Paper · 2008 · AFRICAN JOURNAL OF BIOTECHNOLOGY

Application of physiological and biochemical indices as a screening technique for drought tolerance in wheat genotypes

T. Y. Bayoumi; Manal Eid; E. M. R. Metwali

13
claims
24
verbatim quotes
236
citations
3
research areas
✓
Open access

Abstract

With a view to understanding the traits which can be used as a quick criteria for drought tolerance, field and laboratory experiments were used to evaluate nine wheat (Triticum aestivum L.) genotypes; seven local varieties with two introduced genotypes from International Center for Agricultural Research in the Dry Areas (ICARDA). The field experiment was grown under two water regimes (stress and non stress treatments). The stress treatment induced by withholding irrigation after emergence and giving two supplementary irrigations, one after 60 days post-sowing and the other after 90 days post-sowing and non stress (well-watered). Combined analysis of variance over two seasons showed highly significant differences among wheat genotypes in all the studied traits and water stress decreased them significantly. The superior genotypes 1,2 and 6 which gave higher relative water content (RWC) accumulated more free proline (Pro) and had lower drought susceptibility index (S) values, whereas genotypes 3, 4 and 9 had the lowest RWC, Pro accumulation and had the highest S values. Indicating that accumulated Pro acts as a compatible solute regulating and reducing water loss from the cell during episodes of water deficit. High RWC and Pro over-accumulation were recognized as beneficial drought tolerance indicators and may be used as selection criteria in wheat breeding program. Effects of drought stress in laboratory experiment were induced by polyethylene glycol (PEG) (0, 15 and 25%, with three replicates) and applied on germination of wheat genotypes seeds. The PEG induced a drop in the shoot, root biomass and coleoptiles length which was the greatest in genotypes 3, 4 and 9, while the decrease in genotypes 1, 2 and 6 was little under the various levels from PEG. The variability of leafproteins was analyzed by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE). It is concluded that leaf protein profiles could be useful marker in the studies of genetic variation and classification of adapted cultivars under control and stress conditions.

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Claims 13

Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Wheat genotypes differed significantly across measured traits.

Material
wheat genotypese0
Outcome
all the studied traitse0

Not reportedDirection

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

“highly significant differences among wheat genotypes in all the studied traits”

✓ located verbatim in the source · abstract, characters 691–769 · show in text ↑
Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Water stress significantly decreased measured traits.

Treatment
water stresse0
Outcome
theme0
Direction
decreasede0

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

“water stress decreased them significantly”

✓ located verbatim in the source · abstract, characters 774–815 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Genotypes 1, 2 and 6 had higher relative water content.

Material
genotypes 1,2 and 6e0
Outcome
relative water contente0
Direction
highere0

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

“genotypes 1,2 and 6 which gave higher relative water content (RWC)”

✓ located verbatim in the source · abstract, characters 830–896 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

These genotypes accumulated more free proline.

Material
genotypes 1,2 and 6e0
Outcome
free prolinee0
Direction
moree0

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

“genotypes 1,2 and 6 which gave higher relative water content (RWC) accumulated more free proline (Pro)”

✓ located verbatim in the source · abstract, characters 830–932 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

These genotypes had lower drought susceptibility index.

Material
genotypes 1,2 and 6e0
Outcome
drought susceptibility indexe0
Direction
lowere0

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

“genotypes 1,2 and 6 which gave higher relative water content (RWC) accumulated more free proline (Pro) and had lower drought susceptibility index (S) values”

✓ located verbatim in the source · abstract, characters 830–986 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Genotypes 3, 4 and 9 had the lowest RWC and proline accumulation.

Material
genotypes 3, 4 and 9e0
Outcome
RWC, Pro accumulatione0
Direction
loweste0

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

“genotypes 3, 4 and 9 had the lowest RWC, Pro accumulation”

✓ located verbatim in the source · abstract, characters 996–1053 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Genotypes 3, 4 and 9 had the highest susceptibility index.

Material
genotypes 3, 4 and 9e0
Outcome
S valuese0
Direction
higheste0

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

“genotypes 3, 4 and 9 had the lowest RWC, Pro accumulation and had the highest S values”

✓ located verbatim in the source · abstract, characters 996–1082 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Mechanismauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

The authors interpret proline accumulation as reducing water loss.

Compound
Proe0
Outcome
water loss from the celle0
Direction
reducinge0

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

“accumulated Pro acts as a compatible solute regulating and reducing water loss from the cell during episodes of water deficit”

✓ located verbatim in the source · abstract, characters 1100–1225 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

High RWC and proline were recommended as selection criteria.

Outcome
selection criteria in wheat breeding programe0

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

“High RWC and Pro over-accumulation were recognized as beneficial drought tolerance indicators and may be used as selection criteria in wheat breeding program”

✓ located verbatim in the source · abstract, characters 1227–1384 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

PEG reduced shoot and root biomass and coleoptile length.

Treatment
PEGe0
Outcome
shoot, root biomass and coleoptiles lengthe0
Direction
drope0

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

“The PEG induced a drop in the shoot, root biomass and coleoptiles length”

✓ located verbatim in the source · abstract, characters 1571–1643 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

The decline was greatest in genotypes 3, 4 and 9.

Material
genotypes 3, 4 and 9e0
Outcome
greateste0
Direction
greateste0

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

“which was the greatest in genotypes 3, 4 and 9”

✓ located verbatim in the source · abstract, characters 1644–1690 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

The decline was small in genotypes 1, 2 and 6.

Material
genotypes 1, 2 and 6e0
Outcome
decreasee0
Direction
littlee0

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

“the decrease in genotypes 1, 2 and 6 was little under the various levels from PEG”

✓ located verbatim in the source · abstract, characters 1698–1779 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Leaf protein profiles may classify adapted cultivars.

Outcome
classification of adapted cultivarse0

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

“leaf protein profiles could be useful marker in the studies of genetic variation and classification of adapted cultivars under control and stress conditions”

✓ located verbatim in the source · abstract, characters 1921–2077 · show in text ↑
e1

“wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 161–189 · show in text ↑

poly(ethylene glycol) · growth · Triticum aestivum (wheat)Positive and negative results

23 papers: 6 positive, 17 negative or no effect

16 papers in the same direction as this paper · 6 in the opposite direction

  1. negative
  2. negative
  3. negative

19 papers more in this group

See all 23 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.