View: List Claim type Research area Organism Taxon as written Decade Paper EFFECTS OF INITIAL HARVEST DATE ON DRY MATTER YIELD, IN VITRO DRY MATTER DIGESTIBILITY AND PROTEIN IN TIMOTHY, TALL FESCUE, REED CANARYGRASS AND KENTUCKY BLUEGRASS 12 Show all 12 → Observation observed original result negative measured Claim · model-written summary
Timothy IVDMD decrease d on average by 0.74% per day during June.
Verbatim
e0 “In vitro dry matter digestibility (IVDMD) values ranged from above 80% down to 45%, with an average rate of decrease during June of 0.74, 0.84, 0.85 and 0.45% per day in timothy, tall fescue, reed canarygrass and Kentucky bluegrass, respectively ”
✓ located verbatim in the source · abstract, characters 355–600 Other claims from this paper (17) Observation observed original result negative measured Claim · model-written summary
Tall fescue IVDMD decrease d on average by 0.84% per day during June.
Verbatim
e0 “In vitro dry matter digestibility (IVDMD) values ranged from above 80% down to 45%, with an average rate of decrease during June of 0.74, 0.84, 0.85 and 0.45% per day in timothy, tall fescue, reed canarygrass and Kentucky bluegrass, respectively ”
✓ located verbatim in the source · abstract, characters 355–600 Other claims from this paper (17) Observation observed original result negative measured Claim · model-written summary
Reed canarygrass IVDMD decrease d on average by 0.85% per day during June.
Verbatim
e0 “In vitro dry matter digestibility (IVDMD) values ranged from above 80% down to 45%, with an average rate of decrease during June of 0.74, 0.84, 0.85 and 0.45% per day in timothy, tall fescue, reed canarygrass and Kentucky bluegrass, respectively ”
✓ located verbatim in the source · abstract, characters 355–600 Other claims from this paper (17) Cell wall changes during the expansion and senescence of carnation (Dianthus caryophyllus) petals 12 Show all 12 → Observation observed original result negative measured Claim · model-written summary
Carnation petal senescence coincided with a decrease in the per-flower yield of cell wall and ethanol-insoluble solids.
yield of cell wall and ethanol‐insoluble solids e0 Verbatim
e0 “Senescence of carnation (Dianthus caryophyllus L. ev. White Sim) petals coincided with a decrease on a per flower basis in the yield of cell wall and ethanol‐insoluble solids ”
✓ located verbatim in the source · abstract, characters 0–174 Other claims from this paper (11) Observation observed original result negative measured Claim · model-written summary
The decrease in cell wall yield was due largely to a loss of neutral sugars.
Verbatim
e0 “Senescence of carnation (Dianthus caryophyllus L. ev. White Sim) petals coincided with a decrease on a per flower basis in the yield of cell wall and ethanol‐insoluble solids ”
✓ located verbatim in the source · abstract, characters 0–174 e1 “The decrease in cell wall yield per flower was due largely to a loss of neutral sugars, primarily galactose (45%) and arabinose (23%) ”
✓ located verbatim in the source · abstract, characters 176–309 Other claims from this paper (11) Observation observed original result negative measured Claim · model-written summary
Large hemicellulosic polymers of carnation petals showed a decrease in xylose and galactose content.
xylose and galactose content e7 Verbatim
e0 “Senescence of carnation (Dianthus caryophyllus L. ev. White Sim) petals coincided with a decrease on a per flower basis in the yield of cell wall and ethanol‐insoluble solids ”
✓ located verbatim in the source · abstract, characters 0–174 e7 “Compositional analysis of the large hemicellulosic polymers revealed a decrease in xylose and galactose content ”
✓ located verbatim in the source · abstract, characters 901–1012 Other claims from this paper (11) VALUATION OF RESISTANCE TO PLASMODIOPHORA BRASSICAE OF HYBRID COMBINATIONS OF WHITE HEAD CABBAGE DEVELOPED BASED ON DOUBLED HAPLOID LINES 10 Show all 10 → Observation observed original result measured Claim · model-written summary
Disease distribution reached 80% in the field trial of the hybrid combinations.
