View: List Claim type Research area Organism Taxon as written Decade Paper Crop resilience to climate change: A study of spatio-temporal variability of sugarcane yield in a subtropical region, China 18 Show all 18 → Association observed original result positive simulated Claim · model-written summary
Increased temperature caused a small increase in sugarcane yield .
increase in temperature e0 Verbatim
e0 “An increase in temperature caused a little increase in sugarcane yield ”
✓ located verbatim in the source · abstract, characters 2098–2168 Other claims from this paper (17) Observation Projected sugarcane dry-matter yield increases under RCP4.5 were 3.6, 4.7 and 5.8 t ha−1 for the 2030s, 2060s and 2090s against baseline. Observation Projected sugarcane dry-matter yield increases under RCP8.5 were 2.9, 5.4 and 8.5 t ha−1 for the 2030s, 2060s and 2090s against baseline. Observation Projected sugarcane sucrose yield increases under RCP4.5 were 5.2, 7.0 and 8.3 t ha−1 across the future periods. Observation Projected sugarcane sucrose yield increases under RCP8.5 were 4.3, 7.2 and 10.8 t ha−1 across the future periods. Association Sugarcane yield had no significant relationship with solar radiation changes. Association Sugarcane yield was significantly correlated with rainfall changes. Association Sugarcane yield was significantly correlated with temperature changes. Association Combined radiation, rainfall, temperature and elevated CO2 changes may explain 69% of sugarcane DM yield changes. Association Combined radiation, rainfall, temperature and elevated CO2 changes may explain 76% of sugarcane sucrose yield changes. Association Increased rainfall significantly increased sugarcane yield until a limit was exceeded. Association Sugarcane yield decreased when rainfall exceeded a certain limit. Association Sucrose yield increased with temperature at constant radiation. Association Sucrose yield decreased when radiation exceeded a certain limit. Association Temperature changes increased sucrose yield only when radiation and temperature increased together. Association Rainfall increased sucrose yield, though the amplitude was limited. Association Radiation increased sucrose yield, though the amplitude was limited. Recommendation The authors recommend supplemental irrigation to improve sugarcane yield under future climate change. Association observed original result no effect not significant (as stated) simulated Claim · model-written summary
Sugarcane yield had no significant relationship with solar radiation changes.
changes in solar radiation e0 Not reported Direction
Verbatim
e0 “sugarcane yield had no significant relationship with changes in solar radiation ”
✓ located verbatim in the source · abstract, characters 1752–1831 Other claims from this paper (17) Observation Projected sugarcane dry-matter yield increases under RCP4.5 were 3.6, 4.7 and 5.8 t ha−1 for the 2030s, 2060s and 2090s against baseline. Observation Projected sugarcane dry-matter yield increases under RCP8.5 were 2.9, 5.4 and 8.5 t ha−1 for the 2030s, 2060s and 2090s against baseline. Observation Projected sugarcane sucrose yield increases under RCP4.5 were 5.2, 7.0 and 8.3 t ha−1 across the future periods. Observation Projected sugarcane sucrose yield increases under RCP8.5 were 4.3, 7.2 and 10.8 t ha−1 across the future periods. Association Sugarcane yield was significantly correlated with rainfall changes. Association Sugarcane yield was significantly correlated with temperature changes. Association Combined radiation, rainfall, temperature and elevated CO2 changes may explain 69% of sugarcane DM yield changes. Association Combined radiation, rainfall, temperature and elevated CO2 changes may explain 76% of sugarcane sucrose yield changes. Association Increased temperature caused a small increase in sugarcane yield. Association Increased rainfall significantly increased sugarcane yield until a limit was exceeded. Association Sugarcane yield decreased when rainfall exceeded a certain limit. Association Sucrose yield increased with temperature at constant radiation. Association Sucrose yield decreased when radiation exceeded a certain limit. Association Temperature changes increased sucrose yield only when radiation and temperature increased together. Association Rainfall increased sucrose yield, though the amplitude was limited. Association Radiation increased sucrose yield, though the amplitude was limited. Recommendation The authors recommend supplemental irrigation to improve sugarcane yield under future climate change. Association observed original result significant (as stated) simulated Claim · model-written summary
Sugarcane yield was significantly correlated with rainfall changes.
Not reported Direction
Verbatim
e0 “sugarcane yield had no significant relationship with changes in solar radiation, but the yield had significant correlations with rainfall and temperature changes ”
✓ located verbatim in the source · abstract, characters 1752–1913 Other claims from this paper (17) Observation Projected sugarcane dry-matter yield increases under RCP4.5 were 3.6, 4.7 and 5.8 t ha−1 for the 2030s, 2060s and 2090s against baseline. Observation Projected sugarcane dry-matter yield increases under RCP8.5 were 2.9, 5.4 and 8.5 t ha−1 for the 2030s, 2060s and 2090s against baseline. Observation Projected sugarcane sucrose yield increases under RCP4.5 were 5.2, 7.0 and 8.3 t ha−1 across the future periods. Observation Projected sugarcane sucrose yield increases under RCP8.5 were 4.3, 7.2 and 10.8 t ha−1 across the future periods. Association Sugarcane yield had no significant relationship with solar radiation changes. Association Sugarcane yield was significantly correlated with temperature changes. Association Combined radiation, rainfall, temperature and elevated CO2 changes may explain 69% of sugarcane DM yield changes. Association Combined radiation, rainfall, temperature and elevated CO2 changes may explain 76% of sugarcane sucrose yield changes. Association Increased temperature caused a small increase in sugarcane yield. Association Increased rainfall significantly increased sugarcane yield until a limit was exceeded. Association Sugarcane yield decreased when rainfall exceeded a certain limit. Association Sucrose yield increased with temperature at constant radiation. Association Sucrose yield decreased when radiation exceeded a certain limit. Association Temperature changes increased sucrose yield only when radiation and temperature increased together. Association Rainfall increased sucrose yield, though the amplitude was limited. Association Radiation increased sucrose yield, though the amplitude was limited. Recommendation The authors recommend supplemental irrigation to improve sugarcane yield under future climate change. Spatial and Temporal Variability of Available Nutrient in Cotton Field at Flower and Boll Stage and Its Effect on Lint Yield and Fiber Quality 16 Show all 16 → 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. Observation observed original result measured Claim · model-written summary
Soil alkali-hydrolyzable nitrogen varied more across space and time in Nanjing than Anyang.
spatial and temporal variability for soil alkali-hydrolyzable nitrogen e0 more significant e0 Verbatim
e0 “The spatial and temporal variability for soil alkali-hydrolyzable nitrogen was more significant in Nanjing than in Anyang ”
✓ located verbatim in the source · abstract, characters 1571–1692 t0 “Cotton Field ”
✓ located verbatim in the source · title, characters 58–70 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 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. Recommendation The authors recommend region-specific fertilizer rates based on spatial and temporal soil nutrient variation. Observation observed original result measured Claim · model-written summary
Available soil nutrients decreased with soil depth.
Soil available nutrient e0 Verbatim
e0 “Soil available nutrient in 0–60 cm soil layers decreased with the deepening of the layer ”
✓ located verbatim in the source · abstract, characters 1150–1238 t0 “Cotton Field ”
✓ located verbatim in the source · title, characters 58–70 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 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. Recommendation The authors recommend region-specific fertilizer rates based on spatial and temporal soil nutrient variation. Spatial and Temporal Variability of Available Nutrient in Cotton Field at Flower and Boll Stage and Its Effect on Lint Yield and Fiber Quality 15 Show all 15 → Observation observed original result measured Claim · model-written summary
N0 showed no clear horizontal variation.
