View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result positive measured Claim · model-written summary
Machine learning explained 93% of observed yield variability .
Outcomeobserved yield variability e0 Verbatim
e0 “machine learning can explain 93% of observed yield variability ”
✓ located verbatim in the source · abstract, characters 935–997 Other claims from this paper (9) Method / resource observed original result negative measured Claim · model-written summary
CERES-Wheat and CERES-Maize failed to quantify observed within-field yield variability .
Outcomeobserved within-field yield variability e0 Comparatorobserved within-field yield variability e0 Verbatim
e0 “usual crop models such as CERES-Wheat and CERES-Maize were not able to quantify the observed within-field yield variability ”
✓ located verbatim in the source · abstract, characters 772–895 Other claims from this paper (2) Method / resource observed original result measured Claim · model-written summary
Simulated sugarcane yield showed lower interannual variability than the observed yield s.
Outcomeinterannual variability e0 Comparatorobserved yields e0 Verbatim
t0 “Sugarcane ”
✓ located verbatim in the source · title, characters 23–32 e0 “but exhibited a lower interannual variability than the observed yield s ”
✓ located verbatim in the source · abstract, characters 1397–1467 Other claims from this paper (4) Association observed original result measured Claim · model-written summary
The reduction in yield variability observed with data aggregation is specific to each crop.
Treatmentdata aggregation e0 Outcomeyield variability e0 Verbatim
e0 “the degree of yield variability reduction ( observed with data aggregation) is crop specific ”
✓ located verbatim in the source · abstract, characters 539–630 Other claims from this paper (1) Observation observed original result measured Claim · model-written summary
High genetic variability was observed for yield components in barley.
Outcomegenetic variability e6 Qualifieryield components e6 Verbatim
t0 “in barley (Hordeum vulgare ) ”
✓ located verbatim in the source · title, characters 78–105 e6 “A high genetic variability was also observed for yield components ”
✓ located verbatim in the source · abstract, characters 1182–1247 Other claims from this paper (8) Observation observed original result measured Claim · model-written summary
Large variability in climbing bean yield between fields was observed .
Outcomevariability in yield between fields e0 Verbatim
e0 “Large variability in yield between fields was observed ”
✓ located verbatim in the source · abstract, characters 782–836 t0 “climbing bean ”
✓ located verbatim in the source · title, characters 16–29 Other claims from this paper (12) Observation observed original result significant (as stated) measured Claim · model-written summary
Significant variability was observed for yield and its components.
Outcomeyield and its components e1 Verbatim
e0 “white onion (Allium cepa L.) genotypes ”
✓ located verbatim in the source · abstract, characters 72–110 e1 “Significant variability was observed for yield and its components ”
✓ located verbatim in the source · abstract, characters 213–278 Other claims from this paper (7) Observation observed original result significant (as stated) measured Claim · model-written summary
Significant variability was observed among parental cotton genotypes for yield -related traits.
Materialparental genotypes e1 Qualifierfor yield-related traits e1 Verbatim
t0 “COTTON ”
✓ located verbatim in the source · title, characters 66–72 e1 “Significant variability among parental genotypes was observed for yield -related traits, indicating genetic variation in the breeding material ”
✓ located verbatim in the source · abstract, characters 843–984 Other claims from this paper (6) Observation observed original result measured Claim · model-written summary
Maximum temporal yield variability in paddy was 14.7%, observed between 2014 and 2017.
Outcometemporal variability e3 Qualifierbetween the year 2014 and 2017 e3 Verbatim
e0 “assess yield variability of paddy crop using automatic yield monitoring (AYM) system ”
✓ located verbatim in the source · abstract, characters 25–109 e3 “Maximum temporal variability (14.7 %) was observed between the year 2014 and 2017 ”
✓ located verbatim in the source · abstract, characters 750–831 Other claims from this paper (4) Observation observed original result significant (as stated) measured Claim · model-written summary
Significant variability was observed among the crosses for yield and component traits.
OutcomeSignificant variability e4 Not reported Direction
Verbatim
e0 “Indian mustard [Brassica juncea (L.)] is a pivotal oilseed crop ”
✓ located verbatim in the source · abstract, characters 0–63 e4 “Significant variability was observed for yield and component traits ”
✓ located verbatim in the source · abstract, characters 817–884 Other claims from this paper (7) 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.