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“yield decrease”

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Method / resourceobservedoriginal resultnegativeprojected

Claim · model-written summary

EPIC projected a corn yield decrease under the coarse scenario.

Taxon: cornZea mays subsp. mayst0
Direction: decreasee0
Comparator: coarse scenarioe0

Not reportedOutcomeValue

Verbatim

e0
“EPIC simulated a decrease for the coarse scenario but no change for the fine scale scenario”
✓ located verbatim in the source · abstract, characters 568–659

t0
“for wheat and corn”
✓ located verbatim in the source · abstract, characters 61–79

Title

Comparative responses of EPIC and CERES crop models to high and low spatial resolution climate change scenarios

L. O. Mearns; T. Mavromatis; E. Tsvetsinskaya; et al. Journal of Geophysical Research Atmospheres 1999. doi:10.1029/1998jd200061

Other claims from this paper (5)

Method / resource CERES projected moderate corn yield decreases under both scenarios.
Method / resource EPIC projected no change in corn yield under the fine scale scenario.
Method / resource The models also differed in simulated wheat yields.
Mechanism Model differences in yield arose from contrasting formation of final yield despite similar potential biomass simulation.
Method / resource Crop model type was identified as an uncertainty in impact assessment alongside climate scenario spatial resolution.

Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

The SDI models indicated a linear decline in relative yield with increasing wetness.

Taxon: CORNZea mays subsp. mayst0
Outcome: relative yielde0
Direction: linear decreasee0
Comparator: increasing wetness (SDI values)e0

Verbatim

e0
“The SDI models indicated a linear decrease in the relative yield with increasing wetness (SDI values)”
✓ located verbatim in the source · abstract, characters 823–924

t0
“CORN”
✓ located verbatim in the source · title, characters 0–4

Title

CORN GROWTH AS AFFECTED BY EXCESS SOIL WATER

S. Mukhtar; J. L. Baker; R. S. Kanwar Transactions of the ASAE 1990. doi:10.13031/2013.31348

Other claims from this paper (9)

Observation Corn was most susceptible to flooding at the early vegetative stage.
Intervention effect Flooding caused maximum plant canopy height reduction at the early vegetative stage.
Intervention effect Flooding caused maximum dry matter reduction at the early vegetative stage.
Intervention effect Flooding caused maximum grain yield reduction at the early vegetative stage.
Observation Early vegetative crop susceptibility factor was 0.64.
Observation Late vegetative crop susceptibility factor was 0.44.
Observation Flowering crop susceptibility factor was 0.15.
Observation Yield formation crop susceptibility factor was 0.19.
Observation Yield SDI regression lines differed considerably between years in the undrained area.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Y/M selection substantially decreased grain moisture.

Taxon: maizeZea mayst0
Outcome: grain moisturee0
Direction: decreasee0
Comparator: Y/Me1

Not reportedValue

Verbatim

e0
“had a large decrease in grain moisture”
✓ located verbatim in the source · abstract, characters 1416–1454

e1
“The Y/M selection differential for yield was only 64% of that of yield”
✓ located verbatim in the source · abstract, characters 1340–1410

t0
“Selection Criteria for Grain Yield and Moisture in Maize Yield Trials”
✓ located verbatim in the source · title, characters 0–69

Title

Selection Criteria for Grain Yield and Moisture in Maize Yield Trials

J. T. Eta‐Ndu; S. J. Openshaw Crop Science 1992. doi:10.2135/cropsci1992.0011183x003200020010x

Other claims from this paper (12)

Association Grain yield and moisture were positively correlated.
Observation Yield means departed from normality in 18% of experiments.
Observation Moisture departed from normality in 32% of experiments.
Observation Regression of yield on moisture varied substantially, averaging 12.5 kg ha −1 yield per g kg −1 moisture.
Method / resource REG yield selection differential was 92% of direct selection.
Method / resource BSE yield selection differential was 91% of direct selection.
Method / resource DSG yield selection differential was 89% of direct selection.
Method / resource REG, BSE and DSG changed moisture less than selection on yield.
Method / resource Y/M yield selection differential was only 64% of direct selection.
Association Index success was not associated with nonnormality.
Recommendation The authors recommend BSE or REG to identify high-yielding hybrids within maturity groups.
Recommendation The authors advise evaluating selection indices against breeder circumstances and objectives.

Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The largest model uncertainty was the start of the senescent decline in canopy quantum yield.

