Claim · model-written summary
K produced a positive NDVI response of 15%.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
t0“Prediction of Maize Yields from In-Season GreenSeeker Normalized Difference Vegetation Index and Dry Biomass as Influenced by Different Nutrient Combinations”
e0“Positive NDVI responses of 56%, 14%, 15%, and 15% were recorded with N, P, K, and combined Ca+Mg+Zn+B+S, respectively.”
Title
Hillary M. O. Otieno; George N. Chemining’wa; Shamie Zingore Journal of Agricultural Science 2020. doi:10.5539/jas.v13n1p165
Other claims from this paper (19)
- Intervention effect P+K gave the lowest NDVI reading.
- Intervention effect N+P+K+Ca+Mg+Zn+B+S gave the highest NDVI reading.
- Intervention effect P+K gave the lowest dry biomass.
- Intervention effect N+P+K+Ca+Mg+Zn+B+S gave the highest dry biomass.
- Intervention effect P+K gave the lowest grain yields.
- Intervention effect N+P+K+Ca+Mg+Zn+B+S gave the highest grain yields.
- Intervention effect N produced a positive NDVI response of 56%.
- Intervention effect P produced a positive NDVI response of 14%.
- Intervention effect combined Ca+Mg+Zn+B+S produced a positive NDVI response of 15%.
- Intervention effect N produced a positive biomass response of 54%.
- Intervention effect P produced a positive biomass response of 20%.
- Intervention effect K produced a positive biomass response of 8%.
- Intervention effect Ca+Mg+Zn+B+S produced a positive biomass response of 18%.
- Method / resource GreenSeeker NDVI reading predicted grain yield in Embu with R2 0.23-0.53.
- Method / resource aboveground dry biomass predicted grain yield in Embu with R2 0.30-0.61.
- Method / resource GreenSeeker NDVI reading predicted grain yield in Kirinyaga with R2 0.31-0.64.
- Method / resource aboveground dry biomass predicted grain yield in Kirinyaga with R2 0.30-0.50.
- Method / resource Pooled data increased NDVI prediction strength to 67%.
- Method / resource Pooled data increased biomass prediction strength to 58%.