View: List Claim type Research area Organism Taxon as written Decade Paper Association observed original result negative measured Claim · model-written summary
Catucai, with greater spatial variability , was more nutritionally unbalanced than Catuai.
nutritional unbalanced e1 with grater spatial variability e1 Verbatim
t0 “arabic coffee ”
✓ located verbatim in the source · title, characters 45–58 e1 “Variety Catucai, with grater spatial variability , was more nutritional unbalanced than variety Catuai, and consequently produced lower yields ”
✓ located verbatim in the source · abstract, characters 801–942 Other claims from this paper (2) Mechanism author interpretation original result negative measured Claim · model-written summary
The authors concluded that grazing increases vegetation spatial variability .
livestock grazing e0 spatial variability of vegetation e0 Verbatim
e0 “These reveal that livestock grazing results in an increase in spatial variability of vegetation in degenerated sandy steppe. ”
✓ located verbatim in the source · abstract, characters 1449–1573 Other claims from this paper (5) Observation observed original result negative measured Claim · model-written summary
Mechanical cotton harvest losses showed large spatial variability and high indices.
Verbatim
e0 “Losses had found large spatial variability , with high indices considered for the mechanical harvesting of cotton ”
✓ located verbatim in the source · abstract, characters 885–997 Other claims from this paper (2) Method / resource observed original result negative measured Claim · model-written summary
Aggregation narrowed spatial variability of input weather data but widened the reported distribution metric.
spatial variability e0 especially across mountainous areas e0 Not reported Taxon Comparator Value
Verbatim
e0 “data aggregation narrowed the spatial variability but widened the , especially across mountainous areas ”
✓ located verbatim in the source · abstract, characters 832–935 Other claims from this paper (6) Method / resource observed original result negative measured Claim · model-written summary
Satellite data were inconsistent in explaining vineyard variability due to coarse spatial resolution.
inconsistent in explaining the variability e0 satellite data e0 Verbatim
e0 “Due to their coarse spatial resolution, the satellite data proved inconsistent in explaining the variability ”
✓ located verbatim in the source · abstract, characters 1594–1702 t0 “vineyard variability ”
✓ located verbatim in the source · title, characters 119–139 Other claims from this paper (10) Observation author interpretation original result negative measured Claim · model-written summary
Non-destructive estimation of pre-harvest spatial yield variability is impossible for root vegetables such as carrots.
root vegetables such as carrots e5 pre-harvest spatial yield variability e5 Verbatim
e5 “It is impossible to non-destructively estimate the pre-harvest spatial yield variability of root vegetables such as carrots ”
✓ located verbatim in the source · abstract, characters 1821–1944 Other claims from this paper (6) Observation observed original result negative measured Claim · model-written summary
The other varieties were low yielding when spatial and temporal variability was considered in combination.
the other varieties e6 spatial and temporal variability was considered in combination e6 Verbatim
e0 “temporal and spatial analysis of yields were carried out over 2 years for a 0.5-ha apple orchard ”
✓ located verbatim in the source · abstract, characters 174–270 e6 “the other varieties were specified as stable and low yielding when spatial and temporal variability was considered in combination ”
✓ located verbatim in the source · abstract, characters 1289–1418 Other claims from this paper (7) Method / resource observed original result negative measured Claim · model-written summary
The finer sampling grid worsened knowledge of spatial variability of soil physical properties.
10m with 302 sampling points e0 spatial variability of soil physical properties e0 reverse effect e0 20m with 63 sampling points e0 Not reported Taxon
Verbatim
e0 “The evolution of the sampling grid from 20m with 63 sampling points to 10m with 302 sampling points allowed for a much better knowledge of the spatial variability of crop yields but it had the reverse effect on the spatial variability of soil physical properties. ”
✓ located verbatim in the source · abstract, characters 1731–1994 Other claims from this paper (8) Method / resource author interpretation review summary negative basis n/a Claim · model-written summary
The DSSAT family crop model has limited spatial variability because it assumes one homogeneous field unit.
limitations in spatial variability e0 single homogeneous field unit e0 Not reported Comparator
Verbatim
e0 “The crop model built for the DSSAT family software has limitations in spatial variability due to its simulation mechanism based on a single homogeneous field unit ”
✓ located verbatim in the source · abstract, characters 1077–1239 Other claims from this paper (5) Observation author interpretation review summary negative basis n/a Claim · model-written summary
Rainfall has limited utility at small scales due to discrete occurrence and high spatial variability .
drawbacks of using rainfall at small scales e0 Not reported Direction
Verbatim
e0 “The drawbacks of using rainfall at small scales relate to its discrete nature and high spatial variability . ”
✓ located verbatim in the source · abstract, characters 937–1044 e1 “soybean rust and wheat scab ”
✓ located verbatim in the source · abstract, characters 1436–1463 Other claims from this paper (2) 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 hirsutum
Malus domestica
Triticum aestivum