Relationship between residual feed intake and enteric methane emission in Nellore cattle

Mercadante, Maria Eugênia Zerlotti; Caliman, Ana Paula de Melo; Canesin, Roberta Carrilho; Bonilha, Sarah Figueiredo Martins; Berndt, A.; Frighetto, R. T. S.; Magnani, Elaine; Branco, Renata Helena

doi:10.1590/s1806-92902015000700004

Cited by 28 publications

(20 citation statements)

References 25 publications

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“…The prediction errors of the equations used in this study were 31, 26, and 17% of the means for PME 1 , PME 2 , and PME 3 , respectively (Ellis et al, 2007;Ellis et al, 2009;Sobrinho, 2015). These percentages are fairly high, considering that coefficients of variation of 18 to 20% have been reported in studies in which enteric methane emission was measured using respirometers or the sulfur hexafluoride tracer gas technique (Herd et al, 2014;Fiorentini et al, 2014;Mercadante et al, 2015). The prediction error itself may limit the detection of individual differences in enteric methane emission.…”

Section: Resultsmentioning

confidence: 97%

Short Communication Heritability of predicted daily enteric methane emissions from growing Nellore cattle

et al. 2015

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ABSTRACT. The objective of this study was to estimate the heritability of predicted daily enteric methane emissions (PME) from growing Nellore cattle. Dry matter intake (DMI) records of 955 Nellore animals that were born between 2004 and 2013, which were obtained in a postweaning performance test lasting 83 ± 15 days, were used. The PME of each animal, obtained as MJ/day and converted to g/day, was estimated using three equations: PME 1 (MJ/day) = 2.29 + 0.647 x DMI (kg/day), PME 2 (MJ/day) = 3.96 + 0.561 x DMI (kg/day), and PME 3 (MJ/day) = 4.41 + 0.50 x DMI (kg/day). The heritability (h 2 ) of PME obtained using the three equations was identical to the h 2 of DMI, regardless of whether the model included the effect of mid-test weight (h 2 = 0.32 ± 0.069) or not (h 2 = 0.48 ± 0.069). The equations were based exclusively on variations in DMI, and detected variations in this trait without taking into consideration individual differences in enteric methane emission caused by differences in fermentation and digestion capacity. Therefore, prediction equations of enteric methane emission from DMI are not adequate to estimate differences between 14124 T.L.P. Sobrinho et al.

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Section: Resultsmentioning

confidence: 97%

Short Communication Heritability of predicted daily enteric methane emissions from growing Nellore cattle

et al. 2015

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“…In the other studies designed to measure the response to a selection of RFIs, there was no significant CH 4 difference between low-and high-RFI cattle. In a first study, Mercadante et al [13] measured CH 4 of 22 low-RFI and 24 high-RFI animals selected among 118 male and female yearling Nellore cattle: CH 4 was measured with the SF6 technic and was not different between the two groups: 142 and 144 g/day, respectively [p = 0.69]. However, the methane yield was significantly higher [p < 0.001] in the low-RFI (25.1 g/kg DMI) compared to the high-RFI (22.8 g/kg DMI) group.…”

Section: Calculated Growth and Methane Efficiency Traitsmentioning

confidence: 99%

“…Based on first results [7,8], Waghorn and Hegarthy [9] and Basarab et al [10] stated that selecting individuals with a low residual feed intake (RFI) would reduce methane production as a direct consequence of a reduction of feed intake. The results on the reduction of methane yield are more conflicting [11][12][13][14][15][16][17]. There is a need of new experiments to verify if low RFI beef cattle are actually low methane emitters before implementing breeding programs.…”

Section: Introductionmentioning

confidence: 99%

Methane and Carbon Dioxide Emission of Beef Heifers in Relation with Growth and Feed Efficiency

Renand

Vinet

Decruyenaere

et al. 2019

Animals

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Simple Summary: For sustainable meat production, beef farmers must make the best use of grass and roughage while limiting the carbon footprint of their herds. The genetic improvement in feed efficiency and enteric methane production of replacement heifers is possible if the recorded phenotypes are available. Intuitively, the relationship between the two traits should be negative, i.e., favorable, since the energy lost with the methane is not available for heifer metabolism. The measurement of feed efficiency requires several weeks of feed intake recording. The enteric methane emission rate can also be recorded over several weeks. The two traits of 326 beef heifers from two experimental farms were measured simultaneously for 8 to 12 weeks. The correlations between roughage intake, daily gain, and methane were all positive. The enteric methane emission rate was positively related to body weight, daily gain, and dry matter intake. The relationship with feed efficiency was slightly positive, i.e., unfavorable. Therefore, the two traits should be recorded simultaneously to evidence low-emitting and efficient heifers. This study also showed that replacing the feed intake recording with the carbon dioxide emission rate appeared potentially beneficial for selecting these low-emitting and efficient heifers.Abstract: Reducing enteric methane production and improving the feed efficiency of heifers on roughage diets are important selection objectives for sustainable beef production. The objective of the current study was to assess the relationship between different methane production and feed efficiency criteria of beef heifers fed ad libitum roughage diets. A total of 326 Charolais heifers aged 22 months were controlled in two farms and fed either a grass silage (n = 252) or a natural meadow hay (n = 74) diet. Methane (CH 4 ) and carbon dioxide (CO 2 ) emission rates (g/day) were measured with GreenFeed systems. The dry matter intake (DMI), average daily gain (ADG), CH 4 and CO 2 were measured over 8 to 12 weeks. Positive correlations were observed among body weight, DMI, ADG, CH 4 and CO 2 . The residual feed intake (r wg DMI) was not related to CH 4 or residual methane (r wi CH 4 ). It was negatively correlated with methane yield (CH 4 /DMI): R p = −0.87 and −0.83. Residual gain (r w iADG) and ADG/DMI were weakly and positively related to residual methane (r wi CH 4 ): R p = 0.21 on average. The ratio ADG/CO 2 appeared to be a useful proxy of ADG/DMI (R p = 0.64 and 0.97) and CH 4 /CO 2 a proxy of methane yield (R p = 0.24 and 0.33) for selecting low-emitting and efficient heifers.

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“…• Aumentar o mérito genético dos animais: selecionar animais com melhor CAR (consumo alimentar residual) (HEGARTY et al, 2007;JONES et al, 2011;MERCADANTE et al, 2015), melhorar os índices produtivos (GIDLUND et al, 2015;WARNER et al, 2017) O manejo das pastagens foi com lotação variável "put and take" (MOTT; LUCAS, 1952), adotando a mesma oferta de forragem, com o uso de animais "reguladores" para todos os tratamentos, exceto o sistema degradado. O suplemento mineral comercial (mínimo de 120 g/kg de Ca; 88 g/kg de P e 5 g/kg de Mg) foi fornecido ad libitum em todos os tratamentos.…”

Section: Ações De Mitigação Do Metano Entéricounclassified

Intensidades de emissão de gás metano de bovinos Nelore terminados a pasto e cruzados em confinamento

Sakamoto¹

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Relationship between residual feed intake and enteric methane emission in Nellore cattle

Cited by 28 publications

References 25 publications

Short Communication Heritability of predicted daily enteric methane emissions from growing Nellore cattle

Short Communication Heritability of predicted daily enteric methane emissions from growing Nellore cattle

Methane and Carbon Dioxide Emission of Beef Heifers in Relation with Growth and Feed Efficiency

Intensidades de emissão de gás metano de bovinos Nelore terminados a pasto e cruzados em confinamento

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