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“yield decrease”

2,294 matches

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plus 814 non-evaluative

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plus 5 earlier · 1910s–1940s

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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.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Guard cell chloroplasts showed a slow fluorescence yield decrease equivalent to the mesophyll MT transition.

Taxon: Chlorophytum comosumChlorophytum comosumt0
Outcome: slow fluorescence yield decreasee0
Direction: decreasee0

Not reportedOrgan / stage

Verbatim

e0
“They also showed a slow fluorescence yield decrease, equivalent to the MT transition in mesophyll”
✓ located verbatim in the source · abstract, characters 402–499

t0
“Chlorophytum comosum”
✓ located verbatim in the source · abstract, characters 105–125

Title

Chlorophyll a Fluorescence Transients in Mesophyll and Guard Cells

Anastasios Melis; Eduardo Zeiger PLANT PHYSIOLOGY 1982. doi:10.1104/pp.69.3.642

Other claims from this paper (4)

Observation Guard cell chloroplasts showed the OPS fluorescence transient.
Observation Guard cell chloroplast fluorescence lacked the SM transition increment seen in mesophyll chloroplasts.
Intervention effect CO(2) inhibited the MT-equivalent transition in guard cell chloroplasts.
Intervention effect The absence of CO(2) accelerated the MT-equivalent transition.

Observationobservedreview summarynegativebasis n/a

Claim · model-written summary

Mycotoxins of phytopathogenic fungi lead to a decrease in the yield and quality of grain.

Compound: Mycotoxinse0
Outcome: yield and quality of graine0
Direction: decreasee0

Not reportedTaxon

Verbatim

e0
“Mycotoxins lead to a decrease in the yield and quality of grain”
✓ located verbatim in the source · abstract, characters 1157–1220

Title

The main mechanisms of environmentalization of the agricultural production

L. Havryliuk; I. Beznosko; O. Kichigina Balanced nature using 2023. doi:10.33730/2310-4678.3.2023.287828

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Varsha had a 13% yield decrease.

Taxon: okraAbelmoschus esculentust0
Material: Varshae0
Outcome: yielde0
Direction: decreasee0
Value: 13%e0

Verbatim

e0
“the minimum decrease in yield of 8 and 13% was recorded in BO-1 and Varsha”
✓ located verbatim in the source · abstract, characters 1167–1241

t0
“okra”
✓ located verbatim in the source · title, characters 33–37

Title

Morpho-physiological response of okra (Abelmoschus esculentum L.) genotypes to moisture stress during reproductive stage

R. M. Bhatt; N.K. Srinivasa Rao Indian Journal of Horticulture 2005

Other claims from this paper (12)

Intervention effect Moisture stress reduced relative water content from 72–82% in irrigated plants to 66–75%.
Observation BO-1 had the maximum relative water content during stress.
Intervention effect Stress reduced leaf area across genotypes by 25–70%.
Observation Pusa Makhamali had the greatest reduction in photosynthesis under stress, followed by IIHR-1685 and Arka Anamika.
Observation BO-1 maintained photosynthesis at 11.5 µmol m−2 s−1 after 10 days of stress.
Observation Varsha maintained photosynthesis at 9.7 µmol m−2 s−1 after 10 days of stress.
Observation Arka Abhay maintained photosynthesis at 8.8 µmol m−2 s−1 after 10 days of stress.
Observation Photosynthetic rate recovered significantly after stress release.
Intervention effect Further growth was considerably affected after stress release.
Intervention effect Moisture stress significantly decreased per-plant yield.
Observation IIHR-1685 had the greatest yield reduction.
Observation BO-1 had an 8% yield decrease.

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Susceptible Line 37-03 had 47.9% grain yield decrease.

Taxon: Bread WheatTriticum aestivumt0
Material: Line 37-03e0
Outcome: grain yielde0
Direction: decreasee0
Value: 47.9%e0

Verbatim

t0
“Bread Wheat”
✓ located verbatim in the source · title, characters 71–82

e0
“susceptible Line 37-03 recording a 47.9% decrease in grain yield”
✓ located verbatim in the source · abstract, characters 807–871

Title

Yield Loss Associated with Different Levels of Stem Rust Resistance in Bread Wheat

Tegwe Soko; Cornelia M. Bender; Renée Prins; et al. Plant Disease 2018. doi:10.1094/pdis-02-18-0307-re

Other claims from this paper (10)

Observation AUDPC distinguished moderately susceptible SC Stallion at 515.
Observation SC Nduna had AUDPC 995.
Observation Line 37-07 had AUDPC 1634.
Observation APR variety W1406 had AUDPC 256, above ASR SC Sky mean 25.
Observation APR variety W6979 had AUDPC 399, above ASR SC Sky mean 25.
Observation APR variety Kingbird had AUDPC 209, above ASR SC Sky mean 25.
Observation PTKST caused mean yield loss of 21.3% across protected and unprotected plots.
Observation APR W1406 had yield reduction of 19.5%.
Observation ASR SC Sky had mean yield loss of 6.4%.
Observation APR reduced effects of stem rust on yield but protected less than effective ASR under high disease pressure.

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

In 2023 there was a decrease in yield compared with near-normal precipitation in 2021.

