Search claims · PlantClaims

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Under low water availability, automated irrigation promoted plant and soil water deficits.

Taxon: nectarinePrunus persica var. nucipersicat0
Treatment: T-A treatment (subjected to MAD = 10% during pre-harvest and 30% during post-harvest)e0
Outcome: plant and soil water deficitse0
Direction: promotede0
Qualifier: low water availability scenarioe0
Comparator: the controle0

Verbatim

e0
“In the low water availability scenario, the T-A treatment (subjected to MAD = 10% during pre-harvest and 30% during post-harvest) received 43% less water than the control, which promoted moderate plant and soil water deficits, leading to a decrease in vegetative growth (winter pruning weight and tree canopy cover), without compromising the total yield and nectarine fruit quality parameters (including an increase in t…” Show full quote
✓ located verbatim in the source · abstract, characters 1569–2021

t0
“nectarine orchard”
✓ located verbatim in the source · title, characters 100–117

Title

Automated soil water content-based irrigation under high and low water availability scenarios for a nectarine orchard

María R. Conesa; Wenceslao Conejero; Juan Vera; et al. 2021. doi:10.5194/egusphere-egu21-11033

Other claims from this paper (11)

Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in plant-soil water status.
Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in vegetative growth.
Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in yield.
Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in nectarine fruit quality parameters.
Intervention effect Under low water availability, automated irrigation less water by 43%.
Intervention effect Under low water availability, automated irrigation decrease vegetative growth.
Intervention effect Under low water availability, automated irrigation without compromising total yield.
Intervention effect Under low water availability, automated irrigation without compromising nectarine fruit quality parameters.
Intervention effect Under low water availability, automated irrigation increase total soluble solid content.
Intervention effect Crop water use efficiency increased by an average of 34%.
Recommendation The authors considered automated MAD-threshold irrigation promising for water-scarce stone fruit orchards.

Intervention effectobservedoriginal resultno effectmeasured

Claim · model-written summary

Under low water availability, automated irrigation without compromising nectarine fruit quality parameters.

Taxon: nectarinePrunus persica var. nucipersicat0
Treatment: T-A treatment (subjected to MAD = 10% during pre-harvest and 30% during post-harvest)e0
Outcome: nectarine fruit quality parameterse0
Direction: without compromisinge0
Qualifier: low water availability scenarioe0
Comparator: the controle0

Verbatim

e0
“In the low water availability scenario, the T-A treatment (subjected to MAD = 10% during pre-harvest and 30% during post-harvest) received 43% less water than the control, which promoted moderate plant and soil water deficits, leading to a decrease in vegetative growth (winter pruning weight and tree canopy cover), without compromising the total yield and nectarine fruit quality parameters (including an increase in t…” Show full quote
✓ located verbatim in the source · abstract, characters 1569–2021

t0
“nectarine orchard”
✓ located verbatim in the source · title, characters 100–117

Title

Automated soil water content-based irrigation under high and low water availability scenarios for a nectarine orchard

María R. Conesa; Wenceslao Conejero; Juan Vera; et al. 2021. doi:10.5194/egusphere-egu21-11033

Other claims from this paper (11)

Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in plant-soil water status.
Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in vegetative growth.
Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in yield.
Intervention effect Under high water availability, automated and conventional irrigation showed no significant difference in nectarine fruit quality parameters.
Intervention effect Under low water availability, automated irrigation less water by 43%.
Intervention effect Under low water availability, automated irrigation promoted plant and soil water deficits.
Intervention effect Under low water availability, automated irrigation decrease vegetative growth.
Intervention effect Under low water availability, automated irrigation without compromising total yield.
Intervention effect Under low water availability, automated irrigation increase total soluble solid content.
Intervention effect Crop water use efficiency increased by an average of 34%.
Recommendation The authors considered automated MAD-threshold irrigation promising for water-scarce stone fruit orchards.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Herbicide application 5 weeks after planting achieved weed control of 71.80 and 74.08% after 30 and 60 days.

