Claim · model-written summary
Root surface area was the most significant predictor of crop yield.
- Taxon
- Rice/Soybean
Glycine max
Oryza sativat0 - Organ / stage
- roote0
- Outcome
- crop yielde0
- Qualifier
- most significant predictore0
Not reportedMaterialGeneCompoundInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice/Soybean”
e0“root surface area was the most significant predictor of crop yield”
Title
Hongcheng Zhang; Shilin Li; Shiwen Wang; et al. Food and Energy Security 2025. doi:10.1002/fes3.70111
Other claims from this paper (13)
- Intervention effect Silicon increased total intercropping-system yield by 15% versus no silicon.
- Intervention effect Silicon increased total monoculture-system yield by 13% versus no silicon.
- Intervention effect Intercropping increased total yield by 5% versus monoculture without silicon.
- Intervention effect Intercropping increased total yield by 7% versus monoculture with silicon.
- Observation Intercropping had a land equivalent ratio above one at both silicon levels.
- Intervention effect Intercropping increased soybean yield by 24% averaged across silicon levels.
- Intervention effect Intercropping decreased rice yield by 7% averaged across silicon levels.
- Association Crop yield was positively correlated with root morphological traits.
- Observation Intercropped soybean had a competitive advantage over rice.
- Intervention effect Intercropping promoted soybean root morphological traits.
- Intervention effect Intercropping inhibited rice root morphological traits.
- Intervention effect Silicon significantly promoted rice root morphology and distribution under intercropping.
- Intervention effect Silicon significantly promoted soybean root morphology and distribution under intercropping.