Data · dataset · 2026
Feed quality, digestibility, and methane emission trade-offs among conventional and unconventional fodder resources in smallholder dairy systems of Rwanda.
Listed in Teesside University Research Data Repository
Smallholder dairy production in Rwanda is constrained by seasonal shortages of nutritionally adequate fodder, affecting production and potentially increasing enteric methane emissions.
Description
This study evaluated feed quality, digestibility, intake potential, energy supply, and methane emission trade-offs among conventional and unconventional fodder resources available during the dry season across two agro-ecological zones of Rwanda.
Feed quality, digestibility, intake, energy, and methane-related parameters were estimated using simulation models, while multivariate and correlation analyses assessed relationships among nutritional attributes and methane production. Significant differences were observed among fodder classes in nutritional composition, digestibility, energy value, and predicted methane production (P < 0.05). Crude protein ranged from 5–26.5%, NDF from 42–69%, metabolizable energy from 4.68–13 MJ/kg DM, and predicted methane production from 12.8–32 g/day.
Read the rest (1 more)
Legumes showed superior feed quality, with higher CP, mineral content, digestibility, and energy value and lower NDF and methane production than grasses, shrubs, and crop residues. Methane production was positively correlated with NDF (r = 0.70; P < 0.001) and negatively correlated with non-fiber carbohydrates (r = −0.77), net energy for lactation (r = −0.56), and metabolizable energy (r = −0.47; P ≤ 0.001). Overall, high-quality legume fodders demonstrated a favorable trade-off between nutrient supply, digestibility, and methane emission potential, supporting their integration into sustainable smallholder dairy feeding systems.
Links
Where it is published
- DOI doi.org/10.17632/s7xs7wrnzx.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Social Science
- Inferred from text
- Simulation 75%
Related
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/s7xs7wrnzx.1 | 7 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |