Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Mitigation and Adaptation Strategies for Global Change
Published in: Mitigation and Adaptation Strategies for Global Change 4/2017

30-11-2015 | Original Article

Prediction of enteric methane emission from cattle using linear and non-linear statistical models in tropical production systems

Author: Amlan Kumar Patra

Published in: Mitigation and Adaptation Strategies for Global Change | Issue 4/2017

Login to get access

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The objective of this study was to develop linear and nonlinear statistical models to predict enteric methane emission (EME) from cattle (Bos) in the tropics based on dietary and animal characteristic variables. A database from 35 publications, which included 142 mean observations of EME measured on 830 cattle, was constructed to develop EME prediction models. Several extant equations of EME developed for North American and European cattle were also evaluated for suitability of those equations in this dataset. The average feed intake and methane production were 7.7 ± 0.34 kg/day and 7.99 ± 0.39 MJ/day, respectively. The simple linear equation that predicted EME with high precision and accuracy was: methane (MJ/day) = 1.29(±0.906) + 0.878(±0.125) × dry matter intake (DMI, kg/day), [root mean square prediction error (RMSPE) = 31.0 % with 92 % of RMSPE being random error; R 2 = 0.70]. Multiple regression equation that predicted methane production slightly better than simple prediction equations was: methane (MJ/day) = 0.910(±0.746) + 1.472(±0.154) × DMI (kg/day) – 1.388(±0.451) × feeding level as a multiple of maintenace energy intake – 0.669(±0.338) × acid detergent fiber intake (kg/day), [RMSPE = 22.2 %, with 99.6 % of MSPE from random error; R 2 = 0.84]. Among the nonlinear equations developed, Mitscherlich model, i.e., methane (MJ/day) = 71.47(±22.14.6) × (1 - exp{−0.0156(±0.0051) × DMI (kg/day), [RMSPE = 30.3 %, with 97.6 % of RMSPE from random error; R 2 = 0.83] performed better than simple linear and other nonlinear models, but the predictability and goodness of fits of the equation did not improve compared with the multiple regression models. Extant equations overestimated EME, and many extant models had low accuracy and precision. The equations developed in this study will be useful for improved estimates of national methane inventory preparation and for a better understanding of dietary factors influencing EME for tropical cattle feeding systems.
previous article Dynamic equity carbon permit allocation scheme to limit global warming to two degrees
next article Screening of climatic impacts on a country’s international supply chains: Japan as a case study
Literature
Axelsson J (1949) The amount of produced methane energy in the European metabolic experiments with adult cattle. Kungl Lantbrukshogskolans Ann [Ann R Agric Coll Sweden] 16:404–419
Bairagi B, Mohini M (2003) Methane production and nutrient utilization at low levels of oil in diets of steers. Indian J Anim Prod Manage 19:84–89
Benchaar C, Pomar C, Chiquette J (2001) Evaluation of dietary strategies to reduce methane production in ruminants: a modelling approach. Can J Anim Sci 81:563–574CrossRef
Bhar R, Lal M, Khan MY (1999) Nutrient utilization in crossbred dairy cows under economical feeding regime. Indian J Anim Nutr 16:358–361
Bibby J, Toutenburg H (1977) Prediction and improved estimation in linear models. Wiley, London
Blaxter KL, Clapperton JL (1965) Prediction of the amount of methane produced by ruminants. Br J Nutr 19:511–522CrossRef
Bouchard K, Wittenberg KM, Legesse G, Krause DO, Khafipour E, Buckley KE, Ominski KH (2013) Comparison of feed intake, body weight gain, enteric methane emission and relative abundance of rumen microbes in steers fed sainfoin and lucerne silages under western Canadian conditions. Grass Forage Sci. doi:10.​1111/​gfs.​12105
De D, Mohini M, Singh GP (2012) Influence of monensin enriched UMMB feeding on in vivo methane emission in crossbred calves fed on wheat straw and concentrate based diet. Indian J Anim Sci 82:640–644
