Search claims · PlantClaims

Effect of Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum 6

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

The most intense blight damage decreased Odysei chickpea yield by 18.1%.

Taxon: Cicer arietinumCicer arietinumt0
Material: Odyseie1
Treatment: the most intense damagee1
Interactor: Ascochyta rabieiAscochyta rabieit0pathogen
Outcome: yielde1
Direction: decreasee1
Value: 18.1%e1

Not reportedComparator

Verbatim

t0
“Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum”
✓ located verbatim in the source · title, characters 10–86

e1
“The YeS Alunt variety, in the variant with the most intense damage, showed a decrease in yield by 19.1%, and the Odysei variety by 18.1%”
✓ located verbatim in the source · abstract, characters 1969–2105

Title

Effect of Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum

S. E. Okrushko; P. N. Verheles; T. S. Aralova Regulatory Mechanisms in Biosystems 2025. doi:10.15421/0225001

Other claims from this paper (14)

Intervention effect Chickpea plants diseased with Ascochyta rabiei had a smaller number and mass of nodules.
Intervention effect In diseased YeS Alunt plants the mass of active nodules was 25% below the control in the budding phase.
Intervention effect In diseased YeS Alunt plants the mass of active nodules was 40% below the control in the flowering phase.
Intervention effect In diseased Odysei plants the mass of active nodules was 38% below the control in the budding phase.
Intervention effect In diseased Odysei plants the mass of active nodules was 28% below the control in the flowering phase.
Observation Over two years the mean chickpea yield was 2.25 t/ha in the YeS Alunt variety.
Observation Over two years the mean chickpea yield was 2.21 t/ha in the Odysei variety.
Intervention effect A weak degree of ascochyta blight decreased YeS Alunt chickpea yield by 5.3%.
Intervention effect A weak degree of ascochyta blight decreased Odysei chickpea yield by 7.2%.
Intervention effect An average degree of ascochyta blight damage reduced YeS Alunt chickpea yield by 12.0%.
Intervention effect An average degree of ascochyta blight damage reduced Odysei chickpea yield by 11.3%.
Intervention effect The most intense blight damage decreased YeS Alunt chickpea yield by 19.1%.
Association Chickpea grain yield showed a parallel dependence on the degree of ascochyta blight infection, following the pattern of effect on the symbiotic apparatus.
Observation The YeS Alunt variety formed a larger number and weight of nodules than the other variety.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

A weak degree of ascochyta blight decreased Odysei chickpea yield by 7.2%.

Taxon: Cicer arietinumCicer arietinumt0
Material: Odyseie1
Treatment: a weak degree of ascochyta blighte1
Interactor: Ascochyta rabieiAscochyta rabieit0pathogen
Outcome: yielde1
Direction: decreasee1
Value: 7.2%e1

Not reportedComparator

Verbatim

t0
“Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum”
✓ located verbatim in the source · title, characters 10–86

e1
“Chickpea plants with a weak degree of ascochyta blight at harvest showed a decrease in yield by 5.3% (YeS Alunt) and 7.2% (Odysei)”
✓ located verbatim in the source · abstract, characters 1709–1839

Title

Effect of Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum

S. E. Okrushko; P. N. Verheles; T. S. Aralova Regulatory Mechanisms in Biosystems 2025. doi:10.15421/0225001

Other claims from this paper (14)

Intervention effect Chickpea plants diseased with Ascochyta rabiei had a smaller number and mass of nodules.
Intervention effect In diseased YeS Alunt plants the mass of active nodules was 25% below the control in the budding phase.
Intervention effect In diseased YeS Alunt plants the mass of active nodules was 40% below the control in the flowering phase.
Intervention effect In diseased Odysei plants the mass of active nodules was 38% below the control in the budding phase.
Intervention effect In diseased Odysei plants the mass of active nodules was 28% below the control in the flowering phase.
Observation Over two years the mean chickpea yield was 2.25 t/ha in the YeS Alunt variety.
Observation Over two years the mean chickpea yield was 2.21 t/ha in the Odysei variety.
Intervention effect A weak degree of ascochyta blight decreased YeS Alunt chickpea yield by 5.3%.
Intervention effect An average degree of ascochyta blight damage reduced YeS Alunt chickpea yield by 12.0%.
Intervention effect An average degree of ascochyta blight damage reduced Odysei chickpea yield by 11.3%.
Intervention effect The most intense blight damage decreased YeS Alunt chickpea yield by 19.1%.
Intervention effect The most intense blight damage decreased Odysei chickpea yield by 18.1%.
Association Chickpea grain yield showed a parallel dependence on the degree of ascochyta blight infection, following the pattern of effect on the symbiotic apparatus.
Observation The YeS Alunt variety formed a larger number and weight of nodules than the other variety.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

The most intense blight damage decreased YeS Alunt chickpea yield by 19.1%.

Taxon: Cicer arietinumCicer arietinumt0
Material: YeS Alunte1
Treatment: the most intense damagee1
Interactor: Ascochyta rabieiAscochyta rabieit0pathogen
Outcome: yielde1
Direction: decreasee1
Value: 19.1%e1

Not reportedComparator

Verbatim

t0
“Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum”
✓ located verbatim in the source · title, characters 10–86

e1
“The YeS Alunt variety, in the variant with the most intense damage, showed a decrease in yield by 19.1%, and the Odysei variety by 18.1%”
✓ located verbatim in the source · abstract, characters 1969–2105

Title

Effect of Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum

S. E. Okrushko; P. N. Verheles; T. S. Aralova Regulatory Mechanisms in Biosystems 2025. doi:10.15421/0225001

Other claims from this paper (14)

Intervention effect Chickpea plants diseased with Ascochyta rabiei had a smaller number and mass of nodules.
Intervention effect In diseased YeS Alunt plants the mass of active nodules was 25% below the control in the budding phase.
Intervention effect In diseased YeS Alunt plants the mass of active nodules was 40% below the control in the flowering phase.
Intervention effect In diseased Odysei plants the mass of active nodules was 38% below the control in the budding phase.
Intervention effect In diseased Odysei plants the mass of active nodules was 28% below the control in the flowering phase.
Observation Over two years the mean chickpea yield was 2.25 t/ha in the YeS Alunt variety.
Observation Over two years the mean chickpea yield was 2.21 t/ha in the Odysei variety.
Intervention effect A weak degree of ascochyta blight decreased YeS Alunt chickpea yield by 5.3%.
Intervention effect A weak degree of ascochyta blight decreased Odysei chickpea yield by 7.2%.
Intervention effect An average degree of ascochyta blight damage reduced YeS Alunt chickpea yield by 12.0%.
Intervention effect An average degree of ascochyta blight damage reduced Odysei chickpea yield by 11.3%.
Intervention effect The most intense blight damage decreased Odysei chickpea yield by 18.1%.
Association Chickpea grain yield showed a parallel dependence on the degree of ascochyta blight infection, following the pattern of effect on the symbiotic apparatus.
Observation The YeS Alunt variety formed a larger number and weight of nodules than the other variety.