Taxon: wheatTriticum aestivume2
Treatment: second date of application herbicides (5 weeks after Planting)e2
Outcome: weed control percentagee1
Direction: increaseinferrede1
Value: 71.80 and 74.08 %e1
Comparator: the two periods of 3 And 7 weeks after plantinge3

Verbatim

e1
“This period showed a decrease in the number of weeds, reaching 17.83 and 23.50 plants m −2, thus achieving a weed control percentage of 71.80 and 74.08 % after 30 and 60 days of spraying, respectively”
✓ located after whitespace/quote normalisation · abstract, characters 1028–1229

e2
“the second date of application herbicides (5 weeks after Planting) was superior in affecting the weeds accompanying the wheat crop”
✓ located verbatim in the source · abstract, characters 839–969

e3
“It also was superior in the trait of the total grain yield, achieving 2.078 t ha −1 and the weed index, recording 17.62% compared to the two periods of 3 And 7 weeks after planting, which recorded lower averages”
✓ located verbatim in the source · abstract, characters 1479–1690

Title

Evaluation of the Herbicide Tarzec Performance Under Different Application Time (The Yield and Its Components of Wheat)

Nesoor Adil Jassem; Suhad Mathkoor A. Safi; Watheq Falhi Hammood IOP Conference Series Earth and Environmental Science 2025. doi:10.1088/1755-1315/1487/1/012081

Other claims from this paper (14)

Intervention effect Herbicide application 5 weeks after planting decreased weed number to 17.83 and 23.50 plants m −2.
Intervention effect The 5-week application gave spike number of 301.25 spikes m −2, the best average.
Intervention effect The 5-week application gave 43.33 grains per spike, the best average.
Intervention effect The 5-week application gave 1000-grain weight of 41.36 g, with no significant difference from the other two periods.
Intervention effect The 5-week application gave the superior total grain yield of 2.078 t ha −1.
Intervention effect The 5-week application gave the superior weed index of 17.62%.
Intervention effect Herbicide at 90 g ha −1 gave the lowest weed density, 1.4 and 5.1 plants m −2.
Intervention effect Herbicide at 90 g ha −1 gave weed control of 82.42 and 94.47% after 30 and 60 days.
Intervention effect Herbicide at 90 g ha −1 gave 316.2 spikes m −2, a high average compared with the weedy treatment.
Intervention effect Herbicide at 90 g ha −1 gave 42.8 grains per spike, a high average compared with the weedy treatment.
Intervention effect Herbicide at 90 g ha −1 gave 1000-grain weight of 40.57 g, a high average compared with the weedy treatment.
Intervention effect Herbicide at 90 g ha −1 gave total grain yield of 2.262 t h −1, a high average compared with the weedy treatment.
Intervention effect Herbicide at 90 g ha −1 gave weed index of 10.64%, a high average compared with the weedy treatment.
Intervention effect Herbicide at 90 g ha −1 applied 5 weeks after planting gave a positive response and the best averages for the traits.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Genotypes KK-2 and Bhakkar-11 showed the lowest relative increase in Na+ accumulation (20.3 and 0.48%) at 50 mM salinity compared with control.

Taxon: chickpeaCicer arietinume0
Material: Genotype KK-2 and Bhakkar-11e1
Treatment: 50 mM salinitye1
Outcome: relative increase in Na+ accumulatione1
Direction: loweste1
Value: 20.3 and 0.48%e1
Comparator: controle1

Verbatim

e0
“5 genotypes of chickpea (KK-2, Bhakkar-2011, Bittle-98, Punjab-2008, and CM-98)”
✓ located verbatim in the source · abstract, characters 683–762

e1
“Genotype KK-2 and Bhakkar-11 showed a lower rate of relative decrease in yield (4.5 and 12%), K+/Na+ ratio (23.34 and 11.47%), and K+ concentration (7.9 and 11%), respectively, and the lowest relative increase in Na+ accumulation (20.3 and 0.48%), @ 50 mM salinity compared to control”
✓ located verbatim in the source · abstract, characters 1493–1777

Title

Biochemical, physiological, and growth evaluation of different chickpea genotypes under varying salinity regimes

J. Gul; M. Ullah Brazilian Journal of Biology 2022. doi:10.1590/1519-6984.268350

Other claims from this paper (16)

