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“yield decrease”

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Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Factors raising Ca concentration while lowering Mg concentration were associated with reduced yield.

Taxon: winter oilseed rapeBrassica napust0
Compound: Ca but decrease in Mge0
Outcome: yielde0
Direction: decreasee0

Verbatim

e0
“each factor leading to increase in Ca but decrease in Mg concentration resulted in yield decrease”
✓ located verbatim in the source · abstract, characters 948–1045

t0
“winter oilseed rape”
✓ located verbatim in the source · title, characters 22–41

Title

Nutritional status of winter oilseed rape in cardinal stages of growth as the yield indicator

W. Szczepaniak; W. Grzebisz; J. Potarzycki; et al. Plant Soil and Environment 2015. doi:10.17221/150/2015-pse

Other claims from this paper (3)

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

A 20% irrigation reduction decreased yield to 53.1 t/ha, a 9.7% decrease.

Taxon: potatoesSolanum tuberosume1
Treatment: decrease in the irrigation rate by 20 % in option 3e0
Outcome: yielde0
Direction: decreasee0
Value: 53.1e0
Qualifier: 9.7 %e0

Not reportedComparator

Verbatim

e0
“a decrease in the irrigation rate by 20 % in option 3 and by 40 % in option 4 led to a decrease in yield to 53.1 and 43.7 t/ha, respectively, but when the irrigation rate decreases by 20 % in option 3, the yield decreases only 9.7 %”
✓ located verbatim in the source · abstract, characters 1585–1817

e1
“spring planted potatoes”
✓ located verbatim in the source · abstract, characters 127–150

Title

WATER AVAILABILITY INFLUENCE ON YIELD AND WATER CONSUMPTION OF POTATO ON THE BLACK-EARTH SOILS OF VOLGOGRAD REGION

A. A. Novikov Scientific Journal of Russian Scientific Research Institute of Land Improvement Problems 2020. doi:10.31774/2222-1816-2020-3-38-51

Other claims from this paper (6)

Intervention effect Option 2 produced the greatest plant height, 0.74 m.
Intervention effect Option 2 had the greatest leaf area in budding and flowering, 30.9 and 30.1 thousand m²/ha.
Intervention effect Higher water availability in option 2 did not produce greater oven dry mass.
Intervention effect Marketable tuber productivity was 58.8 t/ha in option 1 versus 55.9 t per ha in option 2.
Observation The reported yield was lower than control; differences were within LSD in 2016 and 2017 and significant in 2015.
Intervention effect A 40% irrigation reduction decreased productivity to 43.7 t/ha, a 25.6% decrease.

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

A 10 percent reduction in rainfall gave a small decrease in soybean yield under the climatic grid.

Taxon: Glycine maxGlycine maxe0
Treatment: 10 percent reduction in rainfalle1
Outcome: yielde1
Direction: decreasee1
Qualifier: smalle1

Not reportedComparator

Verbatim

e0
“Soybean [Glycine max (L.) Merr.]”
✓ located verbatim in the source · abstract, characters 0–32

e1
“The climatic grid of 10 percent reduction in rainfall from recent decade 1998-2008 showed small decrease in yield”
✓ located verbatim in the source · abstract, characters 1774–1887

Title

Modeling impacts and adaptations of climate change on soybean (Glycine max) production in Himachal Pradesh, India

RANBIR SINGH RANA; NAVELL CHANDER; ROHIT SHARMA; et al. The Indian Journal of Agricultural Sciences 2014. doi:10.56093/ijas.v84i10.44115

Other claims from this paper (12)

Method / resource The validated InfoCrop model had an RMSE of 8.8 days for days to maturity of soybean.
Method / resource The validated InfoCrop model had an RMSE of 190.4 kg/ha for soybean crop yield.
Intervention effect Elevated carbon dioxide at 50 and 100 ppm increased simulated soybean yield by 5.0 to 10.2 percent.
Intervention effect Projected yield losses from a 1 degree C temperature rise alone were 1.3 to 3.5 percent for soybean.
Intervention effect Projected yield losses from a 2 degree C temperature rise alone were 4.5 to 6.0 percent for soybean.
Intervention effect A 1 degree C rise with 50 ppm elevated carbon dioxide increased soybean yield by up to 4.9 percent.
Intervention effect A 1 degree C rise with 50 ppm elevated carbon dioxide shortened the average growing period of soybean by up to 2 days.
Intervention effect A 2 degree C rise with 50 ppm elevated carbon dioxide increased simulated soybean yield by up to 2.3 percent compared with control conditions.
Intervention effect A 1 degree C rise with 100 ppm elevated carbon dioxide increased soybean yield by 8.8 to 10.2 percent in all planting windows.
Intervention effect A 2 degree C rise with 100 ppm elevated carbon dioxide gave a soybean yield gain 3.1 to 3.9 percent lower than a 1 degree C rise.
Intervention effect Soybean yield increased by 5.2 to 8.5 percent with 50 ppm elevated carbon dioxide and a 1 degree C rise, when coupled with the 10 percent rainfall reduction.
Association Rise of temperature with elevated carbon dioxide generally increases soybean yield in the region.

