Session 15 – Breeding for climate change – mitigation

<< Back to the Session index of Lyon 2023

Theater

Genomic evaluation to reduce enteric methane emissions in Holstein cattle
F. Malchiodi, H.R. Oliveira, S. Narayana, A. Fleming, H. Sweett, S. Shadpour, J. Jamrozik, G. Kistemaker, P. Sullivan, F.S. Schenkel, B. Van Doormaal, C.F. Baes and F. Miglior

Methane phenotyping for genetic selection – can we measure bulls, not cows?
L.R. McNaughton, P. Beatson, G. Worth, D.J. Garrick, D. Garrick, R. Handcock and R.J. Spelman

Novel formulas to calculate methane production from concentrations while using sniffers
C.I.V. Manzanilla-Pech, M.H. Kjeldsen, T. Villumsen and J. Lassen

Predicting methane production and intensity from milk mid-infrared spectra
S. Fresco, A. Vanlierde, R. Lefebvre, M. Gaborit, D. Boichard, R. Bore, S. Fritz, N. Gengler and P. Martin

Genetic parameters for enteric methane emissions of dairy cows using random regression models
A.E. Van Breukelen, M.N. Aldridge, R.F. Veerkamp and Y. De Haas

Heritability of methane emission in dairy cows estimated from GreenFeed measures in commercial herds
B. Heringstad, K.A. Bakke and G. Difford

Rapid measurements for breeding low methane cattle
S.J. Rowe, A. Searle, T. Bilton, S. Sevier, S. Gebbie, A. Jonker, P. Janssen, S. Hickey, N. Amyes, S. Worku and J. McEwan

Collecting and preparing sniffer records for genetic evaluation of enteric methane in dairy cattle
T.M. Villumsen, P. Løvendahl, V. Milkevych, R. Krogh, C.I.V. Manzanilla-Pech, M. Bjerring, J. Lassen and G. Sahana

Methods and tools for automated processing of sniffer-based methane emission data from dairy cows
V. Milkevych, R.K. Nielsen, T.M. Villumsen, P. Løvendahl and G. Sahana

Indicators of genetic selection using sniffer method to reduce methane emissions from Holstein cows
Y. Uemoto, T. Tomaru, M. Masuda, K. Uchisawa, K. Hashiba, Y. Nishikawa, K. Suzuki, T. Kojima, T. Suzuki and F. Terada

Reducing methane emissions: foundations for genetic evaluations for sustainable Irish beef cattle
C.V. Ryan, S. Conroy, T. Pabiou, D.C. Purfield and R. Evans

Determining relative values of genetic traits of Chinese dairy cattle in greenhouse gas mitigation
Y. Wang, R. Shi, A. Van Der Linden, B.J. Ducro, Y. Wang, Y. Hou, S.J. Oosting and C.E. Van Middelaar

Effects of breeding for feed efficiency on carbon footprint of milk – LCA approach
S. Hietala, A. Astaptsev, E. Negussie, M.H. Lidauer and T. Mehtiö

Poster

Automated CT analysis to identify low emitting ruminants
S. Hitchman, L. Grundy, W. Bain, T. Johnson, M. Reis, H. Gunnarsdottir, J. McEwan and S. Rowe

Enteric methane emission of Nellore cattle from two lines selected for yearling weight
S.B. Gianvecchio, M.S. Borges, J.A. Silva, J.P.S. Valente, J.O.S. Marcatto, L.G. Albuquerque, J.N.S.G. Cyrillo and M.E.Z. Mercadante

Genetic correlation between enteric methane emission and feed efficiency and growth traits in cattle
M.E.Z. Mercadante, J.P.S. Valente, S.B. Gianvecchio, J.O.S. Marcatto, M.S. Borges, J.A. Silva, I.M.C. Garcia, S.F.M. Bonilha and L.G. Albuquerque

Heritability of predicted enteric methane emission in Japanese Holstein cows
R. Tatebayashi, A. Nishiura, F. Terada, Y. Uemoto, M. Aihara, T. Suzuki, I. Nonaka and O. Sasaki

Using genomic markers and microbiome data to predict methane emissions from Holstein cows
N. Saedi, M.S. Lund and E. Karaman