Try:droughtFusariumnitrogen fertilizerArabidopsisseed germination

“decrease in density”

17 matches

Claim types

Direction of the findings

plus 5 non-evaluative

Over time

2000 ’10 ’20

Refine ·

More filters

Clear filters

Taxon: winter wheat ✕

Taxon groups are the verbatim names found in the abstracts (case-insensitive), not normalised: maize, corn and Zea mays are separate groups here. The Organism view merges them through NCBI Taxonomy.

Observationobservedoriginal resultmixedmeasured

Claim · model-written summary

Bulk density under no tillage (NT) could increase or decrease

Taxon: winter wheatTriticum aestivume0
Treatment: NTe1
Outcome: bulk density (BD)e1
Direction: increase or decreasee1

Verbatim

e0
“for winter wheat crops”
✓ located verbatim in the source · abstract, characters 319–341

e1
“The results revealed that physical properties such as bulk density (BD) can increase or decrease under NT, while soil water content (SWC) increased under the same system”
✓ located verbatim in the source · abstract, characters 800–969

Title

Long-Term Effect of Tillage Practices on Soil Physical Properties and Winter Wheat Yield in North-East Romania

Segla Serginho Cakpo; Tudor George Aostăcioaei; Gabriel-Dumitru Mihu; et al. Agriculture 2025. doi:10.3390/agriculture15090989

Other claims from this paper (8)

Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

Moldboard tillage decreased soil bulk density.

Taxon: winter wheatTriticum aestivume1
Treatment: moldboard tillagee0
Outcome: soil bulk densitye0
Direction: decreasee0

Not reportedComparator

Verbatim

e0
“The use of moldboard tillage led to a decrease in soil bulk density”
✓ located verbatim in the source · abstract, characters 1157–1224

e1
“winter wheat crop formation”
✓ located verbatim in the source · title, characters 67–94

Title

Influence of biologization methods and soil cultivation systems on winter wheat crop formation

Razina Sabirova; Il'shat Vafin; Radik Safin Agrobiotechnologies and digital farming 2025. doi:10.12737/2782-490x-2025-40-48

Other claims from this paper (11)

Intervention effect No-till slightly increased soil bulk density within optimal wheat values.
Intervention effect Zero tillage slightly increased soil bulk density within optimal wheat values.
Intervention effect Forage peas plus moldboard plowing maximized productive soil moisture at wheat heading.
Intervention effect Zero tillage with white mustard maximized soil biological activity.
Intervention effect Zero tillage with vetch-oat mixture maximized soil biological activity.
Intervention effect Forage pea fallow with no-till gave the highest Skipetr wheat yield, 4.89 t/ha.
Observation Grain gluten met class 1 standard across all variants.
Observation Other grain indicators generally met class 3 requirements.
Intervention effect Forage pea green manure with no-moldboard cultivation yielded class 2 grain.
Intervention effect Vetch-oat fallow with no-till yielded class 2 grain.
Recommendation The authors recommended forage pea green manure with no-moldboard cultivation as optimal.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Plant density decreased from germination to earing across all predecessors.

Taxon: winter wheatTriticum aestivumt0
Organ / stage: germination phase to earinge0
Outcome: plant densitye0
Direction: decreasee0

Verbatim

t0
“winter wheat”
✓ located verbatim in the source · title, characters 100–112

e0
“A decrease in plant density was observed from the germination phase to earing and for all the predecessors”
✓ located verbatim in the source · abstract, characters 1745–1851

Title

The influence of weather and climatic conditions on the phenological indicators and productivity of winter wheat cultivated by direct seeding technology in the arid zone of the Stavropol Territory

Elena Vyacheslavovna Pismennaya; Margarita Yurevna Azarova; Anna Anatolevna Belyaeva The Agrarian Scientific Journal 2021. doi:10.28983/asj.y2021i6pp21-26

Other claims from this paper (17)

