Data describing cattle performance and feed characteristics to calculate enteric methane emissions in smallholder livestock systems in Bomet County, Kenya

Ndung’u, Phyllis; Kirui, Peter; Takahashi, Taro; Toit, Lindeque du; Merbold, Lutz; Goopy, John P.

doi:10.1016/j.dib.2021.107673

Cited by 8 publications

(5 citation statements)

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“…Diet composition and feed digestibility (Figure 1K) are likely the most important activity data for Tier 2 enteric CH 4 EFs because feed digestibility affects several other variables for both enteric CH 4 and manure emissions (see Section 4.2; Figure 1). Diet composition and feed digestibility for livestock systems in SSA are highly uncertain because feed sources are diverse, and exhibit strong seasonal and geographic variability, especially for mixed crop-livestock systems (2,20,21,75). Further studies characterizing diet composition are needed for representative livestock systems and could conducted using relatively low cost, out-of-the-box survey tools such as the Rural Household Multi-Indicator Survey (RHoMIS, 76).…”

Section: Discussion and Future Directions Enteric Ch 4 Emissions-pros...mentioning

confidence: 99%

Research Progress on Greenhouse Gas Emissions From Livestock in Sub-Saharan Africa Falls Short of National Inventory Ambitions

et al. 2022

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Livestock are an important source of livelihoods in agricultural systems in sub-Saharan Africa (SSA), while also being the largest source of national greenhouse gas (GHG) emissions in most African countries. As a consequence, there is a critical need for data on livestock GHG sources and sinks to develop national inventories, as well as conduct baseline measurements and intervention testing to mitigate GHG emissions and meet ambitious national climate goals. Our objective was to review studies on GHG emissions from livestock systems in SSA, as well as soil carbon storage in livestock-dominated systems (i.e., grasslands and rangelands), to evaluate best current data and suggest future research priorities. To this end, we compiled studies from SSA that determined emission factors (EFs) for enteric methane and manure emissions, along with studies on soil organic carbon (SOC) stocks in SSA. We found that there has been limited research on livestock GHG emissions and SOC relative to national ambitions for climate change mitigation in SSA. Enteric methane emission factors (EFs) in low productivity cattle systems may be lower than IPCC Tier 1 default EFs, whereas small ruminants (i.e. sheep and goats) had higher EFs compared to IPCC Tier 1 EFs. Manure EFs were equal to or lower than IPCC Tier 1 EFs for deposited manure (while grazing), manure applied as fertilizer, and manure management. SOC stocks for grasslands and rangelands in SSA show broad agreement with IPCC estimates, but there was a strong geographic bias and many studies did not report soil type, bulk density, or SOC stocks at >30 cm depth. In general, the largest data gaps included information for manure (quantity, quality, management), small ruminants, agropastoral/pastoralist systems, and in general from West Africa. Future research should focus on filling major data gaps on locally appropriate mitigation interventions and improving livestock activity data for developing Tier 2 GHG inventories in SSA. At the science-policy interface, all parties would benefit from enhanced coordination within the research community and between researchers and African governments to improve Tier 2 inventories and harmonize measurement for mitigation in livestock systems in SSA.

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Section: Discussion and Future Directions Enteric Ch 4 Emissions-pros...mentioning

confidence: 99%

Research Progress on Greenhouse Gas Emissions From Livestock in Sub-Saharan Africa Falls Short of National Inventory Ambitions

et al. 2022

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“…Data used in this study were sourced from previously published studies conducted in Nandi and Bomet counties in western Kenya (Ndung'u et al 2019(Ndung'u et al , 2021. Thus, the current study investigated 257 smallholder farms with a total herd of 2270 cattle [992 females (>2 years), 103 males (>2 years), 271 heifers (1-2 years), 104 young males (1-2 years) and 800 calves (<1 year)].…”

Section: Methodological Approachmentioning

confidence: 99%

“…Recently, several field studies have been undertaken in western Kenya, which collected detailed on-farm information on seasonal liveweight change, milk production, and feed composition and quality, and used this information to create spatially explicit EFs for different production systems in the region (Goopy et al 2018a(Goopy et al , 2021Ndung'u et al 2019Ndung'u et al , 2021. More studies using the same approach are underway by a team led by the International Livestock Research Institute for Tanzania, Uganda, and Ethiopia, so that more detailed information on CH 4 emissions from the livestock sector in East Africa will become available soon (Merbold et al 2021).…”

Section: Open Accessmentioning

confidence: 99%

A simplified approach for producing Tier 2 enteric-methane emission factors based on East African smallholder farm data

et al. 2022

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“…Tier 3 is used nationally to create an emission inventory [12,37,39]. Also, the Life Cycle Assessment (LCA) framework is used to evaluate emission intensity and quantification through the production life cycle [40][41][42]. However, these techniques and approaches have uncertainties and can lead to conflicting forecasts [35,41].…”

Section: Emission Quantification Techniques and Estimation Approachesmentioning

confidence: 99%

Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants

Kimei,

Nyambo,

Mduma

et al. 2024

Sustainability

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Uncertainty quantification and sensitivity analysis are essential for improving the modeling and estimation of greenhouse gas emissions in livestock farming to evaluate and reduce the impact of uncertainty in input parameters to model output. The present study is a comprehensive review of the sources of uncertainty and techniques used in uncertainty analysis, quantification, and sensitivity analysis. The search process involved rigorous selection criteria and articles retrieved from the Science Direct, Google Scholar, and Scopus databases and exported to RAYYAN for further screening. This review found that identifying the sources of uncertainty, implementing quantifying uncertainty, and analyzing sensitivity are of utmost importance in accurately estimating greenhouse gas emissions. This study proposes the development of an EcoPrecision framework for enhanced precision livestock farming, and estimation of emissions, to address the uncertainties in greenhouse gas emissions and climate change mitigation.

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Data describing cattle performance and feed characteristics to calculate enteric methane emissions in smallholder livestock systems in Bomet County, Kenya

Cited by 8 publications

References 5 publications

Research Progress on Greenhouse Gas Emissions From Livestock in Sub-Saharan Africa Falls Short of National Inventory Ambitions

Research Progress on Greenhouse Gas Emissions From Livestock in Sub-Saharan Africa Falls Short of National Inventory Ambitions

A simplified approach for producing Tier 2 enteric-methane emission factors based on East African smallholder farm data

Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants

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