Quantitative effects of potassium application on potato tuber yield, quality, and potassium uptake in China: A meta-analysis 6

Show all 6 →

Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Potassium application decreased reducing sugar content by 16.1 %.

Taxon: PotatoSolanum tuberosumt0
Treatment: K applicatione0
Outcome: reducing sugar contente0
Direction: decreasee0
Value: 16.1 %e0
Comparator: no K applicatione0

Verbatim

e0
“K application could significantly increase the yield (19.2 %), starch content (6.7 %), crude protein content (7.9 %), vitamin C content (9.6 %), and K uptake (40.5 %), and significantly decrease the reducing sugar content (16.1 %) compared with no K application.”
✓ located verbatim in the source · abstract, characters 512–774

t0
“Potato”
✓ located after whitespace/quote normalisation · title, characters 49–55

Title

Quantitative effects of potassium application on potato tuber yield, quality, and potassium uptake in China: A meta-analysis

Fan Zhang; Xiukang Wang; Hao He; et al. Field Crops Research 2025. doi:10.1016/j.fcr.2025.110061

Other claims from this paper (14)

Intervention effect Potassium application increased potato yield by 19.2 %.
Intervention effect Potassium application increased starch content by 6.7 %.
Intervention effect Potassium application increased crude protein content by 7.9 %.
Intervention effect Potassium application increased vitamin C content by 9.6 %.
Intervention effect Potassium application increased K uptake by 40.5 %.
Association Higher rainfall and temperature favored optimal increases in tuber yield and K uptake but did not favor quality.
Intervention effect KNO 3 application improved yield more than K 2 SO 4 and KCl.
Intervention effect Split K 2 SO 4 application improved starch and vitamin C at the stated rate and density.
Intervention effect Split K 2 SO 4 application improved K uptake at the stated rate and density.
Recommendation The optimal potassium rate for northeast China was 76.1 kg ha –1.
Recommendation The optimal potassium rate for northwest China was 170.3 kg ha –1.
Recommendation The optimal potassium rate for southwest China was 168.7 kg ha –1.
Recommendation The optimal potassium rate for north China was 225.8 kg ha –1.
Recommendation The optimal potassium rate for southeast China was 146.6 kg ha –1.

Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Potassium application increased potato yield by 19.2 %.

Taxon: PotatoSolanum tuberosumt0
Treatment: K applicatione0
Outcome: yielde0
Direction: increasee0
Value: 19.2 %e0
Comparator: no K applicatione0

Verbatim

e0
“K application could significantly increase the yield (19.2 %), starch content (6.7 %), crude protein content (7.9 %), vitamin C content (9.6 %), and K uptake (40.5 %), and significantly decrease the reducing sugar content (16.1 %) compared with no K application.”
✓ located verbatim in the source · abstract, characters 512–774

t0
“Potato”
✓ located after whitespace/quote normalisation · title, characters 49–55

Title

Quantitative effects of potassium application on potato tuber yield, quality, and potassium uptake in China: A meta-analysis

Fan Zhang; Xiukang Wang; Hao He; et al. Field Crops Research 2025. doi:10.1016/j.fcr.2025.110061

Other claims from this paper (14)

Intervention effect Potassium application increased starch content by 6.7 %.
Intervention effect Potassium application increased crude protein content by 7.9 %.
Intervention effect Potassium application increased vitamin C content by 9.6 %.
Intervention effect Potassium application increased K uptake by 40.5 %.
Intervention effect Potassium application decreased reducing sugar content by 16.1 %.
Association Higher rainfall and temperature favored optimal increases in tuber yield and K uptake but did not favor quality.
Intervention effect KNO 3 application improved yield more than K 2 SO 4 and KCl.
Intervention effect Split K 2 SO 4 application improved starch and vitamin C at the stated rate and density.
Intervention effect Split K 2 SO 4 application improved K uptake at the stated rate and density.
Recommendation The optimal potassium rate for northeast China was 76.1 kg ha –1.
Recommendation The optimal potassium rate for northwest China was 170.3 kg ha –1.
Recommendation The optimal potassium rate for southwest China was 168.7 kg ha –1.
Recommendation The optimal potassium rate for north China was 225.8 kg ha –1.
Recommendation The optimal potassium rate for southeast China was 146.6 kg ha –1.

Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Potassium application increased starch content by 6.7 %.

Taxon: PotatoSolanum tuberosumt0
Treatment: K applicatione0
Outcome: starch contente0
Direction: increasee0
Value: 6.7 %e0
Comparator: no K applicatione0

Verbatim

e0
“K application could significantly increase the yield (19.2 %), starch content (6.7 %), crude protein content (7.9 %), vitamin C content (9.6 %), and K uptake (40.5 %), and significantly decrease the reducing sugar content (16.1 %) compared with no K application.”
✓ located verbatim in the source · abstract, characters 512–774

t0
“Potato”
✓ located after whitespace/quote normalisation · title, characters 49–55

Title

Quantitative effects of potassium application on potato tuber yield, quality, and potassium uptake in China: A meta-analysis

Fan Zhang; Xiukang Wang; Hao He; et al. Field Crops Research 2025. doi:10.1016/j.fcr.2025.110061

Other claims from this paper (14)

Intervention effect Potassium application increased potato yield by 19.2 %.
Intervention effect Potassium application increased crude protein content by 7.9 %.
Intervention effect Potassium application increased vitamin C content by 9.6 %.
Intervention effect Potassium application increased K uptake by 40.5 %.
Intervention effect Potassium application decreased reducing sugar content by 16.1 %.
Association Higher rainfall and temperature favored optimal increases in tuber yield and K uptake but did not favor quality.
Intervention effect KNO 3 application improved yield more than K 2 SO 4 and KCl.
Intervention effect Split K 2 SO 4 application improved starch and vitamin C at the stated rate and density.
Intervention effect Split K 2 SO 4 application improved K uptake at the stated rate and density.
Recommendation The optimal potassium rate for northeast China was 76.1 kg ha –1.
Recommendation The optimal potassium rate for northwest China was 170.3 kg ha –1.
Recommendation The optimal potassium rate for southwest China was 168.7 kg ha –1.
Recommendation The optimal potassium rate for north China was 225.8 kg ha –1.
Recommendation The optimal potassium rate for southeast China was 146.6 kg ha –1.

