Mahendra Kumar Seemar

Principal Component Analysis in Cowpea for Different Genotypes under Field Condition

Mahendra Kumar Seemar, Champa Lal Khatik, Rohit Sharma, Vaibhav Sharma, Lokesh Kumar Jat, Sourabh Sherawat, Vinod Prajapat, Yashpal Choudhary & Krishna Jat · Journal of Advances in Biology & Biotechnology · 2026

Principal Component Analysis (PCA) is a multivariate statistical technique widely used in plant breeding to analyse and simplify complex datasets involving multiple traits. It converts correlated variables into a smaller set of uncorrelated variables called principal components,...

Open access Research Article 10.9734/jabb/2026/v29i53939

The Effect of Genetic Variation and Trait Association in Cowpea [Vigna unguiculata (L.) Walp]

Mahendra Kumar Seemar, Champa Lal Khatik, Kailash Chandra & Mujahid Khan · International Journal of Plant & Soil Science · 2025

A field experiment was conducted for estimate the genetic variability and trait association for yield and yield attributing characters among eighteen genotypes of cowpea [Vigna unguiculata (L.) Walp] in a Randomized Complete Block Design (RCBD) with three replications at Research...

Open access Research Article 10.9734/ijpss/2025/v37i85643

Studies on Growth, Flowering, Post-Harvest and Biochemical Parameters of Standard Chrysanthemum (Chrysanthemum morifolium Ramat.) Varieties under Malwa Plateau Conditions of Madhya Pradesh, India

Sourabh Sherawat, Anuj Kumar, Nitin Soni, Mahendra Kumar Seemar, Babu Lal Yadav & Saroj · Journal of Advances in Biology & Biotechnology · 2026

Chrysanthemum (Chrysanthemum morifolium Ramat.), a prominent ornamental species of the Asteraceae family, is highly valued for its diverse floral forms, vibrant colors, and significant cultural and commercial importance. Its adaptability to photoperiodic manipulation and increasi...

Open access Research Article 10.9734/jabb/2026/v29i43841