Search claims · PlantClaims

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 resultmeasured

Claim · model-written summary

The absolute yield response to microdose fertilization tended to decrease as control-plot yields increased.

Taxon: maizeZea mayse0
Treatment: microdose fertilizatione6
Outcome: Absolute yield response to microdose fertilizatione6
Direction: decreasee6

Verbatim

e0
“a total of 51 on-farm maize trials were carried out in northern Benin in 2014 and 2015”
✓ located verbatim in the source · abstract, characters 546–632

e6
“Absolute yield response to microdose fertilization tended to decrease with increasing yields in the control plots”
✓ located verbatim in the source · abstract, characters 1614–1727

Title

Variability in maize yield and profitability following hill-placement of reduced mineral fertilizer and manure rates under smallholder farm conditions in northern Benin

Pierre G. Tovihoudji; P.B. Irénikatché Akponikpè; Euloge K. Agbossou; et al. Field Crops Research 2018. doi:10.1016/j.fcr.2018.10.018

Other claims from this paper (13)

Intervention effect Microdose fertilization alone increased maize grain yield by 1145 kg/ha (+105%) compared with the unfertilized control.
Intervention effect MD1, MD2 and RR did not differ significantly in maize yield in either year.
Intervention effect Combining microdose fertilization with manure increased maize yield by 848 kg/ha (+40%) on average.
Observation Maize yields among farmers in the control ranged from 420 to 1687 kg/ha.
Observation Maize yields among farmers under sole microdose ranged from 1419 to 3418 kg/ha.
Observation Maize yields among farmers under microdose plus FYM ranged from 1834 to 4475 kg/ha.
Observation Yield variability was lowest in the unfertilized control treatment.
Association The absolute yield response to microdose fertilization was well explained by measured soil parameters and weed pressure.
Intervention effect The economic performance (value-cost ratio) of the RR treatment was lower than that of the microdose treatments.
Recommendation MD1 should be favored over MD2.
Intervention effect The risk of achieving low VCRs was lower in MD1 than in MD2.
Observation The risk of no return on investment was nearly nil for MD1 (6%).
Observation The risk of no return on investment was nearly nil for MD1 + FYM (2%).

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Streak mosaic symptoms were associated with a progressive decrease in sugar yield reaching 70% in 2017 in cultivar R575.

Taxon: sugarcane (Saccharum spp.)Saccharumt1
Material: cv. R575e1
Interactor: Sugarcane streak mosaic virusSugarcane streak mosaic virust0pathogen
Outcome: sugar yielde1
Direction: decreasee1
Value: 70%e1

Verbatim

t0
“Sugarcane streak mosaic virus”
✓ located verbatim in the source · title, characters 16–45

t1
“sugarcane (Saccharum spp.)”
✓ located verbatim in the source · title, characters 49–75

e1
“These symptoms were associated with a progressive decrease in sugar yield reaching 70% in 2017 in cv. R575”
✓ located verbatim in the source · abstract, characters 481–587

Title

First report of Sugarcane streak mosaic virus in sugarcane (Saccharum spp.) in Côte d'Ivoire

J.H. Daugrois; P. Roumagnac; Y. Kouakou; et al. New Disease Reports 2020. doi:10.5197/j.2044-0588.2020.041.022

Other claims from this paper (12)

Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Under global warming scenarios, maize grain yield is projected to decrease slightly due to temperature increase and low air relative humidity.

Taxon: maizeZea mayse1
Treatment: temperature increase and low ARH percentagee1
Outcome: maize grain yielde1
Direction: slightly decreasee1
Qualifier: under some scenarios of global warminge1

Verbatim

e1
“Forecasting the potential impact of climate changes on maize grain yield under some scenarios of global warming predicted slightly decrease due to temperature increase and low ARH percentage”
✓ located verbatim in the source · abstract, characters 1142–1332

Title

Predicting Impacts of Climate Change on Maize Productivity in Egypt

J Allison; T Daynard; J Cavero; et al. Egyptian Journal of Agronomy 2011. doi:10.21608/agro.2011.151

Other claims from this paper (3)

Associationobservedoriginal resultmeasured

Claim · model-written summary

The yield decrease at Kanafar correlated with higher solar radiation from early spring to early summer (by 13.9-27.1 W per square metre).

Taxon: Cabernet Sauvignont0
Treatment: higher solar radiation from early-spring to early-summere2
Outcome: decrease in yielde1
Direction: decreasee1
Value: 13.9–27.1 W m −2e2
Setting: Kanafare1

Verbatim

t0
“Cabernet Sauvignon”
✓ located verbatim in the source · title, characters 11–29

e1
“the decrease in yield at Kanafar correlated with”
✓ located verbatim in the source · abstract, characters 1251–1299

e2
“higher solar radiation from early-spring to early-summer (by 13.9–27.1 W m −2”
✓ located verbatim in the source · abstract, characters 1358–1435

Title

Changes in Cabernet Sauvignon yield and berry quality as affected by variability in weather conditions in the last two decades in Lebanon

G. Ghantous; K. Popov; Z. El Sebaaly; et al. Scientific Reports 2024. doi:10.1038/s41598-024-57665-z

Other claims from this paper (15)

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Fruit weight declined more than seed yield in later fruits.

Organ / stage: later fruitse0
Outcome: fruit weighte0
Direction: decreasee0
Comparator: seed yielde0

Not reportedTaxon

Verbatim

e0
“The decrease in fruit weight in later fruits was always larger than the decrease in seed yield”
✓ located verbatim in the source · abstract, characters 592–686

Title

Fruit-set order affects seed yield and germinability in melon (Cucumis meloL.)

