Paper · 2000 · PubMed

[Numerical simulation on maize growth in a regular windbreak system in Huanghuaihai Plain].

S Song; L Zhou; H Wang

8
claims
17
verbatim quotes
0
citations
4
research areas
—
Not open access

Abstract

The modified production ecological model SUCROS was used to simulate the growth process of summer corn with the protection of windbreaks in Huanghuaihai Plain, and the simulated result was compared with the field monitoring data. The effects of various physiological and ecological factors that affect the growth of the summer corn were analyzed. The modified SUCROS could simulate the growth process successfully. The leaf area index and organ biomass simulated by the model could be fairly consistent with the monitoring data when the effects of insect and disease pests and weeds were considered simultaneously. As compared with the simulated data in the monoculture field, the corn yield in the windbreak system was about 6.8% higher due to the improved microclimate. Based on the simulation of the relationships between sowing density, sowing date and seed production, the density standard for high yield in the region was 6.75-7.50 plants.m-2, even high as 9.00 plants.m-2 in the fields with sufficient soil nutrients and water supply. It is suggested that the optimal sowing period is from May 21 to June 5. Through simulating the influence of "cool summer" on the growth of summer corn in southern Huanghuaihai Plain, it was found that the growth period of corn would extend 3 to 4 days if the average air temperature during the growing period lowered by one degree. The "less radiation" and correspondent "lower temperature" were the direct reasons of yield reduction in "cool summer".

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Claims 8

Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

In the simulation, corn yield in the windbreak system was about 6.8% higher than in the monoculture field, attributed to improved microclimate.

Treatment
windbreak systeme1
Outcome
corn yielde1
Direction
highere1
Value
6.8%e1
Qualifier
due to the improved microclimatee1
Comparator
monoculture fielde1
Setting
Huanghuaihai Plaine2

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e1

“As compared with the simulated data in the monoculture field, the corn yield in the windbreak system was about 6.8% higher due to the improved microclimate”

✓ located verbatim in the source · abstract, characters 615–770 · show in text ↑
e2

“with the protection of windbreaks in Huanghuaihai Plain”

✓ located verbatim in the source · abstract, characters 103–158 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The modified SUCROS model simulated the growth process of summer corn successfully, compared with field monitoring data.

Taxon
summer cornZea mays subsp. mayse3
Outcome
growth processe1
Comparator
field monitoring datae2

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e1

“The modified SUCROS could simulate the growth process successfully”

✓ located verbatim in the source · abstract, characters 347–413 · show in text ↑
e2

“the simulated result was compared with the field monitoring data”

✓ located verbatim in the source · abstract, characters 164–228 · show in text ↑
e3

“simulate the growth process of summer corn”

✓ located verbatim in the source · abstract, characters 60–102 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Simulated leaf area index and organ biomass of corn were fairly consistent with monitoring data when insect and disease pests and weeds were considered.

Taxon
summer cornZea mays subsp. mayse3
Interactor
insect and disease pestse4pest
Second interactor
weedse4weed
Outcome
leaf area index and organ biomasse4
Comparator
monitoring datae4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e3

“simulate the growth process of summer corn”

✓ located verbatim in the source · abstract, characters 60–102 · show in text ↑
e4

“The leaf area index and organ biomass simulated by the model could be fairly consistent with the monitoring data when the effects of insect and disease pests and weeds were considered simultaneously”

✓ located verbatim in the source · abstract, characters 415–613 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Simulation indicated a sowing density standard for high yield of 6.75-7.50 plants m-2 in the region.

Taxon
summer cornZea mays subsp. mayse3
Outcome
density standard for high yielde5
Value
6.75-7.50 plants.m-2e5

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e3

“simulate the growth process of summer corn”

✓ located verbatim in the source · abstract, characters 60–102 · show in text ↑
e5

“the density standard for high yield in the region was 6.75-7.50 plants.m-2”

✓ located verbatim in the source · abstract, characters 874–948 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Simulation indicated a density standard for high yield of up to 9.00 plants m-2 in fields with sufficient soil nutrients and water supply.

Taxon
summer cornZea mays subsp. mayse3
Outcome
density standard for high yielde5
Value
9.00 plants.m-2e6
Qualifier
in the fields with sufficient soil nutrients and water supplye6

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e3

“simulate the growth process of summer corn”

✓ located verbatim in the source · abstract, characters 60–102 · show in text ↑
e5

“the density standard for high yield in the region was 6.75-7.50 plants.m-2”

✓ located verbatim in the source · abstract, characters 874–948 · show in text ↑
e6

“even high as 9.00 plants.m-2 in the fields with sufficient soil nutrients and water supply”

✓ located verbatim in the source · abstract, characters 950–1040 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The optimal sowing period for summer corn was suggested to be from May 21 to June 5.

Taxon
summer cornZea mays subsp. mayse3
Outcome
optimal sowing periode7
Value
from May 21 to June 5e7

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e3

“simulate the growth process of summer corn”

✓ located verbatim in the source · abstract, characters 60–102 · show in text ↑
e7

“It is suggested that the optimal sowing period is from May 21 to June 5”

✓ located verbatim in the source · abstract, characters 1042–1113 · show in text ↑
Intervention effectobservedoriginal resultprojected

Claim · model-written summary

Simulation indicated that the growth period of corn would extend 3 to 4 days if the average air temperature during the growing period were lowered by one degree.

Treatment
the average air temperature during the growing period lowered by one degreee7
Outcome
growth periode7
Direction
extende7
Value
3 to 4 dayse7

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e7

“the growth period of corn would extend 3 to 4 days if the average air temperature during the growing period lowered by one degree”

✓ located verbatim in the source · abstract, characters 1244–1373 · show in text ↑
Mechanismauthor interpretationoriginal resultnegativesimulated

Claim · model-written summary

Less radiation and lower temperature were the direct causes of yield reduction in cool summers, according to the simulation.

Taxon
summer cornZea mays subsp. mayse3
Treatment
cool summere6
Outcome
yield reductione6
Qualifier
less radiatione6

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e3

“simulate the growth process of summer corn”

✓ located verbatim in the source · abstract, characters 60–102 · show in text ↑
e6

“The "less radiation" and correspondent "lower temperature" were the direct reasons of yield reduction in "cool summer"”

✓ located verbatim in the source · abstract, characters 1375–1493 · show in text ↑

wind · yield · Zea mays (maize)Positive and negative results

5 papers: 3 positive, 2 negative or no effect

2 papers in the same direction as this paper · 2 in the opposite direction

  1. negative
  2. negative
  3. positive

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Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.