View: List Claim type Research area Organism Taxon as written Decade Paper Recommendation author interpretation original result positive basis n/a Claim · model-written summary
The authors recommend region-specific fertilizer rates based on spatial and temporal soil nutrient variation.
confirm the optimal fertilizer level e0 Verbatim
e0 “different ecological regions should follow the spatial and temporal variability of soil available nutrient in cotton field at flower and boll stage to confirm the optimal fertilizer level ”
✓ located verbatim in the source · abstract, characters 2302–2489 Other claims from this paper (15) Observation Soil alkali-hydrolyzable nitrogen under N0 decreased then increased during growth. Observation In other nitrogen treatments, soil alkali-hydrolyzable nitrogen fell, rose after topdressing, fell again, then rose after boll opening. Observation Soil available phosphorus fell and then rose at both locations. Observation Soil available potassium fell and then rose at both locations. Observation Available soil nutrients decreased with soil depth. Observation In Nanjing fertilized plots, soil alkali-hydrolyzable nitrogen decreased farther from cotton plants. Observation In Nanjing fertilized plots, soil available phosphorus decreased farther from cotton plants. Observation Under N0, soil alkali-hydrolyzable nitrogen and phosphorus had no significant horizontal variation. Observation Soil alkali-hydrolyzable nitrogen varied more across space and time in Nanjing than Anyang. Observation Soil available phosphorus varied more across space and time in Anyang than Nanjing. Observation Soil available potassium decreased farther from cotton plants in Nanjing 0–60 cm layers and Anyang 20–60 cm layers. Observation Soil available potassium increased farther from cotton plants in Anyang 0–20 cm layers. Intervention effect At 360 kg ha-1 in Anyang, cotton yield components were relatively optimal and yield maximal. Intervention effect At 240 kg ha-1 in Nanjing, cotton yield was maximal. Intervention effect At the stated regional nitrogen levels, cotton fiber length and strength were better. Method / resource author interpretation original result positive measured Claim · model-written summary
The approach generated spatial rice yield maps capturing within-field variability .
spatially explicit rice yield maps e0 within-field variability e0 Verbatim
e0 “the proposed approach provides accurate, spatially explicit rice yield maps that capture within-field variability ”
✓ located verbatim in the source · abstract, characters 1371–1484 t0 “Rice Yield Prediction ”
✓ located verbatim in the source · title, characters 0–21 Other claims from this paper (10) Association observed original result positive measured Claim · model-written summary
Increasing soil organic carbon was associated with larger and more stable yield s.
soil organic carbon e0 larger, more stable yields e0 Verbatim
e0 “increasing soil organic carbon resulted in larger, more stable yield s ”
✓ located verbatim in the source · abstract, characters 1685–1754 t0 “Effects of Fertilizers and Manures on Temporal Yield Variability of Winter Rye ”
✓ located verbatim in the source · title, characters 0–78 Other claims from this paper (4) Observation observed original result positive measured Claim · model-written summary
Yield was high in the northern study area in some years.
Northern region of the study area e0 Verbatim
e0 “The yield values in the Northern region of the study area were high in some years ”
✓ located verbatim in the source · abstract, characters 1268–1349 t0 “Spatial and temporal variability of crop yield and some Rhodic Hapludox properties under no-tillage ”
✓ located verbatim in the source · title, characters 0–99 Other claims from this paper (2) Method / resource author interpretation original result positive measured Claim · model-written summary
Temporal proximal sensing can assess plant water status, primary metabolism, yield and berry secondary metabolism.
assessing plant water status, primary metabolism, yield and berry secondary metabolism e0 temporal proximal sensing methods e0 Verbatim
e0 “Nonetheless, our study showed that it is possible to apply temporal proximal sensing methods when assessing plant water status, primary metabolism, yield and berry secondary metabolism ”
✓ located verbatim in the source · abstract, characters 1885–2069 t0 “vineyard soil and canopy vegetation ”
✓ located verbatim in the source · title, characters 20–55 Other claims from this paper (13) Observation observed original result positive measured Claim · model-written summary
Soybean yield rose about twofold from 1930 to 1990.
Verbatim
e0 “From 1930 to 1990, yield of all crops increased, ranging from about twofold in soybean [ Glycine max (L.) Merr.], oat ( Avena sativa L.), and barley ( Hordeum vulgare L.) to about sixfold in maize ( Zea mays L.). ”
✓ located verbatim in the source · abstract, characters 946–1158 e4 “Temporal variability in average crop yield in the USA was much smaller than typical spatial variability values reported by others for soil parameters. ”
✓ located verbatim in the source · abstract, characters 1822–1972 Other claims from this paper (9) Observation observed original result positive measured Claim · model-written summary
Corn yield stability improved in recent years.
earlier periods e0 Verbatim
e0 “corn yield s demonstrated greater variability in earlier periods, stability has improved in recent years ”
✓ located verbatim in the source · abstract, characters 1213–1316 t0 “corn ”
✓ located verbatim in the source · title, characters 21–25 Other claims from this paper (6) Method / resource observed original result positive measured Claim · model-written summary
The heteroskedastic gamma regression model outperformed the other models for explaining sugarcane yield variability in commercial fields, with R2 of 0.89.
explaining yield variability e0 other methods e0 commercial sugarcane fields e0 Verbatim
e0 “The results indicate that the heteroskedastic gamma regression model outperformed the other methods in explaining yield variability , particularly in commercial sugarcane fields, achieving a Coefficient Determination (R2) of 0.89. ”
✓ located verbatim in the source · abstract, characters 921–1150 Method / resource observed original result positive measured Claim · model-written summary
With 20% fine tuning, cross-year prediction improved to R² 0.83.
20% fine‐tuning e0 Not reported Comparator
Verbatim
e0 “DTL improved prediction to an R 2 of 0.83 with 20% fine‐tuning ”
✓ located verbatim in the source · abstract, characters 1197–1259 t0 “winter wheat across temporal and spatial variability ”
✓ located verbatim in the source · title, characters 70–122 Other claims from this paper (6) Observation observed original result positive measured Claim · model-written summary
The sugarcane yield gap fell from 58 to 42%.
Verbatim
e0 “yield gap consequently decreased from 58 to 42% ”
✓ located verbatim in the source · abstract, characters 640–687 t0 “sugarcane ”
✓ located verbatim in the source · title, characters 31–40 Other claims from this paper (5) Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.
Gossypium hirsutume0
Oryza sativa
Secale cereale
Glycine max
Zea mays subsp. mays
Triticum aestivum