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

The grain yield decrease at higher salinity was larger in the salt-resistant variety than in salt-sensitive varieties.

Taxon: RiceOryza sativat0
Material: salt resistant varietye5
Outcome: decrease in grain yielde5
Direction: largere5
Comparator: salt sensitive varietiese5

Verbatim

t0
“Rice cultivars responses to different salinity levels”
✓ located verbatim in the source · title, characters 0–53

e5
“The decrease in grain yield was larger in salt resistant variety, than in salt sensitive varieties”
✓ located verbatim in the source · abstract, characters 1173–1271

Title

Rice cultivars responses to different salinity levels at coastal agricultural land of Yogyakarta

B Kurniasih; U Hasanah; N Muflikhah; et al. IOP Conference Series Earth and Environmental Science 2021. doi:10.1088/1755-1315/686/1/012026

Other claims from this paper (5)

Observation IR 64 and Situbagendit showed hardly any significant difference in most growth and yield variables.
Association Dendang, the salt-resistant rice, had the highest chlorophyll content at 2.5 dS.m −1 salinity.
Intervention effect Salinity up to 2.5 dS.m −1 increased stomatal conductance, shoot dry biomass and grain yield of rice.
Intervention effect Higher salinity levels decreased grain yield of rice.
Intervention effect Adding salinity up to 2.5 dS. m −1 in coastal sandy soil promoted better growth and yield of rice.

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Depending on soil erosion, grain yield can decrease by 10–80%.

Taxon: grain cropse4
Treatment: erosion of the soile2
Outcome: yielde2
Direction: decreasee2
Value: 10–80%e2

Verbatim

e2
“depending on the erosion of the soil, the yield can decrease by 10–80%”
✓ located verbatim in the source · abstract, characters 830–900

e4
“improvement of the nutritional regime and an increase in soil cultivation help reduce the negative impact of drought on the productivity of grain crops”
✓ located verbatim in the source · abstract, characters 988–1139

Title

Typing of Agricultural Landscapes in the Volgograd Region

A. M. Belyakov Arid Ecosystems 2021. doi:10.1134/s2079096121010030

Other claims from this paper (4)

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Short duration cultivar could decrease Chefa chickpea yield by 9% in baseline.

Taxon: chickpeaCicer arietinumt0
Material: short duration cultivare0
Treatment: short duration cultivare0
Outcome: grain yielde0
Direction: decreasee0
Value: 9%e0
Setting: Chefae0

Not reportedComparator

Verbatim

e0
“On the other hand, the short duration cultivar at Chefa site could decrease grain yield by 9%, 3% and 3% for the respective time periods.”
✓ located verbatim in the source · abstract, characters 1285–1422

t0
“chickpea”
✓ located verbatim in the source · title, characters 34–42

Title

Modeling climate change impact on chickpea production and adaptation options in the semi-arid North-Eastern Ethiopia

Adem Mohammed Ahmed; Tamado Tana; Piara Singh; et al. DOAJ (DOAJ: Directory of Open Access Journals) 2016. doi:10.12895/jaeid.2016110.510

Other claims from this paper (19)

Observation Projected chickpea grain yield at Sirinka increases 12% in the 2030s.
Observation Projected chickpea grain yield at Sirinka increases 13% in the 2050s.
Observation Projected chickpea grain yield at Chefa increases 5% in the 2030s.
Observation Projected chickpea grain yield at Chefa increases 7% in the 2050s.
Observation Projected chickpea grain yield at Sirinka increases 20% in the 2030s.
Observation Projected chickpea grain yield at Sirinka increases 34% in the 2050s.
Observation Projected chickpea grain yield at Chefa increases 12% in the 2030s.
Observation Projected chickpea grain yield at Chefa increases 22% in the 2050s.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 11% in baseline versus the standard cultivar.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 10% in 2030s versus the standard cultivar.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 10% in 2050s versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 7% in baseline versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 9% in 2030s versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 10% in 2050s versus the standard cultivar.
Intervention effect Short duration cultivar could decrease Chefa chickpea yield by 3% in 2030s.
Intervention effect Short duration cultivar could decrease Chefa chickpea yield by 3% in 2050s.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 47% in baseline.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 47% in 2030s.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 46% in 2050s.

