Paper · 2017 · Frontiers in Plant Science

Comparative Performance of Multivariable Agro-Physiological Parameters for Detecting Salt Tolerance of Wheat Cultivars under Simulated Saline Field Growing Conditions

Salah E. El-Hendawy; Wael M. Hassan; Nasser A. Al-Suhaibani; et al.

14
claims
27
verbatim quotes
123
citations
2
research areas
✓
Open access · cc-by

Abstract

Field-based trials are crucial for successfully achieving the goals of plant breeding programs aiming to screen and improve the salt tolerance of crop genotypes. In this study, simulated saline field growing conditions were designed using the subsurface water retention technique (SWRT) and three saline irrigation levels (control, 60, and 120 mM NaCl) to accurately appraise the suitability of a set of agro-physiological parameters including shoot biomass, grain yield, leaf water relations, gas exchange, chlorophyll fluorescence, and ion accumulation as screening criteria to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars. Shoot dry weight and grain yield per hectare were substantially reduced by salinity, but the reduction was more pronounced in Sakha 61 than in Sakha 93. Increasing salinity stress caused a significant decrease in the net photosynthesis rate and stomatal conductance of both cultivars, although their leaf turgor pressure increased. The accumulation of toxic ions (Na+ and Cl-) was higher in Sakha 61, but the accumulation of essential cations (K+ and Ca2+) was higher in Sakha 93, which could be the reason for the observed maintenance of the higher leaf turgor of both cultivars in the salt treatments. The maximum quantum PSII photochemical efficiency (Fv/Fm) and the PSII quantum yield (ΦPSII) decreased with increasing salinity levels in Sakha 61, but they only started to decline at the moderate salinity condition in Sakha 93. The principle component analysis successfully identified the interrelationships between all parameters. The parameters of leaf water relations and toxic ion concentrations were significantly related to each other and could identify Sakha 61 at mild and moderate salinity levels, and, to a lesser extent, Sakha 93 at the moderate salinity level. Both cultivars under the control treatment and Sakha 93 at the mild salinity level were identified by most of the other parameters. The variability in the angle between the vectors of parameters explained which parameters could be used as individual, interchangeable, or supplementary screening criteria for evaluating wheat salt tolerance under simulated field conditions.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. 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 14

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Salinity substantially reduced shoot dry weight and grain yield per hectare in wheat.

Treatment
salinitye1
Outcome
Shoot dry weight and grain yield per hectaree1
Direction
substantially reducede1

Not reportedComparator

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e1

“Shoot dry weight and grain yield per hectare were substantially reduced by salinity, but the reduction was more pronounced in Sakha 61 than in Sakha 93”

✓ located verbatim in the source · abstract, characters 688–839 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

The salinity-induced reduction in wheat was more pronounced in Sakha 61 than in Sakha 93.

Material
Sakha 61e1
Treatment
salinitye1
Outcome
reductione1
Direction
more pronouncede1
Comparator
Sakha 93e1

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e1

“Shoot dry weight and grain yield per hectare were substantially reduced by salinity, but the reduction was more pronounced in Sakha 61 than in Sakha 93”

✓ located verbatim in the source · abstract, characters 688–839 · show in text ↑
Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Increasing salinity significantly decreased the net photosynthesis rate and stomatal conductance of both wheat cultivars.

Treatment
Increasing salinity stresse2
Outcome
net photosynthesis rate and stomatal conductancee2
Direction
decreasee2

Not reportedComparator

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e2

“Increasing salinity stress caused a significant decrease in the net photosynthesis rate and stomatal conductance of both cultivars, although their leaf turgor pressure increased”

✓ located verbatim in the source · abstract, characters 841–1018 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Increasing salinity increased leaf turgor pressure in both wheat cultivars.

Treatment
Increasing salinity stresse2
Outcome
leaf turgor pressuree2
Direction
increasede2

Not reportedComparator

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e2

“Increasing salinity stress caused a significant decrease in the net photosynthesis rate and stomatal conductance of both cultivars, although their leaf turgor pressure increased”

✓ located verbatim in the source · abstract, characters 841–1018 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Toxic ion accumulation (Na+ and Cl-) was higher in Sakha 61 than in Sakha 93.

Material
Sakha 61e3
Outcome
accumulation of toxic ions (Na+ and Cl-)e3
Direction
highere3
Comparator
Sakha 93e3

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e3

“The accumulation of toxic ions (Na+ and Cl-) was higher in Sakha 61, but the accumulation of essential cations (K+ and Ca2+) was higher in Sakha 93, which could be the reason for the observed maintenance of the higher leaf turgor of both cultivars in the salt treatments”

✓ located verbatim in the source · abstract, characters 1020–1290 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Essential cation accumulation (K+ and Ca2+) was higher in Sakha 93 than in Sakha 61.

