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“yield decrease”

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Mechanismauthor interpretationoriginal resultnegativemeasured

Claim · model-written summary

The decrease in kernels per ear largely caused the decrease in maize grain yield.

Taxon: maizeZea mayst0
Outcome: decrease in grain yielde4
Qualifier: largely caused by the decrease in kernels per eare4

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.
Association The decrease in kernels per ear was associated with the decrease in grain yield (r2 = 0.88, P < 0.001).
Recommendation Guaranteeing water supply for maize during the reproductive stage is crucially important to avoid yield loss.

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.

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.

Intervention effectobservedoriginal resultnegativenot significant (as stated)measured

Claim · model-written summary

Thiourea tended to decrease straw yield nonsignificantly.

Taxon: wheatTriticum aestivumt0
Treatment: application of TUe0
Outcome: straw yielde0
Direction: decreasee0

Not reportedComparator

Verbatim

e0
“While the straw yield showed a decrease trend with the application of TU. Decrease in straw yield, although marginal was statistically insignificant.”
✓ located verbatim in the source · abstract, characters 1068–1217

t0
“Wheat”
✓ located verbatim in the source · title, characters 39–44

Title

Genetic Expression of Yield Ability in Wheat (Triticum aestivum L.) under Sulphydryl Enriched Biophysio-Environment

PC Gupta; Shiv Narayan; PS Shekhawat; et al. INROADS- An International Journal of Jaipur National University 2013. doi:10.5958/j.2277-4912.2.1.004

Other claims from this paper (8)

Observation The four wheat varieties differed significantly in yield and yield attributes.
Association Variety by thiourea dose interaction was nonsignificant.
Observation Thiourea at 5 and 10 kg/ha tended to increase wheat yield components.
Intervention effect Thiourea at 10 kg/ha increased harvest index by 10.11%.
Observation Thiourea at 20 kg/ha raised harvest index only marginally by 4.75.
Intervention effect Thiourea at 10 kg/ha significantly increased grain yield by 8.0%.
Intervention effect Thiourea at 5 kg/ha slightly increased grain yield over control.
Intervention effect Thiourea at 20 kg/ha slightly increased grain yield over control but reduced it versus 10 kg/ha.

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 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.

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.

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

The decrease in annual growth rate of rice area and yield resulted in a decrease in the annual growth rate of rice production.

Taxon: riceOryza sativae0
Outcome: annual growth rate of rice productione7
Direction: decreasee7
Qualifier: The decrease of annual growth rate of rice area and yielde7

Verbatim

e0
“An approach to increase rice yield and production was discussed”
✓ located verbatim in the source · abstract, characters 10–73

e7
“The decrease of annual growth rate of rice area and yield resulted in the decrease of annual growth rate of rice production”
✓ located verbatim in the source · abstract, characters 1070–1193

Title

Analysis of status and constraints of rice production in the world.

Defeng Zhu; Cheng ShiHua; Zhang Yu-ping; et al. Zhongguo nongye Kexue 2010

Other claims from this paper (19)

Observation Rice planting area increased by 32% from 1961 to 2006.
Observation Rice yield increased 1.21 times, mainly due to semi-dwarf varieties and hybrids.
Observation Rice production increased 1.92 times.
Observation Planting area increase contributed 27% of the increase of rice production.
Observation Yield increase contributed 73% of the increase of rice production.
Observation The annual growth rate of rice planting area decreased significantly since the 1960s.
Observation The annual growth rate of rice yield was 2.58% in the 1980s.
Observation The annual growth rate of rice yield was 0.98% in the 1990s.
Observation The annual growth rate of rice yield was 1.16% after 2000.
Observation The annual growth rate of rice production was 2.73% in the 1980s.
Observation The annual growth rate of rice production was 1.48% in the 1990s.
Observation The annual growth rate of rice production was 0.88% after 2000.
Observation More frequent pest damage and natural disasters limit rice production.
Observation Low contribution of rice production technology to yield increase limits rice production.
Observation Yield is declining in the multiple-cropping system, limiting rice production.
Observation Low production profit limits rice production.
Recommendation The authors recommend breeding of high-yielding varieties and hybrids and practice of new Africa rice varieties in Africa to increase global rice yield.
Recommendation The authors recommend integrated rice management technology to reduce the yield gap.
Recommendation The authors recommend mechanized rice production technology and enhanced policy support for rice production.

Intervention effectauthor interpretationoriginal resultnegativemeasured

Claim · model-written summary

Irrigation without intensive nutrient management may decrease maize yield.

Taxon: maizeZea mayst0
Treatment: Irrigatione0
Outcome: yielde0
Direction: decreasee0
Comparator: without intensive nutrient managemente0

Verbatim

e0
“Irrigation is not enough in itself without intensive nutrient management, since it may lead to yield decrease.”
✓ located verbatim in the source · abstract, characters 1512–1622

t0
“maize”
✓ located verbatim in the source · title, characters 41–46

Title

The scientific background of competitive maize production

János Nagy; Adrienn Széles Acta Agraria Debreceniensis 2018. doi:10.34101/actaagrar/150/1700

Other claims from this paper (6)

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Seed cotton yield tended to decrease as weed density increased.

Taxon: cottonGossypium hirsutumt0
Treatment: weed densitye0
Interactor: Goosegrasst1weed
Outcome: Seed cotton yielde0
Direction: decreasee0

Verbatim

e0
“Seed cotton yield tended to decrease with the increase in weed density”
✓ located verbatim in the source · abstract, characters 379–449

t0
“cotton”
✓ located verbatim in the source · title, characters 48–54

t1
“Goosegrass”
✓ located verbatim in the source · title, characters 0–10

Title

Goosegrass (Eleusine indica) density effects on cotton (Gossypium hirsutum)

Xiao-yan MA; Han-wen WU; Wei-li JIANG; et al. Journal of Integrative Agriculture 2015. doi:10.1016/s2095-3119(15)61058-9

Other claims from this paper (10)

Intervention effect Goosegrass at 4 plants per metre of row significantly reduced cotton yield by 20 to 27%.
Intervention effect The regression model predicted a 50% cotton yield loss at 11.6–19.2 goosegrass plants per metre of row.
Intervention effect Boll production was unaffected in the early growing season.
Intervention effect At 4 plants per metre of row, boll numbers per cotton plant fell about 25% late in the growing season.
Intervention effect Cotton boll weight and seed numbers per boll were significantly reduced by 8% at 4 goosegrass plants per metre of row.
Intervention effect Cotton height, stem diameter and sympodial branch number were less affected than yield by goosegrass competition.
Intervention effect Seed index, lint percentage and lint fiber properties were unaffected by weed competition.
Association Intraspecific competition produced density-dependent goosegrass biomass per plant of 142–387 g dry weight at harvest.
Association Goosegrass biomass per square metre tended to increase quadratically with weed density.
Recommendation The authors conclude that effective goosegrass management is needed to protect cotton yield.

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