Search claims · PlantClaims

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)

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Spring paclobutrazol tended to decrease early yield.

Taxon: muskmelonCucumis melot0
Treatment: paclobutrazolt0
Outcome: early yielde0
Direction: decreasee0

Not reportedComparator

Verbatim

e0
“but tended to decrease the early yield.”
✓ located verbatim in the source · abstract, characters 561–600

t0
“Paclobutrazol—A Plant Growth Retardant for Increasing Yield and Fruit Quality in Muskmelon”
✓ located verbatim in the source · title, characters 0–90

Title

Paclobutrazol—A Plant Growth Retardant for Increasing Yield and Fruit Quality in Muskmelon

Haim Nerson; Ron Cohen; Menahem Edelstein; et al. Journal of the American Society for Horticultural Science 1989. doi:10.21273/jashs.114.5.762

Other claims from this paper (7)

Intervention effect Spring transplant drench with paclobutrazol increased total fruit yield by 15% to 20%.
Intervention effect Paclobutrazol increased fruit weight rather than fruit number.
Intervention effect Paclobutrazol generally tended to improve marketable yield, yield concentration and netting index.
Intervention effect Autumn paclobutrazol reduced early leaf yellowing but was less effective than BA.
Intervention effect Autumn paclobutrazol did not affect yield or yield components.
Intervention effect Autumn paclobutrazol significantly increased soluble solids content.
Intervention effect Autumn paclobutrazol left keeping quality unaffected.

Mechanismobservedoriginal resultnegativemeasured

Claim · model-written summary

Reduced pod number accounted for the yield decrease.

Taxon: soybeansGlycine maxt0
Outcome: decrease in seed yielde0
Qualifier: decrease in number of pods per plante0

Verbatim

e0
“The decrease in seed yield observed in both experimentsmore » was due to a decrease in number of pods per plant”
✓ located verbatim in the source · abstract, characters 1164–1275

t0
“soybeans”
✓ located verbatim in the source · title, characters 95–103

Title

Comparison of experimental designs to determine effects of acidic precipitation on field-grown soybeans

Levi Evans; Keith F. Lewin; M Patti; et al. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 1982

Other claims from this paper (8)

Intervention effect Simulated acidic rain at pH 4.1 reduced soybean seed yield by 10.7 relative to pH 5.6.
Intervention effect Simulated acidic rain at pH 3.3 reduced soybean seed yield by 16.8 relative to pH 5.6.
Intervention effect Simulated acidic rain at pH 2.7 reduced soybean seed yield by 22.9% relative to pH 5.6.
Association Seed yield had a strong positive relation with rain pH in the first experiment.
Intervention effect In the unshielded experiment, pH 4.1 reduced soybean yield by 2.7 relative to pH 5.6.
Intervention effect In the unshielded experiment, pH 3.3 reduced soybean yield by 7.0 relative to pH 5.6.
Intervention effect In the unshielded experiment, pH 2.7 reduced soybean yield by 7.6 relative to pH 5.6.
Association In the second experiment seed mass rose with rain pH with a correlation coefficient of 0.97.

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 resultnegativemeasured

Claim · model-written summary

Late-rice yield tended to decrease with time compared with early-rice yield.

Taxon: RiceOryza sativat0
Outcome: late-rice yielde0
Direction: decreasee0
Comparator: early-rice yielde0

Not reportedTreatment

Verbatim

t0
“Rice Field”
✓ located verbatim in the source · title, characters 54–64

e0
“late-rice yield tended to decrease, compared with early-rice yield”
✓ located verbatim in the source · abstract, characters 374–440

Title

Yield Trends and Reasons for Their Change in Red-soil Rice Field with Long-term Organic Matter Circling

Xie Xiao-li 2007

Other claims from this paper (8)

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

Pods per plant were chiefly responsible for yield decrease.

Taxon: soybeanGlycine maxt0
Organ / stage: podse0
Outcome: yield decreasee0
Direction: decreasee0

Verbatim

e0
“the component most responsible for yield decrease was the number of pods per plant”
✓ located verbatim in the source · abstract, characters 948–1030

t0
“Soybean”
✓ located verbatim in the source · title, characters 130–137

Title

The Interaction of Sowing Date and Water Availability in Determining Plant Architecture, Fruiting Pattern and Yield Components of Soybean (Glycine max L. Merr.)

