Prediction of enteric methane emissions from Holstein dairy cows fed various forage sources. (24th September 2015)

• Record Type: Journal Article
• Authors: Rico, D. E.; Chouinard, P. Y.; Hassanat, F.; Benchaar, C.; Gervais, R.
• Is Part Of: Animal. Volume 10:Number 2(2016:Feb.)
• Page Start: 203
• Page End: 211
• Publication Date: 2015-09-24
• Subjects: dairy cow, -- fatty acid, -- forage, -- methane emission; Animal breeding -- Periodicals; Animal genetics -- Periodicals; Animal nutrition -- Periodicals; Animal physiology -- Periodicals; Environmental sciences -- Periodicals; 636.005
• DOI: 10.1017/S1751731115001949
• Languages: English
• ISSNs: 1751-7311

Abstract

Abstract : Milk fatty acid (FA) profile has been previously used as a predictor of enteric CH4 output in dairy cows fed diets supplemented with plant oils, which can potentially impact ruminal fermentation. The objective of this study was to investigate the relationships between milk FA and enteric CH4 emissions in lactating dairy cows fed different types of forages in the context of commonly fed diets. A total of 81 observations from three separate 3×3 Latin square design (32-day periods) experiments including a total of 27 lactating cows (96±27 days in milk; mean±SD) were used. Dietary forages were included at 60% of ration dry matter and were as follows: (1) 100% corn silage, (2) 100% alfalfa silage, (3) 100% barley silage, (4) 100% timothy silage, (5) 50 : 50 mix of corn and alfalfa silages, (6) 50 : 50 mix of barley and corn silages and (7) 50 : 50 mix of timothy and alfalfa silages. Enteric CH4 output was measured using respiration chambers during 3 consecutive days. Milk was sampled during the last 7 days of each period and analyzed for components and FA profile. Test variables included dry matter intake (DMI; kg/day), NDF (%), ether extract (%), milk yield (kg/day), milk components (%) and individual milk FA (% of total FA). Candidate multivariate models were obtained using the Least Absolute Shrinkage and Selection Operator and Least-Angle Regression methods based on the Schwarz Bayesian Criterion. Data were then fitted into a random regression using the MIXED procedure including the random effects of cow, period and study. A positive correlation was observed between CH4 and DMI ( r =0.59, P <0.001), whereas negative associations were observed between CH4 and cis 9-17:1 ( r =−0.58, P <0.001), and trans 8, cis 13-18:2 ( r =−0.51, P <0.001). Three different candidate models were selected and the best fit candidate model predicted CH4 with a coefficient of determination of 0.84 after correction for cow, period and study effects and was: CH4 (g/day)=319.7−57.4×15:0−13.8× cis 9-17:1−39.5× trans 10-18:1−59.9× cis 11-18:1−253.1× trans 8, cis 12-18:2−642.7× trans 8, cis 13-18:2−195.7× trans 11, cis 15-18:2+16.5×DMI. Overall and linear prediction biases of all models were not significant ( P >0.19). Milk FA profile and DMI can be used to predict CH4 emissions in dairy cows across a wide range of dietary forage sources.