Verbatim
e0 “N0处理水平变异特征不明显 ”
✓ located verbatim in the source · abstract, characters 370–383 t0 “Cotton ”
✓ located verbatim in the source · title, characters 58–64 Other claims from this paper (14) Observation At both sites under N0, soil alkali hydrolyzable nitrogen first declined then rose with development. Observation Under the other four treatments, soil alkali hydrolyzable nitrogen fell, rose after topdressing, fell again, then recovered after boll opening. Observation Available phosphorus at both sites initially declined and later increased. Observation Available potassium at both sites initially declined and later increased. Association Available nutrients declined with soil depth to 60 cm. Association At Nanjing under N1 to N4, alkali hydrolyzable nitrogen declined with horizontal distance from cotton. Association At Nanjing under N1 to N4, available phosphorus declined with horizontal distance from cotton. Association Nanjing showed greater spatiotemporal variation in alkali hydrolyzable nitrogen than Anyang. Association Anyang showed greater spatiotemporal variation in available phosphorus than Nanjing. Association Available potassium declined with distance at 0 to 60 cm in Nanjing and 20 to 60 cm in Anyang. Association At 0 to 20 cm in Anyang, available potassium showed the opposite distance trend. Intervention effect At Anyang, 360 kg hm-2 N gave the highest lint yield and favorable yield components and fiber traits. Intervention effect At Nanjing, 240 kg hm-2 N gave the highest lint yield and favorable yield components and fiber traits. Recommendation Fertilizer rates should be set by nutrient variation during flowering and boll stage in each ecological region. Observation observed original result measured Claim · model-written summary
Available phosphorus at both sites initially declined and later increased.
Verbatim
e0 “两试点速效磷、速效钾含量均表现为先降低后升高的趋势 ”
✓ located verbatim in the source · abstract, characters 266–291 t0 “Cotton ”
✓ located verbatim in the source · title, characters 58–64 Other claims from this paper (14) Observation At both sites under N0, soil alkali hydrolyzable nitrogen first declined then rose with development. Observation Under the other four treatments, soil alkali hydrolyzable nitrogen fell, rose after topdressing, fell again, then recovered after boll opening. Observation Available potassium at both sites initially declined and later increased. Association Available nutrients declined with soil depth to 60 cm. Association At Nanjing under N1 to N4, alkali hydrolyzable nitrogen declined with horizontal distance from cotton. Association At Nanjing under N1 to N4, available phosphorus declined with horizontal distance from cotton. Observation N0 showed no clear horizontal variation. Association Nanjing showed greater spatiotemporal variation in alkali hydrolyzable nitrogen than Anyang. Association Anyang showed greater spatiotemporal variation in available phosphorus than Nanjing. Association Available potassium declined with distance at 0 to 60 cm in Nanjing and 20 to 60 cm in Anyang. Association At 0 to 20 cm in Anyang, available potassium showed the opposite distance trend. Intervention effect At Anyang, 360 kg hm-2 N gave the highest lint yield and favorable yield components and fiber traits. Intervention effect At Nanjing, 240 kg hm-2 N gave the highest lint yield and favorable yield components and fiber traits. Recommendation Fertilizer rates should be set by nutrient variation during flowering and boll stage in each ecological region. Observation observed original result measured Claim · model-written summary
Available potassium at both sites initially declined and later increased.
Verbatim
e0 “两试点速效磷、速效钾含量均表现为先降低后升高的趋势 ”
✓ located verbatim in the source · abstract, characters 266–291 t0 “Cotton ”
✓ located verbatim in the source · title, characters 58–64 Other claims from this paper (14) Observation At both sites under N0, soil alkali hydrolyzable nitrogen first declined then rose with development. Observation Under the other four treatments, soil alkali hydrolyzable nitrogen fell, rose after topdressing, fell again, then recovered after boll opening. Observation Available phosphorus at both sites initially declined and later increased. Association Available nutrients declined with soil depth to 60 cm. Association At Nanjing under N1 to N4, alkali hydrolyzable nitrogen declined with horizontal distance from cotton. Association At Nanjing under N1 to N4, available phosphorus declined with horizontal distance from cotton. Observation N0 showed no clear horizontal variation. Association Nanjing showed greater spatiotemporal variation in alkali hydrolyzable nitrogen than Anyang. Association Anyang showed greater spatiotemporal variation in available phosphorus than Nanjing. Association Available potassium declined with distance at 0 to 60 cm in Nanjing and 20 to 60 cm in Anyang. Association At 0 to 20 cm in Anyang, available potassium showed the opposite distance trend. Intervention effect At Anyang, 360 kg hm-2 N gave the highest lint yield and favorable yield components and fiber traits. Intervention effect At Nanjing, 240 kg hm-2 N gave the highest lint yield and favorable yield components and fiber traits. Recommendation Fertilizer rates should be set by nutrient variation during flowering and boll stage in each ecological region. Spatial and temporal precipitation variability as a component of site-specific crop yield variability 11 Show all 11 → Observation observed original result measured Claim · model-written summary
Spatial variability was below temporal variability and frequently below 1 mm.
