Mitigation of enteric methane emissions through pasture management in integrated crop-livestock systems: Trade-offs between animal performance and environmental impacts

Filho, William de Souza; Nunes, Pedro Arthur de Albuquerque; Barro, Raquel Santiago; Kunrath, Taise Robinson; Almeida, Gisele Luziane de; Genro, T. C. M.; Bayer, Cimélio; Carvalho, Paulo César de Faccio

doi:10.1016/j.jclepro.2018.12.245

Cited by 67 publications

(42 citation statements)

References 37 publications

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“…Previous authors observed variations in dung patch area ranging from 0.05 to 0.09 m 2 [14,47,49]. Furthermore, a variation in individual fecal production ranging from 1.86 up to 2.88 kg per steer per day in mixed black oat and Italian ryegrass pastures managed at different sward heights was also reported [26]. It was therefore expected that dung patch deposition would follow the same pattern in our study, which was not the case.…”

Section: Dung Deposition At Different Grazing Intensitiessupporting

confidence: 52%

“…It is clear, however, of the existence of an increasing trend in dung deposition toward the paddock managed with a sward height of 0.2 m, which probably resulted from a combination of stocking rate and greater individual dry matter (DM) intake in moderate grazing intensity. Previous studies in the same experimental protocol have shown that individual DM intake is greater at moderate to light grazing intensities (sward heights of 0.2 to 0.4 m) compared with a heavy grazing intensity (sward height of 0.1 m), which impaired individual animal performance in terms of daily gains (kg of live weight day −1 ) in the latter case [26]. Contrary to our results, however, those authors found a linear increase in total fecal production (kg ha −1 ) from the lightest to the heaviest grazing intensity with no statistical difference between sward heights of 0.1 and 0.2 m. Different outcomes could be explained by different sampling methodologies used in the studies.…”

Section: Dung Deposition At Different Grazing Intensitiesmentioning

confidence: 94%

“…Fecal production is highly correlated to individual consumption [48], which in turn is correlated to animal performance [26]. Previous authors observed variations in dung patch area ranging from 0.05 to 0.09 m 2 [14,47,49].…”

Section: Dung Deposition At Different Grazing Intensitiesmentioning

confidence: 99%

“…It was therefore expected that dung patch deposition would follow the same pattern in our study, which was not the case. Our field-level weighing methodology, however, did not take into account eventual differences in DM content and other quality aspects of dung that were shown to be different under different grazing intensities due to different sward structures and DM intake rates by the animals [26] and this could have buffered potential differences in our experiment.…”

Section: Dung Deposition At Different Grazing Intensitiesmentioning

confidence: 99%

“…Recognizing distinct patterns in these systems when submitted to different grazing intensities would allow the prediction of cumulative effects over time and make better use of management strategies, such as livestock attractants or grazing intensity itself, to improve system efficiency. Moreover, it has been shown that ingestive behavior is affected by forage availability (i.e., satiated animals spend more time resting and ruminating while unsatiated animals need to walk more to fulfill their daily requirements) [25] and that greater dry matter intake results in greater individual fecal production and performance [26]. Thus, it is expected that dung deposition may present different distribution patterns over a gradient of grazing intensities.…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Distribution of Cattle Dung Patches in a Subtropical Soybean-Beef System under Different Grazing Intensities in Winter

et al. 2020

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Cattle dung distribution in pastoral ecosystems is uneven and affects nutrient availability to plants. Thus, identifying its spatiotemporal patterns is crucial to understanding the mechanisms underlying the system functioning. We aimed to characterize the spatiotemporal distribution of dung patches in mixed black oat (Avena strigosa Schreb.) and Italian ryegrass (Lolium multiflorum Lam.) pastures grazed at different intensities (sward heights of 0.1, 0.2, 0.3 and 0.4 m) in the winter stocking period of an integrated soybean-beef system in southern Brazil. All dung patches were located and georeferenced every 20 days. Dung distribution was analyzed using Thiessen polygons and semivariogram analysis. The spatial pattern of dung deposition was virtually similar over time but created distinct patterns in paddocks managed at different grazing intensities. Dung patch density was greater close to attraction points, resting and socialization areas regardless of grazing intensity. Lighter grazing intensities presented stronger spatial patterns with increased dung density in those areas, but those patterns weakened with increasing grazing intensity. Dung patches covered 0.4%, 0.9%, 1.1% and 1.5% of the area in paddocks managed at 0.4, 0.3, 0.2 and 0.1 m sward heights, respectively. Geostatistics proved useful for identifying spatial patterns in integrated crop-livestock systems and will potentially support further investigations.

