Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 492971
Title Short communication: Genetic study of methane production predicted from milk fat composition in dairy cows
Author(s) Engelen, S. van; Bovenhuis, H.; Dijkstra, J.; Arendonk, J.A.M. van; Visker, M.H.P.W.
Source Journal of Dairy Science 98 (2015)11. - ISSN 0022-0302 - p. 8223 - 8226.
Department(s) Animal Breeding and Genomics
Animal Nutrition
Publication type Refereed Article in a scientific journal
Publication year 2015
Abstract Dairy cows produce enteric methane, a greenhouse gas with 25 times the global warming potential of CO2. Breeding could make a permanent, cumulative, and long-term contribution to methane reduction. Due to a lack of accurate, repeatable, individual methane measurements needed for breeding, indicators of methane production based on milk fatty acids have been proposed. The aim of the present study was to quantify the genetic variation for predicted methane yields. The milk fat composition of 1,905 first-lactation Dutch Holstein-Friesian cows was used to investigate 3 different predicted methane yields (g/kg of DMI): Methane1, Methane2, and Methane3. Methane1 was based on the milk fat proportions of C17:0anteiso, C18:1 trans-10+11, C18:1 cis-11, and C18:1 cis-13 (R2= 0.73). Methane2 was based on C4:0, C18:0, C18:1 trans-10+11, and C18:1 cis-11 (R2 = 0.70). Methane3 was based on C4:0, C6:0, and C18:1 trans-10+11 (R2 =0.63). Predicted methane yields were demonstrated to be heritable traits, with heritabilities between 0.12 and 0.44. Breeding can, thus, be used to decrease methane production predicted based on milk fatty acids.
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