Variation among individual dairy cows in methane measurements made on farm during milking

Garnsworthy, P. C.; Craigon, J.; Hernandez-Medrano, Juan; Saunders, Neil F. W.

doi:10.3168/jds.2011-4606

Cited by 100 publications

(125 citation statements)

References 18 publications

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“…Several studies have worked on developing methods for large-scale phenotyping of individual CH 4 measurements (Garnsworthy et al 2012;Lassen et al 2012). These methods focus on CH 4 recordings while cows are being milked in automatic milking systems.…”

Section: Introductionmentioning

confidence: 99%

Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins

et al. 2016

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Abstract. In this study the objective was to estimate the genetic and genomic relationship between methane-related traits and milk fatty acid profiles. This was done using two different estimation procedures: a single nucleotide polymorphismbased genomic relationship matrix and a classical pedigree-based relationship matrix. Data was generated on three Danish Holstein herds and a total of 339 cows were available for the study. Methane phenotypes were generated in milking robots during milking over a weekly period and the milk phenotypes were quantified from milk from one milking. Genetic and genomic parameters were estimated using a mixed linear model. Results showed that heritability estimates were comparable between models, but the standard error was lower for genomic heritabilities compared with genetic heritabilities. Genetic as well as genomic correlations were highly variable and had high standard errors, reflecting a similar pattern as for the heritability estimates with lower standard errors for the genomic correlations compared with the pedigree-based genetic correlations. Many of the correlations though had a magnitude that makes further studies on larger datasets worthwhile. The results indicate that genotypes are highly valuable in studies where limited number of phenotypes can be recorded. Also it shows that there is some significant genetic association between methane in the breath of the cow and milk fatty acids profiles.

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Section: Introductionmentioning

confidence: 99%

Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins

et al. 2016

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“…Thus, the feed intake and milk yield data obtained in this type of study may not fully represent the milk production potential of cows over a full lactation. There is evidence indicating that daily CH 4 emission rates (g/day) of dairy cows varied considerably during lactation, but followed the variation curves of feed intake and milk production (Garnsworthy et al, 2012). Daily CH 4 emission rates also vary among cows on commercial farms (Bell et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Is there a relationship between genetic merit and enteric methane emission rate of lactating Holstein-Friesian dairy cows?

Dong

Yan

Ferris

et al. 2015

Animal

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The present study was undertaken to examine the effect of cow genetic merit on enteric methane (CH 4 ) emission rate. The study used a data set from 32 respiration calorimeter studies undertaken at this Institute between 1992 and 2010, with all studies involving lactating Holstein-Friesian dairy cows. Cow genetic merit was defined as either profit index (PIN) or profitable lifetime index (PLI), with these two United Kingdom genetic indexes expressing the expected improvement in profit associated with an individual cow, compared with the population average. While PIN is based solely on milk production, PLI includes milk production and a number of other functional traits including health, fertility and longevity. The data set had a large range in PIN (n = 736 records, −£30 to +£63) and PLI (n = 548 records, −£131 to +£184), days in milk (18 to 354), energy corrected milk yield (16.0 to 45.6 kg/day) and CH 4 emission (138 to 598 g/day). The effect of cow genetic merit (PIN or PLI) was evaluated using ANOVA and linear mixed modelling techniques after removing the effects of a number of animal and diet factors. The ANOVA was undertaken by dividing each data set of PIN and PLI into three sub-groups (PIN: <£3, £3 to £15 and >£15, PLI: <£23, £23 to £67 and >£67) with these being categorised as low, medium and high genetic merit. Within the PIN and PLI data sets there was no significant differences among the three sub-groups in terms of CH 4 emission per kg feed intake or per kg energy corrected milk yield, or CH 4 energy (CH 4 -E) output as a proportion of energy intake. Linear regression using the whole PIN and PLI data sets also demonstrated that there was no significant relationship between either PIN or PLI, and CH 4 emission per kg of feed intake or CH 4 -E output as a proportion of energy intake. These results indicate that cow genetic merit (PIN or PLI) has little effect on enteric CH 4 emissions as a proportion of feed intake. Instead enteric CH 4 production may mainly relate to total feed intake and dietary nutrient composition.

