Breeding for reduced methane emission and feed-efficient Holstein cows: An international response
| Autor: | Peter J. Moate, Gareth Frank Difford, C.I.V. Manzanilla-Pech, D. Mansan Gordo, C.M. Richardson, S.R.O. Williams, T.C.S. Chud, Filippo Miglior, P. L⊘vendahl, Paul Stothard, Jan Lassen, Flavio S Schenkel, Jennie E. Pryce, S. Wegmann |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Canada
Biology Residual Feed conversion ratio methane production residual methane methane yield feed efficiency Methane 03 medical and health sciences chemistry.chemical_compound Animal science Genetics Animals Lactation Dry matter Methane production Selection (genetic algorithm) 030304 developmental biology 0303 health sciences Australia 0402 animal and dairy science 04 agricultural and veterinary sciences Heritability 040201 dairy & animal science Diet Milk chemistry Cattle Female Animal Science and Zoology Residual feed intake Switzerland Food Science |
| Zdroj: | Manzanilla Pech, C I V, Løvendahl, P, Mansan Gordo, D G, Difford, G, Pryce, J, Schenkel, F S, Wegmann, S, Miglior, F, Chud, T C S, Moate, P J, Williams, S R O, Richardson, C M, Stothard, P & Lassen, J 2021, ' Breeding for reduced methane emission and feed-efficient Holstein cows : An international response ', Journal of Dairy Science, vol. 104, no. 8, pp. 8983-9001 . https://doi.org/10.3168/jds.2020-19889 |
| ISSN: | 0022-0302 |
| Popis: | Selecting for lower methane (CH4) emitting animals is one of the best approaches to reduce CH4 given that genetic progress is permanent and cumulative over generations. As genetic selection requires a large number of animals with records and few countries actively record CH4, combining data from different countries could help to expedite accurate genetic parameters for CH4 traits and build a future genomic reference population. Additionally, if we want to include CH4 in the breeding goal, it is important to know the genetic correlations of CH4 traits with other economically important traits. Therefore, the aim of this study was first to estimate genetic parameters of 7 suggested methane traits, as well as genetic correlations between methane traits and production, maintenance, and efficiency traits using a multicountry database. The second aim was to estimate genetic correlations within parities and stages of lactation for CH4. The third aim was to evaluate the expected response of economically important traits by including CH4 traits in the breeding goal. A total of 15,320 methane production (MeP, g/d) records from 2,990 cows belonging to 4 countries (Canada, Australia, Switzerland, and Denmark) were analyzed. Records on dry matter intake (DMI), body weight (BW), body condition score, and milk yield (MY) were also available. Additional traits such as methane yield (MeY; g/kg DMI), methane intensity (MeI; g/kg energy-corrected milk), a genetic standardized methane production, and 3 definitions of residual methane production (g/d), residual feed intake, metabolic BW (MBW), BW change, and energy-corrected milk were calculated. The estimated heritability of MeP was 0.21, whereas heritability estimates for MeY and MeI were 0.30 and 0.38, and for the residual methane traits heritability ranged from 0.13 to 0.16. Genetic correlations between different methane traits were moderate to high (0.41 to 0.97). Genetic correlations between MeP and economically important traits ranged from 0.29 (MY) to 0.65 (BW and MBW), being 0.41 for DMI. Selection index calculations showed that residual methane had the most potential for inclusion in the breeding goal when compared with MeP, MeY, and MeI, as residual methane allows for selection of low methane emitting animals without compromising other economically important traits. Inclusion of residual feed intake in the breeding goal could further reduce methane, as the correlation with residual methane is moderate and elicits a favorable correlated response. Adding a negative economic value for methane could facilitate a substantial reduction in methane emissions while maintaining an increase in milk production. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|