View: List Claim type Research area Organism Taxon as written Decade Paper Mechanism observed original result measured Claim · model-written summary
Yield , rather than temporal yield variability , drove stability.
Qualifierdriven by yield as opposed to temporal variability of yield e0 Verbatim
e0 “Stability was driven by yield as opposed to temporal variability of yield . ”
✓ located verbatim in the source · abstract, characters 590–664 t0 “bioenergy crops ”
✓ located verbatim in the source · title, characters 13–28 Other claims from this paper (5) Association observed original result significant (as stated) simulated Claim · model-written summary
Temporal variability across sowing times significantly affected soybean yield .
Treatmentdifferent sowing times e0 Not reported Direction
Verbatim
e0 “temporal variability associated with different sowing times significantly impacts soybean yield . ”
✓ located verbatim in the source · abstract, characters 1077–1173 Other claims from this paper (2) Association observed original result measured Claim · model-written summary
High facies patchiness reduced yield or increased its temporal variability and reduced predictability.
SettingHigh facies patchiness e0 Verbatim
e0 “High facies patchiness either reduces yield or increases its temporal variability and reduces predictability. ”
✓ located verbatim in the source · abstract, characters 1535–1644 e1 “grain crops ”
✓ located verbatim in the source · abstract, characters 13–24 Other claims from this paper (6) Observation observed original result measured Claim · model-written summary
Wheat yield gaps showed temporal variability of 9 to 18%.
Outcometemporal variability e0 Verbatim
e0 “High regional differences in wheat yield gaps were observed, with values ranging from 1.64 t/ha in Casablanca Settat to 4.12 t/ha in Marrakech Safi, and temporal variability ranging from 9 to 18%. ”
✓ located verbatim in the source · abstract, characters 1163–1359 Other claims from this paper (7) Observation observed original result positive measured Claim · model-written summary
CaNPK and NPK without manure gave high yield and low variability .
TreatmentCaNPK and NPK, without additional organic manure e0 Outcomehigh yield and low temporal yield variability e0 Verbatim
e0 “Winter rye given CaNPK and NPK, without additional organic manure demonstrated high yield and low temporal yield variability . ”
✓ located verbatim in the source · abstract, characters 1407–1532 Other claims from this paper (4) Intervention effect observed original result positive measured Claim · model-written summary
Manure reduced rye yield variability under Ca and CaPK.
Treatmentadditional manure e0 Outcometemporal yield variability of rye e0 QualifierCa and CaPK (without mineral N) e0 Not reported Comparator
Verbatim
e0 “additional manure in ‘sub-optimal’ mineral fertilizer treatments, such as Ca and CaPK (without mineral N), reduced the temporal yield variability of rye ”
✓ located verbatim in the source · abstract, characters 1069–1221 Other claims from this paper (4) Method / resource author interpretation original result positive measured Claim · model-written summary
Multifractal methods characterized spatial and temporal leaf area variation and its multiscale yield relation.
Outcomespatial and temporal variability of maize leaf area and multiscale relationship between leaf area and yield e0 Not reported Comparator Value
Verbatim
e0 “Multifractal theory can effectively characterize spatial and temporal variability of maize leaf area and multiscale relationship between leaf area and yield ”
✓ located verbatim in the source · abstract, characters 734–890 Other claims from this paper (5) Method / resource observed original result positive measured Claim · model-written summary
NDVI K-means delineated sunflower subfield yield variability early.
Outcomesubfield crop spatial and temporal yield variability e0 Not reported Comparator
Verbatim
t0 “sunflower crop ”
✓ located verbatim in the source · title, characters 51–65 e0 “the k-means algorithm has early delineated the subfield crop spatial and temporal yield variability . ”
✓ located verbatim in the source · abstract, characters 982–1082 Other claims from this paper (9) Association observed original result measured Claim · model-written summary
Fluctuations in temperature amplitudes account for 32% of the temporal variability of grass yield .
Taxoncloverothymothy grass e2 Treatmentfluctuations in temperature amplitudes e1 Outcometemporal variability of the yield e1 Not reported Direction
Verbatim
e1 “It was revealed that in total these parameters determine about 43% of the variability in grass productivity, but fluctuations in temperature amplitudes are responsible for 32% of the temporal variability of the yield ”
✓ located verbatim in the source · abstract, characters 581–797 e2 “The yield monitoring (1998–2023) of cloverothymothy grass stands of 1 year of use within the moraine hill was carried out in order to find patterns in the influence of weather conditions on it ”
✓ located verbatim in the source · abstract, characters 0–192 Other claims from this paper (11) Method / resource observed original result measured Claim · model-written summary
NDVI and EVI were more effective at detecting spatial and temporal vine vigor variability during mid-to-late seasons than during early seasons.
Outcomedetecting spatial and temporal vine vigor variability e1 Directionmore effective e1 Comparatorearly seasons e1 Verbatim
t0 “grapevine ”
✓ located verbatim in the source · title, characters 43–52 e1 “more effective at detecting spatial and temporal vine vigor variability during mid-to-late seasons than during early seasons ”
✓ located verbatim in the source · abstract, characters 1770–1894 Other claims from this paper (12) 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.