View: List Claim type Research area Organism Taxon as written Decade Paper Observation observed original result significant (as stated) measured Claim · model-written summary
Corn had significantly less temporal yield variability than soybean or sorghum.
temporal yield variability e0 soybean or sorghum e0 Verbatim
e0 “Corn had significantly less temporal yield variability than soybean or sorghum. ”
✓ located verbatim in the source · abstract, characters 1216–1295 Other claims from this paper (6) Observation observed original result measured Claim · model-written summary
Temporal soybean yield variability was 20–22%.
soybean yield variability e7 Verbatim
e7 “Spatial and temporal soybean yield variability was 16–26% and 20–22%, respectively ”
✓ located verbatim in the source · abstract, characters 2005–2087 Other claims from this paper (14) Observation observed original result measured Claim · model-written summary
Maximum temporal yield variability was 14.7% between 2014 and 2017.
Maximum temporal variability e0 between the year 2014 and 2017 e0 Verbatim
e0 “Maximum temporal variability (14.7 %) was observed between the year 2014 and 2017. ”
✓ located verbatim in the source · abstract, characters 750–832 t0 “Paddy Crop ”
✓ located verbatim in the source · title, characters 32–42 Other claims from this paper (4) Association observed original result measured Claim · model-written summary
Spatial and temporal corn yield variability were uncorrelated.
Spatial and temporal variability e0 Not reported Setting Direction
Verbatim
e0 “Spatial and temporal variability were uncorrelated ”
✓ located verbatim in the source · abstract, characters 1120–1170 t0 “Corn Silage ”
✓ located verbatim in the source · title, characters 31–42 Other claims from this paper (3) Association observed original result simulated Claim · model-written summary
Temporal variability of grain yield , nitrogen response and net revenue increased with nitrogen rate.
Temporal variability of grain yield, N response, and net revenue e0 Verbatim
e0 “Temporal variability of grain yield , N response, and net revenue increased with N rate. ”
✓ located verbatim in the source · abstract, characters 1751–1838 t0 “Maize ”
✓ located verbatim in the source · title, characters 48–53 Other claims from this paper (8) Association observed original result significant (as stated) simulated Claim · model-written summary
Temporal variability across sowing times significantly affected soybean yield .
different 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) Method / resource author interpretation original result simulated Claim · model-written summary
A theoretical model suggests plausible conditions in which precision farming reduces temporal yield variability .
precision farming e0 temporal yield variability e0 Not reported Taxon Comparator Value
Verbatim
e0 “A theoretical model is presented that suggests that there are plausible circumstances under which precision farming can reduce temporal yield variability ”
✓ located verbatim in the source · abstract, characters 336–489 Other claims from this paper (1) Method / resource observed original result positive simulated Claim · model-written summary
A theoretical model suggests precision farming can reduce temporal yield variability under plausible circumstances.
precision farming e0 temporal yield variability e0 plausible circumstances e0 Not reported Taxon Comparator
Verbatim
e0 “A theoretical model is presented that suggests that there are plausible circumstances under which precision farming can reduce temporal yield variability . ”
✓ located verbatim in the source · abstract, characters 345–499 Other claims from this paper (1) Method / resource author interpretation original result measured Claim · model-written summary
Fractal analysis was judged useful for quantifying temporal yield variation.
quantifying temporal variability in yield e5 Not reported Comparator Value
Verbatim
e5 “It appears that fractal analysis is useful in quantifying temporal variability in yield of various crops ”
✓ located verbatim in the source · abstract, characters 1973–2077 Other claims from this paper (9) Intervention effect observed original result positive measured Claim · model-written summary
Manure reduced rye yield variability under Ca and CaPK.
additional manure e0 temporal yield variability of rye e0 Ca 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) Intervention effect observed original result positive simulated Claim · model-written summary
Irrigation reduced spatial and temporal yield variability .
variability both spatially and temporally e0 Not reported Comparator
Verbatim
e0 “Irrigation improved yield by at least 1000 kg ha-1 in half of the years simulated, and alsoshowed to have less variability both spatially and temporal ly ”
✓ located verbatim in the source · abstract, characters 1067–1219 t0 “Corn ”
✓ located verbatim in the source · title, characters 73–77 Other claims from this paper (6) Intervention effect observed original result no effect not significant (as stated) measured Claim · model-written summary
Interactions between plant spacing variability and emergence variability were not significant for corn yield .
interactions between the two factors e0 Not reported Comparator Direction
Verbatim
e0 “interactions between the two factors were not significant ”
✓ located verbatim in the source · abstract, characters 1662–1719 e1 “did not affect yield ”
✓ located verbatim in the source · abstract, characters 1636–1656 t0 “Corn ”
✓ located verbatim in the source · title, characters 12–16 Other claims from this paper (7) Recommendation author interpretation original result basis n/a Claim · model-written summary
Temporal variability of crop yield and soil attributes should be considered to delineate management zones accurately.
take into account the temporal variability of crop yield and soil attributes e0 Verbatim
e0 “it is very important take into account the temporal variability of crop yield and soil attributes to delineate management zones accurately ”
✓ located verbatim in the source · abstract, characters 1245–1383 Other claims from this paper (3) Recommendation author interpretation original result basis n/a Claim · model-written summary
Yield maps may be unhelpful for future management when temporal variability is great.
may not be useful in making future management decisions e0 when temporal variability is great e0 Verbatim
e0 “Yield maps, which are used as an indication of past management in site‐specific cases, may not be useful in making future management decisions when temporal variability is great. ”
✓ located verbatim in the source · abstract, characters 1623–1801 t0 “Crop Sequences ”
✓ located verbatim in the source · title, characters 50–64 Other claims from this paper (6) Recommendation author interpretation original result basis n/a Claim · model-written summary
Fields with high spatial variability and a clear temporal stability pattern have great potential for long-term site-specific management of crop inputs.
long-term site-specific management of crop inputs e1 high spatial variability and a clear temporal stability pattern e1 Verbatim
t0 “Irrigated Cotton Yield in the Southern High Plains ”
✓ located verbatim in the source · title, characters 31–81 e1 “Fields with high spatial variability and a clear temporal stability pattern have great potential for long-term site-specific management of crop inputs ”
✓ located verbatim in the source · abstract, characters 1378–1528 Other claims from this paper (8) Mechanism observed original result measured Claim · model-written summary
Yield , rather than temporal yield variability , drove stability.
driven 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) Mechanism author interpretation original result measured Claim · model-written summary
Temporal variability may greatly influence how spatial variability is expressed in a field.
spatial variability e0 Temporal variability e0 Verbatim
e0 “Temporal variability may greatly influence how spatial variability is expressed in a given field. ”
✓ located verbatim in the source · abstract, characters 1525–1622 t0 “Crop Sequences ”
✓ located verbatim in the source · title, characters 50–64 Other claims from this paper (6) Mechanism hypothesis original result measured Claim · model-written summary
Spatial and temporal yield patterns in low- variability cotton fields might be more influenced by weather or other factors across seasons.
spatial and temporal yield patterns e1 weather or other factors in different growing seasons e1 Verbatim
t0 “Irrigated Cotton Yield in the Southern High Plains ”
✓ located verbatim in the source · title, characters 31–81 e1 “For fields with low variability in yield , spatial and temporal yield patterns might be more influenced by weather or other factors in different growing seasons ”
✓ located verbatim in the source · abstract, characters 1217–1376 Other claims from this paper (8) 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.
Zea mays subsp. mayse0
Glycine max
Zea mays
Secale cereale
Gossypium hirsutum