Association Winter wheat growth, development, and productivity depended on weather and climatic conditions.
Observation Annual precipitation tended to decrease from 37.6 to 14.4 mm.
Observation Temperature increased from 9.6 to 12.3 °C.
Observation NDVI increased from 0.456 to 0.491.
Association Combined factors did not reliably predict winter wheat productivity.
Association Sowing shifted later in response to external conditions.
Observation The largest average linear deviation of the indicator occurred in 2020 and was 6.4444.
Observation Seedling variation across varieties and predecessors averaged 9%.
Observation Seedling variation was lowest after chickpeas, at 7.5%.
Observation Grain crop seedlings appeared 19–20 days after sowing.
Observation Phenological indexes were highly heterogeneous across phases except tillering, whose coefficient of variation was 8.6–9.0%.
Observation Mean seedling density was 379 plants per square meter.
Observation Seedling density variation was uniform across varieties and predecessors at 3.65%.
Observation The largest density loss for Zustrich after sunflower was 7.3%.
Observation The largest density loss for Zustrich after chickpeas was 10.2%.
Observation Wheat yields after sunflower ranged from 301 to 450 t/ha over 2018–2020.
Observation Wheat yields after chickpeas ranged from 326 to 468 t/ha over 2018–2020.

Intervention effectobservedoriginal resultno effectmeasured

Claim · model-written summary

The treatments did not decrease weed competition or wheat yield losses in the treatment year.

Taxon: Winter WheatTriticum aestivumt0
Treatment: both treatmentse0
Outcome: weed competition and yield lossese0
Direction: did not decreasee0

Not reportedComparator

Verbatim

e0
“both treatments did not decrease weed competition and yield losses in the year of treatment”
✓ located verbatim in the source · abstract, characters 2680–2771

t0
“Impact of Panicle Cutting and Chaff Milling on the Panicle and Seed Density of Three Grass Weeds and Grain Yield of Winter Wheat”
✓ located verbatim in the source · title, characters 0–128

Title

Impact of Panicle Cutting and Chaff Milling on the Panicle and Seed Density of Three Grass Weeds and Grain Yield of Winter Wheat

Roland Gerhards; Klaus Gehring; Theresa Ann Piskáčková; et al. Weed Research 2026. doi:10.1111/wre.70045

Other claims from this paper (12)

Intervention effect Cutting reduced A. myosuroides panicle density by 22%.
Intervention effect Cutting reduced B. sterilis panicle density by 47%.
Intervention effect Cutting reduced L. multiflorum panicle density by 63%.
Observation Most B. sterilis panicles were below the wheat canopy at the second cutting.
Intervention effect Milling destroyed 39% of A. myosuroides seeds in chaff.
Intervention effect Milling destroyed 78% of L. multiflorum seeds in chaff.
Intervention effect Milling destroyed 90% of B. sterilis seeds in chaff.
Observation Grass weeds retained 40%–60% of seeds on panicles until harvest.
Intervention effect Combined cutting and milling reduced A. myosuroides seed density by 10%.
Intervention effect Combined cutting and milling reduced B. sterilis seed density by 63%.
Intervention effect Combined cutting and milling reduced L. multiflorum seed density by 85%.
Recommendation Authors recommend combining these measures with other weed control measures.

Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

Herbicide use with fewer cultivations increased fallow soil density by 0.02 g/cm3.

Taxon: winter wheatTriticum aestivumt0
Treatment: use of the herbicide in black fallow with a decrease in the number of cultivationse0
Outcome: densitye0
Direction: increasese0
Value: 0.02 g/cm3e0

Not reportedComparator

Verbatim

e0
“The use of the herbicide in black fallow with a decrease in the number of cultivations increases the density by 0.02 g/cm3”
✓ located verbatim in the source · abstract, characters 408–530

t0
“winter wheat”
✓ located verbatim in the source · title, characters 106–118

Title

The influence of black fallow preparation methods on agrophysical properties, soil mois-ture and yield of winter wheat in the Lower Volga region

