Genetic Parameters of Methane Emission, Feed Efficiency, Feeding Behaviour, and Growth Traits in Beef Cattle

Climate change has intensified the need to reduce greenhouse gas emissions, particularly methane (CH<sub>4</sub>) from enteric fermentation. Genetic selection has emerged as a promising mitigation strategy; however, studies on Bos taurus indicus , especially Nellore cattle, remain limited. This study aimed to estimate heritabilities and genetic correlations for CH<sub>4</sub> emission traits and their relationships with feeding behaviour, feed efficiency, and performance, as well as to evaluate the direct and correlated responses to selection for lower CH<sub>4</sub> emissions. Data were from 2418 Nellore cattle evaluated in feed efficiency trials. Traits included dry matter intake (DMI), feeding time per day (FTd), feed events per day (FEd), and feeding rate (FR), residual feed intake (RFI), average daily gain (ADG), and mid-test body weight (MBW). Methane emissions were measured in 1153 animals using the SF<sub>6</sub> tracer technique, providing daily CH<sub>4</sub> emission (g/day), CH<sub>4</sub> per unit of DMI (CH<sub>4</sub>DMI, g/day), and residual CH<sub>4</sub> (CH<sub>4</sub>res). Variance components were estimated using the single-step genomic BLUP (ssGBLUP) method through Bayesian inference. Heritability estimates were moderate for CH<sub>4</sub> (0.25), CH<sub>4</sub>DMI (0.14), CH<sub>4</sub>res (0.14), and performance traits such as DMI (0.35), ADG (0.36), and MBW (0.40). Higher estimates were observed for feeding behaviour traits FTd (0.49) and FR (0.42). Genetic correlations between CH<sub>4</sub> and production traits were high, particularly with DMI (0.79), ADG (0.90), and MBW (0.91), indicating that selection for reduced CH<sub>4</sub> emissions may affect growth. Direct selection for CH<sub>4</sub> led to a modest annual reduction in emissions but also a correlated decline in MBW. These results demonstrate that while CH<sub>4</sub> emissions are heritable, their strong genetic association with productivity traits indicates that isolated selection for reduced emissions may lead to undesirable outcomes in feed intake and performance. Therefore, strategies aiming to reduce CH<sub>4</sub> emissions should consider the genetic relationships with growth and efficiency traits to avoid compromising animal productivity.

Authors

Institutions

Publication Details

Journal
Journal of Animal Breeding and Genetics
Published
2025-12-12
DOI
https://doi.org/10.1111/jbg.70037
Primary Topic
Ruminant Nutrition and Digestive Physiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Parameters of Methane Emission, Feed Efficiency, Feeding Behaviour, and Growth Traits in Beef Cattle

Lúcio Flávio Macêdo Mota, Gustavo Roberto Dias Rodrigues, Lúcia Galvão de Albuquerque, Juliana de Oliveira Santos Marcatto et al.
Journal of Animal Breeding and Genetics
Ruminant Nutrition and Digestive Physiology
article

Genetic Parameters of Methane Emission, Feed Efficiency, Feeding Behaviour, and Growth Traits in Beef Cattle

Lúcio Flávio Macêdo Mota, Gustavo Roberto Dias Rodrigues, Lúcia Galvão de Albuquerque, Juliana de Oliveira Santos Marcatto, J. A. Silva, Maria Eugênia Zerlotti Mercadante, Amalia Mejia Pelaez, Fábio Morato Monteiro, Roberta Carrilho Canesin, Júlia de Paula Soares Valente, Tainara Luana da Silva Soares
article en

Abstract

Climate change has intensified the need to reduce greenhouse gas emissions, particularly methane (CH<sub>4</sub>) from enteric fermentation. Genetic selection has emerged as a promising mitigation strategy; however, studies on Bos taurus indicus , especially Nellore cattle, remain limited. This study aimed to estimate heritabilities and genetic correlations for CH<sub>4</sub> emission traits and their relationships with feeding behaviour, feed efficiency, and performance, as well as to evaluate the direct and correlated responses to selection for lower CH<sub>4</sub> emissions. Data were from 2418 Nellore cattle evaluated in feed efficiency trials. Traits included dry matter intake (DMI), feeding time per day (FTd), feed events per day (FEd), and feeding rate (FR), residual feed intake (RFI), average daily gain (ADG), and mid-test body weight (MBW). Methane emissions were measured in 1153 animals using the SF<sub>6</sub> tracer technique, providing daily CH<sub>4</sub> emission (g/day), CH<sub>4</sub> per unit of DMI (CH<sub>4</sub>DMI, g/day), and residual CH<sub>4</sub> (CH<sub>4</sub>res). Variance components were estimated using the single-step genomic BLUP (ssGBLUP) method through Bayesian inference. Heritability estimates were moderate for CH<sub>4</sub> (0.25), CH<sub>4</sub>DMI (0.14), CH<sub>4</sub>res (0.14), and performance traits such as DMI (0.35), ADG (0.36), and MBW (0.40). Higher estimates were observed for feeding behaviour traits FTd (0.49) and FR (0.42). Genetic correlations between CH<sub>4</sub> and production traits were high, particularly with DMI (0.79), ADG (0.90), and MBW (0.91), indicating that selection for reduced CH<sub>4</sub> emissions may affect growth. Direct selection for CH<sub>4</sub> led to a modest annual reduction in emissions but also a correlated decline in MBW. These results demonstrate that while CH<sub>4</sub> emissions are heritable, their strong genetic association with productivity traits indicates that isolated selection for reduced emissions may lead to undesirable outcomes in feed intake and performance. Therefore, strategies aiming to reduce CH<sub>4</sub> emissions should consider the genetic relationships with growth and efficiency traits to avoid compromising animal productivity.

Journal of Animal Breeding and Genetics
Faculdade de Medicina de São José do Rio Preto (BR), Brazilian Agricultural Research Corporation (BR), Universidade Estadual Paulista (Unesp) (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 50%
Ruminant Nutrition and Digestive Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.