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Methane: Difference between revisions

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(Created methane page and loaded the trait template. Elizabeth (Edressler) will come in and add the content for feedback.)
 
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Methane (CH<sub>4</sub>) production from enteric fermentation of ruminant animals, such as beef cattle, impacts all three pillars of sustainability- environment, economic, and social. Several collection methods can quantify CH<sub>4</sub> emissions from beef cattle. Respiration chambers, the GreenFeed (C-Lock Inc.), the sulfur-hexafluoride tracer technique, infrared spectroscopy, and sniffers are currently the most common collection methods. Each collection method has distinct advantages and disadvantages for application to large scale genetic evaluations (Dressler et al. 2024). The most high-throughput methods to collect CH<sub>4</sub> phenotypes are the GreenFeed and sniffers. However, there are barriers to the implementation of these technologies. The GreenFeed is labor-intensive and costly. Whereas, sniffers, which are less expensive and require less labor, may be more suitable for ranking animals rather than providing absolute measurements as CH<sub>4</sub> concentration (ppm) is reported rather than CH<sub>4</sub> production (g/d; Difford et al., 2018). As phenotyping CH<sub>4</sub> production for genetic evaluations continues, development of more standardized phenotyping protocols for the GreenFeed and sniffers should be considered.
    To use this, add &preload=Template:Trait to the URL after
    clicking on the Create button or redlink and reload the page
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Although feed additives and dietary modifications have proven effective in reducing CH<sub>4</sub> emissions (reviewed by Honan et al., 2021), their mitigation effects persist only with continuous use. Other concerns include rumen adaptation to the treatment and practical application in grazing systems. In contrast, genetic selection for reduced CH<sub>4</sub> emissions would result in permanent and cumulative changes (Wall et al., 2010).
    Place brief trait definition/description here
===Phenotype===
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Daily methane production (grams/day) is the most direct phenotype to characterize CH<sub>4</sub> production. Other phenotypes can be calculated from daily methane production and related component traits, such as methane yield (g CH<sub>4</sub>/kg dry matter intake (DMI)) and methane intensity (g CH<sub>4</sub>/unit of animal product), similar to what is seen for DMI. These calculated traits are ratio traits that require additional animal information to calculate which may not be available in some production situations (i.e. feed intake while grazing).
 
Residual methane production (RMP) also has been proposed, which is calculated similarly to residual feed intake (RFI) or residual average daily gain. Although multiple calculations of RMP have been published, it is generally defined as the difference between observed and expected methane production calculated by the regression of methane production on DMI (and possibly other variables). Observed CH<sub>4</sub> production is adjusted for phenotypically correlated sources of variation, so that RMP is not correlated with those traits. Similar to BIF’s recommendations for selection on DMI rather than RFI, selection for reduced CH<sub>4</sub> production should involve the direct trait rather than a RMP trait. Moreover, development of an economic selection index would be beneficial to select for reduced CH<sub>4</sub> production with other appropriate economically relevant traits considered.


===Phenotype===
Identification of indicator traits that are correlated with CH4 production, but easier and/or less expensive to measure is a possible alternative. Indicator traits may be less effective for selection but would allow for a larger number of animals to be phenotyped.  
<!-- Describe ways the phenotype is collected
    E.g., for birth weight discuss digital scale, mechanical scale, hoof tape, etc.
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===Adjusted Value===
===Adjusted Value===
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No adjustments factors have been developed for methane phenotypes.
    Discuss how values are adjusted. E.g., 205 day ww, sex X aod adjustments, ratios, etc
    If the trait is not adjusted (e.g. Stayability) then say so
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===Contemporary Group===
===Contemporary Group===
<!-- Discuss how contemporary groups are formed -->
Contemporary groups for CH<sub>4</sub> production phenotyping should be similar in age, sex, and breed composition and receive similar management. All cattle within a contemporary group should have CH<sub>4</sub> production measured using the same collection method and protocol. Diet composition is known to influence CH<sub>4</sub> production (Beauchemin and McGinn, 2005). Therefore, diet should also be consistent within contemporary groups.
 
It is still unclear at which stage of production (grazing or confinement) animals should be phenotyped. Updates to these guidelines will be made in the future as research in this area develops.