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“…The effect of dietary treatments on methane emissions was presented by Garnsworthy et al (2011) and showed that when cows were fed on treatment HMD significantly (P<0.05) higher values were obtained for MERm (+5%, P=0.042) and MERmDM (+20%, P<0.001). A total of 58 milk fatty acids were identified, and 40 of them differed significantly (P<0.05) between C and HMD.…”

Section: Resultsmentioning

confidence: 99%

“…A dairy concentrate was also fed during milking (1.6 kg/d plus 0.16 kg/kg milk yield above 23 kg/d). Methane concentrations in exhaled air were measured at each milking and eructation data (peak area and frequency) were used to calculate individual daily means for methane emission rate during milking (MERm), as described by Garnsworthy et al (2011). Milk samples were collected on the last day of each experimental period and analysed for fatty acid profile by gas chromatography (GC).…”

Section: Methodsmentioning

confidence: 99%

Poster Presentations

2011

Advances in Animal Biosciences

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Introduction Scientific community is continuously searching new feed additives that could prevent digestive disturbances in ruminants as well as are safe to humans who will consume the animal products. The concept of immunity as a potential tool in the manipulation of ruminal fermentation has been previously cited (Berghman and Waghela, 2004). In this scenery, the objective of this trial was to evaluate the effects of two forms (liquid or powder) of polyclonal antibodies preparation (PAP) against specific rumen bacteria Streptococcus bovis, Fusobacterium necrophorum and Lactobacillus on rumen fermentation parameters in ruminally cannulated cows adapted or not to highly fermentable carbohydrates diets (HFC) after an acidosis challenge. Materials and methodsThe present study was carried out at College of Veterinary Medicine and Animal Science (FMVZ/USP), Brazil. Six ruminally fistulated cows were used in this trial. Experimental design was two Latin squares 3x3 in factorial arrangement of treatments 3x2 regarding two feed additives (PAP in powder form (PAPP) and PAP in liquid form (PAPL)) plus control group (CON) and two managements of diets adaptation resulting in six treatments. The first Latin square had a step-up diet adaptation: from D0 to D4 (100% of forage); D5 to D9 (30% of concentrates) and D10 to D14 (60% of concentrates). The second Latin square received 100% of forage from D0 to D14. On D15 and D16, all animals received 80% of concentrates in diet. For pH and total concentration of short-chain fatty acids (tSCFA) analysis, rumen fluid was sampled at 0 and every 3 h postfeeding totaling 36 h (D15 and D16) of challenge with a diet of 80% of concentrates. Short-chain fatty acids included acetate, propionate and butyrate. Data were analyzed by MIXED procedure with a significance level of 0.05. In the model, the effects of treatments and time were considered fixed factors. Period and animal nested in square were considered random factors.Results An interaction between adaptation and time was observed for ruminal pH (P < 0.0001). The adapted group had lower pH values than non-adapted group until 12 h after the start of challenge (6.18 vs 6.55, respectively). For tSCFA concentration, an interaction between adaptation and time was also observed (P < 0.0001). From 0 to 9 h (109.38 vs 82.26 mM) and at 36 h (121.11 vs 107.62 mM) after the start of challenge, the adapted group had greater values compared to nonadapted group. At 24h and 27h, the non-adapted group had greater values compared to the adapted group (114.75 vs 127.4 mM). Polyclonal antibodies preparation, in both forms, did not affect these variables. Conclusions From these data, it is possible to conclude that step-up adaptation did not prevent the drop of rumen pH in conditions of great availability of highly fermentable carbohydrates. High total SCFA concentration is expected in adapted group due to the adaptation of rumen microbial population to the substrate, increasing their fermentative capacity. Both forms of PAP (liquid or powder) did not affec...

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Variation among individual dairy cows in methane measurements made on farm during milking

Cited by 100 publications

References 18 publications

Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins

Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins

Is there a relationship between genetic merit and enteric methane emission rate of lactating Holstein-Friesian dairy cows?

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