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Short duration cultivar could decrease Chefa chickpea yield by 3% in 2030s.

Taxon: chickpeaCicer arietinumt0
Material: short duration cultivare0
Treatment: short duration cultivare0
Outcome: grain yielde0
Direction: decreasee0
Value: 3%e0
Setting: Chefae0

Not reportedComparator

Verbatim

e0
“On the other hand, the short duration cultivar at Chefa site could decrease grain yield by 9%, 3% and 3% for the respective time periods.”
✓ located verbatim in the source · abstract, characters 1285–1422

t0
“chickpea”
✓ located verbatim in the source · title, characters 34–42

Title

Modeling climate change impact on chickpea production and adaptation options in the semi-arid North-Eastern Ethiopia

Adem Mohammed Ahmed; Tamado Tana; Piara Singh; et al. DOAJ (DOAJ: Directory of Open Access Journals) 2016. doi:10.12895/jaeid.2016110.510

Other claims from this paper (19)

Observation Projected chickpea grain yield at Sirinka increases 12% in the 2030s.
Observation Projected chickpea grain yield at Sirinka increases 13% in the 2050s.
Observation Projected chickpea grain yield at Chefa increases 5% in the 2030s.
Observation Projected chickpea grain yield at Chefa increases 7% in the 2050s.
Observation Projected chickpea grain yield at Sirinka increases 20% in the 2030s.
Observation Projected chickpea grain yield at Sirinka increases 34% in the 2050s.
Observation Projected chickpea grain yield at Chefa increases 12% in the 2030s.
Observation Projected chickpea grain yield at Chefa increases 22% in the 2050s.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 11% in baseline versus the standard cultivar.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 10% in 2030s versus the standard cultivar.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 10% in 2050s versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 7% in baseline versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 9% in 2030s versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 10% in 2050s versus the standard cultivar.
Intervention effect Short duration cultivar could decrease Chefa chickpea yield by 9% in baseline.
Intervention effect Short duration cultivar could decrease Chefa chickpea yield by 3% in 2050s.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 47% in baseline.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 47% in 2030s.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 46% in 2050s.

Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Short duration cultivar could decrease Chefa chickpea yield by 3% in 2050s.

Taxon: chickpeaCicer arietinumt0
Material: short duration cultivare0
Treatment: short duration cultivare0
Outcome: grain yielde0
Direction: decreasee0
Value: 3%e0
Setting: Chefae0

Not reportedComparator

Verbatim

e0
“On the other hand, the short duration cultivar at Chefa site could decrease grain yield by 9%, 3% and 3% for the respective time periods.”
✓ located verbatim in the source · abstract, characters 1285–1422

t0
“chickpea”
✓ located verbatim in the source · title, characters 34–42

Title

Modeling climate change impact on chickpea production and adaptation options in the semi-arid North-Eastern Ethiopia

Adem Mohammed Ahmed; Tamado Tana; Piara Singh; et al. DOAJ (DOAJ: Directory of Open Access Journals) 2016. doi:10.12895/jaeid.2016110.510

Other claims from this paper (19)

Observation Projected chickpea grain yield at Sirinka increases 12% in the 2030s.
Observation Projected chickpea grain yield at Sirinka increases 13% in the 2050s.
Observation Projected chickpea grain yield at Chefa increases 5% in the 2030s.
Observation Projected chickpea grain yield at Chefa increases 7% in the 2050s.
Observation Projected chickpea grain yield at Sirinka increases 20% in the 2030s.
Observation Projected chickpea grain yield at Sirinka increases 34% in the 2050s.
Observation Projected chickpea grain yield at Chefa increases 12% in the 2030s.
Observation Projected chickpea grain yield at Chefa increases 22% in the 2050s.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 11% in baseline versus the standard cultivar.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 10% in 2030s versus the standard cultivar.
Intervention effect short duration cultivar changes Sirinka chickpea yield by 10% in 2050s versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 7% in baseline versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 9% in 2030s versus the standard cultivar.
Intervention effect long duration cultivar changes Sirinka chickpea yield by 10% in 2050s versus the standard cultivar.
Intervention effect Short duration cultivar could decrease Chefa chickpea yield by 9% in baseline.
Intervention effect Short duration cultivar could decrease Chefa chickpea yield by 3% in 2030s.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 47% in baseline.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 47% in 2030s.
Intervention effect Supplemental irrigation could increase chickpea yield at Sirinka by 46% in 2050s.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

