CH4prod. Ephen or gen[CH4 |(milk prod. + maintenance)] - CH4Efficiency = CH4prod. Egen[CH4 |(milk, fat and protein yields)] Canadian Trait (https://lactanet.ca/en/introducing-methane-efficiency/) 4 INTERBULL Meeting 2024

  5. Used MIR Equation 900 800 Measured CH4 (g/day) 700 600 BE IRL CH UK FR DK DEU 500 400 300 200 100 0 0 100 200 300 400 500 600 700 800 Predicted CH4 (g/day) CH4 Ref. method n data n cows Origin R c SEC (g/d) R cv SECV (g/d) BE, IE, CH, UK, FR, DK, DE 5 SF6 & RC 1,089 299 0.73 53 0.68 57

  6. Ongoing: Test Computations Walloon Data Lactation 1 2 3 All (1-3) TD CH4 records Cows 1 935 284 1 528 675 1 081 440 4 545 399 287 511 226 132 161 234 328 290 Mean CH4(g/day) SD CH4(g/day) 323 354 367 344 68 70 72 72 + 18 467 genotypes for Holsteins (not yet used) 6 INTERBULL Meeting 2024

  7. Walloon Walloon + Other populations Milk, Fat, Protein, Records MIR CH4TD Records Genetic Evaluations (1 / population x trait) MACE Evaluations (1 / trait) Walloon RR Genetic Evaluation Model RCH4 MCH4 ECH4 EBV (and REL) EBV (and REL) EBV (and REL) 7 INTERBULL Meeting 2024

  8. First results 8 INTERBULL Meeting 2024

  9. Evaluated International Sires for CH4/ RCH4 (30 daug. with records + EBV for MACE/GMACE available + REL CH4 min 0.50) Number of sires (n = 1,058) 9 INTERBULL Meeting 2024

  10. Distribution of REBV for CH4and RCH4 (same n = 1,058 sires) 10 INTERBULL Meeting 2024

  11. Distribution of Reliability for CH4and RCH4 (n = 1,058 sires) Range: 0.72 0.99 Range: 0.50 0.98 11 INTERBULL Meeting 2024

  12. Pearson correlations among 5 traits based on EBV of bulls (n=1,178) (based on EBV of same n = 1,058 sires) Pearson Correlations Among 5 Traits CH4 RCH4 MY FY PY CH4 1.00 0.85 0.16 0.51 0.33 RCH4 1.00 0.00 0.00 0.00 MY 1.00 0.49 0.81 FY 1.00 0.71 PY 1.00 12 INTERBULL Meeting 2024

  13. Updates on the link between CH4/ RCH4and other evaluated traits 13 INTERBULL Meeting 2024

  14. Trait CH4 RCH4 Index CH4 RCH4 Udder health V L(Production) 0.35 0.30 0.50 0.01 Longevity V M(Feet&Legs) 0.45 0.33 0.21 0.16 Fertility V C(Body) 0.20 0.25 0.09 0.08 Direct CE V P(Udder) 0.36 0.20 0.33 0.35 Maternal CE V T(Conformation) 0.19 0.08 0.34 0.33 Stature V F(Functional traits) 0.16 0.17 0.45 0.34 Angularity V G(Global index) 0.16 0.15 0.61 0.25 14 INTERBULL Meeting 2024

  15. Trait CH4 RCH4 Index CH4 RCH4 Udder health V L(Production) 0.35 0.30 0.50 0.01 Longevity V M(Feet&Legs) 0.45 0.33 0.21 0.16 Fertility V C(Body) 0.20 0.25 0.09 0.08 Direct CE V P(Udder) 0.36 0.20 0.33 0.35 Maternal CE V T(Conformation) 0.19 0.08 0.34 0.33 Stature V F(Functional traits) 0.16 0.17 0.45 0.34 Angularity V G(Global index) 0.16 0.15 0.61 0.25 15 INTERBULL Meeting 2024

  16. Trait CH4 RCH4 Index CH4 RCH4 Udder health V L(Production) 0.35 0.30 0.50 0.01 Longevity V M(Feet&Legs) 0.45 0.33 0.21 0.16 Fertility V C(Body) 0.20 0.25 0.09 0.08 Direct CE V P(Udder) 0.36 0.20 0.33 0.35 Maternal CE V T(Conformation) 0.19 0.08 0.34 0.33 Stature V F(Functional traits) 0.16 0.17 0.45 0.34 Angularity V G(Global index) 0.16 0.15 0.61 0.25 16 INTERBULL Meeting 2024

  17. Outstanding issues and future developments 17 INTERBULL Meeting 2024

  18. Remaining problem: Defining ECH4 Our results, confirm other earlier results: Therefore, if we want to do reasonable breeding should we not define CH4efficiency at a constant economic level? In our context need to compare to expected CH4at a given V G! But there is far from any consensus on these correlations! 18 INTERBULL Meeting 2024

  19. Remaining problem: Defining ECH4 Our results, confirm other earlier results: CH4 Economic results Therefore, if we want to do reasonable breeding should we not define CH4efficiency at a constant economic level? In our context need to compare to expected CH4at a given V G! Selection index to the rescue ! CH4Economic Efficiency based on CH4production Egen[CH4 | V G] 19 INTERBULL Meeting 2024

  20. Practical Implementation Steps Integration in our (new) ssGBLUP workflow - Reminder: currently (since 2015): Approximate Bayesian ssGBLUP system regenerating ssGBLUP-MME from EBV and REL - New (starting 2024-2025): (Except type) all evaluations full ssGBLUP External information (i.e., MACE EBV) introduced into systems - Through pseudo-records (DRP and ERC) and pseudo-traits - Avoiding double counting . Extension to Dual-Purpose Blue Cattle MIR-CH4equation! 20 INTERBULL Meeting 2024

  21. International Collaborations Constantly improving MIR-CH4prediction equation - Incoming GreenFeed data through several collaborations - Other breeds dual-purpose Exchange of SNP CH4 effects with other countries - Integration into ssGBLUP equation system INTERBULL 21 INTERBULL Meeting 2024

  22. Acknowledgements Support of the Futurospectre partnership - Aw groupe Comit du Lait CRA-W ULi ge-GxABT CECI Consortium for computational resources Service Public de Wallonie National Fund for Scientific Research Support by different European Projects Many international partners . 22 INTERBULL Meeting 2024

  23. Thank you for your attention Nicolas Gengler ULi ge - GxABT nicolas.gengler@uliege.be 23 INTERBULL Meeting 2024

Related


No related presentations.

More Related Content