white head cabbage e0 disease distribution e6 Verbatim
e0 “Plasmodiophora brassicae Wor. is the one of the causative agent of disease of the family of Brassicaceae, that results in decrease of white head cabbage yield up to 10-60% ”
✓ located verbatim in the source · abstract, characters 0–171 e6 “The disease distribution reached 80% but disease development varied from 0 to 25% ”
✓ located verbatim in the source · abstract, characters 1759–1840 Other claims from this paper (9) Observation observed original result positive measured Claim · model-written summary
Doubled haploid lines 3-3-3 showed no symptoms of clubroot.
white head cabbage e0 symptoms of disease e3 Verbatim
e0 “Plasmodiophora brassicae Wor. is the one of the causative agent of disease of the family of Brassicaceae, that results in decrease of white head cabbage yield up to 10-60% ”
✓ located verbatim in the source · abstract, characters 0–171 e3 “The plants of the lines 3-3-3 did not exhibit any symptoms of disease ”
✓ located verbatim in the source · abstract, characters 874–943 Other claims from this paper (9) Observation observed original result measured Claim · model-written summary
Disease development in the field trial of the hybrid combinations varied from 0 to 25%.
white head cabbage e0 disease development e6 Verbatim
e0 “Plasmodiophora brassicae Wor. is the one of the causative agent of disease of the family of Brassicaceae, that results in decrease of white head cabbage yield up to 10-60% ”
✓ located verbatim in the source · abstract, characters 0–171 e6 “The disease distribution reached 80% but disease development varied from 0 to 25% ”
✓ located verbatim in the source · abstract, characters 1759–1840 Other claims from this paper (9) Salt Tolerance of Different Cultivars of Chickpea as Influenced by Zinc Fertilization 9 Show all 9 → Observation observed original result measured Claim · model-written summary
With zinc application, the corresponding KPG 70 grain yield loss was 41.45 per cent.
Not reported Direction
Verbatim
e0 “41.45 per cent. ”
✓ located verbatim in the source · abstract, characters 819–834 t0 “Chickpea ”
✓ located verbatim in the source · title, characters 41–49 e1 “decrease in grain yield at ESP 20.8 was 82.76 per cent in Phule G5 ”
✓ located verbatim in the source · abstract, characters 390–456 Other claims from this paper (19) Intervention effect At ESP 20.8, Phule G5 grain yield decreased 82.76 per cent from normal conditions. Intervention effect At ESP 20.8, L550 grain yield decreased 47.45 per cent. Intervention effect At ESP 20.8, GNG 146 grain yield decreased 60.38 per cent. Intervention effect At ESP 20.8, ICCC 32 grain yield decreased 49.87 per cent. Intervention effect At ESP 20.8, BG261 grain yield decreased 52.90 per cent. Intervention effect At ESP 20.8, JG 315 grain yield decreased 52.72 per cent. Intervention effect At ESP 20.8, BGM 413 grain yield decreased 80.95 per cent. Intervention effect At ESP 20.8, Radhey grain yield decreased 80.31 per cent. Intervention effect At ESP 20.8, KPG 24 grain yield decreased 64.46 per cent. Intervention effect At ESP 20.8, KPG 70 grain yield decreased 58.73 per cent. Intervention effect Zinc application reduced the corresponding grain yield loss for Phule G5 to 64.48 per cent. Observation With zinc application, the corresponding L550 grain yield loss was 34.28 per cent. Observation With zinc application, the corresponding GNG 146 grain yield loss was 43.13 per cent. Observation With zinc application, the corresponding ICCC 32 grain yield loss was 34.94 per cent. Observation With zinc application, the corresponding BG261 grain yield loss was 36.76 per cent. Observation With zinc application, the corresponding JG 315 grain yield loss was 36.18 per cent. Observation With zinc application, the corresponding BGM 413 grain yield loss was 61.85 per cent. Observation With zinc application, the corresponding Radhey grain yield loss was 61.34 per cent. Observation With zinc application, the corresponding KPG 24 grain yield loss was 44.15 per cent. Observation observed original result measured Claim · model-written summary
With zinc application, the corresponding KPG 24 grain yield loss was 44.15 per cent.
