Search claims · PlantClaims

Observationobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

The cultivar had a significant decrease in grain yield.

Taxon: triticale×Triticosecalet0
Outcome: grain yielde0
Direction: decreasee0

Verbatim

e0
“which resulted in a significant decrease in its grain yield”
✓ located verbatim in the source · abstract, characters 881–940

t0
“triticale”
✓ located verbatim in the source · title, characters 99–108

Title

Rapid plant rehydration initiates permanent and adverse changes in the photosynthetic apparatus of triticale

Tomasz Hura; Katarzyna Hura; Agnieszka Ostrowska; et al. Plant and Soil 2015. doi:10.1007/s11104-015-2607-1

Other claims from this paper (9)

Intervention effect Rehydration further increased hydrogen peroxide in the cultivar that did not fully recover.
Intervention effect Rehydration inhibited photosynthetic apparatus activity compared with drought in that cultivar.
Observation On day 42 of rehydration, flag leaf photosynthetic activity was reduced.
Intervention effect Rapid rehydration lowered total peroxidase activity in its first week.
Intervention effect Rapid rehydration lowered catalase activity in its first week.
Observation Gradual restoration of leaf water content compensated increased hydrogen peroxide.
Observation Gradual leaf water restoration prevented further decline in photosynthetic apparatus activity.
Mechanism Rapid rehydration intensified physiological processes associated with reactive oxygen species overproduction.
Mechanism The authors suggest electron leakage from an overloaded electron transport chain causes hydrogen peroxide overproduction.

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.

Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

The decrease in redistributed seed N correlated strongly with increased yield.

Taxon: SoybeanGlycine maxt0
Treatment: this decreasee0
Outcome: increased yielde0
Direction: increasede0

Verbatim

t0
“Soybean”
✓ located verbatim in the source · title, characters 110–117

e0
“this decrease strongly correlated with increased yield”
✓ located verbatim in the source · abstract, characters 1164–1218

Title

Elevated CO2 Increases Nitrogen Fixation at the Reproductive Phase Contributing to Various Yield Responses of Soybean Cultivars

Yansheng Li; Zhenhua Yu; Xiaobing Liu; et al. Frontiers in Plant Science 2017. doi:10.3389/fpls.2017.01546

Other claims from this paper (7)

Association Yield response to elevated CO2 correlated strongly with increased symbiotically fixed N between R5 and R8.
Intervention effect Elevated CO2 caused small increases in fertilizer-derived N uptake from R5 to R8.
Intervention effect Elevated CO2 caused small increases in soil-derived N uptake from R5 to R8.
Association Increases in fertilizer-derived and soil-derived N uptake did not correlate with enhanced yield.
Intervention effect Elevated CO2 reduced the proportion of seed N redistributed from shoots to seeds.
Association Total N uptake was associated with increased fixed N per nodule under elevated CO2.
Association Total N uptake was not associated with changes in nodule biomass, density or root length.

Observationauthor interpretationreview summarymeasured

Claim · model-written summary

Diseases may decrease marketable root yield.

Taxon: table beetBeta vulgaris subsp. vulgarist0
Outcome: yield of marketable rootse0
Direction: decreasee0

Verbatim

e0
“decrease the yield of marketable roots”
✓ located verbatim in the source · abstract, characters 275–313

t0
“table beet”
✓ located after whitespace/quote normalisation · title, characters 107–117

Title

Challenges and Prospects for Building Resilient Disease Management Strategies and Tactics for the New York Table Beet Industry

Sarah J. Pethybridge; Julie R. Kikkert; Linda E. Hanson; et al. Agronomy 2018. doi:10.3390/agronomy8070112

Other claims from this paper (12)

Observationobservedoriginal resultnegativesimulated

Claim · model-written summary

The largest maize yield decrease occurred with early August sowing.

Taxon: MAIZEZea mayst0
Treatment: initial sowing of Auguste0
Outcome: decreasee0
Direction: biggeste0
Setting: Auguste0

Verbatim

e0
“The biggest decrease took place in the initial sowing of August”
✓ located verbatim in the source · abstract, characters 756–819

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 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 resultno effectmeasured

Claim · model-written summary

The 4M:6S ratio did not decrease subsequent wheat yield.

Taxon: wheatTriticum aestivume0
Outcome: yielde0
Direction: did not decreasee0

Verbatim

e0
“but it did not decrease yield of wheat.”
✓ located verbatim in the source · abstract, characters 1740–1779

Title

Row Ratios of Intercropping Maize and Soybean Can Affect Agronomic Efficiency of the System and Subsequent Wheat

Yitao Zhang; Jian Liu; Jizong Zhang; et al. PLoS ONE 2015. doi:10.1371/journal.pone.0129245

Other claims from this paper (14)

Observation Maize–soybean intercropping was the optimal summer cropping system.
Intervention effect Maize–soybean intercropping improved yield, economy and land utilization relative to maize monoculture.
Intervention effect Maize–soybean intercropping reduced soil nitrate accumulation relative to maize monoculture.
Observation Maize–soybean intercropping improved the residual effect on subsequent wheat.
Observation Intercropping reduced nitrogen fertilizer use per unit area.
Observation Intercropping increased relative maize biomass.
Observation Border-row photosynthetic efficiency and nitrogen utilization were promoted during intercropping.
Observation Intercropping advantage emerged at tasseling after maize nitrogen topdressing.
Intervention effect The 4M:6S row ratio had the largest land equivalent ratio of 1.30.
Intervention effect The 4M:6S row ratio had the greatest crop nitrogen accumulation of 258 kg ha(-1).
Intervention effect The 4M:6S row ratio had the greatest economic benefit of 3,408 USD ha(-1).
Intervention effect The 4M:6S ratio lowered soil nitrate after maize harvest compared with maize monoculture.
Intervention effect The 4M:6S ratio lowered soil nitrate after subsequent wheat harvest compared with maize monoculture.
Recommendation The authors recommended alternating four maize rows with six soybean rows as the optimum ratio, subject to further multiyear confirmation.

