Literature DB >> 27939541

Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying.

Y de Haas1, M Pszczola2, H Soyeurt3, E Wall4, J Lassen5.   

Abstract

Phenotypes have been reviewed to select for lower-emitting animals in order to decrease the environmental footprint of dairy cattle products. This includes direct selection for breath measurements, as well as indirect selection via indicator traits such as feed intake, milk spectral data, and rumen microbial communities. Many of these traits are expensive or difficult to record, or both, but with genomic selection, inclusion of methane emission as a breeding goal trait is feasible, even with a limited number of registrations. At present, methane emission is not included among breeding goals for dairy cattle worldwide. There is no incentive to include enteric methane in breeding goals, although global warming and the release of greenhouse gases is a much-debated political topic. However, if selection for reduced methane emission became a reality, there would be limited consensus as to which phenotype to select for: methane in liters per day or grams per day, methane in liters per kilogram of energy-corrected milk or dry matter intake, or a residual methane phenotype, where methane production is corrected for milk production and the weight of the cow. We have reviewed the advantages and disadvantages of these traits, and discuss the methods for selection and consequences for these phenotypes.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dairy cattle; enteric methane; environmental phenotypes; genomic selection; greenhouse gases

Mesh:

Substances:

Year:  2016        PMID: 27939541     DOI: 10.3168/jds.2016-11246

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


  13 in total

Review 1.  Host genetics associated with gut microbiota and methane emission in cattle.

Authors:  Sudarshan Mahala; Anju Kala; Amit Kumar
Journal:  Mol Biol Rep       Date:  2022-07-01       Impact factor: 2.742

2.  Genomic Prediction of Complex Traits in Animal Breeding with Long Breeding History, the Dairy Cattle Case.

Authors:  Joel Ira Weller
Journal:  Methods Mol Biol       Date:  2022

3.  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

4.  Eating Time as a Genetic Indicator of Methane Emissions and Feed Efficiency in Australian Maternal Composite Sheep.

Authors:  Boris J Sepulveda; Stephanie K Muir; Sunduimijid Bolormaa; Matthew I Knight; Ralph Behrendt; Iona M MacLeod; Jennie E Pryce; Hans D Daetwyler
Journal:  Front Genet       Date:  2022-05-11       Impact factor: 4.772

5.  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

6.  Comparison of Methods to Measure Methane for Use in Genetic Evaluation of Dairy Cattle.

Authors:  Philip C Garnsworthy; Gareth F Difford; Matthew J Bell; Ali R Bayat; Pekka Huhtanen; Björn Kuhla; Jan Lassen; Nico Peiren; Marcin Pszczola; Diana Sorg; Marleen H P W Visker; Tianhai Yan
Journal:  Animals (Basel)       Date:  2019-10-21       Impact factor: 2.752

7.  Genetic Parameters of Different FTIR-Enabled Phenotyping Tools Derived from Milk Fatty Acid Profile for Reducing Enteric Methane Emissions in Dairy Cattle.

Authors:  Giovanni Bittante; Claudio Cipolat-Gotet; Alessio Cecchinato
Journal:  Animals (Basel)       Date:  2020-09-15       Impact factor: 2.752

Review 8.  Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review.

Authors:  Miguel A Gutierrez-Reinoso; Pedro M Aponte; Manuel Garcia-Herreros
Journal:  Animals (Basel)       Date:  2021-02-25       Impact factor: 3.231

9.  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

10.  Enteric Methane Emissions of Dairy Cows Predicted from Fatty Acid Profiles of Milk, Cream, Cheese, Ricotta, Whey, and Scotta.

Authors:  Giovanni Bittante; Matteo Bergamaschi
Journal:  Animals (Basel)       Date:  2019-12-29       Impact factor: 2.752

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