Literature DB >> 26364110

Short communication: Genetic study of methane production predicted from milk fat composition in dairy cows.

S van Engelen1, H Bovenhuis2, J Dijkstra3, J A M van Arendonk4, M H P W Visker4.   

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 rans-10+11, C18:1 cis-11, and C18:1 cis-13 (R(2)=0.73). Methane2 was based on C4:0, C18:0, C18:1 trans-10+11, and C18:1 cis-11 (R(2)=0.70). Methane3 was based on C4:0, C6:0, and C18:1 trans-10+11 (R(2)=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.
Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dairy cow; milk fatty acid; predicted methane yield

Mesh:

Substances:

Year:  2015        PMID: 26364110     DOI: 10.3168/jds.2014-8989

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  7 in total

1.  Heritability of methane emissions from dairy cows over a lactation measured on commercial farms.

Authors:  M Pszczola; K Rzewuska; S Mucha; T Strabel
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

2.  Estimates of the genetic contribution to methane emission in dairy cows: a meta-analysis.

Authors:  Navid Ghavi Hossein-Zadeh
Journal:  Sci Rep       Date:  2022-07-19       Impact factor: 4.996

Review 3.  Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism.

Authors:  Robert J Wallace; Timothy J Snelling; Christine A McCartney; Ilma Tapio; Francesco Strozzi
Journal:  Genet Sel Evol       Date:  2017-01-16       Impact factor: 4.297

4.  Genome-wide association identifies methane production level relation to genetic control of digestive tract development in dairy cows.

Authors:  M Pszczola; T Strabel; S Mucha; E Sell-Kubiak
Journal:  Sci Rep       Date:  2018-10-11       Impact factor: 4.379

5.  Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data.

Authors:  Ali Jalil Sarghale; Mohammad Moradi Shahrebabak; Hossein Moradi Shahrebabak; Ardeshir Nejati Javaremi; Mahdi Saatchi; Majid Khansefid; Younes Miar
Journal:  BMC Genet       Date:  2020-11-23       Impact factor: 2.797

6.  Genetic Parameters for Methane Emissions Using Indirect Prediction of Methane and Its Association with Milk and Milk Composition Traits.

Authors:  Heydar Ghiasi; Beata Sitkowska; Dariusz Piwczyński; Magdalena Kolenda
Journal:  Animals (Basel)       Date:  2022-08-14       Impact factor: 3.231

7.  Genetic and genomic analyses for predicted methane-related traits in Japanese Black steers.

Authors:  Yoshinobu Uemoto; Masayuki Takeda; Atushi Ogino; Kazuhito Kurogi; Shinichro Ogawa; Masahiro Satoh; Fuminori Terada
Journal:  Anim Sci J       Date:  2020 Jan-Dec       Impact factor: 1.749

  7 in total

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