Demarchi JJAA, Manella MQ, Lourenço AJ, Alleoni GF, Frighetto RTS, Primavesi O, Lima MA (2003) Preliminary results on methane emission by Nelore cattle in brazil grazing Brachiaria brizantha cv. Marandu. In: Proceedings of the 3rd international methane and nitrous oxide mitigation conference, Beijing, China, 17–21 November 17–21 2003
Draper NR, Smith H (1998) Applied regression analysis, 3rd edn. Wiley, New York
Ellis JL, Kebreab E, Odongo NE, McBride BW, Okine EK, France J (2007) Prediction of methane production from dairy and beef cattle. J Dairy Sci 90:3456–3467CrossRef
Ellis JL, Kebreab E, Odongo NE, Beauchemin K, Mcginn S, Nkrumah JD, Moore SS, Christopherson R, Murdoch GK, McBride BW, Okine EK, France J (2009) Modeling methane production from beef cattle using linear and nonlinear approaches. J Anim Sci 87:1334–1345CrossRef
Ellis JL, Bannink A, France J, Kebreab E, Dijkstra J (2010) Evaluation of enteric methane prediction equations for dairy cows used in whole farm models. Glob Chang Biol 16:3246–3256CrossRef
Geary RC (1963) Some results about relations between stochastic variables: a discussion document. Rev Int Stat Inst 31:163–181CrossRef
Gerber PJ, Steinfeld H, Henderson B, Mottet A, Opio C, Dijkman J, Falcucci A, Tempio G (2013) Tackling climate change through livestock – a global assessment of emissions and mitigation opportunities. Food and Agriculture Organization of the United Nations (FAO), Rome
Ghosh A, Murarilal, Haque N, Khan MY (2001) Determination of energy requirement for maintenance of adult nonlactating crossbred cows. Indian J Anim Sci 71:950–954
Girdhar N, Khan MY, Lal M (1995) Energy balance studies in Holstein Friesian and HF x Hariana calves fed on wheat straw based ration. Indian J Anim Nutr 12:13–18
Grainger C, Beauchemin KA (2011) Can enteric methane emissions from ruminants be lowered without lowering their production? Anim Feed Sci Technol 166–167:308–320CrossRef
Hammond KJ, Burke JL, Koolarrd JP, Muetzel S, Pinares-Patino CS, Waghorn GC (2013) Effects of feed intake on enteric methane emissions from sheep fed fresh white clover (Trifolium repens) and perennial ryegrass (Lolium perenne) forages. Anim Feed Sci Technol 179:121–132CrossRef
Haque N, Saraswat ML, Sahoo A (2001) Methane production and energy balance in crossbred male calves fed on rations containing different ratios of green sorghum and wheat straw. Indian J Anim Sci 71:797–799
Hegarty RS (2004) Genotype differences and their impact on digestive tract function of ruminants: a review. Aust J Exp Agric 44:458–467CrossRef
Hernandez-Sanabria E, Goonewardene LA, Wang Z, Zhou M, Moore SS, Guan LL (2013) Influence of sire breed on the interplay among rumen microbial populations inhabiting the rumen liquid of the progeny in beef cattle. PLoS ONE 8(3), e58461. doi:10.​1371/​journal.​pone.​0058461 CrossRef
Holter JB, Young AJ (1992) Methane production in dry and lactating Holstein cows. J Dairy Sci 75:2165–2175CrossRef
Hristov AN, Oh J, Lee C, Meinen R, Montes F, Ott T, Firkins J, Rotz A, Dell C, Adesogan A, Yang W, Tricarico J, Kebreab E, Waghorn G, Dijkstra J, Oosting S (2013) Mitigation of greenhouse gas emissions in livestock production—a review of technical options for non-CO2 emissions, vol 177, FAO animal production and health. FAO, Rome
Hulshof RBA, Berndt A, Gerrits WJJ, Dijkstra J, van Zijderveld SM, Newbold JR, Perdok HB (2012) Dietary nitrate supplementation reduces methane emission in beef cattle fed sugarcane-based diets. J Anim Sci 90:2317–2323
IPCC (2013) Climate change 2013: the physical science basis. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Contribution of working group I to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge and New York
Jain P, Mohini M, Singhal KK, Tyagi AK (2011) Effect of herbal mixture supplementation on methane emission and milk production in cattle. Indian J Anim Nutr 28:377–384
Kannan A, Garg MR (2009) Effect of ration balancing on methane emission reduction in lactating animals under field conditions. Indian J Dairy Sci 62:292–296
