Paper · 2024 · Journal of Irrigation and Drainage Engineering

The Effect of Sustained Deficit Irrigation and Different Irrigation Methods on Yield and Evapotranspiration of Second-Crop Soybeans in the Mediterranean Basin

Şuayip Yüzbaşı; Vural Karagül; Sinan Aras; et al.

12
claims
23
verbatim quotes
2
citations
2
research areas
—
Not open access

Abstract

Soybeans are a crucial major food source in human and animal nutrition due to their high fat and protein content. This study investigated the effects of different irrigation methods on yield and yield components of second-crop soybeans under deficit irrigation conditions. The study aimed to determine the crop evapotranspiration, water productivity (WP), and irrigation water productivity (IWP) of the second crop soybean. The study followed a split plot random block experimental design with three replications. The main treatments of the study were subsurface drip irrigation (SDI), drip irrigation (DI), and furrow irrigation (FI) with four different water application levels (100%, 75%, 50%, and 25%) serving as subtreatments. Crop evapotranspiration (ETc) ranged between 236–482 mm for DI, 185–410 mm for SDI, and 275–562 mm for FI during 2018 and 2019. The yields for DI, SDI, and FI varied between 3,340–4,030 kg ha−1, 3,250−3,780 kg ha−1, and 2,800–3,680 kg ha−1 during 2018 and 2019, respectively. The effect of water deficit applications on yield was statistically significant at p<0.05 level. It was determined that the yield components of soybeans were negatively affected by deficit irrigation treatments, but the effect of different irrigation methods was not significant. There was no statistical difference between the treatment with 25% deficit irrigation and the full irrigation comparing the yield and yield components of the study. Moreover, WP and IWP values increased as the amount of irrigation water decreased in all irrigation methods. Thus, a 25% deficit is recommended as an alternative to full irrigation in the Mediterranean Basin when water resources are scarce.

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Claims 12

Observationobservedoriginal resultmeasured

Claim · model-written summary

Crop evapotranspiration of second-crop soybeans ranged between 236-482 mm under drip irrigation (DI) in 2018 and 2019.

Taxon
Second-Crop Soybeanst0
Treatment
DIe1
Outcome
Crop evapotranspiration (ETc)e1
Value
236–482 mme1

Verbatim

e1

“Crop evapotranspiration (ETc) ranged between 236–482 mm for DI, 185–410 mm for SDI, and 275–562 mm for FI during 2018 and 2019”

✓ located verbatim in the source · abstract, characters 732–858 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Crop evapotranspiration of second-crop soybeans ranged between 185-410 mm under subsurface drip irrigation (SDI) in 2018 and 2019.

Taxon
Second-Crop Soybeanst0
Treatment
SDIe1
Outcome
Crop evapotranspiration (ETc)e1
Value
185–410 mme1

Verbatim

e1

“Crop evapotranspiration (ETc) ranged between 236–482 mm for DI, 185–410 mm for SDI, and 275–562 mm for FI during 2018 and 2019”

✓ located verbatim in the source · abstract, characters 732–858 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Crop evapotranspiration of second-crop soybeans ranged between 275-562 mm under furrow irrigation (FI) in 2018 and 2019.

Taxon
Second-Crop Soybeanst0
Treatment
FIe1
Outcome
Crop evapotranspiration (ETc)e1
Value
275–562 mme1

Verbatim

e1

“Crop evapotranspiration (ETc) ranged between 236–482 mm for DI, 185–410 mm for SDI, and 275–562 mm for FI during 2018 and 2019”

✓ located verbatim in the source · abstract, characters 732–858 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Soybean yield under DI varied between 3,340-4,030 kg ha-1 during 2018 and 2019.

Taxon
Second-Crop Soybeanst0
Treatment
DIe1
Outcome
yieldse1
Value
3,340–4,030 kg ha−1e1

Verbatim

e1

“The yields for DI, SDI, and FI varied between 3,340–4,030 kg ha−1, 3,250−3,780 kg ha−1, and 2,800–3,680 kg ha−1 during 2018 and 2019”

✓ located verbatim in the source · abstract, characters 860–992 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Soybean yield under SDI varied between 3,250-3,780 kg ha-1 during 2018 and 2019.