===Genetic Evaluation===
===Genetic Evaluation===
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Collection of CH<sub>4</sub> production data on a large scale, as required for genetic evaluation, has proven both difficult and expensive. Literature reports that CH<sub>4</sub> production (g/d) from cattle is a moderately heritable trait ranging from 0.21 ± 0.06 to 0.30 ± 0.06 (Lassen and Lovendahl, 2016; Manzanilla-Pech et al., 2016) suggesting genetic selection is possible. Successful implementation of a genetic evaluation for methane traits will likely require collaboration across the beef industry.  
    Discuss the genetic model for EPD production.
    E.g., direct, maternal, permanent environment due to dam.  
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===Usage===
===Attribution===
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This article is a derivative of work performed by Elizabeth Dressler and Dr. Megan Rolf.
    Discuss in what circumstances the trait is an ERT or an indicator trait and how the trait should be used and not used.
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Revision as of 15:49, 18 November 2024

Methane (CH4) production from enteric fermentation of ruminant animals, such as beef cattle, impacts all three pillars of sustainability- environment, economic, and social. Several collection methods can quantify CH4 emissions from beef cattle. Respiration chambers, the GreenFeed (C-Lock Inc.), the sulfur-hexafluoride tracer technique, infrared spectroscopy, and sniffers are currently the most common collection methods. Each collection method has distinct advantages and disadvantages for application to large scale genetic evaluations (Dressler et al. 2024). The most high-throughput methods to collect CH4 phenotypes are the GreenFeed and sniffers. However, there are barriers to the implementation of these technologies. The GreenFeed is labor-intensive and costly. Whereas, sniffers, which are less expensive and require less labor, may be more suitable for ranking animals rather than providing absolute measurements as CH4 concentration (ppm) is reported rather than CH4 production (g/d; Difford et al., 2018). As phenotyping CH4 production for genetic evaluations continues, development of more standardized phenotyping protocols for the GreenFeed and sniffers should be considered.

Although feed additives and dietary modifications have proven effective in reducing CH4 emissions (reviewed by Honan et al., 2021), their mitigation effects persist only with continuous use. Other concerns include rumen adaptation to the treatment and practical application in grazing systems. In contrast, genetic selection for reduced CH4 emissions would result in permanent and cumulative changes (Wall et al., 2010).

Phenotype

Daily methane production (grams/day) is the most direct phenotype to characterize CH4 production. Other phenotypes can be calculated from daily methane production and related component traits, such as methane yield (g CH4/kg dry matter intake (DMI)) and methane intensity (g CH4/unit of animal product), similar to what is seen for DMI. These calculated traits are ratio traits that require additional animal information to calculate which may not be available in some production situations (i.e. feed intake while grazing).

Residual methane production (RMP) also has been proposed, which is calculated similarly to residual feed intake (RFI) or residual average daily gain. Although multiple calculations of RMP have been published, it is generally defined as the difference between observed and expected methane production calculated by the regression of methane production on DMI (and possibly other variables). Observed CH4 production is adjusted for phenotypically correlated sources of variation, so that RMP is not correlated with those traits. Similar to BIF’s recommendations for selection on DMI rather than RFI, selection for reduced CH4 production should involve the direct trait rather than a RMP trait. Moreover, development of an economic selection index would be beneficial to select for reduced CH4 production with other appropriate economically relevant traits considered.

Identification of indicator traits that are correlated with CH4 production, but easier and/or less expensive to measure is a possible alternative. Indicator traits may be less effective for selection but would allow for a larger number of animals to be phenotyped.

Adjusted Value

No adjustments factors have been developed for methane phenotypes.

Contemporary Group

Contemporary groups for CH4 production phenotyping should be similar in age, sex, and breed composition and receive similar management. All cattle within a contemporary group should have CH4 production measured using the same collection method and protocol. Diet composition is known to influence CH4 production (Beauchemin and McGinn, 2005). Therefore, diet should also be consistent within contemporary groups.

It is still unclear at which stage of production (grazing or confinement) animals should be phenotyped. Updates to these guidelines will be made in the future as research in this area develops.

Genetic Evaluation

Collection of CH4 production data on a large scale, as required for genetic evaluation, has proven both difficult and expensive. Literature reports that CH4 production (g/d) from cattle is a moderately heritable trait ranging from 0.21 ± 0.06 to 0.30 ± 0.06 (Lassen and Lovendahl, 2016; Manzanilla-Pech et al., 2016) suggesting genetic selection is possible. Successful implementation of a genetic evaluation for methane traits will likely require collaboration across the beef industry.

Attribution

This article is a derivative of work performed by Elizabeth Dressler and Dr. Megan Rolf.