Kannan A, Garg MR, Kumar BVM (2011) Effect of ration balancing on milk production, microbial protein synthesis and methane emission in crossbred cows under field conditions in Chittoor district of Andhra Pradesh. Indian J Anim Nutr 28:117–123
Kannan A, Garg MR, Singh P (2010) Effect of ration balancing on methane emission and milk production in lactating animals under field conditions in Rae Bareli district of Uttar Pradesh. Indian J Anim Nutr 27:103–108
Kearl LC (1982) Nutrient requirements of ruminants in developing countries. International Feedstuffs Institute, Utah Agriculture Experiment Station, Utah State University, Logan
Kebreab E, Clark K, Wagner-Riddle C, France J (2006) Methane and nitrous oxide emissions from Canadian animal agriculture: a review. Can J Anim Sci 86:135–158CrossRef
Kebreab E, Johnson KA, Archibeque SL, Pape D, Wirth T (2008) Model for estimating enteric methane emissions from United States dairy and feedlot cattle. J Anim Sci 86:2738–2748CrossRef
Kennedy APM, Charmley E (2012) Methane yields from Brahman cattle fed tropical grasses and legumes. Anim Prod Sci 52:225–239
King EE, Smith RP, St-Pierre B, Wright AD (2011) Differences in the rumen methanogen populations of lactating Jersey and Holstein dairy cows under the same diet regimen. Appl Environ Microbiol 77:5682–5687CrossRef
Kriss M (1930) Quantitative relations of the dry matter of the food consumed, the heat production, the gaseous outgo, and the insensible loss in body weight of cattle. J Agric Res 40:283–295
Kurihara M, Magner T, Hunter RA, McCrabb GJ (1999) Methane production and energy partition of cattle in the tropics. Br J Nutr 81:227–234
Lal M, Khan MY, Kishan J, Katiyar RC, Joshi DC (1987) Comparative nutrient utilization by Holstein Fresian, crossbred cattle and buffaloes fed on wheat straw based ration. Indian J Anim Nutr 4:177–180
Lin LIK (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics 45:255–268CrossRef
Malik PK, Singal KK (2008) Influence of lucerne fodder supplementation on enteric methane emission in crossbred calves. Indian J Anim Sci 78:293–297
Mills JAN, Dijkstra J, Bannink A, Cammell SB, Kebreab E, France J (2001) A mechanistic model of whole-tract digestion and methanogenesis in the lactating dairy cow: model development, evaluation, and application. J Anim Sci 79:1584–1597CrossRef
Mills JAN, Kebreab E, Yates CW, Crompton LA, Cammell SB, Dhanoa MS, Agnew RE, France J (2003) Alternative approaches to predicting methane emissions from dairy cows. J Anim Sci 81:3143–3150
Moate PJ, Williams SRO, Grainger C, Hannah MC, Ponnampalam EN, Eckard RJ (2011) Influence of cold-pressed canola, brewers grains and hominy meal as dietary supplements suitable for reducing enteric methane emissions from lactating dairy cows. Anim Feed Sci Technol 166–167:254–264CrossRef
Moe PW, Tyrrell HF (1979) Methane production in dairy cows. J Dairy Sci 62:1583–1586CrossRef
Mohini M, Mani V (2007) Effect of various ratios of wheat straw and concentrate mixture on digestibility and methane production in cattle. In: Bakshi MPS, Wadha M (eds) Proceedings of tropical animal nutrition conference, Karnal, India, 4–7 October 2007
Mohini M, Mani V, Singh GP (2007) Effect of different ratios of green and dry roughages on milk production and methane emission in cattle. Indian J Anim Sci 76:79–82
Mohini M, Singh GP (2010) Effect of supplementation of urea molassess mineral block on the milk yield and methane production in lactating cattle on different plane of nutrition. Indian J Anim Nutr 27:96–102
Mohini M, Singhal KK, Sirohi SK, Mohanta RK (2009) Methane emission from Sahiwal cows on dietary supplementation of fumeric acid as a feed additive. Indian J Anim Nutr 26:51–55
Moraes LE, Strathe AB, Fadel JG, Casper DP, Kebreab E (2014) Prediction of enteric methane emissions from cattle. Glob Chang Biol 20:2140–2148CrossRef
Mupeta B, Livingston R, Westberg H, Hamma M (2000) Effect of graded levels of ram press sunflower cake on yield and composition of milk and methane production in crossbred (Bos taurus x Bos indicus) cows given ad libitum mixed maize straw, groundnut tops, sunflower heads basal feed. In: Proceedings of the second international methane mitigation conference, Novosibirsk, Russia, 8–23 June 2000.
