Unravelling genetic diversity in linseed using hierarchical cluster and principal component analysis

The present investigation was carried out with 178 linseed accessions including two checks (PKVNL-260 & TL-99) at AICRP on Linseed and Mustard farm, College of Agriculture, Nagpur to assess the extent of genetic diversity and to select the potential diverse parents for the improvement of yield and yield attributing traits in linseed. The accessions were divided into 13 divergent groups using the Wards clustering approach. Cluster III, was largest and consists of 28 accessions, shows a fair connection of genetic variation. Out of 11 PC, PC1 to PC4 with more than one Eigen values account for 65.23 percent of the variability. The accessions viz., EC0718827, EC0718829, EC22813, EC0041764, EC0041598, EC0022813-B, EC0718848, EC0000526, EC41659, EC0541202, EC0000541-A and EC0001403 showed genetic diversity for seed yield per plant, number of capsules per plant and resistance to bud fly infestation. The information obtained from this study can be used to plan crosses and maximize the use of genetic diversity and expression of heterosis.

Authors

Institutions

Publication Details

Journal
Journal of Oilseeds Research
Published
2024-12-30
DOI
https://doi.org/10.56739/cpjetv72
Primary Topic
Phytoestrogen effects and research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unravelling genetic diversity in linseed using hierarchical cluster and principal component analysis

Kapil Amarnath, Beena Nair, B. Chandra Reddy, A. S. Reddy
Journal of Oilseeds Research
Phytoestrogen effects and research
article

Unravelling genetic diversity in linseed using hierarchical cluster and principal component analysis

Kapil Amarnath, Beena Nair, B. Chandra Reddy, A. S. Reddy
article en

Abstract

The present investigation was carried out with 178 linseed accessions including two checks (PKVNL-260 & TL-99) at AICRP on Linseed and Mustard farm, College of Agriculture, Nagpur to assess the extent of genetic diversity and to select the potential diverse parents for the improvement of yield and yield attributing traits in linseed. The accessions were divided into 13 divergent groups using the Wards clustering approach. Cluster III, was largest and consists of 28 accessions, shows a fair connection of genetic variation. Out of 11 PC, PC1 to PC4 with more than one Eigen values account for 65.23 percent of the variability. The accessions viz., EC0718827, EC0718829, EC22813, EC0041764, EC0041598, EC0022813-B, EC0718848, EC0000526, EC41659, EC0541202, EC0000541-A and EC0001403 showed genetic diversity for seed yield per plant, number of capsules per plant and resistance to bud fly infestation. The information obtained from this study can be used to plan crosses and maximize the use of genetic diversity and expression of heterosis.

Journal of Oilseeds ResearchVol. 41(3 & 4)
Acharya N. G. Ranga Agricultural University (IN), Dr Panjabrao Deshmukh Krishi Vidyapeeth (IN), Bihar Agricultural University (IN)
Openalex Percentile: Top 58%
Phytoestrogen effects and 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.