Search claims · PlantClaims

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Increasing mottle disease severity was associated with moderate yield decrease.

Taxon: black peppert0
Outcome: plant yielde0
Direction: decreasee0
Comparator: disease severitye0

Verbatim

e0
“Increasing disease severity affect moderately plant yield decrease.”
✓ located verbatim in the source · abstract, characters 1180–1247

t0
“Black Pepper Yield”
✓ located verbatim in the source · title, characters 70–88

Title

Correlation of Mottle Disease Severity and Insect Vector Abundance on Black Pepper Yield

Miftakhurohmah; Dono Wahyuno; Sri Hendrastuti Hidayat; et al. Jurnal Fitopatologi Indonesia/Jurnal Fitopatologi 2023. doi:10.14692/jfi.19.3.129-134

Other claims from this paper (4)

Associationobservedreview summarynegativemeasured

Claim · model-written summary

Weed competition can decrease alfalfa yield.

Taxon: alfalfaMedicago sativae0
Interactor: Weedse0weed
Outcome: yieldse0
Direction: decreasee0

Verbatim

e0
“Weeds compete with alfalfa for water, nutrients, light, and space. This competition can decrease yields”
✓ located verbatim in the source · abstract, characters 0–103

Title

Weed Management in Alfalfa

William W. Witt UKnowledge (University of Kentucky) 1983

Other claims from this paper (4)

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Seed cotton yield tended to decrease as weed density increased.

Taxon: cottonGossypium hirsutumt0
Treatment: weed densitye0
Interactor: Goosegrasst1weed
Outcome: Seed cotton yielde0
Direction: decreasee0

Verbatim

e0
“Seed cotton yield tended to decrease with the increase in weed density”
✓ located verbatim in the source · abstract, characters 379–449

t0
“cotton”
✓ located verbatim in the source · title, characters 48–54

t1
“Goosegrass”
✓ located verbatim in the source · title, characters 0–10

Title

Goosegrass (Eleusine indica) density effects on cotton (Gossypium hirsutum)

Xiao-yan MA; Han-wen WU; Wei-li JIANG; et al. Journal of Integrative Agriculture 2015. doi:10.1016/s2095-3119(15)61058-9

Other claims from this paper (10)

Intervention effect Goosegrass at 4 plants per metre of row significantly reduced cotton yield by 20 to 27%.
Intervention effect The regression model predicted a 50% cotton yield loss at 11.6–19.2 goosegrass plants per metre of row.
Intervention effect Boll production was unaffected in the early growing season.
Intervention effect At 4 plants per metre of row, boll numbers per cotton plant fell about 25% late in the growing season.
Intervention effect Cotton boll weight and seed numbers per boll were significantly reduced by 8% at 4 goosegrass plants per metre of row.
Intervention effect Cotton height, stem diameter and sympodial branch number were less affected than yield by goosegrass competition.
Intervention effect Seed index, lint percentage and lint fiber properties were unaffected by weed competition.
Association Intraspecific competition produced density-dependent goosegrass biomass per plant of 142–387 g dry weight at harvest.
Association Goosegrass biomass per square metre tended to increase quadratically with weed density.
Recommendation The authors conclude that effective goosegrass management is needed to protect cotton yield.

Observationobservedreview summarynegativebasis n/a

Claim · model-written summary

Mycotoxins of phytopathogenic fungi lead to a decrease in the yield and quality of grain.

Compound: Mycotoxinse0
Outcome: yield and quality of graine0
Direction: decreasee0

Not reportedTaxon

Verbatim

e0
“Mycotoxins lead to a decrease in the yield and quality of grain”
✓ located verbatim in the source · abstract, characters 1157–1220

Title

The main mechanisms of environmentalization of the agricultural production

L. Havryliuk; I. Beznosko; O. Kichigina Balanced nature using 2023. doi:10.33730/2310-4678.3.2023.287828

Associationobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

TBRV caused a significant yield decrease.

Taxon: Merlot and Cabernet franct0
Interactor: TBRVTomato black ring viruse0pathogen
Outcome: yielde0
Direction: decreasee0

Verbatim

e0
“The major impact of TBRV was a significant yield decrease”
✓ located verbatim in the source · abstract, characters 1655–1712

t0
“Merlot and Cabernet franc”
✓ located verbatim in the source · title, characters 73–98

Title

Quantitative and qualitative impact of Tomato Black Ring Virus (TBRV) on Merlot and Cabernet franc

DEWASME, Coralie; MARY, Severine; DARRIEUTORT, Guillaume; et al. HAL (Le Centre pour la Communication Scientifique Directe) 2019

Other claims from this paper (8)

Association TBRV-infected vines had reduced total pruning weight.
Association TBRV-infected vines had increased lateral shoot number and length.
Association TBRV-positive vines produced fewer bunches than healthy vines.
Association TBRV-positive vines produced fewer berries than healthy vines.
Association TBRV-positive vines produced smaller berries than healthy vines.
Association TBRV-associated yield loss was greater in Merlot than Cabernet franc.
Association Grape quality parameters did not seem negatively affected by TBRV.
Mechanism Enhanced lateral shoot development may increase production costs.