Not reported Direction
Verbatim
e0 “44.15 and 41.45 per cent. ”
✓ located verbatim in the source · abstract, characters 809–834 t0 “Chickpea ”
✓ located verbatim in the source · title, characters 41–49 e1 “decrease in grain yield at ESP 20.8 was 82.76 per cent in Phule G5 ”
✓ located verbatim in the source · abstract, characters 390–456 Other claims from this paper (19) Intervention effect At ESP 20.8, Phule G5 grain yield decreased 82.76 per cent from normal conditions. Intervention effect At ESP 20.8, L550 grain yield decreased 47.45 per cent. Intervention effect At ESP 20.8, GNG 146 grain yield decreased 60.38 per cent. Intervention effect At ESP 20.8, ICCC 32 grain yield decreased 49.87 per cent. Intervention effect At ESP 20.8, BG261 grain yield decreased 52.90 per cent. Intervention effect At ESP 20.8, JG 315 grain yield decreased 52.72 per cent. Intervention effect At ESP 20.8, BGM 413 grain yield decreased 80.95 per cent. Intervention effect At ESP 20.8, Radhey grain yield decreased 80.31 per cent. Intervention effect At ESP 20.8, KPG 24 grain yield decreased 64.46 per cent. Intervention effect At ESP 20.8, KPG 70 grain yield decreased 58.73 per cent. Intervention effect Zinc application reduced the corresponding grain yield loss for Phule G5 to 64.48 per cent. Observation With zinc application, the corresponding L550 grain yield loss was 34.28 per cent. Observation With zinc application, the corresponding GNG 146 grain yield loss was 43.13 per cent. Observation With zinc application, the corresponding ICCC 32 grain yield loss was 34.94 per cent. Observation With zinc application, the corresponding BG261 grain yield loss was 36.76 per cent. Observation With zinc application, the corresponding JG 315 grain yield loss was 36.18 per cent. Observation With zinc application, the corresponding BGM 413 grain yield loss was 61.85 per cent. Observation With zinc application, the corresponding Radhey grain yield loss was 61.34 per cent. Observation With zinc application, the corresponding KPG 70 grain yield loss was 41.45 per cent. Observation observed original result measured Claim · model-written summary
With zinc application, the corresponding Radhey grain yield loss was 61.34 per cent.
