Identification of important characters by principal component analysis in sesame germplasm


Abstract views: 31 / PDF downloads: 2

Identification of important characters by principal component analysis in sesame germplasm

Authors

  • MANASI DASH University of Agriculture and Technology, Bhubaneswar-751 003, Odisha
  • SANDEEP KUMAR SINGH University of Agriculture and Technology, Bhubaneswar-751 003, Odisha
  • BANSIDHAR PRADHAN University of Agriculture and Technology, Bhubaneswar-751 003, Odisha

https://doi.org/10.56739/jor.v37iSpecialissue.139199

Keywords:

Germplasm, Sesame, Component analysis

Abstract

The objective of the present research was to identify superior sesame genotypes and important characters in order to explain their differences for further use in cultivar development program. Based on principal component analysis the first three principal components accounted for 65.93% of total variations. Among the nine morphological traits seed yield/plant, branches/plant, capsules/plant and plant height were greater contributors to variability. Hence in designing a hybridization program due weightage can be given to these four characters.

Downloads

Download data is not yet available.

References

Yol E and Uzun B 2012. Geographical patterns of sesame (Sesamum indicum L.) accessions grown under

Mediterranean environmental conditions, and establishment of a core collection, Crop Science, 52:2206−2214. DOI: https://doi.org/10.2135/cropsci2011.07.0355

Rao C R 1952. Advanced Statistical Methods in Biometerical Research, John Wiley and Sons Inc., New York.

Downloads

Submitted

2023-07-13

Published

2020-03-12

Issue

Vol. 37 No. Specialissue (2020): Journal of Oilseeds Research

Section

Articles

License

The Journal of Oilseeds Research reserves all the copy rights of the published articles and prior permission is to be taken from the journal office if any part of the published articles is to be reproduced in any form in any other publication.

How to Cite

MANASI DASH, SANDEEP KUMAR SINGH, & BANSIDHAR PRADHAN. (2020). Identification of important characters by principal component analysis in sesame germplasm: Identification of important characters by principal component analysis in sesame germplasm. Journal of Oilseeds Research, 37(Specialissue). https://doi.org/10.56739/jor.v37iSpecialissue.139199