Biometric Response of Sugarcane Genotypes at Different Planting Times under Semi-Arid Climatic Conditions of Faisalabad 6

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Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

For CPF-250, 30 March planting reduced cane yield relative to 15 September planting; the reported paired percentages are 55.63%, 53.80%.

Taxon: Sugarcanet0
Material: CPF-250e1
Treatment: 30 march planting datee1
Outcome: cane yielde0
Direction: decreasee1
Value: 55.63%, 53.80%e0
Comparator: 15 September planting timee1

Verbatim

e0
“cane yield (55.63%, 53.80%)”
✓ located verbatim in the source · abstract, characters 1171–1198

e1
“There is a decrease in germination (38.84%, 38.12%), tillers (55.48%, 51.50%), number of millable canes (46.33%, 44.09%), cane yield (55.63%, 53.80%), sugar recovery (10.47%, 58.75%) and sugar yield (62.24%, 10.34%) at 30 march planting date in CPF-250 as compared with 15 September planting time”
✓ located verbatim in the source · abstract, characters 1049–1345

t0
“Sugarcane”
✓ located verbatim in the source · title, characters 22–31

Title

Biometric Response of Sugarcane Genotypes at Different Planting Times under Semi-Arid Climatic Conditions of Faisalabad

Muhammad Kashif Munir; Abdul Khaliq; Mahmood ul Hassan; et al. Planta Animalia 2025. doi:10.71454/pa.004.04.0146

Other claims from this paper (14)

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

For CPF-250, 30 March planting reduced sugar yield relative to 15 September planting; the reported paired percentages are 62.24%, 10.34%.

Taxon: Sugarcanet0
Material: CPF-250e1
Treatment: 30 march planting datee1
Outcome: sugar yielde0
Direction: decreasee1
Value: 62.24%, 10.34%e0
Comparator: 15 September planting timee1

Verbatim

e0
“sugar yield (62.24%, 10.34%)”
✓ located verbatim in the source · abstract, characters 1236–1264

e1
“There is a decrease in germination (38.84%, 38.12%), tillers (55.48%, 51.50%), number of millable canes (46.33%, 44.09%), cane yield (55.63%, 53.80%), sugar recovery (10.47%, 58.75%) and sugar yield (62.24%, 10.34%) at 30 march planting date in CPF-250 as compared with 15 September planting time”
✓ located verbatim in the source · abstract, characters 1049–1345

t0
“Sugarcane”
✓ located verbatim in the source · title, characters 22–31

Title

Biometric Response of Sugarcane Genotypes at Different Planting Times under Semi-Arid Climatic Conditions of Faisalabad

Muhammad Kashif Munir; Abdul Khaliq; Mahmood ul Hassan; et al. Planta Animalia 2025. doi:10.71454/pa.004.04.0146

Other claims from this paper (14)

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

For CPF-250, 30 March planting reduced germination relative to 15 September planting; the reported paired percentages are 38.84%, 38.12%.

Taxon: Sugarcanet0
Material: CPF-250e1
Treatment: 30 march planting datee1
Outcome: germinatione0
Direction: decreasee1
Value: 38.84%, 38.12%e0
Comparator: 15 September planting timee1

Verbatim

e0
“germination (38.84%, 38.12%)”
✓ located verbatim in the source · abstract, characters 1072–1100

e1
“There is a decrease in germination (38.84%, 38.12%), tillers (55.48%, 51.50%), number of millable canes (46.33%, 44.09%), cane yield (55.63%, 53.80%), sugar recovery (10.47%, 58.75%) and sugar yield (62.24%, 10.34%) at 30 march planting date in CPF-250 as compared with 15 September planting time”
✓ located verbatim in the source · abstract, characters 1049–1345

t0
“Sugarcane”
✓ located verbatim in the source · title, characters 22–31

Title

Biometric Response of Sugarcane Genotypes at Different Planting Times under Semi-Arid Climatic Conditions of Faisalabad

Muhammad Kashif Munir; Abdul Khaliq; Mahmood ul Hassan; et al. Planta Animalia 2025. doi:10.71454/pa.004.04.0146

Other claims from this paper (14)

Rethinking Variable Rate Seeding: Why Can Increasing Soybean Population Decrease Yield in Nutrient-Limited Soils? 6

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Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Increasing population from medium to high significantly decreased grain yield in low-potassium zones.

Taxon: soybeanGlycine maxe0
Treatment: highe0
Outcome: grain yielde0
Direction: decreasede0
Qualifier: low-fertility (low-K) MZse0
Comparator: mediume0

Verbatim

e0
“increasing the soybean population from medium to high in low-fertility (low-K) MZs significantly decreased grain yield”
✓ located verbatim in the source · abstract, characters 1136–1254

Title

Rethinking Variable Rate Seeding: Why Can Increasing Soybean Population Decrease Yield in Nutrient-Limited Soils?

Fábio Henrique Rojo Baio; Job Teixeira de Oliveira; Fernando França da Cunha; et al. Crops 2025. doi:10.3390/crops5060078

Other claims from this paper (5)

Observation Potassium was identified as the most growth-limiting soil nutrient.
Mechanism Intensified competition increased plant height.
Mechanism Intensified competition reduced root development and photosynthetic efficiency.
Intervention effect Moderate population in low-fertility zones yielded statistically equivalently to higher-fertility areas.
Recommendation The authors recommend maintaining a moderate population in nutrient-limited zones.

Mechanismauthor interpretationoriginal resultnegativemeasured

Claim · model-written summary

Intensified competition increased plant height.

Taxon: soybeanGlycine maxt0
Outcome: plant heighte0
Direction: increasede0
Qualifier: intensified intraspecific competitione0

Verbatim

e0
“intensified intraspecific competition, which promoted excessive vegetative growth (increased plant height)”
✓ located verbatim in the source · abstract, characters 1295–1401

t0
“Soybean”
✓ located verbatim in the source · title, characters 53–60

Title

Rethinking Variable Rate Seeding: Why Can Increasing Soybean Population Decrease Yield in Nutrient-Limited Soils?

Fábio Henrique Rojo Baio; Job Teixeira de Oliveira; Fernando França da Cunha; et al. Crops 2025. doi:10.3390/crops5060078

Other claims from this paper (5)

Observation Potassium was identified as the most growth-limiting soil nutrient.
Intervention effect Increasing population from medium to high significantly decreased grain yield in low-potassium zones.
Mechanism Intensified competition reduced root development and photosynthetic efficiency.
Intervention effect Moderate population in low-fertility zones yielded statistically equivalently to higher-fertility areas.
Recommendation The authors recommend maintaining a moderate population in nutrient-limited zones.