Not reported Direction
Verbatim
e0 “61.34, 44.15 and 41.45 per cent. ”
✓ located verbatim in the source · abstract, characters 802–834 t0 “Chickpea ”
✓ located verbatim in the source · title, characters 41–49 e1 “decrease in grain yield at ESP 20.8 was 82.76 per cent in Phule G5 ”
✓ located verbatim in the source · abstract, characters 390–456 Other claims from this paper (19) Intervention effect At ESP 20.8, Phule G5 grain yield decreased 82.76 per cent from normal conditions. Intervention effect At ESP 20.8, L550 grain yield decreased 47.45 per cent. Intervention effect At ESP 20.8, GNG 146 grain yield decreased 60.38 per cent. Intervention effect At ESP 20.8, ICCC 32 grain yield decreased 49.87 per cent. Intervention effect At ESP 20.8, BG261 grain yield decreased 52.90 per cent. Intervention effect At ESP 20.8, JG 315 grain yield decreased 52.72 per cent. Intervention effect At ESP 20.8, BGM 413 grain yield decreased 80.95 per cent. Intervention effect At ESP 20.8, Radhey grain yield decreased 80.31 per cent. Intervention effect At ESP 20.8, KPG 24 grain yield decreased 64.46 per cent. Intervention effect At ESP 20.8, KPG 70 grain yield decreased 58.73 per cent. Intervention effect Zinc application reduced the corresponding grain yield loss for Phule G5 to 64.48 per cent. Observation With zinc application, the corresponding L550 grain yield loss was 34.28 per cent. Observation With zinc application, the corresponding GNG 146 grain yield loss was 43.13 per cent. Observation With zinc application, the corresponding ICCC 32 grain yield loss was 34.94 per cent. Observation With zinc application, the corresponding BG261 grain yield loss was 36.76 per cent. Observation With zinc application, the corresponding JG 315 grain yield loss was 36.18 per cent. Observation With zinc application, the corresponding BGM 413 grain yield loss was 61.85 per cent. Observation With zinc application, the corresponding KPG 24 grain yield loss was 44.15 per cent. Observation With zinc application, the corresponding KPG 70 grain yield loss was 41.45 per cent. Changes in yield and its structure elements of winter bread wheat depending on the conditions of a moisture supply and a genotype 9 Show all 9 → Observation observed original result negative measured Claim · model-written summary
Winter wheat yield was 39.4% lower in 2019 than 2017.
Verbatim
t0 “winter bread wheat ”
✓ located verbatim in the source · title, characters 47–65 e0 “The yield decrease amounted to 39.4% in 2019 vs. 2017 ”
✓ located verbatim in the source · abstract, characters 1025–1078 e1 “The yield decrease amounted to 39.4% in 2019 vs. 2017 ”
✓ located verbatim in the source · abstract, characters 1025–1078 Other claims from this paper (15) Observation observed original result negative measured Claim · model-written summary
Productive head number was 37.2% lower in 2019 than 2017.
productive heads e0 Verbatim
t0 “winter bread wheat ”
✓ located verbatim in the source · title, characters 47–65 e0 “a decrease in the number of sprouted plants and productive heads on 50.5% and 37.2% ”
✓ located verbatim in the source · abstract, characters 1094–1177 e1 “The yield decrease amounted to 39.4% in 2019 vs. 2017 ”
✓ located verbatim in the source · abstract, characters 1025–1078 Other claims from this paper (15) Observation observed original result negative measured Claim · model-written summary
Sprouted plant number was 50.5% lower in 2019 than 2017.
number of sprouted plants e0 Verbatim
t0 “winter bread wheat ”
✓ located verbatim in the source · title, characters 47–65 e0 “a decrease in the number of sprouted plants and productive heads on 50.5% and 37.2% ”
✓ located verbatim in the source · abstract, characters 1094–1177 e1 “The yield decrease amounted to 39.4% in 2019 vs. 2017 ”
✓ located verbatim in the source · abstract, characters 1025–1078 Other claims from this paper (15) Implications of 1.5 and 2.0 ºC additional warming for wheat yield using a gridded modeling approach 8 Show all 8 → Observation observed original result negative projected Claim · model-written summary
Projected wheat yield changes by 3.2 in Punjab under 1.5 ºC additional warming.
1.5 and 2.0 ºC additional warming e0 Verbatim
e0 “The projected changes in temperature and precipitation will decrease the wheat yield by 3.2 and 4.7% in Punjab, 17.8% and 13.8% in Sindh province under 1.5 and 2.0 ºC additional warming, respectively. However, the wheat yield will increase by 4.7 and 13% in Khyber Pakhtunkhwa and 9.4 and 15.3% in Baluchistan under 1.5 and 2.0 ºC additional warming, respectively. ”
✓ located verbatim in the source · abstract, characters 1260–1624 Other claims from this paper (13) Observation observed original result negative projected Claim · model-written summary
Projected wheat yield changes by 4.7% in Punjab under 2.0 ºC additional warming.