H. Nerson The Journal of Horticultural Science and Biotechnology 2004. doi:10.1080/14620316.2004.11511878

Other claims from this paper (9)

Association Fruit weight and seed yield per fruit declined with later fruit-set order.
Association Fruits of the same order usually did not differ significantly across plant fruit counts.
Association Small, late fruits produced seeds more efficiently.
Mechanism Lower seed yield in later fruit was mainly due to lower mean seed weight.
Association Fruit-set order significantly affected germination percentage.
Association Later set fruit had greater germination percentage.
Association The germination gain was stronger when fruit was harvested before or after maturity.
Association Fruit number and set order did not significantly affect mean days to germination.
Intervention effect Seed storage for up to five years improved germination rate.

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

The yield drop at the 140 mm interval resulted mainly from a decrease in the number of pods per plant in soybean.

Taxon: soybeansGlycine maxe0
Organ / stage: podse5
Outcome: number of pods per plante5
Direction: decreasee5

Verbatim

e0
“The influence of irrigation interval and plant population on seed yield, yield components and water use of soybeans was examined”
✓ located verbatim in the source · abstract, characters 0–128

e5
“The drop in yield resulted principally from a substantial decrease in the number of pods per plant”
✓ located verbatim in the source · abstract, characters 672–770

Title

Effect of irrigation interval and plant population on growth, yield and water use of soybeans in a semi-arid environment

JA Thompson Australian Journal of Experimental Agriculture and Animal Husbandry 1978. doi:10.1071/ea9780276

Other claims from this paper (8)

Intervention effect Extending the irrigation interval to 140 mm reduced soybean seed yield by 1286 kg ha-1 or 34 per cent compared with 70 mm.
Intervention effect Twelve plants m-2 yielded significantly less than 28 plants m-2 in soybean.
Association Plant population had little influence on soybean plant performance or water use.
Intervention effect The 140 mm irrigation interval reduced crop water use by 15 per cent.
Intervention effect Production of seed and protein was less efficient at the 140 mm irrigation interval.
Observation Crop water use at the 70 mm irrigation interval was 786 mm, or 75 per cent of pan evaporation, in soybean.
Observation Irrigation interval had little effect on soybean seed protein and oil content.
Observation Peak soil moisture demand in soybean coincided with the end of flowering to early pod fill.

Associationobservedoriginal resultno effectmeasured

Claim · model-written summary

Winter crop yield did not distinctly depend on the decrease of snowfall and snow cover residence time

Taxon: WINTER CROPSt0
Treatment: the decrease of the snowfall amount and snow cover residence timee1
Outcome: winter crops yielde1

Not reportedDirection

Verbatim

t0
“WINTER CROPS YIELD”
✓ located verbatim in the source · title, characters 76–94

e1
“The observed in the analysed period winter crops yield does not show distinctly the supposed dependence on the decrease of the snowfall amount and snow cover residence time”
✓ located verbatim in the source · abstract, characters 707–879

Title

A STUDY OF THE IMPACT OF THE CHANGES IN WINTER PRECIPITATION PATTERN ON THE WINTER CROPS YIELD IN SOUTH CENTRAL REGION OF BULGARIA

O. NITCHEVA; A. VATRALOVA; D. SHOPOVA; et al. Applied Ecology and Environmental Research 2022. doi:10.15666/aeer/2002_17291740

Other claims from this paper (4)

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

In the North and Central regions, the decrease in malt extract yield grew progressively with increases in barley protein content.

Taxon: BarleysHordeumt0
Compound: BPROTe2
Outcome: decrease in EXTe2
Direction: grew progressivelye2
Setting: the North and Central regionse1

Verbatim

e1
“the North and Central regions”
✓ located verbatim in the source · abstract, characters 883–912

e2
“the decrease in EXT grew progressively with increases in BPROT”
✓ located verbatim in the source · abstract, characters 1055–1117

t0
“Barleys”
✓ located verbatim in the source · title, characters 42–49

Title

Mechanisms of Malt Extract Development in Barleys from Different European Regions: I. Effect of Environment and Grain Protein Content on Malt Extract Yield

J.-L. Molina-Cano; A. Rubió; E. Igartua; et al. Journal of the Institute of Brewing 2000. doi:10.1002/j.2050-0416.2000.tb00047.x

Other claims from this paper (5)

Associationobservedoriginal resultprojected

Claim · model-written summary

Projected alfalfa yield decreases where precipitation decreases.

Taxon: alfalfaMedicago sativae1
Outcome: yielde0
Direction: decreasee0
Qualifier: increase or decrease in precipitatione0
Setting: regionse0

Verbatim

e0
“its yield tend to increase or decrease in regions, where there will be an increase or decrease in precipitation in the same order as result of climatic change.”
✓ located verbatim in the source · abstract, characters 1395–1554

e1
“the alfalfa plant”
✓ located verbatim in the source · abstract, characters 1347–1364

Title

Estimation of Alfalfa (Medicago sativa l.) yield under RCP4.5 and RCP8.5 climate change projections with ANN in Turkey

MuhammetAli Pekin; NurdanSahin Demirbag; KhalidMahmood Khawar; et al. MAUSAM 2023. doi:10.54302/mausam.v74i3.5598

Other claims from this paper (5)

Method / resource The ANN calculated alfalfa yield with a coefficient of determination of 0.827.
Method / resource The ANN calculated alfalfa yield with a Nash-Sutcliff coefficient of 0.813.
Association Projected alfalfa yield increases where precipitation increases.
Observation The largest projected alfalfa yield increase is 6% in Artvin.
Observation The largest projected alfalfa yield decrease is 9% in Siirt.

“yield decrease”

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