Effect of concentrate feeding level on methane emissions, production performance and rumen fermentation of Jersey cows grazing ryegrass pasture during spring

Wyngaard, J.D.V. van; Meeske, R.; Erasmus, L.J.

doi:10.1016/j.anifeedsci.2018.04.025

Cited by 26 publications

(14 citation statements)

References 39 publications

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“…When comparing our enteric CH 4 results to previous studies utilizing predominantly ryegrass pasture (Lovett et al, 2005;Jiao et al, 2014;Muñoz et al, 2015;van Wyngaard et al, 2018b), we found discrepancies in the response of enteric CH 4 emissions toward concentrate supplementation. This could possibly be ascribed to different experimental designs, pasture management in terms of pasture quality and DHA, and methods on determining DMI and CH 4 emissions.…”

Section: Itemcontrasting

confidence: 63%

“…Both of these authors also reported increased CH 4 production with increasing concentrate level up to 6 and 5 kg of concentrate/d, respectively. Other grazing studies reported much lower average enteric CH 4 emissions with no treatment response, being 277 and 294 g/d for Jiao et al (2014) andvan Wyngaard et al (2018b), respectively. Both of these studies had a maximum concentrate level of 8 kg/d.…”

Section: Itemmentioning

confidence: 88%

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Effect of concentrate level on enteric methane emissions, production performance, and rumen fermentation of Jersey cows grazing kikuyu-dominant pasture during summer

Wyngaard

Meeske²,

Erasmus

2018

Journal of Dairy Science

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The effect of concentrate feeding level on enteric CH 4 emissions from cows grazing medium quality summer pasture is yet to be investigated. Sixty multiparous Jersey cows (9 rumen-cannulated) were used in a randomized complete block design study (with the cannulated cows in a 3 × 3 Latin square design) to investigate the effect of concentrate feeding level (0, 4, and 8 kg/ cow per day; as-fed basis) on enteric CH 4 emissions, production performance, and rumen fermentation of dairy cows grazing summer pasture (17 cows plus 3 cannulated cows per treatment). Enteric CH 4 emissions were measured from 11 cows per treatment group during one 7-d measurement period using the sulfur hexafluoride tracer gas technique. Pasture dry matter intake (DMI) was determined parallel with the CH 4 measurement period using TiO 2 as an external marker, and milk yield, milk composition, cow condition, and pasture pre-and postgrazing measurements were also recorded. Daily total DMI (11.2 to 15.6 kg/cow), milk yield (9.1 to 18.2 kg/cow), energy-corrected milk (ECM; 11.2 to 21.6 kg/cow), and milk lactose content (44.1 to 46.7 g/kg) increased linearly, whereas pasture DMI (11.2 to 8.4 kg/cow) decreased linearly with increasing concentrate feeding level. Daily CH 4 production (323 to 378 g/d) increased linearly due to the increase in total DMI, whereas CH 4 yield (29.1 to 25.1 g/kg of DMI) and CH 4 intensity (35.5 to 21.1 g/kg of milk yield; and 28.8 to 17.6 g/kg of ECM) decreased linearly with increasing concentrate feeding level. Diurnal ruminal pH (6.45 to 6.32) and in sacco DM and neutral detergent fiber disappearance decreased linearly. Acetic and propionic acid were unaffected by treatment, whereas butyric acid (5.21 to 6.14 mM) increased linearly and quadratically with increasing concentrate feeding level. It was concluded that a high concentrate feeding level not only increases animal efficiency but is moreover a viable CH 4 mitigation option for dairy cows grazing kikuyu-dominant pasture in late summer when pasture is inherently fibrous.

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Section: Itemcontrasting

confidence: 63%

Section: Itemmentioning

confidence: 88%

Effect of concentrate level on enteric methane emissions, production performance, and rumen fermentation of Jersey cows grazing kikuyu-dominant pasture during summer

Wyngaard

Meeske²,

Erasmus

2018

Journal of Dairy Science

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“…The AGLC system shows a high emission of CH 4 biogenic compared to other systems. Several studies tried to understand how to reduce the impact generated by enteric fermentations from ruminants; [55] showed that concentrate supplementation on great quality pasture-only diets have the possibility to decrease CH 4 emissions. Jiao et al (2014) [48] observed a reduction in CH 4 enteric emissions in dairy cows fed with an increased amount of concentrate feed in the diet, whereas [56] suggested several feeding strategies to minimize the emissions of enteric methane, such as an increase of the voluntary feed intake on permanent pasture.…”

