Literature DB >> 32747114

Short communication: Variation in feed efficiency hampers use of carbon dioxide as a tracer gas in measuring methane emissions in on-farm conditions.

P Huhtanen1, A R Bayat2, P Lund3, A L F Hellwing3, M R Weisbjerg3.   

Abstract

Breeding cows for low CH4 emissions requires that the trait is variable and that it can be recorded with low cost from an adequate number of individuals and with high precision, but not necessarily with high accuracy if the trait is measured with high repeatability. The CH4:CO2 ratio in expired breath is a trait often used as a tracer with the production of CO2 predicted from body weight (BW), energy-corrected milk yield, and days of pregnancy. This approach assumes that efficiency of energy utilization for maintenance and production is constant. Data (307 cow-period observations) from 2 locations using the same setup for measuring CH4 and CO2 in respiration chambers were compiled, and observed production of CH4 and CO2 was compared with the equivalent predicted production using 2 different approaches. Carbon dioxide production was predicted using a previously reported model based on metabolic BW and energy-corrected milk production and a currently developed model based on energy requirements and the relationship between observed CO2 and heat production (models 1 and 2, respectively). Animals used were categorized (low, medium, and high efficiency) according to (1) residual feed intake and (2) residual milk production. Model 1 underestimated CH4 production by 15%, whereas model 2 overestimated CH4 by 1.4% for the whole database. Model 1 underestimated CO2 production by 2.8 and 0.9 kg/d for low- and high-efficiency cows, respectively, whereas model 2 underestimated CO2 production by 0.9 kg/d for low-efficient animals but overestimated it by 1.2 kg/d for high-efficiency cows. Efficient cows produce less heat, and consequently CO2, per unit of metabolic body weight and energy-corrected milk than inefficient cows, challenging the use of CO2 as a tracer gas. Because of biased estimates of CO2 production, the models overestimated CH4 production of high-efficiency cows by, on average, 17% relative to low-efficiency cows, respectively. Selecting low CH4-emitting cows using a CO2 tracer method can therefore favor inefficient cows over efficient cows.
Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CO(2) tracer method; breeding; dairy cow; methane

Mesh:

Substances:

Year:  2020        PMID: 32747114     DOI: 10.3168/jds.2020-18559

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


  4 in total

1.  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

2.  Full adoption of the most effective strategies to mitigate methane emissions by ruminants can help meet the 1.5 °C target by 2030 but not 2050.

Authors:  Claudia Arndt; Alexander N Hristov; William J Price; Shelby C McClelland; Amalia M Pelaez; Sergio F Cueva; Joonpyo Oh; Jan Dijkstra; André Bannink; Ali R Bayat; Les A Crompton; Maguy A Eugène; Dolapo Enahoro; Ermias Kebreab; Michael Kreuzer; Mark McGee; Cécile Martin; Charles J Newbold; Christopher K Reynolds; Angela Schwarm; Kevin J Shingfield; Jolien B Veneman; David R Yáñez-Ruiz; Zhongtang Yu
Journal:  Proc Natl Acad Sci U S A       Date:  2022-05-10       Impact factor: 12.779

Review 3.  Quantification of methane emitted by ruminants: a review of methods.

Authors:  Luis Orlindo Tedeschi; Adibe Luiz Abdalla; Clementina Álvarez; Samuel Weniga Anuga; Jacobo Arango; Karen A Beauchemin; Philippe Becquet; Alexandre Berndt; Robert Burns; Camillo De Camillis; Julián Chará; Javier Martin Echazarreta; Mélynda Hassouna; David Kenny; Michael Mathot; Rogerio M Mauricio; Shelby C McClelland; Mutian Niu; Alice Anyango Onyango; Ranjan Parajuli; Luiz Gustavo Ribeiro Pereira; Agustin Del Prado; Maria Paz Tieri; Aimable Uwizeye; Ermias Kebreab
Journal:  J Anim Sci       Date:  2022-07-01       Impact factor: 3.338

Review 4.  Global Warming and Dairy Cattle: How to Control and Reduce Methane Emission.

Authors:  Dovilė Bačėninaitė; Karina Džermeikaitė; Ramūnas Antanaitis
Journal:  Animals (Basel)       Date:  2022-10-06       Impact factor: 3.231

  4 in total

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