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Liaoyan 16 yield components did not decrease markedly under weedy rice interference.

Taxon: Liaoyan 16e0
Outcome: yield componentse0
Direction: no decrease markerlye0

Verbatim

e0
“However,the yield components of Liaoyan 16 was no decrease markerly.”
✓ located verbatim in the source · abstract, characters 630–698

Title

Ecological Control of Weedy Rice by Different Morphological Type Rice

Wenfu Chen Acta Agriculturae Boreali-Sinica 2010

Other claims from this paper (4)

Intervention effect Liaoyan 16 reduced weedy rice height, leaf area, dry weight, and tiller number relative to Shennong 265.
Intervention effect At 12 weedy rice plants per square meter, Shennong 265 panicle number, leaf area index and dry matter weight decreased seriously.
Intervention effect Weedy rice interference caused a decline in rice yield.
Observation Liaoyan 16 competed more strongly than Shennong 265.

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

In the far future all regional climate models predicted a decrease of peanut yield.

Taxon: peanutArachis hypogaeat0
Outcome: peanut yielde0
Direction: decreasee0

Not reportedTreatmentComparator

Verbatim

t0
“peanut”
✓ located verbatim in the source · title, characters 46–52

e0
“During the far future, all RCMs predict a decrease of the peanut yield”
✓ located verbatim in the source · abstract, characters 1307–1377

Title

Simulation of the impact of climate change on peanut yield in Senegal

Badara Sarr Alioune; Camara Moctar International Journal of the Physical Sciences 2018. doi:10.5897/ijps2017.4710

Other claims from this paper (7)

Intervention effect In the near future (2021-2050) peanut yield decreased for all regional climate models except RACMO22T under both scenarios, relative to the reference period.
Intervention effect The decrease in peanut yield was stronger under the RCP8.5 scenario.
Observation The ensemble mean predicted a strong decrease of rainfall under RCP4.5.
Observation The ensemble mean predicted a slight decrease of rainfall under RCP8.5.
Observation All models predicted a gradual increase in mean temperature.
Observation The temperature increase was stronger under the RCP8.5 scenario.
Recommendation The authors state that adaptation strategies are needed to protect the peanut sector.

Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Yield did not significantly decrease through the eight-day irrigation interval.

Taxon: RICEOryza sativat0
Treatment: 8We0
Outcome: yielde0
Direction: decreasee0
Comparator: continuous flooding (W)e1

Verbatim

e0
“without any significant decrease in yield up to 8W”
✓ located verbatim in the source · abstract, characters 905–955

t0
“RICE”
✓ located verbatim in the source · title, characters 64–68

e1
“continuous flooding (W) without any significant decrease”
✓ located verbatim in the source · abstract, characters 881–937

Title

IRRIGATION REGIME AND POTASSIUM LEVELS EFFECTS ON YIELD OF SOME RICE GENOTYPES, WATER USE EFFICIENCY (WUE) AND ECONOMIC RETURNS

Howida El-Habet Journal of Plant Production 2014. doi:10.21608/jpp.2014.53654

Other claims from this paper (17)

Observation Giza179 had higher grain yield and yield attributes than GZ7112 under continuous flooding.
Intervention effect Twelve-day irrigation significantly reduced rice yield.
Intervention effect At 4W, Giza179 saved 10.36% and 8.37% irrigation water in 2012 and 2013.
Intervention effect At 4W, GZ7112 saved 10.50% and 10.36% irrigation water.
Intervention effect At 8W, Giza179 saved 17.81% and 23.66% water.
Intervention effect At 8W, GZ7112 saved 13.33% and 18.44% water.
Intervention effect At 12W, irrigation water savings were 23.91% and 27.90% across the two seasons.
Intervention effect At 12W, grain yield was reduced about 22.42% and 24.71% in 2012 and 2013.
Observation Giza179 yielded 9.70 t/ha across both seasons.
Observation GZ7112 yielded 9.33 t/ha across both seasons.
Observation Giza179 saved 20.73% water across both seasons.
Observation GZ7112 saved 15.88% water across both seasons.
Observation Giza179 water use efficiency was 0.90 kg/m3.
Observation GZ7112 water use efficiency was 0.81 kg/m3.
Observation With Giza179 at 8W, total water input was reported as 11260.88 and 10006.80 m3/ha.
Intervention effect Potassium application up to 108 K2O/ha significantly increased rice yield.
Intervention effect Potassium application up to 108 K2O/ha mitigated water stress and increased WUE and water savings.

“yield decrease”

Claim types

Direction of the findings

Over time

Claim type

Research area

Polarity

Statistics