Intervention effect Salinity reduced the growth and yield of all chickpea genotypes.
Observation The rate of decrease in growth and yield under salinity differed among the chickpea genotypes tested.
Intervention effect Potassium concentration and K/Na ratio decreased in all chickpea genotypes with increasing salinity.
Intervention effect Transpiration rate and stomatal conductance decreased in all chickpea genotypes with increasing salinity.
Intervention effect Nitrogen and phosphorus decreased in all chickpea genotypes with increasing salinity.
Intervention effect Increased salinity increased proline content in chickpea by 35.45%.
Intervention effect Increased salinity increased crude protein in chickpea by 42%.
Intervention effect Increased salinity increased H2O2 in chickpea by 19%.
Intervention effect Increased salinity increased lipid peroxidation in chickpea by 62%.
Intervention effect Increased salinity increased carbohydrates in chickpea by 23.22%.
Intervention effect Increased salinity increased Na+ concentration in chickpea by 137%.
Observation The highest salinity level, 150 mM NaCl, produced the highest salinity stress in all parameters.
Intervention effect Genotypes KK-2 and Bhakkar-11 showed a lower relative decrease in yield (4.5 and 12%) at 50 mM salinity compared with control.
Intervention effect Genotypes KK-2 and Bhakkar-11 showed a lower relative decrease in K+/Na+ ratio (23.34 and 11.47%) at 50 mM salinity compared with control.
Intervention effect Genotypes KK-2 and Bhakkar-11 showed a lower relative decrease in K+ concentration (7.9 and 11%) at 50 mM salinity compared with control.
Recommendation The critical salinity level must be kept in mind and salt-tolerant genotypes should be cultivated in salt-affected soils.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

TMET reduced white mold incidence by 54.2% (49.3 to 58.7), the lowest mean reduction among the treatments.

Taxon: soybeanGlycine maxt0
Treatment: TMETe1
Outcome: incidencee1
Direction: decreaseinferrede1
Value: 54.2 (49.3 to 58.7)e1
Qualifier: loweste1
Comparator: untreated checke2
Setting: Brazile0

Verbatim

t0
“Soybean White Mold”
✓ located verbatim in the source · title, characters 57–75

e0
“is a yield-limiting disease of soybean in Brazil”
✓ located verbatim in the source · abstract, characters 2–50

e1
“Back-transformation of the meta-analytic estimates indicated that the lowest and highest mean (95% confidence interval [CI]) percent reductions in incidence and sclerotia mass were 54.2 (49.3 to 58.7) and 51.6% (43.7 to 58.3) for TMET and 83.8 (79.1 to 87.5) and 87% (81.9 to 91.6) for CARB+PROC, respectively”
✓ located verbatim in the source · abstract, characters 746–1055

e2
“including the untreated check”
✓ located verbatim in the source · abstract, characters 715–744

Title

Performance and Profitability of Fungicides for Managing Soybean White Mold: A 10-Year Summary of Cooperative Trials

Jhonatan P. Barro; Maurício C. Meyer; Claúdia V. Godoy; et al. Plant Disease 2019. doi:10.1094/pdis-10-18-1760-re

Other claims from this paper (10)

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

TMET reduced sclerotia mass by 51.6% (43.7 to 58.3), the lowest mean reduction among the treatments.

Taxon: soybeanGlycine maxt0
Treatment: TMETe1
Outcome: sclerotia masse1
Direction: decreaseinferrede1
Value: 51.6% (43.7 to 58.3)e1
Qualifier: loweste1
Comparator: untreated checke2
Setting: Brazile0

Verbatim

t0
“Soybean White Mold”
✓ located verbatim in the source · title, characters 57–75

e0
“is a yield-limiting disease of soybean in Brazil”
✓ located verbatim in the source · abstract, characters 2–50

e1
“Back-transformation of the meta-analytic estimates indicated that the lowest and highest mean (95% confidence interval [CI]) percent reductions in incidence and sclerotia mass were 54.2 (49.3 to 58.7) and 51.6% (43.7 to 58.3) for TMET and 83.8 (79.1 to 87.5) and 87% (81.9 to 91.6) for CARB+PROC, respectively”
✓ located verbatim in the source · abstract, characters 746–1055

e2
“including the untreated check”
✓ located verbatim in the source · abstract, characters 715–744

Title

Performance and Profitability of Fungicides for Managing Soybean White Mold: A 10-Year Summary of Cooperative Trials

Jhonatan P. Barro; Maurício C. Meyer; Claúdia V. Godoy; et al. Plant Disease 2019. doi:10.1094/pdis-10-18-1760-re

Other claims from this paper (10)

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

CARB+PROC reduced sclerotia mass by 87% (81.9 to 91.6), the highest mean reduction among the treatments.