Nascimento CFM, Demarchi JJAA, Berndt A, Rodrigues PHM (2008) Methane emissions by nellore beef cattle consuming Brachiaria brizantha with different stages of maturation. Aust J Exp Agric 48:lxiv–lxv
Neto GB, Berndt A, Nogueira JR, Demarchi JJAA, Nogueira JC (2009) Monensin and protein supplements on methane production and rumen protozoa in bovine fed low quality forage. South Afr J Anim Sci39 (Suppl 1):280–283
Oldick BS, Firkins JL, St-Pierre NR (1999) Estimation of microbial nitrogen flow to the duodenum of cattle based on dry matter intake and diet composition. J Dairy Sci 82:1497–1511CrossRef
Oliveira SG, Berchielli TT, Pedreira MS, Primavesi O, Frighetto R, Lima MA (2007) Effect of tannin levels in sorghum silage and concentrate supplementation on apparent digestibility and methane emission in beef cattle. Anim Feed Sci Technol 135:236–248
Patra AK (2010) Aspects of nitrogen metabolism in sheep-fed mixed diets containing tree and shrub foliages. Br J Nutr 103:1319–1330CrossRef
Patra AK (2011) Responses of feeding prebiotics on nutrient digestibility, faecal microbiota composition and short-chain fatty acid concentrations in dogs. Animal 5:1743–1750CrossRef
Patra AK (2012) Estimation of methane and nitrous oxide emissions from Indian livestock. J Environ Monit 14:2673–2684CrossRef
Patra AK (2013) The effect of dietary fats on methane emissions, and its other effects on digestibility, rumen fermentation and lactation performance in cattle: a meta-analysis. Livest Sci 155:244–254CrossRef
Patra AK (2014a) Trends and projected estimates of GHG emissions from Indian livestock in comparisons with GHG emissions from world and developing countries. Asian-Australas J Anim Sci 27:592–599CrossRef
Patra AK (2014b) Prediction of enteric methane emission from buffaloes using statistical models. Agric Ecosyst Environ 195:139–148CrossRef
Patra AK, Lalhriatpuii M (2016) Development of statistical models for prediction of enteric methane emission from goats using nutrient composition and intake variables. Agric Ecosyst Environ 215:89-99CrossRef
Pattanaik AK, Sastry VRB, Katiyar, RC, Lal M (2003) Influence of grain processing and dietary protein degradability on nitrogen metabolism, energy balance and methane production in young calves. Asian-Australas J Anim Sci 16:1443–1450
Pedreira MS, Berchielli TT, Primavesi O, Oliveira SG, Frighetto R, Lima MA (2012) Influence of different supplements and sugarcane (Saccharum officinarum L.) cultivars on intake, digestible variables and methane production of dairy heifers under tropical conditions. Trop Anim Health Prod 44:1773–1778
Pedreira MS, Oliveira SG, Primavesi O, Lima MA, Frighetto R, Berchielli TT (2013) Methane emissions and estimates of ruminal fermentation parameters in beef cattle fed different dietary concentrate levels. R Bras Zootec 42:592–598
Pedreira MS, Primavesi O, Lima MA, Frighetto R, Oliveira SG, Berchielli TT (2009) Ruminal methane emission by dairy cattle in southeast Brazil. Sci Agric (Piracicaba, Braz) 66:742–750
Perna Jr F, Marino CT, Pinedo LA, Cassiano ECO, Martins MF, Solórzano LAR, Meyer PM, Frighetto RTS, Berndt A, Rodrigues PHM (2013) Effect of feed additives on methane production as determined by the tracer technique SF6 in bovine. In: Proceedings of the 4th international conference on sustainable animal agriculture for developing countries (saadc2013), Lanzhou university, Lanzhou, China, 27–31 7uly 2013
Possenti RA, Franzolin R, Schammas EA, Demarchi JJAA, Frighetto RTS, Lima MA (2008) Efeitos de dietas contendo Leucaena leucocephala e Saccharomyces cerevisiae sobre a fermentação ruminal e a emissão de gás metano em bovines R Bras Zootec 37:1509–1516
Primavesi O, Frighetto RTS, Pedreira MS, Lima M A, Berchielli TT, Barbosa PF (2004) Metano entérico de bovinos leiteiros em condições tropicais brasileiras. Pesquisa Agropecuária Brasileira 39:277–283
