Evidence map›Paper›PMID 35280572›Full record

ArticleSaudi journal of biological sciences2022

Evaluation of genetic behavior of some Egyption Cotton genotypes for tolerance to water stress conditions.

Esmaeel Z F Abo Sen, Mohamed A A El-Dahan, Shimaa A Badawy, Youssef S Katta, Bandar S Aljuaid, Ahmed M El-Shehawi, Mohamed T El-Saadony, Amira M El-Tahan

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Esmaeel Z F Abo SenDepartment of Agronomy, Faculty of Agriculture, Kafr El-Sheikh University, Egypt.
Mohamed A A El-DahanCotton Research Institute, Agricultural Research Center, Giza, Egypt.
Shimaa A BadawyDepartment of Agronomy, Faculty of Agriculture, Kafr El-Sheikh University, Egypt.
Youssef S KattaDepartment of Agronomy, Faculty of Agriculture, Kafr El-Sheikh University, Egypt.
Bandar S AljuaidDepartment of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Ahmed M El-ShehawiDepartment of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Mohamed T El-SaadonyDepartment of Agricultural Microbiology, Faculty of Agriculture, Zagazig University, 44511 Zagazig, Egypt.
Amira M El-TahanPlant Production Department, Arid Lands Cultivation Research Institute, the City of Scientific Research and Technological Applications, SRTA-City. Borg El Arab, Alexandria, Egypt.
Kafrelsheikh University · EGTaif University · SAAgricultural Research Center · EGCity of Scientific Research and Technological Applications · EGZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water stress is a critical abiotic stress for plant reduction in arid and semiarid zones and, has been discovered to be detrimental to the development of seedlings as well as the growth and physiological characteristics of many crops such as cotton. The objectives of our study were to determine the combining ability and genetic components for five quantitative traits [(leaf area (LA), leaf dry weight (LDW), plant height (PH), fiber length (2.5 percent SL), and lint cotton yield/plant (LCY/P)] under water shortage stress, a half diallel cross between six cotton genotypes representing a wide range of cotton characteristics was evaluated in RCBD with four replications. The genotype mean squares were significant for all traits studied, demonstrating significant variation among genotypes for all characters under water shortage stress. LCY/P had the highest phenotypic and genotypic correlation co-efficient with PH, LDW, and LA shortage. The highest direct effect on lint cotton yield was exhibited by leaf area (3.905), and the highest indirect effects of all traits were through LA, with the exception of 2.5 percent SL, which was through LDW. The highest dissimilarity (Euclidean Distance) between parental genotypes was between G.87 and G.94, followed by G.87 and Menoufi. G.94 was also a well-adapted genotype, and the combinations G.87 x G.94 and G.87 x Menoufi may outperform their parents. The combining ability analysis revealed highly significant differences between parental GCA effects and F1 crosses SCA effects. The variation of GCA and SCA demonstrated the assurance of additive and non- additive gene action in the inheritance of all traits studied. In terms of general combining ability (GCA) effects, parental genotype G.94 demonstrated the highest significant and positive GCA effects for all traits studied, with the exception of 2.5 percent SL, where G.87 revealed the highest significant and positive GCA effects. The effects of specific combining ability (SCA) revealed that the cross (G.87 x2G.94) revealed stable, positive, and significant SCA for all of the studied traits.

Indexed as

Combining abilityCottonDiallel analysisGene actionPath analysisWater deficit

Identifiers

PMID35280572
PMCPMC8913392
OpenAlexW3213452755

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.