Mechanismauthor interpretationoriginal resultnegativemeasured

Claim · model-written summary

Intensified competition reduced root development and photosynthetic efficiency.

Taxon: soybeanGlycine maxt0
Outcome: root development and photosynthetic efficiencye0
Qualifier: at the expense ofe0

Not reportedDirection

Verbatim

e0
“at the expense of root development and photosynthetic efficiency”
✓ located verbatim in the source · abstract, characters 1402–1466

t0
“Soybean”
✓ located verbatim in the source · title, characters 53–60

Title

Rethinking Variable Rate Seeding: Why Can Increasing Soybean Population Decrease Yield in Nutrient-Limited Soils?

Fábio Henrique Rojo Baio; Job Teixeira de Oliveira; Fernando França da Cunha; et al. Crops 2025. doi:10.3390/crops5060078

Other claims from this paper (5)

Observation Potassium was identified as the most growth-limiting soil nutrient.
Intervention effect Increasing population from medium to high significantly decreased grain yield in low-potassium zones.
Mechanism Intensified competition increased plant height.
Intervention effect Moderate population in low-fertility zones yielded statistically equivalently to higher-fertility areas.
Recommendation The authors recommend maintaining a moderate population in nutrient-limited zones.

Switchgrass Steroidal Saponins Reduce Fungal Disease but Decrease Yeast Fermentation Yield 6

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Associationobservedoriginal resultmeasured

Claim · model-written summary

Saponins were among the strongest predictors of variation in rust infection and fermentation yield.

Taxon: SwitchgrassPanicum virgatumt0
Interactor: ruste0pathogen
Compound: saponinse0
Outcome: rust infection and fermentation yielde0

Not reportedDirection

Verbatim

e0
“saponins were among the most likely to explain variation in both rust infection and fermentation yield using random forest feature selection”
✓ located verbatim in the source · abstract, characters 948–1088

t0
“Switchgrass”
✓ located verbatim in the source · title, characters 0–11

Title

Switchgrass Steroidal Saponins Reduce Fungal Disease but Decrease Yeast Fermentation Yield

Acer VanWallendael; Xingxing Li; Dan Xie; et al. GCB Bioenergy 2025. doi:10.1111/gcbb.70097

Other claims from this paper (5)

Associationobservedoriginal resultmeasured

Claim · model-written summary

Switchgrass genotypes resistant to rust were also recalcitrant to yeast fermentation.

Taxon: switchgrassPanicum virgatume0
Material: switchgrass genotypese0
Interactor: fungal pathogene0pathogen
Outcome: recalcitrance to yeast fermentatione0

Not reportedDirection

Verbatim

e0
“the same switchgrass genotypes that showed high fungal pathogen resistance also showed recalcitrance to yeast fermentation”
✓ located verbatim in the source · abstract, characters 610–732

Title

Switchgrass Steroidal Saponins Reduce Fungal Disease but Decrease Yeast Fermentation Yield

Acer VanWallendael; Xingxing Li; Dan Xie; et al. GCB Bioenergy 2025. doi:10.1111/gcbb.70097

Other claims from this paper (5)

Associationobservedoriginal resultmeasured

Claim · model-written summary

Four saponins explained 57.9% of rust susceptibility variation.

Taxon: SwitchgrassPanicum virgatumt0
Interactor: ruste0pathogen
Compound: four of thesee0
Outcome: variation in rust susceptibilitye0
Value: 57.9%e0

Not reportedDirection

Verbatim

e0
“only four of these were sufficient to explain 57.9% of the variation in rust susceptibility”
✓ located verbatim in the source · abstract, characters 1099–1190

t0
“Switchgrass”
✓ located verbatim in the source · title, characters 0–11

Title

Switchgrass Steroidal Saponins Reduce Fungal Disease but Decrease Yeast Fermentation Yield

Acer VanWallendael; Xingxing Li; Dan Xie; et al. GCB Bioenergy 2025. doi:10.1111/gcbb.70097

Other claims from this paper (5)

Modeling Impacts of Climate Change and Adaptation Measures on Rice Growth in Hainan, China 6

Show all 6 →

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

early rice yield was projected to decrease by 6.2% in the 2050s without CO2 fertilization relative to baseline.

Taxon: riceOryza sativae0
Treatment: CO2 fertilization effect was not considerede0
Outcome: rice yieldse0
Direction: decreasee0
Value: 6.2%e0
Qualifier: 2050se0
Comparator: baseline periode0

Verbatim

e0
“The simulation results indicated that the early rice yields in the 2050s, 2070s, and 2090s were projected to decrease by 6.2%, 11.8%, and 20.0% when the CO2 fertilization effect was not considered, compared with the results of the baseline period, respectively, while late rice yields would decline by 9.9%, 23.4%, and 36.3% correspondingly.”
✓ located verbatim in the source · abstract, characters 1082–1423

Title

Modeling Impacts of Climate Change and Adaptation Measures on Rice Growth in Hainan, China

Rongchang Yang; Yahui Guo; Jiangwen Nie; et al. Sustainability 2025. doi:10.3390/su18010115

Other claims from this paper (11)

Intervention effect early rice yield was projected to decrease by 11.8% in the 2070s without CO2 fertilization relative to baseline.
Intervention effect early rice yield was projected to decrease by 20.0% in the 2090s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 9.9% in the 2050s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 23.4% in the 2070s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 36.3% in the 2090s without CO2 fertilization relative to baseline.
Intervention effect early rice yield in the 2090s increased 16.9% with CO2 fertilization.
Intervention effect late rice yield in the 2090s increased 6.2% with CO2 fertilization.
Intervention effect adjusting planting dates could increase early rice yield by 22.7%.
Intervention effect switching rice cultivars could increase early rice yield by 43.3%.
Intervention effect adjusting planting dates could increase late rice yield by 20.2%.
Intervention effect switching rice cultivars could increase late rice yield by 34.2%.

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

early rice yield was projected to decrease by 11.8% in the 2070s without CO2 fertilization relative to baseline.

