Evidence map›Paper›PMID 36553494›Full record

ArticleGenes2022

Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (

Mamdouh M A Awad-Allah, Wafaa W M Shafie, Moodi Saham Alsubeie, Aishah Alatawi, Fatmah Ahmed Safhi, Salha Mesfer ALshamrani, Doha A Albalawi, Hadba Al-Amrah, Dikhnah Alshehri, Rana M Alshegaihi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Review
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 at 8 institutions in 2 countries.

Mamdouh M A Awad-AllahRice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza 12619, Egypt.ORCID 0000-0001-9904-2689
Wafaa W M ShafieCentral Laboratory for Design and Statistical Analysis Agricultural Research Center, Giza 12619, Egypt.
Moodi Saham AlsubeieBiology Department, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11623, Saudi Arabia.
Aishah AlatawiDepartment of Biology, Faculty of Science, University of Tabuk, Tabuk 71421, Saudi Arabia.
Fatmah Ahmed SafhiDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-0533-614X
Salha Mesfer ALshamraniDepartment of Biology, College of Science, University of Jeddah, Jeddah 2795, Saudi Arabia.ORCID 0000-0001-6513-7444
Doha A AlbalawiDepartment of Biology, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia.
Hadba Al-AmrahDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-3783-1890
Dikhnah AlshehriDepartment of Biology, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0000-0003-3261-8860
Rana M AlshegaihiDepartment of Biology, College of Science, University of Jeddah, Jeddah 21493, Saudi Arabia.
Mohammed A BasahiCollege of Science and Arts Sajir, Shaqra University, P.O. Box 33, Shaqra 11961, Saudi Arabia.ORCID 0000-0002-1355-4075
Abdurrahman S MasrahiBiology Department, Faculty of Science, Jazan University, Jazan 45142, Saudi Arabia.ORCID 0000-0002-9335-5964
University of Tabuk · SAAgricultural Research Center · EGUniversity of Jeddah · SAImam Mohammad ibn Saud Islamic University · SAJazan University · SAKing Abdulaziz University · SAPrincess Nourah bint Abdulrahman University · SAShaqra University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploration of and understanding diversity and variability in genotypes of germplasm determines the success of rice improvement programs. One of the most important determinants of the success of breeding programs is genetic diversity and inheritance of traits. Genetic variability analysis helps breeders to determine the appropriate selection method and standards to be used to improve the preferred trait. The aim of this study was to estimate genetic components, heritability and to obtain information about genetic diversity using cluster analysis and principal component analysis. Twenty rice genotypes with three replicates in a randomized complete block design were analyzed at the Experimental Farm at Sakha Agricultural Research Station, Sakha, Kafr El-Sheikh, Egypt, during the period from 2017 to 2020. The results of the analysis of variance showed that highly significant variations were recorded between the studied genotypes for all traits. The genotypic coefficient of variation (GCV%) and phenotypic (PCV%) coefficient of variation were moderate for plant height, panicles/plant, panicle weight, spikelets/panicle, filled grains/panicle, grain yield/plant and amylose content percentage for the first-year, second-year and combined data. This indicates the existence of beneficial genetic variability that can be exploited to improve these traits. The broad-sense estimates of heritability were high and recorded values higher than 60% for all the studied traits for the two-year and combined data, except for hulling percentage. This indicates that the selection of traits that have high heritability and are less affected by the environment leads to an acceleration of the improvement of these traits. The results from the cluster analysis and principal component analysis revealed a high level of genotypic variation among the studied genotypes and genetic diversity between them. One of the most important outcomes of this study is the successful utilization of genetic resources (germplasm) from ancient varieties and lines of rice in selecting and identifying 17 new restoration lines of rice, which have various improvement purposes in rice and hybrid rice breeding programs.

Indexed as

Genetic VariationOryzaPlant BreedingGenotypePhenotypecluster analysisgenetic divergencegenetic variabilityprincipal component analysisrestorer linesrice

Identifiers

PMID36553494
PMCPMC9778048
OpenAlexW4310215181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.