T4 had the smallest fresh-yield decrease, 15.83%, versus T5.

Taxon: Brassica ChinensisBrassica rapa subsp. chinensise0
Treatment: T4e0
Outcome: fresh yielde0
Direction: decreasee0
Value: 15.83%e0
Comparator: T5e0

Verbatim

e0
“Comparing with T5, the lowest and highest decrease in the fresh yield of Brassica Chinensis was found under T4(15.83%) and T3(41.63%) respectively.”
✓ located verbatim in the source · abstract, characters 1310–1457

Title

Effect of Fertigation Levels on Water Consumption, Soil Total Nitrogen, and Growth Parameters of Brassica Chinensis under Straw Burial

Ghulam Rasool; Guo Xiangping; Wang Zhenchang; et al. Communications in Soil Science and Plant Analysis 2020. doi:10.1080/00103624.2020.1845345

Other claims from this paper (11)

Intervention effect Straw burial saved 7.34% irrigation water in SS.
Intervention effect Straw burial saved 9.50% irrigation water in WS.
Intervention effect All treatments other than T5 decreased soil TN in D10 and D30 layers in both seasons.
Intervention effect Straw burial gave the highest increase in D20 soil TN.
Intervention effect T3 produced the highest decrease in leaf number, 35.78%, versus T5.
Intervention effect T3 produced the highest decrease in leaf area index, 66.27%, versus T5.
Intervention effect T4 gave the highest increase in shoot dry biomass, 16.95%, versus T5.
Intervention effect T4 gave the highest increase in root dry biomass, 6.14%, versus T5.
Intervention effect T3 had the greatest fresh-yield decrease, 41.63%, versus T5.
Intervention effect T4 gave the greatest increase in WUEs and PFPs versus T5.
Mechanism The authors conclude straw burial can store nitrogen in the upper root zone and alleviate effects of limited nitrogen and water.

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

T3 had the greatest fresh-yield decrease, 41.63%, versus T5.

Taxon: Brassica ChinensisBrassica rapa subsp. chinensise0
Treatment: T3e0
Outcome: fresh yielde0
Direction: decreasee0
Value: 41.63%e0
Comparator: T5e0

Verbatim

e0
“Comparing with T5, the lowest and highest decrease in the fresh yield of Brassica Chinensis was found under T4(15.83%) and T3(41.63%) respectively.”
✓ located verbatim in the source · abstract, characters 1310–1457

Title

Effect of Fertigation Levels on Water Consumption, Soil Total Nitrogen, and Growth Parameters of Brassica Chinensis under Straw Burial

Ghulam Rasool; Guo Xiangping; Wang Zhenchang; et al. Communications in Soil Science and Plant Analysis 2020. doi:10.1080/00103624.2020.1845345

Other claims from this paper (11)

Intervention effect Straw burial saved 7.34% irrigation water in SS.
Intervention effect Straw burial saved 9.50% irrigation water in WS.
Intervention effect All treatments other than T5 decreased soil TN in D10 and D30 layers in both seasons.
Intervention effect Straw burial gave the highest increase in D20 soil TN.
Intervention effect T3 produced the highest decrease in leaf number, 35.78%, versus T5.
Intervention effect T3 produced the highest decrease in leaf area index, 66.27%, versus T5.
Intervention effect T4 gave the highest increase in shoot dry biomass, 16.95%, versus T5.
Intervention effect T4 gave the highest increase in root dry biomass, 6.14%, versus T5.
Intervention effect T4 had the smallest fresh-yield decrease, 15.83%, versus T5.
Intervention effect T4 gave the greatest increase in WUEs and PFPs versus T5.
Mechanism The authors conclude straw burial can store nitrogen in the upper root zone and alleviate effects of limited nitrogen and water.

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“yield decrease”

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