Anatoly Petrovich Solodovnikov; Vladimir Nikolaevich Maksimchuk The Agrarian Scientific Journal 2024. doi:10.28983/asj.y2024i1pp56-60

Other claims from this paper (9)

Intervention effect Non-moldboard fallow preparation increased spring soil density by 5.9%.
Intervention effect Non-moldboard fallow preparation reduced spring water permeability by 22%.
Intervention effect At autumn sowing, non-moldboard preparation increased soil density by 2.8 %.
Intervention effect At autumn sowing, non-moldboard preparation reduced soil permeability by 24%.
Intervention effect Herbicide use with fewer cultivations reduced water permeability by 5.3 mm/h.
Intervention effect Classical plowing retained 0.57% more soil moisture than non-moldboard cultivation at autumn wheat sowing.
Intervention effect Integrated weed control retained 0.25% more moisture than agricultural practices.
Intervention effect Integrated weed control increased wheat yield by 0.06 t/ha with non-moldboard cultivation.
Intervention effect Integrated weed control increased wheat yield by 0.11 t/ha with moldboard cultivation.

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

The other stated weed-density increment was associated with a 0.008 t/ha yield decrease.

Taxon: winter wheatTriticum aestivumt0
Interactor: weedst0weed
Outcome: winter wheat yielde1
Direction: decreaseinferrede0
Value: 0.008 t/ha (0.22%)e0
Qualifier: 1 copy/m2e0

Verbatim

e0
“from 1 copy/m2 – 0.008 t/ha (0.22%)”
✓ located verbatim in the source · abstract, characters 802–837

t0
“CHEMICAL PROTECTION OF WINTER WHEAT FROM WEEDS IN THE ZONE OF COMMON CHERNOZEM OF THE VOLGOGRAD REGION”
✓ located verbatim in the source · title, characters 0–102

e1
“The losses of winter wheat yield from weeds, depending on the state of sowing and the type of contamination, ranged from 1 to 24% (0.06...0.69 t/ha).”
✓ located verbatim in the source · abstract, characters 278–427

Title

CHEMICAL PROTECTION OF WINTER WHEAT FROM WEEDS IN THE ZONE OF COMMON CHERNOZEM OF THE VOLGOGRAD REGION

FSC of Agroecology RAS; A. I. Belyaev; V. N. Pavlenko; et al. Theoretical & applied problems of agro-industry 2022. doi:10.32935/2221-7312-2022-53-3-16-19

Other claims from this paper (7)

Observation Weeds caused winter wheat yield losses of 1–24%.
Observation Wintering weed species accounted for the main crop shortage.
Association Each 1% projected weed coverage was associated with a 0.013 t/ha decrease in wheat yield.
Intervention effect New combined herbicides containing two to three active substances increased weed control.
Intervention effect The herbicides stopped weed development from the first days of application.
Intervention effect The herbicides completely destroyed weeds after four to six weeks.
Recommendation Authors recommend broader combined or newer herbicides for greater weed destruction.

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Repeated crops had 22,6% lower standing density.

Taxon: winter wheatTriticum aestivumt0
Treatment: repeated cropse0
Outcome: density of standinge1
Direction: decreaseinferrede1
Value: 22,6%e0

Verbatim

e0
“and in repeated crops by 22,6%, 45,3% and 2,7 times, respectively.”
✓ located verbatim in the source · abstract, characters 1646–1712

e1
“the density of standing decreased”
✓ located verbatim in the source · abstract, characters 1519–1552

t0
“winter wheat”
✓ located verbatim in the source · title, characters 60–72

Title

The influence of weather conditions on the formation of the winter wheat harvest according to various precursors in the arid zone of Stavropol

N. A. Morozov; N. A. Khodzhaeva; I. V. Prokhorova; et al. Agrarian science 2024. doi:10.32634/0869-8155-2024-385-8-155-160

Other claims from this paper (11)

Association Winter wheat yield depended significantly on precipitation, moisture and May temperature.
Association Winter wheat yield was determined by plant density and 1000 grain weight.
Association Maximum yield occurred with September to October precipitation over 117 mm.
Association Standing density decreased 12,2% compared with pure steam.
Association Yield decreased 19,2% compared with pure steam.
Association Germination duration increased 1.4 times compared with pure steam.
Association Repeated crops had 45,3% lower yield.
Association Repeated crops had 2,7 times longer germination duration.
Association Thousand grain mass was positively related to density under half-steam.
Association Thousand grain mass was negatively related to May to June temperature under pure steam.
Association Yield related more closely to grain mass than standing density.

Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Deep urea placement increased root length and weight densities at 20–60 cm.

Taxon: winter wheatTriticum aestivumt0
Organ / stage: roote0
Treatment: Deep urea placemente0
Outcome: root length density and root weight densitye0
Direction: increasede0
Qualifier: 20–60 cm soil layere0

Not reportedComparator

Verbatim

e0
“Deep urea placement significantly increased root length density and root weight density in the 20–60 cm soil layer”
✓ located verbatim in the source · abstract, characters 668–782

t0
“winter wheat”
✓ located verbatim in the source · title, characters 122–134

Title

Optimizing urea deep placement to rainfall can maximize crop water-nitrogen productivity and decrease nitrate leaching in winter wheat

Yingxin Wang; Qin Guo; Yirui Xu; et al. Agricultural Water Management 2022. doi:10.1016/j.agwat.2022.107971

Other claims from this paper (16)

Intervention effect Deep urea placement increased grain nitrogen content by 1.2–18.7% in dry and normal years.
Intervention effect Deep urea placement increased nitrogen recovery efficiency by 0.9–16.7% in dry and normal years.
Intervention effect Deep urea placement increased nitrogen partial productivity by 1.1–20.0% in dry and normal years.
Intervention effect D15 increased nitrogen uptake by 0.9% over D5 in the wet year.
Intervention effect D15 increased grain nitrogen content by 1.3% over D5 in the wet year.
Intervention effect D15 increased nitrogen recovery efficiency by 3.7% over D5 in the wet year.
Intervention effect D15 increased nitrogen partial productivity by 1.1% over D5 in the wet year.
Intervention effect Deep urea placement increased crop water productivity by 9.6–23.9% in dry and normal years.
Intervention effect Deep urea placement increased yield by 3.2–20.0% in dry and normal years.
Intervention effect D15 increased water productivity by 1.1% over D5 in the wet year.
Intervention effect D15 increased yield by 0.5% over D5 in the wet year.
Intervention effect Deep urea placement raised soil nitrate accumulation by 4.7–14.5% compared with D5.
Observation Urea placement at 28.0–30.0 cm maximized wheat yield, grain nitrogen content and water productivity in dry years.
Observation Urea placement at 20.7–21.6 cm maximized wheat yield, grain nitrogen content and water productivity in normal years.
Observation Urea placement at 12.3–13.1 cm maximized wheat yield, grain nitrogen content and water productivity in wet years.
Recommendation The authors recommend adjusting moderate urea placement depth to precipitation conditions.

Observationobservedoriginal resultmeasured

Claim · model-written summary

The largest density loss for Zustrich after sunflower was 7.3%.

Taxon: winter wheatTriticum aestivumt0
Material: Zustrich varietye0
Outcome: plant densitye1
Direction: largeste0
Value: 7.3 %e0
Comparator: sunflowere0

Verbatim

t0
“winter wheat”
✓ located verbatim in the source · title, characters 100–112

e0
“the largest for the Zustrich variety – 7.3 % and 10.2 % for sunflower and chickpeas, respectively”
✓ located verbatim in the source · abstract, characters 1853–1950

e1
“A decrease in plant density was observed from the germination phase to earing and for all the predecessors”
✓ located verbatim in the source · abstract, characters 1745–1851

Title

The influence of weather and climatic conditions on the phenological indicators and productivity of winter wheat cultivated by direct seeding technology in the arid zone of the Stavropol Territory

