Claim · model-written summary
P+K gave the lowest NDVI reading.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingValueQualifier
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“The results showed consistently lowest and highest NDVI reading, dry biomass, and grain yields due to P+K and N+P+K+Ca+Mg+Zn+B+S treatments, 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 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 K produced a positive NDVI response of 15%.
- 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%.