Spatial variability e0 Verbatim
e0 “Spatial variability was less than temporal variability , and frequently less than 1 mm ”
✓ located verbatim in the source · abstract, characters 1234–1319 t0 “crop yield ”
✓ located verbatim in the source · title, characters 79–89 e1 “by corn and soybean phenological phase ”
✓ located verbatim in the source · abstract, characters 1035–1073 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Temporal precipitation variability was 0.17 to 3.40 mm·day−1.
Median absolute deviation from a reference year e0 0.17 to 3.40 mm·day−1 e0 Verbatim
e0 “Median absolute deviation from a reference year was 0.17 to 3.40 mm·day−1 ( temporal /year-to-year variability ) ”
✓ located verbatim in the source · abstract, characters 1123–1232 t0 “crop yield ”
✓ located verbatim in the source · title, characters 79–89 e1 “by corn and soybean phenological phase ”
✓ located verbatim in the source · abstract, characters 1035–1073 Other claims from this paper (10) Method / resource observed original result simulated Claim · model-written summary
Simulated yield differed from the long term mean by 21.5%.
percent absolute difference from long-term mean e0 Verbatim
e0 “The percent absolute difference from long-term mean ( temporal variability ) was 21.5% ”
✓ located verbatim in the source · abstract, characters 1730–1814 t0 “crop yield ”
✓ located verbatim in the source · title, characters 79–89 e1 “by corn and soybean phenological phase ”
✓ located verbatim in the source · abstract, characters 1035–1073 Other claims from this paper (10) Temporal Yield Variability under Conventional and Alternative Management Systems 11 Show all 11 → Observation observed original result measured Claim · model-written summary
Organic soybean yield variability was highest, at 48%.
Temporal yield variability e1 Verbatim
e0 “was highest in the ORG system during the soybean (CV = 48%) ”
✓ located verbatim in the source · abstract, characters 1735–1794 e1 “Temporal yield variability differed among management systems and rotation phases and was highest in the ORG system during the soybean (CV = 48%) and winter wheat (CV = 33%) phases of the rotation ”
✓ located verbatim in the source · abstract, characters 1650–1845 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Organic winter wheat yield variability was highest, at 33%.
yield variability e1 Verbatim
e0 “winter wheat (CV = 33%) phases of the rotation ”
✓ located verbatim in the source · abstract, characters 1799–1845 e1 “Temporal yield variability differed among management systems and rotation phases and was highest in the ORG system during the soybean (CV = 48%) and winter wheat (CV = 33%) phases of the rotation ”
✓ located verbatim in the source · abstract, characters 1650–1845 Other claims from this paper (10) Observation observed original result positive measured Claim · model-written summary
Low-input corn yield variability was 40% lower than conventional.
yield variability e0 Verbatim
e0 “yield variability was 40% lower in the LI (corn phase) ”
✓ located verbatim in the source · abstract, characters 1874–1928 e1 “Compared to the CT system, yield variability was 40% lower in the LI (corn phase) ”
✓ located verbatim in the source · abstract, characters 1847–1928 Other claims from this paper (10) Assessing Spatial and Temporal Variability of Corn and Soybean Yields 11 Show all 11 → Observation observed original result measured Claim · model-written summary
Between-year corn yield variability was about four times between-plot variability .
Yield variability e0 Verbatim
e0 “Yield variability among years was approximately three times greater for soybean and four times greater for corn than was variability among plots (Table ) ”
✓ located verbatim in the source · abstract, characters 4944–5097 t0 “Corn and Soybean ”
✓ located verbatim in the source · title, characters 46–62 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Between-year soybean yield variability was about three times between-plot variability .