Primavesi O, Frighetto R, Pedreira MS, Lima MA, Berchielli TT, Rodrigues AA (2003) Low-fiber sugarcane to improve meat production with less methane emission in tropical dry season. In: Proceedings of the 3rd international methane and nitrous oxide mitigation conference Beijing, China, 17–21 November 2003
Ramin M, Huhtanen P (2012) Development of non-linear models for predicting enteric methane production. Acta Agric Scand Sect A Anim Sci 62:254–258
Ramin M, Huhtanen P (2013) Development of equations for predicting methane emissions from ruminants. J Dairy Sci 96:2476–2493CrossRef
Rejil MC, Mohini M, Singhal M (2008) Methane emission as affected by dietary supplementation of raw and roasted fenugreek seeds in cattle. Indian J Anim Nutr 25:37–42
SAS (2001) SAS User’s guide. Statistics. SAS Inst. Inc., Cary
Schinckel AP, Craig BA (2002) Evaluation of alternative nonlinear mixed effects models of swine growth. Prof Anim Sci 18:219–226
Schulin-Zeuthen M, Kebreab E, Gerrits WJ, Lopez S, Fan MZ, Dias RS, France J (2007) Meta-analysis of phosphorus balance data from growing pigs. J Anim Sci 85:1953–1961CrossRef
Srivastava AK, Garg MR (2002) Use of sulphur hexafluoride tracer technique for measurement of methane emission from ruminants. Indian J Dairy Sci 55:36–39
St-Pierre NR (2001) Invited review: Integrating quantitative findings from multiple studies using mixed model methodology. J Dairy Sci 84:741–755CrossRef
St-Pierre NR (2003) Reassessment of biases in predicted nitrogen flows to the duodenum by NRC 2001. J Dairy Sci 86:344–350CrossRef
Theil H (1966) Applied economic forecasting. North-Holland Publishing Company, Amsterdam
Tomkins NW, McGinn SM, Turner DA, Charmley E (2011) Comparison of open-circuit respiration chambers with a micrometeorological method for determining methane emissions from beef cattle grazing a tropical pasture. Anim Feed Sci Technol 166–167:240– 247
Van Soest PJ (1994) Nutritional ecology of the ruminant. Cornell University Press, USA
Wilkerson VA, Casper DP, Mertens DR (1995) The prediction of methane production of Holstein cows by several equations. J Dairy Sci 78:2402–2414CrossRef
Wright ADG, Klieve AV (2011) Does the complexity of the rumen microbial ecology preclude methane mitigation? Anim Feed Sci Technol 166–167:248–253CrossRef
Yan T, Agnew RE, Gordon FJ, Porter MG (2000) Prediction of methane energy output in dairy and beef cattle offered grass silage-based diets. Livest Prod Sci 64:253–263CrossRef
Yan T, Porter MG, Mayne CS (2009) Prediction of methane emission from beef cattle using data measured in indirect open-circuit respiration calorimeters. Animal 3:1455–1462CrossRef
Zhou M, Hernandez-Sanabria E, Guan LL (2010) Characterization of variation in rumen methanogenic communities under different dietary and host feed efficiency conditions, as determined by PCR-denaturing gradient gel electrophoresis analysis. Appl Environ Microbiol 76:3776–3786CrossRef
Metadata
Title
Prediction of enteric methane emission from cattle using linear and non-linear statistical models in tropical production systems
Author
Amlan Kumar Patra
Publication date
30-11-2015
Publisher
Springer Netherlands
Published in
Mitigation and Adaptation Strategies for Global Change / Issue 4/2017
Print ISSN: 1381-2386
Electronic ISSN: 1573-1596
DOI
https://doi.org/10.1007/s11027-015-9691-7

Other articles of this Issue 4/2017

Mitigation and Adaptation Strategies for Global Change 4/2017 Go to the issue

Original Article

The European Union Solidarity Fund: an assessment of its recent reforms

Original Article

Climate change adaptation trends in small island developing states

Original Article

Dynamic equity carbon permit allocation scheme to limit global warming to two degrees

Original Article

Simulating climate change impacts and potential adaptations on rice yields in the Sichuan Basin, China

Original Article

Screening of climatic impacts on a country’s international supply chains: Japan as a case study

Original Article

Impacts of climate variability and changes on domestic water use in the Yellow River Basin of China