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Section: Dung Deposition At Different Grazing Intensitiessupporting

confidence: 52%

Section: Dung Deposition At Different Grazing Intensitiesmentioning

confidence: 94%

Section: Dung Deposition At Different Grazing Intensitiesmentioning

confidence: 99%

Section: Dung Deposition At Different Grazing Intensitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Distribution of Cattle Dung Patches in a Subtropical Soybean-Beef System under Different Grazing Intensities in Winter

et al. 2020

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Potential of indigenous legume fodder tree and shrubs to animal feed and mitigation of methane emission in the semi‐humid condition of southern Ethiopia

2023

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The study was conducted to investigate the in vitro gas production characteristics and methane (CH4) emission potential of indigenous legume fodder trees and shrubs (ILFTS). The most predominant 11 ILFTS species were selected, and leaves and fruit/pod samples were collected, oven dried, and ground. The potential leaf biomass yield (PBY), dry matter (DM), ether extract, digestible crude protein, carbohydrate (CHO), acid detergent lignin, ash, total phenol, condensed tannin, gross energy, digestible energy, metabolizable energy (ME), gas production characteristics, CH4 emissions, organic matter digestibility (OMD), and short‐chain fatty acids (SCFA) were determined. ANOVA and independent t test were used to examine variation among species in plants nature and between fruits and pods within agroecosystems, respectively. Correlation analysis was used to determine relationships among parameters. The study indicated that only DM and CHO showed substantial variation in nutritional quality parameters among trees, shrubs, and fruit/pods in the lowlands. Fruits/pods and trees displayed significant differences in gas production characteristics in the lowlands, unlike shrubs, which had non‐substantial variations. Moreover, the PBY, CH4 emission, OMD, and ME of ILFTS revealed substantial variation (P < .05) with species and among trees, shrubs, and fruits/pods in both agroecosystems. Besides, CH4 production showed a positive significant correlation with gas volume and (b) substantiating the effect of rate and degree of fiber fermentation on CH4 emission. It was discovered that there was a positive significant correlation between the 6 and 24 h incubation period, (c) which substantiated the need for optimal microbial density and substrate for high rate constant gas production of b (c). In conclusion, ILFTS produce considerable biomass rich in nutrients but vary in the degradability of CHO with plant nature, species, and forage origin. This elicits differences in gas production characteristics and CH4 emission with in vitro fermentation, resulting in differences in the corresponding OMD, ME, and SCFA values.

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Real-Time Visualization of Methane Emission at Commercial Dairy Farms

Schokker

Mollenhorst

Seigers

et al. 2020

IFIP Advances in Information and Communication Technology

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The Dutch government has set an objective to reduce greenhouse gasses (GHG) emissions to 116 Mton CO2-equivalent in 2030. The agriculture sector aims for 11-23 Mton of GHG emission by 2050 and thus contributes to this objective. For this sector, the major contributor to the GHG emission in the Netherlands is the dairy sector. Before any mitigation strategies can be enrolled, some key facts need to be measured regarding the GHG emission on a farm. One of these key facts is the establishment of the baseline of GHG emission on a farm (and per cow). For this, we previously have built an infrastructure to measure and collect methane and carbon dioxide (near) real-time on a farm. The next challenges, addressed in the current study, were to (1) combine the private methane data, collected real-time through the infrastructure, with open source weather information, and (2) visualize both data streams for farmers, by developing an application that can be viewed on a web or mobile phone platform.

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Mitigation of enteric methane emissions through pasture management in integrated crop-livestock systems: Trade-offs between animal performance and environmental impacts

Cited by 67 publications

References 37 publications

Spatiotemporal Distribution of Cattle Dung Patches in a Subtropical Soybean-Beef System under Different Grazing Intensities in Winter

Spatiotemporal Distribution of Cattle Dung Patches in a Subtropical Soybean-Beef System under Different Grazing Intensities in Winter

Potential of indigenous legume fodder tree and shrubs to animal feed and mitigation of methane emission in the semi‐humid condition of southern Ethiopia

Real-Time Visualization of Methane Emission at Commercial Dairy Farms

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