Paper · 2021 · SVU-International Journal of Agricultural Sciences

Screening for drought tolerance and molecular variability among some sugar beet cultivars

H. Ferweez; T. Bashandy

7
claims
13
verbatim quotes
9
citations
3
research areas
✓
Open access · cc-by-nc-sa

Abstract

Drought is one of the significant abiotic stress factors that affect plant development and productivity. Screening and producing of more tolerant genotypes with higher yield capacity is the breeders' principal purpose. Therefore, this work was carried out to evaluate the performance of four sugar beet cultivars (Top, Hossam, Hercules and Kawamera) under water limitation. The drought stress experiment was applied based on three water regimes, 25%, 50% and 75% (severe, moderate and non-stress conditions, respectively) of relative water capacity (RWC). The study incorporated some productivity and quality traits. The results showed that drought stress has a significant effect on all studied traits. Whereas, increasing of water deficiency led to decrease of the productivity traits and increasing of quality parameters. Kawamera cultivar has superior performance in all the studied traits under all three different levels of water regime. Besides, the four cultivars were assessed by both SSR and ISSR molecular markers. SSR marker exhibited a higher polymorphism percentage (71.43%) than ISSR marker (44.26%). In addition, the mean polymorphism information content (PIC) value was higher for the SSR marker (0.25) than the ISSR marker (0.18) too. Moreover, the constructed dendrograms revealed that the SSR marker was able to separate the cultivars according to their drought-tolerance, where the highest drought-tolerant cultivar (Kawamera) was classified alone in the main cluster. However, the superiority of Kawamera cultivar under drought stress indicated that it could be utilized in breeding programs for developing more drought-tolerant sugar beet cultivars.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-sa. 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 7

Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Water deficiency reduced productivity traits.

Treatment
water deficiencye0
Outcome
productivity traitse0
Direction
decreasee0

Not reportedTaxonComparator

Verbatim

e0

“increasing of water deficiency led to decrease of the productivity traits”

✓ located verbatim in the source · abstract, characters 713–786 · show in text ↑
t0

“sugar beet cultivars”

✓ located verbatim in the source · title, characters 69–89 · show in text ↑
Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Water deficiency increased quality parameters.

Treatment
water deficiencye0
Outcome
quality parameterse0
Direction
increasinge0

Not reportedTaxonComparator

Verbatim

e0

“increasing of water deficiency led to decrease of the productivity traits and increasing of quality parameters”

✓ located verbatim in the source · abstract, characters 713–823 · show in text ↑
t0

“sugar beet cultivars”

✓ located verbatim in the source · title, characters 69–89 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Kawamera performed best across studied traits and water regimes.

Material
Kawamerae0
Outcome
superior performancee0
Direction
superiore0
Comparator
all three different levels of water regimee0

Not reportedTaxon

Verbatim

e0

“Kawamera cultivar has superior performance in all the studied traits under all three different levels of water regime”

✓ located verbatim in the source · abstract, characters 825–942 · show in text ↑
t0

“sugar beet cultivars”

✓ located verbatim in the source · title, characters 69–89 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

SSR had higher polymorphism than ISSR.

Taxon
sugar beet cultivarsBeta vulgaris subsp. vulgarist0
Outcome
polymorphism percentagee0
Direction
highere0
Value
71.43%e0
Comparator
ISSR markere0

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

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“SSR marker exhibited a higher polymorphism percentage (71.43%) than ISSR marker (44.26%)”

✓ located verbatim in the source · abstract, characters 1026–1114 · show in text ↑
t0

“sugar beet cultivars”

✓ located verbatim in the source · title, characters 69–89 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

SSR had higher mean PIC than ISSR.

Taxon
sugar beet cultivarsBeta vulgaris subsp. vulgarist0
Outcome
mean polymorphism information content (PIC) valuee0
Direction
highere0
Value
0.25e0
Comparator
ISSR markere0

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

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the mean polymorphism information content (PIC) value was higher for the SSR marker (0.25) than the ISSR marker (0.18)”

✓ located verbatim in the source · abstract, characters 1129–1247 · show in text ↑
t0

“sugar beet cultivars”

✓ located verbatim in the source · title, characters 69–89 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

SSR dendrograms separated cultivars by drought tolerance, with Kawamera alone in the main cluster.

Taxon
sugar beet cultivarsBeta vulgaris subsp. vulgarist0
Material
Kawamerae0
Outcome
separate the cultivars according to their drought-tolerancee0
Comparator
main clustere0

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

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“SSR marker was able to separate the cultivars according to their drought-tolerance, where the highest drought-tolerant cultivar (Kawamera) was classified alone in the main cluster”

✓ located verbatim in the source · abstract, characters 1309–1488 · show in text ↑
t0

“sugar beet cultivars”

✓ located verbatim in the source · title, characters 69–89 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors suggested using Kawamera to breed more drought-tolerant sugar beet.

Taxon
sugar beet cultivarsBeta vulgaris subsp. vulgarise0
Material
Kawamerae0
Outcome
utilized in breeding programse0

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

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Kawamera cultivar under drought stress indicated that it could be utilized in breeding programs for developing more drought-tolerant sugar beet cultivars”

✓ located verbatim in the source · abstract, characters 1518–1671 · show in text ↑

drought · yield · Beta vulgaris (beet)Results differ

32 papers: 6 positive, 26 negative or no effect

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

  1. positive
  2. positive
  3. positive

28 papers more in this group

See all 32 papers →

drought · quality: general · Beta vulgaris (beet)Positive and negative results

4 papers: 2 positive, 2 negative or no effect

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

  1. negative
  2. negative
  3. positive
See all 4 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.