Claim · model-written summary
Additional irrigation raised modeled barley yield by 0.1.
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Hordeum vulgareNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
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Verbatim
e0“0.1/0.3 t/ha (barley)”
e1“With additional irrigation and fertilization, yields can be increased”
Title
Model-Based Yield Gap Assessment in Nepal’s Diverse Agricultural Landscape
Amit Kumar Basukala; Livia Rasche Land 2022. doi:10.3390/land11081355
Other claims from this paper (17)
- Method / resource EPIC simulated national yields in the range of reported yields.
- Method / resource EPIC district yield errors were large because climate and soil input resolution was inadequate.
- Observation wheat yield gap in Nepal was 3.0 t/ha.
- Observation rice yield gap in Nepal was 2.7 t/ha.
- Observation maize yield gap in Nepal was 2.9 t/ha.
- Observation barley yield gap in Nepal was 0.4 t/ha.
- Observation millet yield gap in Nepal was 0.5 t/ha.
- Intervention effect Additional irrigation raised modeled wheat yield by 0.1.
- Intervention effect Additional irrigation raised modeled rice yield by 0.4.
- Intervention effect Additional irrigation raised modeled maize yield by 1.6.
- Intervention effect Additional irrigation raised modeled millet yield by 0.1.
- Intervention effect Additional fertilization raised modeled wheat yield by 2.3 t/ha.
- Intervention effect Additional fertilization raised modeled rice yield by 1.3 t/ha.
- Intervention effect Additional fertilization raised modeled maize yield by 1.9 t/ha.
- Intervention effect Additional fertilization raised modeled barley yield by 0.3 t/ha.
- Intervention effect Additional fertilization raised modeled millet yield by 0.4 t/ha.
- Recommendation The authors prioritize affordable and reliable fertilizer access to close Nepalese yield gaps.