Methane production in cattle calculated by the nutrient composition of the diet

Jentsch, W.; Schweigel, Monika; Weißbach, Friedrich; Scholze, H; Pitroff, Wolfgang; Derno, M.

doi:10.1080/17450390601106580

Cited by 73 publications

(59 citation statements)

References 29 publications

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“…In addition, equation I includes CEL as a positive predictor, with HC and fat as a negative predictors; consequently, the accuracy and precision of this equation was greater than the other equations that consider GEI, NDF, forage proportion and BW. Jentsch et al (2007) reported that the fiber components HC and CEL have a positive impact on CH 4 production. However, this effect was not completely observed in equation I because it considers only MEI and CEL as positive predictors of CH 4 with HC and fat as suppressors of CH 4 production.…”

Section: Discussionmentioning

confidence: 99%

“…For steers, equations for GEL and DL were the same (S-GEL = S-DL). Models reported by Bratzler and Forbes (1940), Blaxter and Clapperton (1965), Jentsch et al (2007), Kebreab et al Evaluation of methane equations for beef cattle (2009), Alemu et al (2011, Ramin and Huhtanen (2013) were not evaluated because the information needed for these equations was not provided in most of the papers.…”

Section: Extant Prediction Equationsmentioning

confidence: 99%

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An evaluation of the accuracy and precision of methane prediction equations for beef cattle fed high-forage and high-grain diets

Escobar-Bahamondes

Oba

Beauchemin

2017

Animal

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The study determined the performance of equations to predict enteric methane (CH 4 ) from beef cattle fed forage-and grain-based diets. Many equations are available to predict CH 4 from beef cattle and the predictions vary substantially among equations. The aims were to (1) construct a database of CH 4 emissions for beef cattle from published literature, and (2) identify the most precise and accurate extant CH 4 prediction models for beef cattle fed diets varying in forage content. The database was comprised of treatment means of CH 4 production from in vivo beef studies published from 2000 to 2015. Criteria to include data in the database were as follows: animal description, intakes, diet composition and CH 4 production. In all, 54 published equations that predict CH 4 production from diet composition were evaluated. Precision and accuracy of the equations were evaluated using the concordance correlation coefficient (r c ), root mean square prediction error (RMSPE), model efficiency and analysis of errors. Equations were ranked using a combined index of the various statistical assessments based on principal component analysis. The final database contained 53 studies and 207 treatment means that were divided into two data sets: diets containing ⩾400 g/kg dry matter (DM) forage (n = 116) and diets containing ⩽200 g/kg DM forage (n = 42). Diets containing between ⩽400 and ⩾200 g/kg DM forage were not included in the analysis because of their limited numbers (n = 6). Outliers, treatment means where feed was fed restrictively and diets with CH 4 mitigation additives were omitted (n = 43). Using the high-forage dataset the best-fit equations were the International Panel on Climate Change Tier 2 method, 3 equations for steers that considered gross energy intake (GEI) and body weight and an equation that considered dry matter intake and starch:neutral detergent fiber with r c ranging from 0.60 to 0.73 and RMSPE from 35.6 to 45.9 g/day. For the high-grain diets, the 5 best-fit equations considered intakes of metabolisable energy, cellulose, hemicellulose and fat, or for steers GEI and body weight, with r c ranging from 0.35 to 0.52 and RMSPE from 47.4 to 62.9 g/day. Ranking of extant CH 4 prediction equations for their accuracy and precision differed with forage content of the diet. When used for cattle fed high-grain diets, extant CH 4 prediction models were generally imprecise and lacked accuracy.

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Section: Discussionmentioning

confidence: 99%

Section: Extant Prediction Equationsmentioning

confidence: 99%

An evaluation of the accuracy and precision of methane prediction equations for beef cattle fed high-forage and high-grain diets

Escobar-Bahamondes

Oba

Beauchemin

2017

Animal

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“…Regression equations are mostly based on empirical studies of measured CH 4 emissions and can include older data from production systems, animal genetics and feed ingredients that are not currently used today, for example, dried forage instead of silage, cf. Jentsch et al (2007).…”

Section: Livestock and Manurementioning

confidence: 99%

An LCA researcher's wish list – data and emission models needed to improve LCA studies of animal production

Cederberg

Henriksson

Berglund

2013

Animal

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The last decade has seen an increase in environmental systems analysis of livestock production, resulting in a significant number of studies with a holistic approach often based on life-cycle assessment (LCA) methodology. The growing public interest in global warming has added to this development; guidelines for carbon footprint (CF) accounting have been developed, including for greenhouse gas (GHG) accounting of animal products. Here we give an overview of methods for estimating GHG emissions, with emphasis on nitrous oxide, methane and carbon from land use change, presently used in LCA/CF studies of animal products. We discuss where methods and data availability for GHGs and nitrogen (N) compounds most urgently need to be improved in order to produce more accurate environmental assessments of livestock production. We conclude that the top priority is to improve models for N fluxes and emissions from soils and to implement soil carbon change models in LCA/CF studies of animal products. We also point at the need for more farm data and studies measuring emissions from soils, manure and livestock in developing countries.

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“…The measurements were made in respiration chambers between 1957 to 1989 within the scope of investigations on energetic feed evaluation and energy requirement of farm animals (JENTSCH et al 2000(JENTSCH et al , 2001(JENTSCH et al , 2003. Using CH4 release data from these studies, regression equations were formed allowing calculation of CH4 formation from the level of feed intake or the nutrient composition of the diet (JENTSCH et al 2007).…”

Section: Methodsmentioning

confidence: 99%

“…Here, information obtained from these studies and data from more recent publications by JENTSCH et al (2007) andVERMOREL et al (2008) …”

Section: Introductionmentioning

confidence: 99%

Quantitative results for methane production of cattle in Germany

et al. 2009

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An extensive number of investigations on the energetic utilization efficiency of nutrients and feedstuffs by cattle were carried out in the former Oskar-Kellner-Institute (now the »Oskar Kellner« Research Unit of Nutritional Physiology at the Research Institute for the Biology of Farm Animals (FBN), Dummerstorf). The amounts of methane (CH4) that they produced were compiled and stratified with regard to various performances, dietary nutrient composition and nutrition levels. With increasing food intake and performance, an increase of CH4 emission per animal was observed. However, with increasing performance, a strong decrease of CH4 production per unit of product was determined. Altogether, the 12.74 million cattle in Germany produce 1.04 million tons of CH4 per year. This represents 1.25 % of the CH4 production of the 1.3 thousand million (UK)/billion (US) cattle in the world or 0.22 % of the total emission on the earth. As a greenhouse gas, CH4 from cattle worldwide and from cattle in Germany account for 3.5 % and 0.04 % of global warming, respectively. In addition, opportunities for a further reduction of enteric CH4 release are discussed. Keywords

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Methane production in cattle calculated by the nutrient composition of the diet

Cited by 73 publications

References 29 publications

An evaluation of the accuracy and precision of methane prediction equations for beef cattle fed high-forage and high-grain diets

An evaluation of the accuracy and precision of methane prediction equations for beef cattle fed high-forage and high-grain diets

An LCA researcher's wish list – data and emission models needed to improve LCA studies of animal production

Quantitative results for methane production of cattle in Germany

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