Taxon: riceOryza sativae0
Treatment: CO2 fertilization effect was not considerede0
Outcome: rice yieldse0
Direction: decreasee0
Value: 11.8%e0
Qualifier: 2070se0
Comparator: baseline periode0

Verbatim

e0
“The simulation results indicated that the early rice yields in the 2050s, 2070s, and 2090s were projected to decrease by 6.2%, 11.8%, and 20.0% when the CO2 fertilization effect was not considered, compared with the results of the baseline period, respectively, while late rice yields would decline by 9.9%, 23.4%, and 36.3% correspondingly.”
✓ located verbatim in the source · abstract, characters 1082–1423

Title

Modeling Impacts of Climate Change and Adaptation Measures on Rice Growth in Hainan, China

Rongchang Yang; Yahui Guo; Jiangwen Nie; et al. Sustainability 2025. doi:10.3390/su18010115

Other claims from this paper (11)

Intervention effect early rice yield was projected to decrease by 6.2% in the 2050s without CO2 fertilization relative to baseline.
Intervention effect early rice yield was projected to decrease by 20.0% in the 2090s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 9.9% in the 2050s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 23.4% in the 2070s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 36.3% in the 2090s without CO2 fertilization relative to baseline.
Intervention effect early rice yield in the 2090s increased 16.9% with CO2 fertilization.
Intervention effect late rice yield in the 2090s increased 6.2% with CO2 fertilization.
Intervention effect adjusting planting dates could increase early rice yield by 22.7%.
Intervention effect switching rice cultivars could increase early rice yield by 43.3%.
Intervention effect adjusting planting dates could increase late rice yield by 20.2%.
Intervention effect switching rice cultivars could increase late rice yield by 34.2%.

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

early rice yield was projected to decrease by 20.0% in the 2090s without CO2 fertilization relative to baseline.

Taxon: riceOryza sativae0
Treatment: CO2 fertilization effect was not considerede0
Outcome: rice yieldse0
Direction: decreasee0
Value: 20.0%e0
Qualifier: 2090se0
Comparator: baseline periode0

Verbatim

e0
“The simulation results indicated that the early rice yields in the 2050s, 2070s, and 2090s were projected to decrease by 6.2%, 11.8%, and 20.0% when the CO2 fertilization effect was not considered, compared with the results of the baseline period, respectively, while late rice yields would decline by 9.9%, 23.4%, and 36.3% correspondingly.”
✓ located verbatim in the source · abstract, characters 1082–1423

Title

Modeling Impacts of Climate Change and Adaptation Measures on Rice Growth in Hainan, China

Rongchang Yang; Yahui Guo; Jiangwen Nie; et al. Sustainability 2025. doi:10.3390/su18010115

Other claims from this paper (11)

Intervention effect early rice yield was projected to decrease by 6.2% in the 2050s without CO2 fertilization relative to baseline.
Intervention effect early rice yield was projected to decrease by 11.8% in the 2070s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 9.9% in the 2050s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 23.4% in the 2070s without CO2 fertilization relative to baseline.
Intervention effect late rice yield was projected to decrease by 36.3% in the 2090s without CO2 fertilization relative to baseline.
Intervention effect early rice yield in the 2090s increased 16.9% with CO2 fertilization.
Intervention effect late rice yield in the 2090s increased 6.2% with CO2 fertilization.
Intervention effect adjusting planting dates could increase early rice yield by 22.7%.
Intervention effect switching rice cultivars could increase early rice yield by 43.3%.
Intervention effect adjusting planting dates could increase late rice yield by 20.2%.
Intervention effect switching rice cultivars could increase late rice yield by 34.2%.

A double-sigmoid approach for high-throughput phenotyping of winter wheat growth dynamics 6

Show all 6 →

Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The start decrease stage was highly correlated with yield in 2020 irrigated (r=0.53).

Taxon: winter wheatTriticum aestivumt0
Outcome: yielde4
Direction: higherinferrede4
Value: r=0.53e4
Setting: 2020 irrigatede4

Verbatim

t0
“winter wheat growth dynamics”
✓ located verbatim in the source · title, characters 61–89

e4
“the start decrease stage (SDS) was highly correlated with yield (r=0.53 in 2020 irrigated, p<0.001)”
✓ located verbatim in the source · abstract, characters 1131–1230

Title

A double-sigmoid approach for high-throughput phenotyping of winter wheat growth dynamics

Shannon Baker; Lei Zhao; Jose Landivar Scott; et al. Smart Agricultural Technology 2026. doi:10.1016/j.atech.2026.101948

Other claims from this paper (12)

Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The maximum decrease rate date was positively correlated with yield in 2019 dryland (r=0.55).

Taxon: winter wheatTriticum aestivumt0
Outcome: yielde5
Direction: higherinferrede5
Value: r=0.55e5
Setting: 2019 drylande5

Verbatim

t0
“winter wheat growth dynamics”
✓ located verbatim in the source · title, characters 61–89

e5
“The maximum decrease rate date (MDRD) was positively correlated with yield in 2019 dryland (r=0.55, p<0.001)”
✓ located verbatim in the source · abstract, characters 1232–1340

Title

A double-sigmoid approach for high-throughput phenotyping of winter wheat growth dynamics

Shannon Baker; Lei Zhao; Jose Landivar Scott; et al. Smart Agricultural Technology 2026. doi:10.1016/j.atech.2026.101948

Other claims from this paper (12)

Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The end decrease stage was positively correlated with grain yield in 2019 dryland (r=0.56).

Taxon: winter wheatTriticum aestivumt0
Outcome: grain yielde3
Direction: higherinferrede3
Value: r=0.56e3
Setting: 2019 drylande3

Verbatim

t0
“winter wheat growth dynamics”
✓ located verbatim in the source · title, characters 61–89

e3
“The end decrease stage (EDS) was correlated with grain yield (r=0.56 in 2019 dryland, and r=0.53 in 2020 irrigated, p<0.001)”
✓ located verbatim in the source · abstract, characters 1001–1125

Title

A double-sigmoid approach for high-throughput phenotyping of winter wheat growth dynamics

Shannon Baker; Lei Zhao; Jose Landivar Scott; et al. Smart Agricultural Technology 2026. doi:10.1016/j.atech.2026.101948

Other claims from this paper (12)

Effect of salt stress on morphological and yield attributing parameters of pepper (Capsicum annuum) genotypes 6

Show all 6 →

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

GC-222 had the smallest yield decrease versus control at higher salinity, 16.9%.