Taxon: soybeanGlycine maxt0
Treatment: CARB+PROCe1
Outcome: sclerotia masse1
Direction: decreaseinferrede1
Value: 87% (81.9 to 91.6)e1
Qualifier: higheste1
Comparator: untreated checke2
Setting: Brazile0

Verbatim

t0
“Soybean White Mold”
✓ located verbatim in the source · title, characters 57–75

e0
“is a yield-limiting disease of soybean in Brazil”
✓ located verbatim in the source · abstract, characters 2–50

e1
“Back-transformation of the meta-analytic estimates indicated that the lowest and highest mean (95% confidence interval [CI]) percent reductions in incidence and sclerotia mass were 54.2 (49.3 to 58.7) and 51.6% (43.7 to 58.3) for TMET and 83.8 (79.1 to 87.5) and 87% (81.9 to 91.6) for CARB+PROC, respectively”
✓ located verbatim in the source · abstract, characters 746–1055

e2
“including the untreated check”
✓ located verbatim in the source · abstract, characters 715–744

Title

Performance and Profitability of Fungicides for Managing Soybean White Mold: A 10-Year Summary of Cooperative Trials

Jhonatan P. Barro; Maurício C. Meyer; Claúdia V. Godoy; et al. Plant Disease 2019. doi:10.1094/pdis-10-18-1760-re

Other claims from this paper (10)

Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Lupine extract at 5 kg d.m./ha reduced the content of this nitrogen form in cauliflower roses by 19.1 percent relative to control

Taxon: cauliflowerBrassica oleracea var. botrytise3
Organ / stage: cauliflower rosese3
Treatment: 5 kg d.m./hae3
Outcome: content of this form of nitrogene3
Direction: reducede3
Value: 19.1e3
Comparator: controle2

Verbatim

e2
“A significant and statistically proved decrease in N-NO3 in the vegetables sprayed with the lupine extract solution with reference to the control is worth noticing”
✓ located verbatim in the source · abstract, characters 842–1005

e3
“The dosages 3 and 5 kg d.m./ha reduced an average content of this form of nitrogen in cauliflower roses by respectively: 14.5 and 19.1 percent, and in the lettuce leaves by: 28.9 and 18.3 percent”
✓ located verbatim in the source · abstract, characters 1007–1202

Title

The yield and chemical composition of cauliflower and lettuce depending on the lupine extract applied and the type of nitrogen fertilizer

B. Barczak; K. Nowak 2005

Other claims from this paper (10)

Intervention effect The 5 kg d.m./ha lupine extract dosage had a significant effect on the volume crop of cauliflower
Intervention effect Both applied dosages of lupine extract affected the contents of dry matter and N-NO3 in the vegetables
Intervention effect Lupine extract at 3 kg d.m./ha reduced the content of this nitrogen form in cauliflower roses by 14.5 percent relative to control
Intervention effect Lupine extract at 3 kg d.m./ha reduced the content of this nitrogen form in lettuce leaves by 28.9 percent relative to control
Intervention effect Lupine extract at 5 kg d.m./ha reduced the content of this nitrogen form in lettuce leaves by 18.3 percent relative to control
Intervention effect Spraying the lupine extract was accompanied by a significant increase in total nitrogen content
Intervention effect The lupine extract spray did not significantly differentiate sodium content in both vegetables
Intervention effect The lupine extract spray did not significantly differentiate potassium and calcium in cauliflower roses
Intervention effect Nitrogen fertilization increased the crop of both vegetables
Intervention effect Nitrogen fertilization increased the contents of total nitrogen and N-NO3 in both vegetables

Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Lupine extract at 5 kg d.m./ha reduced the content of this nitrogen form in lettuce leaves by 18.3 percent relative to control

Taxon: lettuceLactuca sativae3
Organ / stage: lettuce leavese3
Treatment: 5 kg d.m./hae3
Outcome: content of this form of nitrogene3
Direction: reducede3
Value: 18.3e3
Comparator: controle2

Verbatim

e2
“A significant and statistically proved decrease in N-NO3 in the vegetables sprayed with the lupine extract solution with reference to the control is worth noticing”
✓ located verbatim in the source · abstract, characters 842–1005

e3
“The dosages 3 and 5 kg d.m./ha reduced an average content of this form of nitrogen in cauliflower roses by respectively: 14.5 and 19.1 percent, and in the lettuce leaves by: 28.9 and 18.3 percent”
✓ located verbatim in the source · abstract, characters 1007–1202