1.5 and 2.0 ºC additional warming e0 Verbatim
e0 “The projected changes in temperature and precipitation will decrease the wheat yield by 3.2 and 4.7% in Punjab, 17.8% and 13.8% in Sindh province under 1.5 and 2.0 ºC additional warming, respectively. However, the wheat yield will increase by 4.7 and 13% in Khyber Pakhtunkhwa and 9.4 and 15.3% in Baluchistan under 1.5 and 2.0 ºC additional warming, respectively. ”
✓ located verbatim in the source · abstract, characters 1260–1624 Other claims from this paper (13) Observation observed original result negative projected Claim · model-written summary
Projected wheat yield changes by 17.8% in Sindh province under 1.5 ºC additional warming.
1.5 and 2.0 ºC additional warming e0 Verbatim
e0 “The projected changes in temperature and precipitation will decrease the wheat yield by 3.2 and 4.7% in Punjab, 17.8% and 13.8% in Sindh province under 1.5 and 2.0 ºC additional warming, respectively. However, the wheat yield will increase by 4.7 and 13% in Khyber Pakhtunkhwa and 9.4 and 15.3% in Baluchistan under 1.5 and 2.0 ºC additional warming, respectively. ”
✓ located verbatim in the source · abstract, characters 1260–1624 Other claims from this paper (13) Estimation of Yield Decrease of Rice due to Weeds in Dry Sowing Culture 7 Show all 7 → Observation observed original result measured Claim · model-written summary
The relation between early weed mass and yield could not be resolved.
Verbatim
t0 “Rice ”
✓ located verbatim in the source · title, characters 32–36 e0 “生育初期における雑草量と収量との関係は明らかにし得なかつた ”
✓ located verbatim in the source · abstract, characters 526–555 Other claims from this paper (8) Observation observed original result measured Claim · model-written summary
The mature weed mass– yield relation was y = −0.008x + 48.74.
Verbatim
t0 “Rice ”
✓ located verbatim in the source · title, characters 32–36 e0 “y=-0.008x+48.74という式が得られた ”
✓ located verbatim in the source · abstract, characters 373–397 Other claims from this paper (8) Observation observed original result negative measured Claim · model-written summary
Weeds also shortened rice panicles.
Verbatim
t0 “Rice ”
✓ located verbatim in the source · title, characters 32–36 e0 “ついで穂長減として ”
✓ located verbatim in the source · abstract, characters 632–641 Other claims from this paper (8) Integrated Assessment of Near-Surface Ozone Impacts on Rice Yield and Sustainable Cropping Strategies in Pearl River Delta (2015–2023) 7 Show all 7 → Observation observed original result negative simulated Claim · model-written summary
Economic losses from rice yield loss exceeded CNY 844 million.
decrease inferred e6 Verbatim
e6 “Absolute yield losses totaled approximately 333,000 tons per year, equivalent to the caloric needs of 2.69 million people, with economic losses exceeding CNY 844 million ”
✓ located verbatim in the source · abstract, characters 718–887 t0 “Near-Surface Ozone Impacts on Rice Yield ”
✓ located verbatim in the source · title, characters 25–65 Other claims from this paper (13) Observation observed original result negative simulated Claim · model-written summary
Absolute rice yield losses totaled about 333,000 tons per year.
