Assessment of genetic diversity and trait correlation among spine gourd ( <i>Momordica dioica</i> robx.) landraces for genetic improvement

The present study assessed the genotypic and phenotypic diversity and key trait correlations among 17 landraces of Momordica dioica Roxb. and one check genotype to identify promising genotypes for future genetic enhancement. Traits exhibited high genotypic (99.53 %) and phenotypic (97.69 %) coefficients of variation indicating substantial variability with minimal environmental influence. Correlation and path analyses identified fruit yield per plant as strongly influenced by traits such as vine length, internodal length, fruit size, and single fruit weight. Multivariate cluster analysis grouped the genotypes into four distinct clusters, with one cluster (cluster IV) harbouring the largest number of genotypes (n=11) and exhibiting superior mean performance for traits. Molecular diversity analysis using ISSR markers revealed a moderate level of genetic variation among the landraces, with similarity coefficients ranging from approximately 0.75 to 1.00. The ISSR primers generated polymorphic bands, and the observed polymorphic information content (PIC) values indicated moderate to good marker informativeness, confirming the suitability of ISSR markers for diversity analysis in spine gourd. The UPGMA dendrogram based on ISSR data grouped the landraces into distinct clusters, identifying several accessions that were genetically distant from the main groups. These genetically divergent genotypes may be used for hybridization and recombination breeding.

Authors

Institutions

Publication Details

Journal
Cogent Food & Agriculture
Published
2026-02-04
DOI
https://doi.org/10.1080/23311932.2026.2622618
Primary Topic
Advances in Cucurbitaceae Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of genetic diversity and trait correlation among spine gourd ( Momordica dioica robx.) landraces for genetic improvement

Gyana Ranjan Rout, Sasmita Priyadarsini Dash, Subrat Kumar Mahapatra, Dhaneswar Swain et al.
Cogent Food & Agriculture
Advances in Cucurbitaceae Research
article

Assessment of genetic diversity and trait correlation among spine gourd ( Momordica dioica robx.) landraces for genetic improvement

Gyana Ranjan Rout, Sasmita Priyadarsini Dash, Subrat Kumar Mahapatra, Dhaneswar Swain, Lipsa Leena Panigrahi, Priyanka Mahapatra
article en

Abstract

The present study assessed the genotypic and phenotypic diversity and key trait correlations among 17 landraces of Momordica dioica Roxb. and one check genotype to identify promising genotypes for future genetic enhancement. Traits exhibited high genotypic (99.53 %) and phenotypic (97.69 %) coefficients of variation indicating substantial variability with minimal environmental influence. Correlation and path analyses identified fruit yield per plant as strongly influenced by traits such as vine length, internodal length, fruit size, and single fruit weight. Multivariate cluster analysis grouped the genotypes into four distinct clusters, with one cluster (cluster IV) harbouring the largest number of genotypes (n=11) and exhibiting superior mean performance for traits. Molecular diversity analysis using ISSR markers revealed a moderate level of genetic variation among the landraces, with similarity coefficients ranging from approximately 0.75 to 1.00. The ISSR primers generated polymorphic bands, and the observed polymorphic information content (PIC) values indicated moderate to good marker informativeness, confirming the suitability of ISSR markers for diversity analysis in spine gourd. The UPGMA dendrogram based on ISSR data grouped the landraces into distinct clusters, identifying several accessions that were genetically distant from the main groups. These genetically divergent genotypes may be used for hybridization and recombination breeding.

Cogent Food & AgricultureVol. 12(1)
Siksha O Anusandhan University (IN)
Life in Land
Openalex Percentile: Top 63%
Advances in Cucurbitaceae Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessment of genetic diversity and trait correlation among spine gourd ( <i>Momordica dioica</i> robx.) landraces for genetic improvement — Gyana Ranjan Rout, Sasmita Priyadarsini Dash, et al. · Cogent Food & Agriculture (2026) | TGRS Research Map | TGRS