Title

The yield and chemical composition of cauliflower and lettuce depending on the lupine extract applied and the type of nitrogen fertilizer

B. Barczak; K. Nowak 2005

Other claims from this paper (10)

Intervention effect The 5 kg d.m./ha lupine extract dosage had a significant effect on the volume crop of cauliflower
Intervention effect Both applied dosages of lupine extract affected the contents of dry matter and N-NO3 in the vegetables
Intervention effect Lupine extract at 3 kg d.m./ha reduced the content of this nitrogen form in cauliflower roses by 14.5 percent relative to control
Intervention effect Lupine extract at 5 kg d.m./ha reduced the content of this nitrogen form in cauliflower roses by 19.1 percent relative to control
Intervention effect Lupine extract at 3 kg d.m./ha reduced the content of this nitrogen form in lettuce leaves by 28.9 percent relative to control
Intervention effect Spraying the lupine extract was accompanied by a significant increase in total nitrogen content
Intervention effect The lupine extract spray did not significantly differentiate sodium content in both vegetables
Intervention effect The lupine extract spray did not significantly differentiate potassium and calcium in cauliflower roses
Intervention effect Nitrogen fertilization increased the crop of both vegetables
Intervention effect Nitrogen fertilization increased the contents of total nitrogen and N-NO3 in both vegetables

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Whiteheads decreased across the May, June and July plantings (7.9, 6.6 and 4.8 %).

Taxon: riceOryza sativae3
Material: Sakha Super 300e3
Treatment: May 1st, June 1st and July 1st plantationse1
Interactor: Chilo agammnon Bles.e5pest
Outcome: whiteheadse1
Direction: decreaseinferrede1
Value: 7.9, 6.6 and 4.8 %e1
Setting: Sakha, Kafr El-Sheikh, Egypte2

Verbatim

e1
“Averages of dead hearts, caused by the rice stem borer were 7.2, 6.6 and 4.6 %, and those of whiteheads were 7.9, 6.6 and 4.8 % for May 1st, June 1st and July 1st plantations, respectively”
✓ located verbatim in the source · abstract, characters 1404–1592

e2
“Experimental Farm of Rice Research and Training Center (RRTC), Sakha, Kafr El-Sheikh, Egypt”
✓ located verbatim in the source · abstract, characters 40–131

e3
“in Sakha Super 300 rice cultivar”
✓ located verbatim in the source · abstract, characters 469–501

e5
“rice stem borer, Chilo agammnon Bles.”
✓ located verbatim in the source · abstract, characters 431–468

Title

Influence of Sowing Dates and Nitrogen Fertilization Levels on Rice Yield and Insect Infestation of Sakha Super 300 Rice Cultivar

Taha, S.; H. Saleh; Eman Bleih Egyptian Academic Journal of Biological Sciences, H. Botany/Egyptian Academic Journal of Biological Sciences, H. Botany 2021. doi:10.21608/eajbsh.2021.158820

Other claims from this paper (14)

Intervention effect Rice planted earlier had higher plant height, days to heading and filled grains per panicle.
Intervention effect Rice planted earlier had higher panicle weight, 1000-grain weight and grain yield.
Intervention effect The number of panicles per hill was highest at June 1st planting.
Intervention effect Fertility percentage was highest at June 1st planting.
Intervention effect Fertility percentage was lowest at May 1st planting.
Intervention effect Increasing nitrogen level increased the values of all traits, except fertility and 1000-grain weight.
Intervention effect Rice leaf miner infestation increased as planting was later.
Observation Planting on May 1st gave 21.80 and 23.42 infested leaves per 100 rice leaves.
Association Leaf miner infestation was highest, at 44.45 and 46.00 per 100 rice leaves in 2019 and 2020.
Association Percentages of leaf miner mines followed the same trend as infested leaves.
Intervention effect Increasing the nitrogen fertilization dose increased the percentages of leaf miner infested leaves and mines.
Association Dead hearts caused by the stem borer decreased across the May, June and July plantings (7.2, 6.6 and 4.6 %).
Association Stem borer infestation increased with nitrogen level.
Recommendation Sowing rice early (during May) with moderate nitrogen (69 kg N/fed.) is recommended to avoid severe leaf miner and stem borer infestations.

“yield decrease”

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