Evidence map›Paper›PMID 36167520›Full record

ArticleBMC plant biology2022

Genetic analysis of yield traits in Egyptian cotton crosses (Gossypium barbdense L.) under normal conditions.

M S Abdel-Aty, A Youssef-Soad, W M B Yehia, R T E El-Nawsany, H M K Kotb, Gamal A Ahmed, Mohamed E Hasan, Ehab A A Salama, Sobhi F Lamlom, Fouad H Saleh and 2 more

Abstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

12 authors.

M S Abdel-AtyAgronomy Department, Faculty of Agriculture, Kafr El-Sheikh University, Kafr el-Sheikh, 33516, Egypt.
A Youssef-SoadAgronomy Department, Faculty of Agriculture, Kafr El-Sheikh University, Kafr el-Sheikh, 33516, Egypt.
W M B YehiaCotton Breeding Department, Cotton Research Institute, Agriculture Research Center, Giza, Egypt.
R T E El-NawsanyCotton Breeding Department, Cotton Research Institute, Agriculture Research Center, Giza, Egypt.
H M K KotbCotton Breeding Department, Cotton Research Institute, Agriculture Research Center, Giza, Egypt.
Gamal A AhmedPlant Pathology Department, Faculty of Agriculture, Moshtohor, Benha University, Banha, Egypt.
Mohamed E HasanBioinformatics Department, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt.
Ehab A A SalamaAgricultural Botany Department, Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria, 21531, Egypt.ORCID http://orcid.org/0000-0002-5295-0900
Sobhi F LamlomPlant Production Department, Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria, 21531, Egypt.ORCID http://orcid.org/0000-0002-5003-9275
Fouad H SalehPlant Production Department, Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria, 21531, Egypt.ORCID http://orcid.org/0000-0003-1482-1806
Adnan Noor ShahDepartment of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Punjab, Pakistan.
Nader R AbdelsalamAgricultural Botany Department, Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria, 21531, Egypt. nader.wheat@alexu.edu.eg.ORCID http://orcid.org/0000-0002-4937-4017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To generate high-yielding cultivars with favorable fiber quality traits, cotton breeders can use information about combining ability and gene activity within a population to locate elite parents and potential F1 crosses. To this end, in the current study, twelve cotton parents (eight genotypes as female parents and four testers) and their F1 crosses obtained utilizing the linex tester mating design were evaluated for their general and specialized combining abilities (GCA and SCA, respectively) of yield traits. The findings showed that for all the investigated variables, variances owing to genotypes, parents, crosses, and parent vs cross showed extremely significant (P ≤ 0.01) differences. Additionally, throughout the course of two growing seasons, the mean squares for genotypes (parents and crosses) showed strong significance for all the variables under study. The greatest and most desired means for all the examined qualities were in the parent G.94, Pima S6, and tester G.86. The best crossings for the qualities examined were G.86 (G.89 × G.86), G.93 × Suvin, and G.86 × Suvin. The parents' Suvin, G89x G86 and TNB were shown to have the most desired general combining ability effects for seed cotton yield/plant, lint yield/plant, boll weight, number of bolls/plants, and lint index, while Suvin, G.96 and pima S6 were preferred for favored lint percentage. For seed cotton yield, lint percentage, boll weight, and number of bolls per plant per year, the cross-G.86 x (G.89 × G.86) displayed highly significant specific combining ability impacts. The crosses G.86 × Suvin, Kar x TNB, G.93 × Suvin, and G.93 × TNB for all the studied traits for each year and their combined were found to have highly significant positive heterotic effects relative to better parent, and they could be used in future cotton breeding programs for improving the studied traits.

Indexed as

GossypiumPotassium IodideCotton FiberCrosses, GeneticEgyptHybrid VigorPlant BreedingPotassium IodideGeneral combining abilityGossypium barbadenseHeterosisLine x testerSpecific combining ability

Identifiers

PMID36167520
PMCPMC9513887

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.