Elena Vyacheslavovna Pismennaya; Margarita Yurevna Azarova; Anna Anatolevna Belyaeva The Agrarian Scientific Journal 2021. doi:10.28983/asj.y2021i6pp21-26

Other claims from this paper (17)

Association Winter wheat growth, development, and productivity depended on weather and climatic conditions.
Observation Annual precipitation tended to decrease from 37.6 to 14.4 mm.
Observation Temperature increased from 9.6 to 12.3 °C.
Observation NDVI increased from 0.456 to 0.491.
Association Combined factors did not reliably predict winter wheat productivity.
Association Sowing shifted later in response to external conditions.
Observation The largest average linear deviation of the indicator occurred in 2020 and was 6.4444.
Observation Seedling variation across varieties and predecessors averaged 9%.
Observation Seedling variation was lowest after chickpeas, at 7.5%.
Observation Grain crop seedlings appeared 19–20 days after sowing.
Observation Phenological indexes were highly heterogeneous across phases except tillering, whose coefficient of variation was 8.6–9.0%.
Observation Mean seedling density was 379 plants per square meter.
Observation Seedling density variation was uniform across varieties and predecessors at 3.65%.
Observation Plant density decreased from germination to earing across all predecessors.
Observation The largest density loss for Zustrich after chickpeas was 10.2%.
Observation Wheat yields after sunflower ranged from 301 to 450 t/ha over 2018–2020.
Observation Wheat yields after chickpeas ranged from 326 to 468 t/ha over 2018–2020.

Observationobservedoriginal resultmeasured

Claim · model-written summary

The largest density loss for Zustrich after chickpeas was 10.2%.

Taxon: winter wheatTriticum aestivumt0
Material: Zustrich varietye0
Outcome: plant densitye1
Direction: largeste0
Value: 10.2 %e0
Comparator: chickpease0

Verbatim

t0
“winter wheat”
✓ located verbatim in the source · title, characters 100–112

e0
“the largest for the Zustrich variety – 7.3 % and 10.2 % for sunflower and chickpeas, respectively”
✓ located verbatim in the source · abstract, characters 1853–1950

e1
“A decrease in plant density was observed from the germination phase to earing and for all the predecessors”
✓ located verbatim in the source · abstract, characters 1745–1851

Title

The influence of weather and climatic conditions on the phenological indicators and productivity of winter wheat cultivated by direct seeding technology in the arid zone of the Stavropol Territory

Elena Vyacheslavovna Pismennaya; Margarita Yurevna Azarova; Anna Anatolevna Belyaeva The Agrarian Scientific Journal 2021. doi:10.28983/asj.y2021i6pp21-26

Other claims from this paper (17)

Association Winter wheat growth, development, and productivity depended on weather and climatic conditions.
Observation Annual precipitation tended to decrease from 37.6 to 14.4 mm.
Observation Temperature increased from 9.6 to 12.3 °C.
Observation NDVI increased from 0.456 to 0.491.
Association Combined factors did not reliably predict winter wheat productivity.
Association Sowing shifted later in response to external conditions.
Observation The largest average linear deviation of the indicator occurred in 2020 and was 6.4444.
Observation Seedling variation across varieties and predecessors averaged 9%.
Observation Seedling variation was lowest after chickpeas, at 7.5%.
Observation Grain crop seedlings appeared 19–20 days after sowing.
Observation Phenological indexes were highly heterogeneous across phases except tillering, whose coefficient of variation was 8.6–9.0%.
Observation Mean seedling density was 379 plants per square meter.
Observation Seedling density variation was uniform across varieties and predecessors at 3.65%.
Observation Plant density decreased from germination to earing across all predecessors.
Observation The largest density loss for Zustrich after sunflower was 7.3%.
Observation Wheat yields after sunflower ranged from 301 to 450 t/ha over 2018–2020.
Observation Wheat yields after chickpeas ranged from 326 to 468 t/ha over 2018–2020.

Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.

“decrease in density”

Claim types

Direction of the findings

Over time

Claim type

Research area

Polarity

Statistics