Taxon: cornZea mays subsp. mayst0
Outcome: yielde1
Direction: decreasee1

Verbatim

e1
“there was a decrease in yield”
✓ located verbatim in the source · abstract, characters 1293–1322

t0
“corn”
✓ located verbatim in the source · title, characters 35–39

Title

Cover crops did not change optimal corn nitrogen rate over three variable precipitation seasons in the Western Corn Belt

Tauana Ferreira de Almeida; Lucas Pecci Canisares; Emily Robinson; et al. Agronomy Journal 2025. doi:10.1002/agj2.70129

Other claims from this paper (7)

Intervention effect Cover crops did not decrease corn grain yield at the AONR.
Intervention effect Cover crops did not increase the AONR compared with the no-cover crop treatment.
Observation In 2021, with near-normal precipitation, corn yield at the AONR and the AONR were the highest of the three years.
Observation In 2022, with about half the 30-year average rainfall, yield at the AONR decreased across treatments.
Intervention effect In 2023, cover crop treatments had no significant effect on the AONR.
Mechanism Weather was the dominant factor driving the AONR.
Recommendation The results do not support the need for higher N rates after winter cover crops.

Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Local tarom was the most cold-sensitive variety, with 29% yield decrease.

Taxon: riceOryza sativat0
Material: local tarom varietye0
Outcome: yield decreasee0
Direction: moste0
Value: 29%e0

Verbatim

e0
“the most sensitive one with most percentage of yield decrease (29%) was local tarom variety.”
✓ located verbatim in the source · abstract, characters 1547–1639

t0
“Rice Cultivars”
✓ located verbatim in the source · title, characters 62–76

Title

Temperature Effect on Yield and Yield Components of Different Rice Cultivars in Flowering Stage

R. Ghadirnezhad; A. Fallah International Journal of Agronomy 2014. doi:10.1155/2014/846707

Other claims from this paper (5)

Intervention effect Low temperature significantly affected panicle number.
Intervention effect Low temperature significantly affected panicle length.
Intervention effect Low temperature significantly affected numbers of full, empty and total grains.
Intervention effect Low temperature significantly reduced rice yield.
Observation Shirudi was the most cold-tolerant variety, with 19% yield decrease.

Observationobservedoriginal resultnegativeprojected

Claim · model-written summary

The largest projected alfalfa yield decrease is 9% in Siirt.

Taxon: alfalfaMedicago sativae1
Outcome: yielde0
Direction: decreasee0
Value: 9%e0
Setting: Siirte0

Verbatim

e0
“the maximum yield decrease will be noted in Siirt (9%)”
✓ located verbatim in the source · abstract, characters 1674–1728

e1
“Alfalfa yield for years 2020-2060”
✓ located verbatim in the source · abstract, characters 1019–1052

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.
Association Projected alfalfa yield decreases where precipitation decreases.
Observation The largest projected alfalfa yield increase is 6% in Artvin.

Observationauthor interpretationoriginal resultnegativemeasured

Claim · model-written summary

The disease causes a decrease in tobacco leaf yield.

Taxon: TobaccoNicotiana tabacumt0
Outcome: tobacco leaf yielde1
Direction: decreasee1

Verbatim

t0
“Causing Leaf Spot on Tobacco”
✓ located verbatim in the source · title, characters 47–75

e1
“The disease spreads widely and causes a decrease in tobacco leaf yield”
✓ located verbatim in the source · abstract, characters 3314–3384

Title

First Report of Pestalotiopsis trachycarpicola Causing Leaf Spot on Tobacco in China

Weili Gang; Weijun Sang; Yi Cao; et al. Plant Disease 2025. doi:10.1094/pdis-05-25-1076-pdn

Other claims from this paper (5)

Observationobservedoriginal resultnegativesimulated

Claim · model-written summary

The UKMO scenario was unfavourable and showed a considerable yield decrease.

Taxon: riceOryza sativae1
Outcome: yielde0
Direction: decreasee0
Qualifier: UKMO scenarioe0

Verbatim

e0
“the UKMO scenario is not favorable, showing a considerable yield decrease”
✓ located verbatim in the source · abstract, characters 836–909

e1
“rice, maize and wheat production in Japan”
✓ located verbatim in the source · abstract, characters 83–124

Title

The Impacts of Climatic Warming on Cereal Crop Production in Japan.

Hiroshi SEINO Journal of Agricultural Meteorology 1995. doi:10.2480/agrmet.51.131

Other claims from this paper (11)

Intervention effect Higher temperature decreased simulated cereal yields in many regions under current management.
Intervention effect Higher temperature shortened simulated cereal growing seasons in many regions.
Intervention effect Direct CO2 benefits may compensate for yield losses in central and northern Japan.
Intervention effect Direct CO2 benefits did not compensate for yield losses in Kyushu.
Association Simulated crop-yield changes varied greatly among GCM scenarios.
Observation The GISS scenario was generally favourable for Japanese crop production.
Observation Wheat production was vulnerable under every GCM climate-change scenario.
Intervention effect Earlier planting raised simulated yields under climate change in most cases.
Intervention effect Earlier planting did not improve simulated yields in Kyushu because of high temperature stress.
Recommendation Early planting and irrigation were proposed as adaptation strategies.
Recommendation New cultivars better adapted to climate change would be required in Kyushu.

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“yield decrease”

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