Material
Sakha 93e3
Outcome
accumulation of essential cations (K+ and Ca2+)e3
Direction
highere3
Comparator
Sakha 61e3

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e3

“The accumulation of toxic ions (Na+ and Cl-) was higher in Sakha 61, but the accumulation of essential cations (K+ and Ca2+) was higher in Sakha 93, which could be the reason for the observed maintenance of the higher leaf turgor of both cultivars in the salt treatments”

✓ located verbatim in the source · abstract, characters 1020–1290 · show in text ↑
Mechanismhypothesisoriginal resultpositivebasis n/a

Claim · model-written summary

Higher essential cation accumulation may explain the maintenance of higher leaf turgor in both wheat cultivars under salt treatment.

Outcome
maintenance of the higher leaf turgore3
Qualifier
accumulation of essential cations (K+ and Ca2+)e3

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e3

“The accumulation of toxic ions (Na+ and Cl-) was higher in Sakha 61, but the accumulation of essential cations (K+ and Ca2+) was higher in Sakha 93, which could be the reason for the observed maintenance of the higher leaf turgor of both cultivars in the salt treatments”

✓ located verbatim in the source · abstract, characters 1020–1290 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Increasing salinity decreased Fv/Fm and ΦPSII in Sakha 61.

Material
Sakha 61e4
Treatment
increasing salinity levelse4
Outcome
maximum quantum PSII photochemical efficiency (Fv/Fm) and the PSII quantum yield (ΦPSII)e4
Direction
decreasede4

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e4

“The maximum quantum PSII photochemical efficiency (Fv/Fm) and the PSII quantum yield (ΦPSII) decreased with increasing salinity levels in Sakha 61, but they only started to decline at the moderate salinity condition in Sakha 93”

✓ located verbatim in the source · abstract, characters 1292–1519 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Fv/Fm and ΦPSII only started to decline at the moderate salinity condition in Sakha 93.

Material
Sakha 93e4
Treatment
moderate salinity conditione4
Outcome
maximum quantum PSII photochemical efficiency (Fv/Fm) and the PSII quantum yield (ΦPSII)e4
Direction
only started to declinee4

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e4

“The maximum quantum PSII photochemical efficiency (Fv/Fm) and the PSII quantum yield (ΦPSII) decreased with increasing salinity levels in Sakha 61, but they only started to decline at the moderate salinity condition in Sakha 93”

✓ located verbatim in the source · abstract, characters 1292–1519 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Principal component analysis identified the interrelationships between all measured parameters in wheat.

Outcome
interrelationships between all parameterse5

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e5

“The principle component analysis successfully identified the interrelationships between all parameters”

✓ located verbatim in the source · abstract, characters 1521–1623 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

The leaf water relations and toxic ion parameters could identify Sakha 61 at mild and moderate salinity levels.

Material
Sakha 61e6
Outcome
could identify Sakha 61 at mild and moderate salinity levelse6

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e6

“The parameters of leaf water relations and toxic ion concentrations were significantly related to each other and could identify Sakha 61 at mild and moderate salinity levels, and, to a lesser extent, Sakha 93 at the moderate salinity level”

✓ located verbatim in the source · abstract, characters 1625–1864 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

To a lesser extent, the same parameters could identify Sakha 93 at the moderate salinity level.

Material
Sakha 93e6
Outcome
Sakha 93 at the moderate salinity levele6
Qualifier
to a lesser extente6

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e6

“The parameters of leaf water relations and toxic ion concentrations were significantly related to each other and could identify Sakha 61 at mild and moderate salinity levels, and, to a lesser extent, Sakha 93 at the moderate salinity level”

✓ located verbatim in the source · abstract, characters 1625–1864 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Both cultivars under control and Sakha 93 at mild salinity were identified by most of the other parameters.

Material
Sakha 93e7
Treatment
mild salinity levele7
Outcome
identified by most of the other parameterse7

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“to establish the salt tolerance of the salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat cultivars”

✓ located verbatim in the source · abstract, characters 577–686 · show in text ↑
e7

“Both cultivars under the control treatment and Sakha 93 at the mild salinity level were identified by most of the other parameters”

✓ located verbatim in the source · abstract, characters 1866–1996 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The parameters could be used as individual, interchangeable or supplementary screening criteria for wheat salt tolerance under simulated field conditions.

Outcome
individual, interchangeable, or supplementary screening criteriae7

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e7

“The variability in the angle between the vectors of parameters explained which parameters could be used as individual, interchangeable, or supplementary screening criteria for evaluating wheat salt tolerance under simulated field conditions”

✓ located verbatim in the source · abstract, characters 1998–2238 · show in text ↑

salinity · physiology: water · Triticum aestivum (wheat)Results differ

58 papers: 9 positive, 49 negative or no effect

8 papers in the same direction as this paper · 49 in the opposite direction

  1. negative
  2. negative
  3. negative

54 papers more in this group

See all 58 papers →

salinity · physiology: photosynthesis · Triticum aestivum (wheat)Positive and negative results

100 papers: 11 positive, 89 negative or no effect

88 papers in the same direction as this paper · 11 in the opposite direction

  1. negative
  2. negative
  3. negative

96 papers more in this group

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salinity · yield · Triticum aestivum (wheat)Positive and negative results

227 papers: 30 positive, 197 negative or no effect

196 papers in the same direction as this paper · 30 in the opposite direction

  1. negative
  2. negative
  3. negative

223 papers more in this group

See all 227 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.