Indra Deo

Genetic Divergence and Quantitative Trait Analysis of Yield-related Attributes in Rice (Oryza sativa L.) through Mahalanobis D² Analysis

Nidhi, D.C. Baskheti, Indra Deo, Anil Kumar, Pushpa Lohani, Satvinder Singh, Tripti Tripathi & Amit Kumar · Journal of Advances in Biology & Biotechnology · 2025

Aims: The aims of this study estimating the genetic components of variance, heritability and genetic advance and quantifying the genetic divergence among genotypes using D2 analysis to identify promising parents for strategic cross breeding programs. Study Design: The experiment...

Open access Research Article 10.9734/jabb/2025/v28i123449

Quantitative Genetic Analysis of Yield and Quality Attributes in Non-Basmati Rice Lines: Implications for Breeding

Satvinder Singh, D.C. Baskheti, Indra Deo, Anil Kumar, Pushpa Lohani, M.K. Nautiyal & Nidhi Sharma · Journal of Advances in Biology & Biotechnology · 2025

A study was conducted to assess genetic variability, heritability, and potential for genetic improvement among 30 non-basmati rice germplasm lines under field conditions at NEBCRC, GBPUA&T, Pantnagar. A set of important agronomic, yield-component and grain quality traits, inc...

Open access Research Article 10.9734/jabb/2025/v28i123417

DUS Characterisation of Advanced Recombinant Lines of Kalanamak Rice (Oryza sativa L.) Using Morphological Descriptors and Quality Parameters

Banshidhar ., Priyanka Jaiswal, Mithilesh Kumar Singh & Indra Deo · Current Journal of Applied Science and Technology · 2019

The present investigation was undertaken with the objective of DUS characterisation of advanced recombinant lines of Kalanamak rice for 47 visually assessed characters and 15 quantitative characters. Trials were conducted for two seasons during Kharif 2016 and 2017 at Norman E. B...

Open access Research Article 10.9734/cjast/2019/v38i630408