Taxon: peppert0
Material: GC-222e0
Treatment: higher salinity levelse1
Outcome: yielde1
Direction: reductione0
Value: 16.9%e0
Comparator: control conditionse1

Verbatim

e0
“minimum in GC-222, with only 16.9% reduction”
✓ located verbatim in the source · abstract, characters 1179–1223

e1
“percent decrease in yield at higher salinity levels in comparison to control conditions”
✓ located verbatim in the source · abstract, characters 1087–1174

t0
“pepper (Capsicum annuum) genotypes”
✓ located verbatim in the source · title, characters 75–109

Title

Effect of salt stress on morphological and yield attributing parameters of pepper (Capsicum annuum) genotypes

JASPREET KAUR; KULBIR SINGH; SALESH KUMAR JINDAL The Indian Journal of Agricultural Sciences 2026. doi:10.56093/ijas.v96i4.169281

Other claims from this paper (11)

Intervention effect Salinity significantly decreased plant height, internode length, and branch number.
Intervention effect Salinity significantly decreased root weight, fruit characteristics, fruit number, and yield.
Intervention effect Salinity delayed flowering onset in all genotypes.
Observation PAU-212 performed better than other genotypes under salt stress.
Observation YL-581 performed better than other genotypes under salt stress.
Observation SL-474 performed better than other genotypes under salt stress.
Observation PAU-212 had maximum yield at the highest salinity level, 519.8 g/plant.
Observation YL-581 followed PAU-212 in yield at the highest salinity level with 511.7 g/plant.
Intervention effect YL-581 had an 18.4% yield reduction at higher salinity versus control.
Intervention effect SL-474 had a 22.8% yield reduction at higher salinity versus control.
Recommendation The authors consider PAU-212, YL-581, and SL-474 suitable for salt tolerance studies and cultivation in salt affected regions.

Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Salinity significantly decreased root weight, fruit characteristics, fruit number, and yield.

Taxon: peppert0
Treatment: salinitye0
Outcome: root weight, fruit characteristics, fruit number and yielde0
Direction: decreasee0

Not reportedComparator

Verbatim

e0
“salinity caused a significant decrease in plant height, internode length, branch number, root weight, fruit characteristics, fruit number and yield.”
✓ located verbatim in the source · abstract, characters 593–741

t0
“pepper (Capsicum annuum) genotypes”
✓ located verbatim in the source · title, characters 75–109

Title

Effect of salt stress on morphological and yield attributing parameters of pepper (Capsicum annuum) genotypes

JASPREET KAUR; KULBIR SINGH; SALESH KUMAR JINDAL The Indian Journal of Agricultural Sciences 2026. doi:10.56093/ijas.v96i4.169281

Other claims from this paper (11)

Intervention effect Salinity significantly decreased plant height, internode length, and branch number.
Intervention effect Salinity delayed flowering onset in all genotypes.
Observation PAU-212 performed better than other genotypes under salt stress.
Observation YL-581 performed better than other genotypes under salt stress.
Observation SL-474 performed better than other genotypes under salt stress.
Observation PAU-212 had maximum yield at the highest salinity level, 519.8 g/plant.
Observation YL-581 followed PAU-212 in yield at the highest salinity level with 511.7 g/plant.
Intervention effect GC-222 had the smallest yield decrease versus control at higher salinity, 16.9%.
Intervention effect YL-581 had an 18.4% yield reduction at higher salinity versus control.
Intervention effect SL-474 had a 22.8% yield reduction at higher salinity versus control.
Recommendation The authors consider PAU-212, YL-581, and SL-474 suitable for salt tolerance studies and cultivation in salt affected regions.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

YL-581 had an 18.4% yield reduction at higher salinity versus control.

Taxon: peppert0
Material: YL-581e0
Treatment: higher salinity levelse1
Outcome: yielde1
Direction: decreasee1
Value: 18.4%e0
Comparator: control conditionse1

Verbatim

e0
“YL-581 (18.4%)”
✓ located verbatim in the source · abstract, characters 1237–1251

e1
“percent decrease in yield at higher salinity levels in comparison to control conditions”
✓ located verbatim in the source · abstract, characters 1087–1174

t0
“pepper (Capsicum annuum) genotypes”
✓ located verbatim in the source · title, characters 75–109

Title

Effect of salt stress on morphological and yield attributing parameters of pepper (Capsicum annuum) genotypes

JASPREET KAUR; KULBIR SINGH; SALESH KUMAR JINDAL The Indian Journal of Agricultural Sciences 2026. doi:10.56093/ijas.v96i4.169281

Other claims from this paper (11)

Intervention effect Salinity significantly decreased plant height, internode length, and branch number.
Intervention effect Salinity significantly decreased root weight, fruit characteristics, fruit number, and yield.
Intervention effect Salinity delayed flowering onset in all genotypes.
Observation PAU-212 performed better than other genotypes under salt stress.
Observation YL-581 performed better than other genotypes under salt stress.
Observation SL-474 performed better than other genotypes under salt stress.
Observation PAU-212 had maximum yield at the highest salinity level, 519.8 g/plant.
Observation YL-581 followed PAU-212 in yield at the highest salinity level with 511.7 g/plant.
Intervention effect GC-222 had the smallest yield decrease versus control at higher salinity, 16.9%.
Intervention effect SL-474 had a 22.8% yield reduction at higher salinity versus control.
Recommendation The authors consider PAU-212, YL-581, and SL-474 suitable for salt tolerance studies and cultivation in salt affected regions.

Effects of Planting Date and Density on Yield and It’s Components of Fritillaria thungergii MIQUEL 6

Show all 6 →

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

The Sep. 10 yield was 4 percent below Aug. 30.

Taxon: Fritillaria thungergii MIQUELt0
Treatment: Sep. 10 plote0
Outcome: decreasee0
Direction: decreasee0
Value: 4 percente0

Not reportedComparator

Verbatim

e0
“4 percent decrease in the Sep. 10 plot”
✓ located verbatim in the source · abstract, characters 950–988

t0
“Fritillaria thungergii MIQUEL”
✓ located verbatim in the source · title, characters 69–98

Title

Effects of Planting Date and Density on Yield and It’s Components of Fritillaria thungergii MIQUEL

In-Sik Choi; Jin-Tae Cho; Seok-Yong Son; et al. Korean Journal of Medicinal Crop Science 1996

Other claims from this paper (18)

Intervention effect Earlier planting dates led to earlier emergence.
Intervention effect A 50-day planting delay caused a 14-day emergence delay.
Observation Plant height was 22.7cms for the Aug. 20 plot.
Intervention effect Later planting produced shorter plants.
Intervention effect The Aug. 20 yield was 1 percent above the Aug. 30 yield.
Intervention effect The Sep. 20 yield was 26 percent below Aug. 30.
Intervention effect The Sep 30 yield was 35 percent below Aug. 30.
Intervention effect The Oct. 10 yield was 38 percent below Aug. 30.
Intervention effect Sparse planting delayed emergence by one to three days relative to 33 bulbs per square meter.
Observation At 33 bulbs per square meter, plant height was 21. 8cms.
Observation At 33 bulbs per square meter, shoot count was 6.1.
Intervention effect The 22-bulb plot had 0.4 more shoots than the 33-bulb plot.
Intervention effect The 17-bulb plot had 0.6 more shoots than the 33-bulb plot.
Intervention effect The 13-bulb plot had 0.5 more shoots than the 33-bulb plot.
Intervention effect The 33-bulb plot yielded 2 percent more than the 22-bulb plot.
Intervention effect The 17-bulb plot yielded 16 percent less than the 22-bulb plot.
Intervention effect The 13-bulb plot yielded 34 percent less than the 22-bulb plot.
Recommendation The authors recommend Aug. 25 and 22 bulbs per square meter for cultivation in the middle region.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

The Sep. 20 yield was 26 percent below Aug. 30.

