Search claims · PlantClaims

Observationobservedreview summarynegativebasis n/a

Claim · model-written summary

Smoke exposure can decrease vineyard yield.

Taxon: grapest0
Outcome: yielde0
Direction: decreasee0

Verbatim

e0
“decrease yield”
✓ located verbatim in the source · abstract, characters 1153–1167

t0
“vineyards and grapes”
✓ located verbatim in the source · title, characters 71–91

Title

The damages and significant effects of wildfire and stubble burning on vineyards and grapes

Selda Daler Silva Balcanica 2024. doi:10.3897/silvabalcanica.25.e132176

Other claims from this paper (7)

Observation Wildfires and stubble burning can physically and radiantly damage vineyards.
Observation Fire can damage vineyard leaves, shoots, buds, and fruit production organs and can destroy vineyards in extreme cases.
Association Fire damage extent differs among vineyards with weather, fire intensity, and grapevine growth stage.
Observation Smoke can harm vineyards and alter grape-berry chemical composition.
Observation Smoke exposure can induce necrotic leaf lesions.
Observation Smoke exposure can hinder photosynthesis.
Observation Smoke exposure can reduce sugar accumulation in fruit.

Observationobservedoriginal resultnegativeprojected

Claim · model-written summary

Wheat yield is projected to decrease across locations.

Taxon: wheatTriticum aestivume0
Outcome: wheat yielde0
Direction: decreasee0

Verbatim

e0
“wheat yield would decrease across locations.”
✓ located verbatim in the source · abstract, characters 1247–1291

Title

Effects of a wheat rotation on cotton production in a changing climate: a simulation study

Q Luo; M Bange; P Devoil Climate Research 2016. doi:10.3354/cr01413

Other claims from this paper (6)

Intervention effect For irrigated cotton, three years in and one year out is projected to give the best lint yield.
Intervention effect Cotton yields are projected to decrease under changing climate at most locations across crop sequences.
Intervention effect Wheat yields are projected to decrease more than cotton yields under changing climate.
Intervention effect Rain-fed continuous cotton is projected to perform better at Emerald, Dalby and/or Narrabri with solid and single skip rows.
Intervention effect A cotton-wheat sequence is projected to outperform continuous cotton for lint yields with double skip rows at Emerald, Moree and Narrabri.
Recommendation The authors recommend combining better crop sequences with other adaptation options to maintain production.

Observationobservedoriginal resultnegativesimulated

Claim · model-written summary

The Isareg model estimated average maize grain yield decrease of 25.1%.

Taxon: MAIZEZea mayst0
Outcome: grain yielde0
Direction: decreasee0
Value: 25.1%e0

Verbatim

e0
“The model estimated an average grain yield decrease of 25.1%.”
✓ located verbatim in the source · abstract, characters 694–755

t0
“WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST”
✓ located verbatim in the source · title, characters 0–78

Title

WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST

CLÍSTENES ANTÔNIO GUADAGNIN; EDGAR RICARDO SCHOFFEL; HELVIO DEBLI CASALINHO; et al. Revista Brasileira de Milho e Sorgo 2017. doi:10.18512/1980-6477/rbms.v16n1p61-71

Other claims from this paper (6)

Observation The largest maize yield decrease occurred with early August sowing.
Observation The smallest maize yield decrease occurred with late January to February sowings.
Observation Yield decrease varied by up to 3.9% among maturation cycles.
Method / resource Isareg was judged appropriate for estimating grain yield decrease.
Method / resource Isareg overestimated yield decrease when relative evapotranspiration exceeded 0.8.
Observation A 40% grain yield decrease had a 10.5% occurrence probability.

Observationobservedoriginal resultnegativeprojected

Claim · model-written summary

Future grain yield was projected to decrease.

Outcome: grain yielde0
Direction: decreasee0
Qualifier: in futuree0

Not reportedTaxon

Verbatim

e0
“the grain yield would decrease in future”
✓ located verbatim in the source · abstract, characters 980–1020

Title

Grain yield and food security evaluation in the yellow river basin under climate change and water resources constraints

Chen Niu; Yafei Qi; Aijun Guo; et al. Frontiers in Water 2022. doi:10.3389/frwa.2022.908945

Other claims from this paper (6)

Method / resource The coupled models showed good adaptability.
Observation Future Yellow River Basin precipitation and temperature were projected to exceed historical levels and rise.
Observation Future basin runoff and irrigation water demand were projected below historical levels.
Observation The basin was projected to have well-guaranteed food security.
Observation Food security levels were projected to differ substantially among provinces.
Observation Some provinces were projected to face serious food insecurity without grain trade.

Observationobservedoriginal resultno effectmeasured

Claim · model-written summary

Fomesafen did not injure strawberry or decrease yield.

Taxon: strawberryFragaria ×ananassae0
Outcome: injure strawberry or decrease yielde2

Not reportedDirection

Verbatim

e0
“provides PRE weed control in strawberry”
✓ located verbatim in the source · abstract, characters 111–150

e2
“Fomesafen did not injure strawberry or decrease yield.”
✓ located verbatim in the source · abstract, characters 776–830

Title

Persistence and Movement of Fomesafen in Florida Strawberry Production

Thomas V. Reed; Nathan S. Boyd; P. Christopher Wilson; et al. Weed Science 2018. doi:10.1017/wsc.2018.48

Other claims from this paper (4)

Observationobservedreview summarynegativebasis n/a

Claim · model-written summary

Abiotic assaults decrease plant yield.

