Evidence map›Paper›PMID 40437022›Full record

ArticleScientific reports2025

Genetic variability, correlation and path coefficient analysis of phenotypic traits and genetic diversity of Aman rice landraces (Oryza sativa L.).

Mohammad Zahidul Islam, Tonmoy Chakrabarty, Nadia Akter, Mohammad Khalequzzaman, Md Ferdous Rezwan Khan Prince, Barry Robert Pittendrigh, M Tomita, M P Ali

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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

8 authors.

Mohammad Zahidul IslamGenetic Resources and Seed Division, Bangladesh Rice Research Institute, Regional Station, Gopalganj, Bangladesh. zahid.grs@gmail.com.
Tonmoy ChakrabartyGenetic Resources and Seed Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh.
Nadia AkterGenetic Resources and Seed Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh.
Mohammad KhalequzzamanBangladesh Rice Research Institute, Gazipur, Bangladesh.
Md Ferdous Rezwan Khan PrinceGenetic Resources and Seed Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh.
Barry Robert PittendrighDepartment of Entomology, Purdue University, West Lafayette, IN, USA.
M TomitaGenetics and Genome Engineering, Faculty of Agriculture, Shizuoka University, 836 Ohya, Suruga-ku, Shizuoka, Japan.
M P AliCrops Division, Bangladesh Agricultural Research Council, Farmgate, Dhaka, Bangladesh. panna_ali@yahoo.com.

Funding

World Bank under the NATP (Phase-2)-CRG, Project ID: 701 701
6 · The paper itself

Abstract

This study examined 48 Aman rice landraces in Bangladesh for genetic variability, trait correlation, and direct and indirect trait impacts on grain yield. All fourteen (14) agro-morphological traits tested exhibited significant differences among the 48 Landraces. Flag leaf area, filled grain number per panicle, thousand-grain weight, grain length, grain breadth, and grain yield were recorded as highly heritable along with high genetic advance and genetic advance as percent of mean. Days to first flowering, filled grain number per panicle, thousand-grain weight, grain length, and kernel length demonstrated a strong favorable effects and associations with yield of grain at the genotypic as well as the phenotypic levels. We have used 69 SSR markers which are dispersed over 12 rice chromosomes to clarify the landraces' genetic divergence, with 328 alleles detected in the allelic diversity profile; 41 unique alleles were identified by 31 SSRs with RM303 producing 5 unique alleles solely. It was identified that, RM206 was found as the most effective marker as it has the highest PIC value. Additionally, three (3) clusters were spotted in the neighboring tree that joins, and 4 major groupings were observed in the dendrogram with a coefficient value of 0.77. Among 48 landraces, 40 were pure and 8 were admixed, with the L30 (Chapail), L32 (Kasra), L36 (Dudhshor), and L40 (Dadkhani) landraces the most diversified among of those studied. Data from this study provides agro-morphological and molecular traits insights with high breeding value to improve the yield of grain and other traits which contributes to the yield.

Indexed as

Genetic VariationOryzaQuantitative Trait, HeritableAllelesBangladeshChromosomes, PlantEdible GrainGenotypeMicrosatellite RepeatsPhenotypePlant BreedingQuantitative Trait Loci

Identifiers

PMID40437022
PMCPMC12120009

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