P. Ceccon; L. Dalla Costa; R. Giovanardi; et al. Journal of Agronomy and Crop Science 1994. doi:10.1111/j.1439-037x.1994.tb00552.x

Other claims from this paper (9)

Intervention effect Water shortage restricted crop evapotranspiration.
Intervention effect Water shortage restricted water uptake depth.
Intervention effect Low water availability reduced architecture traits.
Intervention effect Late sowing reduced architecture traits.
Intervention effect Late sowing shifted stem seed allocation downward.
Intervention effect Reduced water supply shifted stem seed allocation downward.
Intervention effect Water stress only slightly affected unit seed weight.
Intervention effect Early sown soybean lost more yield under reproductive phase water shortage.
Intervention effect Late sown soybean lost more yield under vegetative phase water shortage.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

At 1440 g/10 a of boron, a decrease in seeds per pod was also involved in the yield decrease.

Taxon: Kidney BeanPhaseolus vulgarist0
Treatment: 1440 g/10 aの施用区e1
Outcome: 一莢内粒数e1
Direction: 低下e1

Not reportedComparator

Verbatim

e1
“1440 g/10 aの施用区では一莢内粒数の低下も関与した”
✓ located verbatim in the source · abstract, characters 514–544

t0
“Kidney Bean”
✓ located verbatim in the source · title, characters 72–83

Title

Effects of Boron Application on Seed Yield and Yield- Related Traits in Kidney Bean

Ichi SASAKI; Takuya KITABATAKE; Toshiki MATSUI; et al. Japanese Journal of Crop Science 2026. doi:10.1626/jcs.95.104

Other claims from this paper (15)

Intervention effect In trial 1, the FTE plot (citrate-soluble boron) raised kidney bean yield by 12% over the untreated plot (mean of cultivars and years).
Intervention effect In trial 1, the Agri-Ace plot (citrate-soluble boron and zinc) raised kidney bean yield by 9% over the untreated plot.
Intervention effect In trial 1, the water-soluble plot (water-soluble boron and zinc) raised kidney bean yield by 14% over the untreated plot.
Intervention effect Yield did not differ with or without zinc in the fertilizer materials.
Association Post-harvest soil content of boron alone showed a significant positive correlation with yield.
Mechanism The yield increase is considered to come from increased boron uptake.
Intervention effect At Ebetsu, yield peaked at boron application rates of 360-720 g/10 a.
Intervention effect At Obihiro, yield peaked at a boron application rate of 720 g/10 a.
Intervention effect Yield decreased at boron application rates of 1080 g/10 a or more.
Intervention effect The yield increase at the optimum boron rate relative to the untreated plot was mainly due to an increase in node number.
Intervention effect The yield decrease at 1080 g/10 a or more of boron was mainly due to fewer pods per node.
Observation At Ebetsu, post-harvest soil boron content exceeded the upper diagnostic limit of 1.3 ppm at 1080 g/10 a or more.
Observation At Obihiro, post-harvest soil boron content exceeded the upper diagnostic limit of 1.3 ppm at 1440 g/10 a.
Recommendation Applying about 360-720 g/10 a of boron is recommended as effective for increasing kidney bean yield.
Recommendation At this rate boron accumulation is not worrying, and continued application to kidney bean in a 3-4 year rotation is considered unproblematic.

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

The largest barley monoculture yield decrease occurred in years three to five.

Taxon: barleyHordeum vulgaree0
Outcome: yield decreasee0
Direction: decreasee0
Qualifier: 3rd to 5th yeare0

Verbatim

e0
“Experiments have further shown that the biggest yield decrease occurs in the 3rd to 5th year of barley monoculture.”
✓ located verbatim in the source · abstract, characters 1463–1578

Title

Danish Experiences with Cereals in Monoculture¹

A. Jensen EPPO Bulletin 1975. doi:10.1111/j.1365-2338.1975.tb02477.x

Other claims from this paper (19)

Intervention effect Cereal monoculture led to yield depletion.
Mechanism take‐all was a main factor in cereal yield loss.
Mechanism eyespot was a main factor in cereal yield loss.
Observation New barley varieties were highly resistant to the cereal cyst nematode.
Mechanism The named parasites did not explain all yield losses.
Observation Barley monoculture yield declining the first 2–4 years.
Observation Barley monoculture yield remains stable after that.
Observation Barley monoculture take‐all declines after that.
Intervention effect Adding straw to the soil had little effect on barley yield or disease.
Intervention effect burning it had little effect on barley yield or disease.
Intervention effect Postharvest soil treatments had little effect.
Observation Barley monoculture yield decrease was usually minor on fertile soils in Denmark.
Intervention effect Postharvest soil treatment had little effect on disease and yield except on heavily weed infested land.
Observation The cereal root nematode remained a threat to oat and spring wheat.
Intervention effect Monocultures of different host plants reduced nematode populations.
Intervention effect Benomyl successfully controlled eyespot in winter wheat.
Intervention effect Benomyl successfully controlled eyespot in winter rye.
Observation Field chemical control of take-all appeared infeasible despite good laboratory tests.
Observation Breeding for take-all resistance was judged difficult and of doubtful economic value.

“yield decrease”

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