Search claims · PlantClaims

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.

Intervention effectobservedoriginal resultnegativenot significant (as stated)measured

Claim · model-written summary

One cluster had a nonsignificant yield decrease with narrower rows.

Taxon: SoybeanGlycine maxt0
Treatment: RS narrowede0
Outcome: yielde0
Direction: decreasee0

Not reportedComparator

Verbatim

e0
“one had a nonsignificant yield decrease as RS narrowed.”
✓ located verbatim in the source · abstract, characters 1128–1183

t0
“Soybean”
✓ located verbatim in the source · title, characters 25–32

Title

Row Spacing in the Early Soybean Production System

Glenn R. Bowers; James L. Rabb; Lanny O. Ashlock; et al. Agronomy Journal 2000. doi:10.2134/agronj2000.923524x

Other claims from this paper (5)

Intervention effect Five environmental clusters had significant yield gains of 17–36% as rows narrowed.
Intervention effect Three other clusters had nonsignificant yield increases with narrower rows.
Intervention effect One cluster had virtually no yield change with narrower rows.
Association Yield responded most to row spacing at 100 to 270 mm July and August rainfall.
Recommendation The authors recommend rows at most 40 cm to optimize ESPS yields in the midsouthern USA.

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.

Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The decrease in kernels per ear was associated with the decrease in grain yield (r2 = 0.88, P < 0.001).

Taxon: maizeZea mayst0
Organ / stage: eare4
Outcome: kernels per eare4
Direction: decreasee4
Value: r2 = 0.88e4

Verbatim

t0
“Differential responses of maize yield”
✓ located verbatim in the source · title, characters 0–37

e4
“The decrease in grain yield was largely caused by the decrease in kernels per ear (r2 = 0.88, P < 0.001)”
✓ located verbatim in the source · abstract, characters 909–1013

Title

Differential responses of maize yield to drought at vegetative and reproductive stages

MI Na; Fu CAI; Yushu ZHANG; et al. Plant Soil and Environment 2018. doi:10.17221/141/2018-pse

Other claims from this paper (6)

Intervention effect Progressive drought significantly reduced maize grain yield during either the vegetative or the reproductive stage.
Intervention effect Reproductive-stage progressive drought reduced grain yield by 41.6-46.6%.
Intervention effect Vegetative-stage progressive drought reduced grain yield by 18.6-26.2%.
Intervention effect The grain yield reduction from reproductive-stage drought was greater than that from vegetative-stage drought.
Mechanism The decrease in kernels per ear largely caused the decrease in maize grain yield.
Recommendation Guaranteeing water supply for maize during the reproductive stage is crucially important to avoid yield loss.

Intervention effectauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

The additive dry matter gain from setaria could compensate for the yield decrease in napiergrass.

Taxon: napiergrassCenchrus purpureuse3
Treatment: setariae3
Outcome: yield decreasee3
Direction: compensatee3

Not reportedComparator

Verbatim

e3
“additive DM gain from setaria could compensate the yield decrease in DL napiergrass”
✓ located verbatim in the source · abstract, characters 1252–1335

Title

雑草防除管理が造成した矮性ネピアグラスの粗飼料の収量,品質および越冬性に及ぼす影響

Ishii, Yasuyuki; Idota, Sachiko; Utamy, Renny Fatmyah; et al. Institutional Repositories DataBase (IRDB) 2012

Other claims from this paper (7)

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Pearl millet had the greatest yield decrease under intercropping.

Taxon: Pearl milletCenchrus americanuse0
Treatment: intercroppede0
Outcome: yielde0
Direction: decreasee0

Not reportedComparator

Verbatim

e0
“Pearl millet was the cereal with the greatest decrease in yield when intercropped”
✓ located verbatim in the source · abstract, characters 1044–1125

Title

Agronomic characteristics of intercropped legume and cereal crops.

E. A. Menezes UA Campus Repository (The University of Arizona) 1988

Other claims from this paper (10)

Observation Sorghum with soybean was the most appropriate species combination in 1985.
Observation Sorghum was the best cereal competitor with legumes.
Observation Soybean was the best legume competitor with cereals.
Observation Pioneer 8493 yielded more in monocrop.
Intervention effect The other two sorghum genotypes yielded more under intercropping.
Observation All three sorghum genotypes had high land equivalent ratios, indicating an intercropping advantage.
Intervention effect Soybean genotype yields decreased drastically in intercropping.
Observation Asgrow A6520 had the highest soybean yield in intercropping.
Recommendation California IO80H40 was chosen as the most appropriate sorghum genotype for intercropping.
Recommendation Rillito was chosen as the most appropriate soybean genotype for intercropping.

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)

Associationobservedoriginal resultnegativesimulated

Claim · model-written summary

Models predicted above average July heat units would decrease corn yield.

Treatment: above average heat unitse0
Outcome: yielde0
Direction: decreasee0

Not reportedTaxon

Verbatim

e0
“above average heat units would decrease yield”
✓ located verbatim in the source · abstract, characters 1433–1478

Title

Nitrogen, Climate, and Previous Crop Effect on Corn Yield and Grain N¹

M. Asghari; R. G. Hanson Agronomy Journal 1984. doi:10.2134/agronj1984.00021962007600040007x

Other claims from this paper (12)

Intervention effect N fertilizer significantly increased corn yield in three of four years after small grain.
Intervention effect N fertilization did not increase corn yield following alfalfa.
Intervention effect N fertilization significantly increased corn grain N content.
Observation Corn grain N content was higher following alfalfa.
Association One hundred percent relative yield corresponded to grain N content of 1.09 mol kg− 1.
Association June precipitation had no significant effect on corn yield.
Association Above average June heat units positively affected corn yield.
Association Models predicted above average July precipitation would increase corn yield.
Association More precipitation could offset above average July heat unit effects.
Method / resource Model predicted 114.3 mm July precipitation to reach 100% relative yield at mean heat units.
Method / resource At 114.3 mm precipitation, the predicted corn yield was 9.36 Mg ha− 1.
Method / resource The predicted N fertilizer requirement for that yield was 136 kg N ha− 1.

Observationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

These combinations did not significantly decrease yield.

Taxon: grapet0
Outcome: yielde0
Direction: decreasee0

Verbatim

e0
“without a significant decrease in yield”
✓ located verbatim in the source · abstract, characters 986–1025

t0
“Isabella grape variety”
✓ located verbatim in the source · abstract, characters 488–510

Title

Impact of combination application of herbicides and mineral fertilizers on the chemical composition of must and wine

Madina B. Khokonova Izvestiya of Kabardino-Balkarian State Agrarian University named after V M Kokov 2022. doi:10.55196/2411-3492-2022-3-37-26-30

Other claims from this paper (10)

Intervention effect Combined herbicides and fertilizers generally left must sugar at control level.
Intervention effect Nitrate fertilizers with simazine increased wort sugar.
Intervention effect Nitrate fertilizers with atrazine increased wort sugar.
Observation Wort titratable acids did not differ significantly.
Intervention effect Atrazine plus NP slightly lowered wine titratable acids.
Intervention effect Atrazine plus NRK slightly lowered wine titratable acids.
Observation Coloring substances and total phenols tended to increase in all variants.
Observation Simazine with mineral fertilizers caused no sharp deviation in main must and wine components.
Observation Atrazine with mineral fertilizers caused no sharp deviation in main must and wine components.
Observation These herbicides and fertilizers did not negatively affect wine organoleptic properties.

“yield decrease”

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