Taxon
Second-Crop Soybeanst0
Treatment
SDIe1
Outcome
yieldse1
Value
3,250−3,780 kg ha−1e1

Verbatim

e1

“The yields for DI, SDI, and FI varied between 3,340–4,030 kg ha−1, 3,250−3,780 kg ha−1, and 2,800–3,680 kg ha−1 during 2018 and 2019”

✓ located verbatim in the source · abstract, characters 860–992 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Soybean yield under FI varied between 2,800-3,680 kg ha-1 during 2018 and 2019.

Taxon
Second-Crop Soybeanst0
Treatment
FIe1
Outcome
yieldse1
Value
2,800–3,680 kg ha−1e1

Verbatim

e1

“The yields for DI, SDI, and FI varied between 3,340–4,030 kg ha−1, 3,250−3,780 kg ha−1, and 2,800–3,680 kg ha−1 during 2018 and 2019”

✓ located verbatim in the source · abstract, characters 860–992 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The effect of water deficit applications on soybean yield was statistically significant at p<0.05.

Taxon
Second-Crop Soybeanst0
Treatment
water deficit applicationse1
Outcome
yielde1

Not reportedComparatorDirection

Verbatim

e1

“The effect of water deficit applications on yield was statistically significant at p<0.05 level”

✓ located verbatim in the source · abstract, characters 1008–1103 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Soybean yield components were negatively affected by deficit irrigation treatments.

Taxon
soybeansGlycine maxe1
Treatment
deficit irrigation treatmentse1
Outcome
yield componentse1
Direction
negatively affectede1

Not reportedComparator

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e1

“the yield components of soybeans were negatively affected by deficit irrigation treatments”

✓ located verbatim in the source · abstract, characters 1128–1218 · show in text ↑
Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

The effect of different irrigation methods on soybean yield components was not significant.

Taxon
soybeansGlycine maxe2
Treatment
different irrigation methodse1
Outcome
yield componentse2

Not reportedComparatorDirection

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e1

“the effect of different irrigation methods was not significant”

✓ located verbatim in the source · abstract, characters 1224–1286 · show in text ↑
e2

“the yield components of soybeans”

✓ located verbatim in the source · abstract, characters 1128–1160 · show in text ↑
Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

There was no statistical difference in soybean yield and yield components between 25% deficit irrigation and full irrigation.

Taxon
Second-Crop Soybeanst0
Treatment
25% deficit irrigatione1
Outcome
yield and yield componentse1
Direction
no statistical differencee1
Comparator
full irrigatione1

Verbatim

e1

“There was no statistical difference between the treatment with 25% deficit irrigation and the full irrigation comparing the yield and yield components of the study”

✓ located verbatim in the source · abstract, characters 1288–1451 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Water productivity (WP) and irrigation water productivity (IWP) of soybean increased as the amount of irrigation water decreased in all irrigation methods.

Taxon
Second-Crop Soybeanst0
Treatment
amount of irrigation watere1
Outcome
WP and IWP valuese1
Direction
increasede1

Verbatim

e1

“WP and IWP values increased as the amount of irrigation water decreased in all irrigation methods”

✓ located verbatim in the source · abstract, characters 1463–1560 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

A 25% deficit irrigation is recommended as an alternative to full irrigation for second-crop soybeans in the Mediterranean Basin when water resources are scarce.

Taxon
Second-Crop Soybeanst0
Outcome
a 25% deficit is recommended as an alternative to full irrigatione1
Setting
Mediterranean Basine1

Verbatim

e1

“a 25% deficit is recommended as an alternative to full irrigation in the Mediterranean Basin when water resources are scarce”

✓ located verbatim in the source · abstract, characters 1568–1692 · show in text ↑
t0

“Second-Crop Soybeans”

✓ located verbatim in the source · title, characters 111–131 · show in text ↑

irrigation · yield · Glycine max (soybean)Positive and negative results

343 papers: 264 positive, 79 negative or no effect

78 papers in the same direction as this paper · 264 in the opposite direction

  1. positive
  2. positive
  3. positive

339 papers more in this group

See all 343 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.