Taxon: PlantsViridiplantaee0
Treatment: abiotic assaultse0
Outcome: yielde0
Direction: decreasee0

Verbatim

e0
“Plants are exposed continuously in their natural environment to diverse abiotic assaults throughout life, which leads to a decrease in yield”
✓ located verbatim in the source · abstract, characters 0–140

Title

Influence of abiotic stress on biomolecules

K.Ye. Zhanassova; A.B. Kurmanbayeva; Zh.K. Masalimov BULLETIN of the L N Gumilyov Eurasian National University BIOSCIENCE Series 2021. doi:10.32523/2616-7034-2021-137-4-92-104

Other claims from this paper (6)

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

F4 and F5 mungbean populations showed a slight grain yield decrease.

Taxon: mungbeanVigna radiatat0
Material: F4 and FSe0
Outcome: 'grain yielde0
Direction: slight decreasee0

Verbatim

e0
“slight decrease in 'grain yield in subsequent populations of F4 and FS”
✓ located verbatim in the source · abstract, characters 923–993

t0
“mungbean”
✓ located verbatim in the source · title, characters 26–34

Title

Selection and breeding of mungbean

S. C. Quah Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) 1987

Other claims from this paper (11)

Observationobservedoriginal resultno effectsimulated

Claim · model-written summary

Simulated foliar damage alone did not decrease grain yield.

Outcome: grain yielde0
Direction: did not decreasee0
Qualifier: foliar damage alonee0

Not reportedTaxon

Verbatim

e0
“foliar damage alone did not decrease grain yield but decreased straw yield.”
✓ located verbatim in the source · abstract, characters 679–754

Title

Field evaluation and simulation of frost tolerance in Syrian durum wheat landraces

A. Elings; M.M. Nachit Netherlands Journal of Agricultural Science 1993. doi:10.18174/njas.v41i1.629

Other claims from this paper (8)

Observation January frosts caused under 5% apparent foliar damage.
Observation March frosts caused average foliar damage of 23%, ranging 3-65%.
Association Late frost tolerance appeared related to regional minimum winter temperatures.
Association Coastal landraces showed the highest frost sensitivity.
Intervention effect Fertilizer did not significantly affect foliar damage.
Observation Simulated foliar damage alone decreased straw yield.
Observation Simulated additional floret damage decreased grain yield.
Observation Simulated additional floret damage increased straw yield.

Observationobservedoriginal resultpositiveprojected

Claim · model-written summary

Probability of a yield decrease declined from 1.5 to 2.0 °C warming.

Outcome: probability of a crop yield decreasee0
Direction: decreasee0

Not reportedTaxon

Verbatim

e0
“the probability of a crop yield decrease would decrease”
✓ located verbatim in the source · abstract, characters 2124–2179

Title

Impacts of climate change and climate extremes on major crops productivity in China at a global warming of 1.5 and 2.0 °C

Yi Chen; Zhao Zhang; Fulu Tao Earth System Dynamics 2018. doi:10.5194/esd-9-543-2018

Other claims from this paper (15)

Observation Climate change projected shorter crop growth duration.
Observation Climate change projected more extreme events.
Observation Moderate climate change could enhance canopy photosynthesis.
Observation Moderate climate change could enhance biomass accumulation and yields.
Observation Moderate change slightly worsened the maize growth environment.
Observation Moderate change made the wheat growth environment more appropriate.
Observation Moderate change made the rice growth environment more appropriate.
Observation Wheat yield was projected to change +3.9% at 1.5 °C.
Observation Wheat yield was projected to change +8.6% at 2.0 °C.
Observation Rice yield was projected to change +4.1% at 1.5 °C.
Observation Rice yield was projected to change +9.4% at 2.0 °C.
Observation Maize yield was projected to change +0.2% at 1.5 °C.
Observation Maize yield was projected to change −1.7% at 2.0 °C.
Observation Yield variability increased from 1.5 to 2.0 °C warming.
Recommendation The authors consider 2.0 °C warming more suitable for crop production in China.

Observationobservedoriginal resultsimulated

Claim · model-written summary

A 40% grain yield decrease had a 10.5% occurrence probability.

Taxon: MAIZEZea mayst0
Outcome: probability of occurrencee0
Value: 10.5%e0
Qualifier: 40% of grain yield decreasee0

Verbatim

e0
“The levels of 40% of grain yield decrease present 10.5% of probability of occurrence.”
✓ located verbatim in the source · abstract, characters 1116–1201

t0
“WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST”
✓ located verbatim in the source · title, characters 0–78

Title

WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST

CLÍSTENES ANTÔNIO GUADAGNIN; EDGAR RICARDO SCHOFFEL; HELVIO DEBLI CASALINHO; et al. Revista Brasileira de Milho e Sorgo 2017. doi:10.18512/1980-6477/rbms.v16n1p61-71

Other claims from this paper (6)

Observation The Isareg model estimated average maize grain yield decrease of 25.1%.
Observation The largest maize yield decrease occurred with early August sowing.
Observation The smallest maize yield decrease occurred with late January to February sowings.
Observation Yield decrease varied by up to 3.9% among maturation cycles.
Method / resource Isareg was judged appropriate for estimating grain yield decrease.
Method / resource Isareg overestimated yield decrease when relative evapotranspiration exceeded 0.8.

“yield decrease”

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