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Susceptible Line 37-03 had 47.9% grain yield decrease.

Taxon: Bread WheatTriticum aestivumt0
Material: Line 37-03e0
Outcome: grain yielde0
Direction: decreasee0
Value: 47.9%e0

Verbatim

t0
“Bread Wheat”
✓ located verbatim in the source · title, characters 71–82

e0
“susceptible Line 37-03 recording a 47.9% decrease in grain yield”
✓ located verbatim in the source · abstract, characters 807–871

Title

Yield Loss Associated with Different Levels of Stem Rust Resistance in Bread Wheat

Tegwe Soko; Cornelia M. Bender; Renée Prins; et al. Plant Disease 2018. doi:10.1094/pdis-02-18-0307-re

Other claims from this paper (10)

Observation AUDPC distinguished moderately susceptible SC Stallion at 515.
Observation SC Nduna had AUDPC 995.
Observation Line 37-07 had AUDPC 1634.
Observation APR variety W1406 had AUDPC 256, above ASR SC Sky mean 25.
Observation APR variety W6979 had AUDPC 399, above ASR SC Sky mean 25.
Observation APR variety Kingbird had AUDPC 209, above ASR SC Sky mean 25.
Observation PTKST caused mean yield loss of 21.3% across protected and unprotected plots.
Observation APR W1406 had yield reduction of 19.5%.
Observation ASR SC Sky had mean yield loss of 6.4%.
Observation APR reduced effects of stem rust on yield but protected less than effective ASR under high disease pressure.

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Edible-part yield tended to decrease in clubroot-infested Hanana plots.

Taxon: Hananat0
Outcome: yield of edible partse0
Direction: decreasee0
Setting: infested plotse0

Verbatim

e0
“The yield of edible parts showed a tendency of decrease in the infested plots”
✓ located verbatim in the source · abstract, characters 804–881

t0
“Hanana (flower nabana)”
✓ located verbatim in the source · title, characters 43–65

Title

Impact of clubroot disease on the yield of Hanana (flower nabana)

Gento Tsuji; Yuji Kamibayashi; Yuna Hotta; et al. Annual Report of The Kansai Plant Protection Society 2019. doi:10.4165/kapps.61.129

Other claims from this paper (3)

Observationauthor interpretationoriginal resultnegativemeasured

Claim · model-written summary

The disease causes a decrease in tobacco leaf yield.

Taxon: TobaccoNicotiana tabacumt0
Outcome: tobacco leaf yielde1
Direction: decreasee1

Verbatim

t0
“Causing Leaf Spot on Tobacco”
✓ located verbatim in the source · title, characters 47–75

e1
“The disease spreads widely and causes a decrease in tobacco leaf yield”
✓ located verbatim in the source · abstract, characters 3314–3384

Title

First Report of Pestalotiopsis trachycarpicola Causing Leaf Spot on Tobacco in China

Weili Gang; Weijun Sang; Yi Cao; et al. Plant Disease 2025. doi:10.1094/pdis-05-25-1076-pdn

Other claims from this paper (5)

Associationobservedoriginal resultnegativesimulated

Claim · model-written summary

Poor groundcover suppression may decrease maize grain yield.

Taxon: maizeZea mayse0
Treatment: poor groundcover suppressione0
Outcome: maize grain yielde0
Direction: decreasee0

Verbatim

e0
“poor groundcover suppression may produce unfavorable environmental consequences and decrease maize grain yield”
✓ located verbatim in the source · abstract, characters 1594–1704

Title

Modeling perennial groundcover effects on annual maize grain crop growth with the Agricultural Production Systems sIMulator

C. A. Bartel; S. V. Archontoulis; A. W. Lenssen; et al. Agronomy Journal 2020. doi:10.1002/agj2.20108

Other claims from this paper (10)

Method / resource The integrated model predicted maize aboveground biomass with 13–27% RRMSE.
Method / resource The model predicted groundcover tissue nitrogen concentration with 11–18% RRMSE.
Method / resource The calibrated model captured observed groundcover biomass trends.
Method / resource The calibrated model captured observed soil nitrate trends.
Mechanism Light competition was the primary groundcover-related maize yield penalty.
Association Water affected maize yield later in the growing season.
Association Nitrogen affected maize yield later in the growing season.
Association Effective groundcover suppression produced minimal maize yield loss.
Association Effective groundcover suppression produced significant environmental benefits.
Association Poor groundcover suppression may cause unfavorable environmental outcomes.

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Tree density within fields tended to decrease crop yield.

Outcome: crop yielde0
Direction: decreasee0
Setting: inside the fieldse0

Not reportedTaxon

Verbatim

e0
“tree canopy cover and tree density inside the fields tended to decrease crop yield”
✓ located verbatim in the source · abstract, characters 654–736

Title

Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics

Martin Karlson; David Bolin; Hugues Roméo Bazié; et al. Journal of Arid Environments 2023. doi:10.1016/j.jaridenv.2023.105051

Other claims from this paper (6)

“yield decrease”

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