Absolute yield losses e6 decrease inferred e6 333,000 tons per year e6 Verbatim
e6 “Absolute yield losses totaled approximately 333,000 tons per year, equivalent to the caloric needs of 2.69 million people, with economic losses exceeding CNY 844 million ”
✓ located verbatim in the source · abstract, characters 718–887 t0 “Near-Surface Ozone Impacts on Rice Yield ”
✓ located verbatim in the source · title, characters 25–65 Other claims from this paper (13) Observation observed original result negative simulated Claim · model-written summary
Zhaoqing and Jiangmen each suffered over 100,000 tons of annual rice yield losses.
decrease inferred e4 Zhaoqing and Jiangmen e4 Verbatim
e4 “Vulnerability hotspots were identified in Zhaoqing and Jiangmen, each suffering over 100,000 tons of annual losses ”
✓ located verbatim in the source · abstract, characters 889–1003 t0 “Near-Surface Ozone Impacts on Rice Yield ”
✓ located verbatim in the source · title, characters 25–65 Other claims from this paper (13) EFFECT OF POWDERY MILDEW (Erysiphe graminis D.C. f.sp. tritici Marchal) ATTACK ON YIELD AND PHISICAL PARAMETERS OF WHEAT (Triticum aestivum ssp. vulgare ) GRAIN QUALITY 6 Show all 6 → Observation observed original result negative measured Claim · model-written summary
Marija yield decrease d by 20.8% on average.
Verbatim
e0 “The average decrease of the most sensitive cultivar (Marija) was 20.8% for yield , 2.6% for hectolitre weight and 13.1% for TKW. ”
✓ located verbatim in the source · abstract, characters 434–561 t0 “Triticum aestivum ssp. vulgare
✓ located verbatim in the source · title, characters 122–152 Other claims from this paper (11) Observation observed original result negative measured Claim · model-written summary
Under strong powdery mildew attack, the most sensitive cultivar lost 36.4% yield in 1999.
Verbatim
e0 “During a strong attack of powdery mildew this decrease for the most sensitive cultivar was 36.4% for yield in 1999 ”
✓ located verbatim in the source · abstract, characters 562–676 t0 “Triticum aestivum ssp. vulgare
✓ located verbatim in the source · title, characters 122–152 Other claims from this paper (11) Observation observed original result negative measured Claim · model-written summary
Marija TKW decrease d by 13.1% on average.
Verbatim
e0 “The average decrease of the most sensitive cultivar (Marija) was 20.8% for yield , 2.6% for hectolitre weight and 13.1% for TKW. ”
✓ located verbatim in the source · abstract, characters 434–561 t0 “Triticum aestivum ssp. vulgare
✓ located verbatim in the source · title, characters 122–152 Other claims from this paper (11) Yield, Chemical Composition and Nutritive Value of PC-6 Jowar (Sorghum bicolor ) at Different Stages of Maturity 6 Show all 6 → Observation observed original result negative measured Claim · model-written summary
CP decrease d from T1 to T2.
Verbatim
e0 “There was sn increase in DM and CF and decrease In CP, EE, NFE and total ash from T1 to T2 stage. ”
✓ located verbatim in the source · abstract, characters 197–294 e1 “PC-6 jowar (Sorghum bicolor ) ”
✓ located verbatim in the source · abstract, characters 55–83 Other claims from this paper (11) Observation observed original result negative measured Claim · model-written summary
EE decrease d from T1 to T2.
Verbatim
e0 “There was sn increase in DM and CF and decrease In CP, EE, NFE and total ash from T1 to T2 stage. ”
✓ located verbatim in the source · abstract, characters 197–294 e1 “PC-6 jowar (Sorghum bicolor ) ”
✓ located verbatim in the source · abstract, characters 55–83 Other claims from this paper (11) Observation observed original result negative measured Claim · model-written summary
NFE decrease d from T1 to T2.
Verbatim
e0 “There was sn increase in DM and CF and decrease In CP, EE, NFE and total ash from T1 to T2 stage. ”
✓ located verbatim in the source · abstract, characters 197–294 e1 “PC-6 jowar (Sorghum bicolor ) ”
✓ located verbatim in the source · abstract, characters 55–83 Other claims from this paper (11) 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.
Phleum pratense
Lolium arundinaceum
Dianthus caryophyllus.jpg?width=60){kind=small}
Plasmodiophora brassicae
Cicer arietinum
Triticum aestivum
Oryza sativa
Sorghum bicolor