Taxon: Fritillaria thungergii MIQUELt0
Treatment: Sep. 20 plote0
Outcome: decreasee0
Direction: decreasee0
Value: 26 percente0

Not reportedComparator

Verbatim

e0
“26 percent decrease in the Sep. 20 plot”
✓ located verbatim in the source · abstract, characters 990–1029

t0
“Fritillaria thungergii MIQUEL”
✓ located verbatim in the source · title, characters 69–98

Title

Effects of Planting Date and Density on Yield and It’s Components of Fritillaria thungergii MIQUEL

In-Sik Choi; Jin-Tae Cho; Seok-Yong Son; et al. Korean Journal of Medicinal Crop Science 1996

Other claims from this paper (18)

Intervention effect Earlier planting dates led to earlier emergence.
Intervention effect A 50-day planting delay caused a 14-day emergence delay.
Observation Plant height was 22.7cms for the Aug. 20 plot.
Intervention effect Later planting produced shorter plants.
Intervention effect The Aug. 20 yield was 1 percent above the Aug. 30 yield.
Intervention effect The Sep. 10 yield was 4 percent below Aug. 30.
Intervention effect The Sep 30 yield was 35 percent below Aug. 30.
Intervention effect The Oct. 10 yield was 38 percent below Aug. 30.
Intervention effect Sparse planting delayed emergence by one to three days relative to 33 bulbs per square meter.
Observation At 33 bulbs per square meter, plant height was 21. 8cms.
Observation At 33 bulbs per square meter, shoot count was 6.1.
Intervention effect The 22-bulb plot had 0.4 more shoots than the 33-bulb plot.
Intervention effect The 17-bulb plot had 0.6 more shoots than the 33-bulb plot.
Intervention effect The 13-bulb plot had 0.5 more shoots than the 33-bulb plot.
Intervention effect The 33-bulb plot yielded 2 percent more than the 22-bulb plot.
Intervention effect The 17-bulb plot yielded 16 percent less than the 22-bulb plot.
Intervention effect The 13-bulb plot yielded 34 percent less than the 22-bulb plot.
Recommendation The authors recommend Aug. 25 and 22 bulbs per square meter for cultivation in the middle region.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

The Sep 30 yield was 35 percent below Aug. 30.

Taxon: Fritillaria thungergii MIQUELt0
Treatment: Sep 30 plote0
Outcome: decreasee0
Direction: decreasee0
Value: 35 percente0

Not reportedComparator

Verbatim

e0
“35 percent decrease in the Sep 30 plot”
✓ located verbatim in the source · abstract, characters 1031–1069

t0
“Fritillaria thungergii MIQUEL”
✓ located verbatim in the source · title, characters 69–98

Title

Effects of Planting Date and Density on Yield and It’s Components of Fritillaria thungergii MIQUEL

In-Sik Choi; Jin-Tae Cho; Seok-Yong Son; et al. Korean Journal of Medicinal Crop Science 1996

Other claims from this paper (18)

Intervention effect Earlier planting dates led to earlier emergence.
Intervention effect A 50-day planting delay caused a 14-day emergence delay.
Observation Plant height was 22.7cms for the Aug. 20 plot.
Intervention effect Later planting produced shorter plants.
Intervention effect The Aug. 20 yield was 1 percent above the Aug. 30 yield.
Intervention effect The Sep. 10 yield was 4 percent below Aug. 30.
Intervention effect The Sep. 20 yield was 26 percent below Aug. 30.
Intervention effect The Oct. 10 yield was 38 percent below Aug. 30.
Intervention effect Sparse planting delayed emergence by one to three days relative to 33 bulbs per square meter.
Observation At 33 bulbs per square meter, plant height was 21. 8cms.
Observation At 33 bulbs per square meter, shoot count was 6.1.
Intervention effect The 22-bulb plot had 0.4 more shoots than the 33-bulb plot.
Intervention effect The 17-bulb plot had 0.6 more shoots than the 33-bulb plot.
Intervention effect The 13-bulb plot had 0.5 more shoots than the 33-bulb plot.
Intervention effect The 33-bulb plot yielded 2 percent more than the 22-bulb plot.
Intervention effect The 17-bulb plot yielded 16 percent less than the 22-bulb plot.
Intervention effect The 13-bulb plot yielded 34 percent less than the 22-bulb plot.
Recommendation The authors recommend Aug. 25 and 22 bulbs per square meter for cultivation in the middle region.

Effects of Depth and Duration of Water-logging on Growth and Yield at Germination and Seedling Stage in Tomato(Lycopersicon esculentum Mill.) 6

Show all 6 →

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Respiration markedly decreased at 5 cm waterlogging depth.

Taxon: TomatoSolanum lycopersicumt0
Outcome: Respiratione0
Direction: decreasee0

Verbatim

e0
“Respiration showed conspicuous decrease by the depth of 5 cm as a turning point”
✓ located verbatim in the source · abstract, characters 1775–1854

t0
“Tomato”
✓ located verbatim in the source · title, characters 104–110

Title

Effects of Depth and Duration of Water-logging on Growth and Yield at Germination and Seedling Stage in Tomato(Lycopersicon esculentum Mill.)

Ja-Ock Guh; Sang-Eun Roh; Yong In Kuk; et al. Korean Journal of Environmental Agriculture 1996

Other claims from this paper (19)

Observation Germination failure occurred after 25 to 27 hours of waterlogging at 0 to 5 cm.
Observation At germination, plant height recovered within 24 hours regardless of depth.
Association Leaf recovery time shortened as waterlogging depth increased.
Observation Shoot fresh weight fell more sharply than root fresh weight but recovered within 24 hours.
Association Waterlogging depth correlated significantly with height, leaf number, fresh weight and germination rate.
Observation At seedling stage, height recovered within 24 hours at 0 cm depth.
Observation At deeper waterlogging levels, seedling height significantly decreased regardless of duration.
Observation Seedling leaf number recovered up to 120 hours at 0 cm depth.
Observation Seedling leaf number recovered up to 24 hours at 5 cm depth.
Observation At deeper levels leaf number significantly decreased after more than 6 hours.
Observation Shoot growth followed the trends of height and leaf number.
Intervention effect Longest root length at 0 cm waterlogging was maintained at 80% of control.
Observation Root length was not maintained after 120 hours at depths of 5 cm or greater.
Observation Waterlogging deeper than 0 cm markedly reduced root activity.
Association Photosynthesis decreased linearly with waterlogging depth.
Observation Chlorophyll content decreased gradually through 48 hours and sharply through 120 hours.
Association Disease increased with waterlogging depth and duration.
Observation Insecticide prevented disease, while fertilization had no effect.
Observation Fruit weight and number per plant decreased as waterlogging depth and duration increased, while mean fruit weight increased.

Observationobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

At deeper waterlogging levels, seedling height significantly decreased regardless of duration.

Taxon: TomatoSolanum lycopersicumt0
Treatment: deeper levele0
Outcome: Plant heighte1
Direction: decreasee0

Verbatim

e0
“On the deeper level, there was significant decrease regardless of time”
✓ located verbatim in the source · abstract, characters 1113–1183

t0
“Tomato”
✓ located verbatim in the source · title, characters 104–110

e1
“Plant height recovered within 24 hours regardless of the water-logging depths”
✓ located verbatim in the source · abstract, characters 475–552

Title

Effects of Depth and Duration of Water-logging on Growth and Yield at Germination and Seedling Stage in Tomato(Lycopersicon esculentum Mill.)

Ja-Ock Guh; Sang-Eun Roh; Yong In Kuk; et al. Korean Journal of Environmental Agriculture 1996

Other claims from this paper (19)

Observation Germination failure occurred after 25 to 27 hours of waterlogging at 0 to 5 cm.
Observation At germination, plant height recovered within 24 hours regardless of depth.
Association Leaf recovery time shortened as waterlogging depth increased.
Observation Shoot fresh weight fell more sharply than root fresh weight but recovered within 24 hours.
Association Waterlogging depth correlated significantly with height, leaf number, fresh weight and germination rate.
Observation At seedling stage, height recovered within 24 hours at 0 cm depth.
Observation Seedling leaf number recovered up to 120 hours at 0 cm depth.
Observation Seedling leaf number recovered up to 24 hours at 5 cm depth.
Observation At deeper levels leaf number significantly decreased after more than 6 hours.
Observation Shoot growth followed the trends of height and leaf number.
Intervention effect Longest root length at 0 cm waterlogging was maintained at 80% of control.
Observation Root length was not maintained after 120 hours at depths of 5 cm or greater.
Observation Waterlogging deeper than 0 cm markedly reduced root activity.
Observation Respiration markedly decreased at 5 cm waterlogging depth.
Association Photosynthesis decreased linearly with waterlogging depth.
Observation Chlorophyll content decreased gradually through 48 hours and sharply through 120 hours.
Association Disease increased with waterlogging depth and duration.
Observation Insecticide prevented disease, while fertilization had no effect.
Observation Fruit weight and number per plant decreased as waterlogging depth and duration increased, while mean fruit weight increased.

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Chlorophyll content decreased gradually through 48 hours and sharply through 120 hours.

Taxon: TomatoSolanum lycopersicumt0
Outcome: Chlorophyll contente0
Direction: decreasee0
Value: 48 hourse0

Verbatim

e0
“Chlorophyll content displayed gradual decrease up to 48 hours, but conspicuously decreased up to 120 hours according to the varying depth of water-logging”
✓ located verbatim in the source · abstract, characters 1947–2101

t0
“Tomato”
✓ located verbatim in the source · title, characters 104–110

Title

Effects of Depth and Duration of Water-logging on Growth and Yield at Germination and Seedling Stage in Tomato(Lycopersicon esculentum Mill.)

Ja-Ock Guh; Sang-Eun Roh; Yong In Kuk; et al. Korean Journal of Environmental Agriculture 1996

Other claims from this paper (19)

Observation Germination failure occurred after 25 to 27 hours of waterlogging at 0 to 5 cm.
Observation At germination, plant height recovered within 24 hours regardless of depth.
Association Leaf recovery time shortened as waterlogging depth increased.
Observation Shoot fresh weight fell more sharply than root fresh weight but recovered within 24 hours.
Association Waterlogging depth correlated significantly with height, leaf number, fresh weight and germination rate.
Observation At seedling stage, height recovered within 24 hours at 0 cm depth.
Observation At deeper waterlogging levels, seedling height significantly decreased regardless of duration.
Observation Seedling leaf number recovered up to 120 hours at 0 cm depth.
Observation Seedling leaf number recovered up to 24 hours at 5 cm depth.
Observation At deeper levels leaf number significantly decreased after more than 6 hours.
Observation Shoot growth followed the trends of height and leaf number.
Intervention effect Longest root length at 0 cm waterlogging was maintained at 80% of control.
Observation Root length was not maintained after 120 hours at depths of 5 cm or greater.
Observation Waterlogging deeper than 0 cm markedly reduced root activity.
Observation Respiration markedly decreased at 5 cm waterlogging depth.
Association Photosynthesis decreased linearly with waterlogging depth.
Association Disease increased with waterlogging depth and duration.
Observation Insecticide prevented disease, while fertilization had no effect.
Observation Fruit weight and number per plant decreased as waterlogging depth and duration increased, while mean fruit weight increased.

“yield decrease”

Claim types

Direction of the findings

Over time

Claim type

Research area

Polarity

Statistics

Effect of Ascochyta rabiei on symbiotic efficiency and productivity of Cicer arietinum 6

Quantitative effects of potassium application on potato tuber yield, quality, and potassium uptake in China: A meta-analysis 6

Biometric Response of Sugarcane Genotypes at Different Planting Times under Semi-Arid Climatic Conditions of Faisalabad 6

Rethinking Variable Rate Seeding: Why Can Increasing Soybean Population Decrease Yield in Nutrient-Limited Soils? 6

Switchgrass Steroidal Saponins Reduce Fungal Disease but Decrease Yeast Fermentation Yield 6

Modeling Impacts of Climate Change and Adaptation Measures on Rice Growth in Hainan, China 6

A double-sigmoid approach for high-throughput phenotyping of winter wheat growth dynamics 6

Effect of salt stress on morphological and yield attributing parameters of pepper (Capsicum annuum) genotypes 6

Effects of Planting Date and Density on Yield and It’s Components of Fritillaria thungergii MIQUEL 6

Effects of Depth and Duration of Water-logging on Growth and Yield at Germination and Seedling Stage in Tomato(Lycopersicon esculentum Mill.) 6