Paper · 2014 · Journal of Irrigation and Drainage

Effects of Drip Irrigation Frequency and Nitrogen Fertilizer on Water Consumption of Tomato in Solar Greenhouse

Zhao Wei-xi

10
claims
16
verbatim quotes
0
citations
3
research areas
—
Not open access

Abstract

The effects of drip irrigation frequency and nitrogen fertilizer on water consumption of tomato in greenhouse were studied under sufficient irrigation,and the estimation accuracies of water consumption were discussed with different deep percolation interfaces and different types of soil water content sensors.The results indicated that there were no significant influences of irrigation frequency and nitrogen fertilizer on deep percolation and total water consumption.Deep percolation accounted for 13.8% of irrigation amount during tomato growth season.The total water consumption of tomato was 210.2mm,and the daily mean water consumption rate was 2.3mm/d.The deep percolation deviation rate between 40 cm and60cm interfaces accounted for 0.9%of irrigation amount,and their tomato total water consumption deviation rate was 2%.The deviation rate between tomato total water consumption estimated by Trime tubes and Hydra Probe sensors was 0.9%,while there was larger difference at different growing stages.The measurement of water consumption during the crop growing stages should be on the basis of soil water content measured by one type sensor continuously.The measurement of deep percolation might base on the depth where 80%root concentrated.

Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 10

Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Irrigation frequency had no significant influence on deep percolation or total water consumption.

Treatment
irrigation frequencye0
Outcome
deep percolation and total water consumptione0
Direction
no significant influencese0

Not reportedComparator

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“there were no significant influences of irrigation frequency and nitrogen fertilizer on deep percolation and total water consumption”

✓ located verbatim in the source · abstract, characters 337–469 · show in text ↑
e1

“water consumption of tomato in greenhouse”

✓ located verbatim in the source · abstract, characters 68–109 · show in text ↑
Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Nitrogen fertilizer had no significant influence on deep percolation or total water consumption.

Treatment
nitrogen fertilizere0
Outcome
deep percolation and total water consumptione0
Direction
no significant influencese0

Not reportedComparator

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“there were no significant influences of irrigation frequency and nitrogen fertilizer on deep percolation and total water consumption”

✓ located verbatim in the source · abstract, characters 337–469 · show in text ↑
e1

“water consumption of tomato in greenhouse”

✓ located verbatim in the source · abstract, characters 68–109 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Deep percolation accounted for 13.8% of irrigation amount.

Organ / stage
growth seasone0
Outcome
Deep percolatione0
Value
13.8%e0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Deep percolation accounted for 13.8% of irrigation amount during tomato growth season”

✓ located verbatim in the source · abstract, characters 470–555 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Total tomato water consumption was 210.2mm.

Outcome
total water consumptione0
Value
210.2mme0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The total water consumption of tomato was 210.2mm”

✓ located verbatim in the source · abstract, characters 556–605 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Daily mean tomato water consumption rate was 2.3mm/d.

Outcome
daily mean water consumption ratee0
Value
2.3mm/de0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the daily mean water consumption rate was 2.3mm/d”

✓ located verbatim in the source · abstract, characters 610–659 · show in text ↑
t0

“Tomato”

✓ located verbatim in the source · title, characters 85–91 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The deep percolation deviation between 40 cm and 60 cm interfaces was 0.9% of irrigation amount.

Outcome
deep percolation deviation ratee0
Value
0.9%e0
Comparator
40 cm and60cm interfacese0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The deep percolation deviation rate between 40 cm and60cm interfaces accounted for 0.9%of irrigation amount”

✓ located verbatim in the source · abstract, characters 660–767 · show in text ↑
t0

“Tomato”

✓ located verbatim in the source · title, characters 85–91 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The corresponding tomato total water consumption deviation was 2%.

Outcome
tomato total water consumption deviation ratee0
Value
2%e0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“their tomato total water consumption deviation rate was 2%”

✓ located verbatim in the source · abstract, characters 772–830 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Trime tube and Hydra Probe estimates of total tomato water consumption differed by 0.9%, with larger stage differences.

Outcome
deviation rate between tomato total water consumptione0
Value
0.9%e0
Qualifier
larger difference at different growing stagese0
Comparator
Trime tubes and Hydra Probe sensorse0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The deviation rate between tomato total water consumption estimated by Trime tubes and Hydra Probe sensors was 0.9%,while there was larger difference at different growing stages”

✓ located verbatim in the source · abstract, characters 831–1008 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors recommended continuous use of one soil water sensor type across crop growth stages.

Outcome
soil water content measured by one type sensor continuouslye0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The measurement of water consumption during the crop growing stages should be on the basis of soil water content measured by one type sensor continuously”

✓ located verbatim in the source · abstract, characters 1009–1162 · show in text ↑
t0

“Tomato”

✓ located verbatim in the source · title, characters 85–91 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors recommended measuring deep percolation at the depth containing 80% of roots.

Outcome
depth where 80%root concentratede0

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The measurement of deep percolation might base on the depth where 80%root concentrated”

✓ located verbatim in the source · abstract, characters 1163–1249 · show in text ↑
t0

“Tomato”

✓ located verbatim in the source · title, characters 85–91 · show in text ↑

fertilization · physiology: water · Solanum lycopersicum (tomato)Positive and negative results

41 papers: 33 positive, 8 negative or no effect

7 papers in the same direction as this paper · 33 in the opposite direction

  1. positive
  2. positive
  3. positive

37 papers more in this group

See all 41 papers →

irrigation · physiology: water · Solanum lycopersicum (tomato)Positive and negative results

147 papers: 117 positive, 30 negative or no effect

29 papers in the same direction as this paper · 117 in the opposite direction

  1. positive
  2. positive
  3. positive

143 papers more in this group

See all 147 papers →

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.