Yield variability e0 approximately three times e0 Verbatim
e0 “Yield variability among years was approximately three times greater for soybean and four times greater for corn than was variability among plots (Table ) ”
✓ located verbatim in the source · abstract, characters 4944–5097 t0 “Corn and Soybean ”
✓ located verbatim in the source · title, characters 46–62 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Corn-soybean rotation plots showed similar yield variability .
corn‐soybean rotation e0 Verbatim
e0 “Similar results were observed for the plots in the corn‐soybean rotation ”
✓ located verbatim in the source · abstract, characters 1632–1704 t0 “Corn and Soybean ”
✓ located verbatim in the source · title, characters 46–62 Other claims from this paper (10) Spatial and Temporal Variability of Corn Growth and Grain Yield 11 Show all 11 → Method / resource observed original result positive measured Claim · model-written summary
Measured parameters forecast grain yield better in 1998 than 1999.
forecast grain yields e0 Verbatim
e0 “Measured parameters forecast grain yield s better in 1998 than in 1999 ”
✓ located verbatim in the source · abstract, characters 1319–1388 t0 “Corn ”
✓ located verbatim in the source · title, characters 36–40 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Grain yield s formed four distinct spatial clusters.
four distinct clusters e0 Verbatim
e0 “Grain yield s at DGPS locations were classified into four distinct clusters ”
✓ located verbatim in the source · abstract, characters 788–862 t0 “Corn ”
✓ located verbatim in the source · title, characters 36–40 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Common smut preferred dry conditions.
Ustilago zeae (Beckm.) Unger e0 pathogen preferred dry conditions e0 Verbatim
e0 “common smut [ Ustilago zeae (Beckm.) Unger] that preferred dry conditions ”
✓ located verbatim in the source · abstract, characters 1130–1203 t0 “Corn ”
✓ located verbatim in the source · title, characters 36–40 Other claims from this paper (10) Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora 11 Show all 11 → Observation observed original result measured Claim · model-written summary
Repeatability was 0.89.
Verbatim
e0 “repeatability was 0.89 ”
✓ located verbatim in the source · abstract, characters 690–712 t0 “Coffea canephora
✓ located verbatim in the source · title, characters 110–126 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Selective accuracy ranged from 0.92 to 0.94.
selective accuracy e0 Verbatim
e0 “selective accuracy ranged from 0.92 to 0.94. ”
✓ located verbatim in the source · abstract, characters 718–762 t0 “Coffea canephora
✓ located verbatim in the source · title, characters 110–126 Other claims from this paper (10) Observation observed original result measured Claim · model-written summary
Genotype-mean heritability ranged from 0.84 to 0.86.
genotype-mean heritability e0 Verbatim
e0 “genotype-mean heritability from 0.84 to 0.86 ”
✓ located verbatim in the source · abstract, characters 644–688 t0 “Coffea canephora
✓ located verbatim in the source · title, characters 110–126 Other claims from this paper (10) Fractal Description of Temporal Yield Variability of 10 Crops in the United States 10 Show all 10 → 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) Observation observed original result measured Claim · model-written summary
Average crop yield varied less over time than soil parameters varied spatially.
Temporal variability in average crop yield e4 typical spatial variability values reported by others for soil parameters e4 Verbatim
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
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) SPATIAL AND TEMPORAL VARIABILITY OF YIELD AND FRUIT QUALITY IN APPLES 10 Show all 10 → Observation observed original result measured Claim · model-written summary
Year-to-year yield variability was low in Red Chief.
Temporal variability (differences from year to year) in yield e0 Verbatim
t0 “APPLES ”
✓ located verbatim in the source · title, characters 63–69 e0 “Temporal variability (differences from year to year) in yield was low in 'Red Chief and high in 'Fuji' trees due to alternate bearing ”
✓ located verbatim in the source · abstract, characters 1060–1193 Other claims from this paper (9) Observation observed original result measured Claim · model-written summary
Year-to-year yield variability was high in Fuji due to alternate bearing.
Temporal variability (differences from year to year) in yield e0 due to alternate bearing e0 Verbatim
t0 “APPLES ”
✓ located verbatim in the source · title, characters 63–69 e0 “Temporal variability (differences from year to year) in yield was low in 'Red Chief and high in 'Fuji' trees due to alternate bearing ”
✓ located verbatim in the source · abstract, characters 1060–1193 Other claims from this paper (9) Observation observed original result significant (as stated) measured Claim · model-written summary
Yield and quality had significant spatial variability .
spatial variability in yield and quality e0 Verbatim
t0 “APPLES ”
✓ located verbatim in the source · title, characters 63–69 e0 “Significant spatial variability in yield and quality were found ”
✓ located verbatim in the source · abstract, characters 797–860 Other claims from this paper (9) 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
Zea mays subsp. mays
Glycine max
Triticum aestivum
Coffea canephora