Taxon: wheatTriticum aestivume1
Outcome: predicting a start time for the senescent decrease of canopy quantum yielde0
Direction: most uncertaintye0

Not reportedComparatorValue

Verbatim

e0
“The most uncertainty arose in predicting a start time for the senescent decrease of canopy quantum yield.”
✓ located verbatim in the source · abstract, characters 958–1063

e1
“for wheat (Triticum aestivum L.)”
✓ located verbatim in the source · abstract, characters 278–310

Title

An approach to crop modeling with the energy cascade.

T Volk; B Bugbee; R M Wheeler PubMed 1995

Other claims from this paper (5)

Observation Wheat photon absorption rose to canopy closure and then remained constant.
Observation Wheat canopy quantum yield remained constant and then declined during senescence.
Observation Wheat carbon use efficiency was constant in the model trends.
Method / resource The energy-cascade model predicted wheat photosynthesis and respiration for Kennedy Space Center experiments.
Recommendation The authors suggest the model could apply generally to crops in controlled environments.

Method / resourceobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The percentage decline in Δ F / Fm ′ 14s after dehydration correlated with cultivar drought susceptibility index at r = 0·72.

Outcome: percentage decrease of Δ F / Fm ′ 14se0
Value: r = 0·72e0
Comparator: drought susceptibility index (DSI)e0

Not reportedTaxonDirection

Verbatim

e0
“The percentage decrease of Δ F / Fm ′ 14s after dehydration was correlated with the drought susceptibility index (DSI) of the cultivars, evaluated on a yield basis and a significant correlation ( r = 0·72, P < 0·001) was found.”
✓ located verbatim in the source · abstract, characters 966–1193

Title

The quantum yield of photosynthetic electron transport evaluated by chlorophyll fluorescence as an indicator of drought tolerance in durum wheat

Z. Flagella; D. Pastore; R. G. Campanile; et al. The Journal of Agricultural Science 1995. doi:10.1017/s0021859600084823

Other claims from this paper (4)

Intervention effect Dehydration lowered leaf Δ F / Fm ′ 14s by an average of 20%.
Intervention effect The 200-second Δ F / Fm ′ measure showed no great difference between dehydrated and control leaves.
Intervention effect The 14-second Fv ′/ Fm ′ measure showed no great difference between dehydrated and control leaves.
Intervention effect The 200-second Fv ′/ Fm ′ measure showed no great difference between dehydrated and control leaves.

Method / resourceobservedoriginal resultno effectprojected

Claim · model-written summary

EPIC projected no change in corn yield under the fine scale scenario.

Taxon: cornZea mays subsp. mayst0
Direction: no changee0
Comparator: fine scale scenarioe0

Not reportedOutcomeValue

Verbatim

e0
“EPIC simulated a decrease for the coarse scenario but no change for the fine scale scenario”
✓ located verbatim in the source · abstract, characters 568–659

t0
“for wheat and corn”
✓ located verbatim in the source · abstract, characters 61–79

Title

Comparative responses of EPIC and CERES crop models to high and low spatial resolution climate change scenarios

L. O. Mearns; T. Mavromatis; E. Tsvetsinskaya; et al. Journal of Geophysical Research Atmospheres 1999. doi:10.1029/1998jd200061

Other claims from this paper (5)

Method / resource CERES projected moderate corn yield decreases under both scenarios.
Method / resource EPIC projected a corn yield decrease under the coarse scenario.
Method / resource The models also differed in simulated wheat yields.
Mechanism Model differences in yield arose from contrasting formation of final yield despite similar potential biomass simulation.
Method / resource Crop model type was identified as an uncertainty in impact assessment alongside climate scenario spatial resolution.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Adding Landsat TM data reduced classification standard error from 6% to 5%.

Taxon: Cropt0
Outcome: standard errore0
Direction: decreaseinferrede0
Value: 5%e0
Qualifier: 6%e0
Comparator: TM was ignorede0

Verbatim

e0
“The standard error was 5% when TM data were included, versus 6% when TM was ignored”
✓ located verbatim in the source · abstract, characters 692–775

t0
“Crop yield prediction”
✓ located verbatim in the source · title, characters 0–21

Title

Crop yield prediction using a CMAC neural network

George Simpson Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 1994. doi:10.1117/12.196712

Other claims from this paper (1)

Method / resource Weekly combined crop classification and yield predictions were feasible for Europe at 1 km resolution for 100 crops using five workstations.

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“yield decrease”

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