Section: Carbon Footprint Without Soil Carbon Sequestrationmentioning

confidence: 99%

Effect of Feed Concentrate Intake on the Environmental Impact of Dairy Cows in an Alpine Mountain Region Including Soil Carbon Sequestration and Effect on Biodiversity

et al. 2020

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Several studies on the environmental impacts of livestock enterprises are based on the application of life cycle assessments (LCA). In Alpine regions, soil carbon sequestration can play an important role in reducing environmental impacts. However, there is no official methodology to calculate this possible reduction. Biodiversity plays an important role in the Alpine environment and is affected by human activities, such as cattle farming. Our aim was to estimate the carbon footprint (CF) of four different dairy production systems (different in breeds and feeding intensity) by using the LCA approach. The present study included 44 dairy Alpine farms located in the autonomous province of Bolzano in northern Italy. Half of the farms (n = 22) kept Alpine Grey and the other half (n = 22) Brown Swiss cattle. Within breeds, the farms were divided by the amount of concentrated feed per cow and day into high concentrate (HC) and low concentrate (LC). This resulted in 11 Alpine Grey low concentrate (AGLC) farms feeding an average amount of 3.0 kg concentrated feed/cow/day and 11 Alpine Grey high concentrate (AGHC) farms with an average amount of 6.3 kg concentrated feed/cow/day. Eleven farms kept Brown Swiss cows with an average amount of 3.7 kg concentrated feed/cow/day (BSLC) and another 11 farms feeding on average 7.6 kg concentrated feed/cow/day (BSHC). CF for the four systems was estimated using the LCA approach. The functional unit was 1 kg of fat and protein corrected milk (FPCM). Furthermore, two methodologies have been applied to estimate soil carbon sequestration and effect on biodiversity. The system with the lowest environmental impact in terms of CF was BSHC (1.14 kg CO2-eq/kg of FPCM), while the most impactful system was the AGLC group (1.55 kg CO2-eq/kg of FPCM). Including the CF reduction due to soil carbon sequestered from grassland, it decreased differently for the two applied methods. For all four systems, the main factor for CF was enteric emission, while the main pollutant was biogenic CH4. Conversely, AGLC had the lowest impact when the damage to biodiversity was considered (damage score = 0.41/kg of FPCM, damage to ecosystem diversity = 1.78 E-07 species*yr/kg FPCM). In comparison, BSHC had the greatest impact in terms of damage to biodiversity (damage score = 0.56/kg of FPCM, damage to ecosystem diversity = 2.49 E-07 species*yr/kg FPCM). This study indicates the importance of including soil carbon sequestration from grasslands and effects on biodiversity when calculating the environmental performance of dairy farms.

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“…Several other pasture-based studies made use of fecal excretion of indigestible markers, such as indigestible NDF (Marquez et al, 2017), chromic oxide and titanium dioxide (van Wyngaard et al, 2018), fecal CP, or plant wax markers, such as n-alkanes (Savian et al, 2018). Although these methods yield individual and more accurate DMI data compared with herbage mass prediction equations, labor costs are drastically higher due to dosing animals with each marker, performing individual fecal collections, and analyzing samples for the respective markers.…”

Section: Determination Of As-fed Intakesmentioning

confidence: 99%

Invited review: Determination of large-scale individual dry matter intake phenotypes in dairy cattle

Seymour

Cánovas

Baes

et al. 2019

Journal of Dairy Science

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Feed efficiency has been widely studied in many areas of dairy science and is currently seeing renewed interest in the field of breeding and genetics. A critical part of determining how efficiently an animal utilizes feed is accurately measuring individual dry matter (DM) intake. Currently, multiple methods are used to measure feed intake or determine the DM content of that feed, resulting in different levels of accuracy of measurement. Furthermore, the scale at which data need to be collected for use in genetic analyses makes some methodologies impractical. This systematic review aims to provide an overview of the current methodologies used to measure both feed intake in ruminants and DM content of feedstuffs, current methods to predict individual DM intake, and applications of large-scale intake measurements. Overall, advances in milk spectral data analysis present a promising method of estimating individual DM intake on a herd scale with further validation of prediction models. Although measurements of individual feed intake rely on the same underlying principle, the methods selected are largely dictated by the costs of capital, labor, and necessary analyses. Finally, DM methodologies were synthesized into a comprehensive protocol for use in a variety of feedstuffs.

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Effect of concentrate feeding level on methane emissions, production performance and rumen fermentation of Jersey cows grazing ryegrass pasture during spring

Cited by 26 publications

References 39 publications

Effect of concentrate level on enteric methane emissions, production performance, and rumen fermentation of Jersey cows grazing kikuyu-dominant pasture during summer

Effect of concentrate level on enteric methane emissions, production performance, and rumen fermentation of Jersey cows grazing kikuyu-dominant pasture during summer

Effect of Feed Concentrate Intake on the Environmental Impact of Dairy Cows in an Alpine Mountain Region Including Soil Carbon Sequestration and Effect on Biodiversity

Invited review: Determination of large-scale individual dry matter intake phenotypes in dairy cattle

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