Principle Component Analysis (PCA) and Character Interrelationship of Irrigated Blackgram [Vigna mungo (L.) Hepper] Influenced by Liquid Organic Biostimulants in Western Zone of Tamil Nadu

Background: Blackgram [Vigna mungo (L.) Hepper] has significant agronomic and nutritional significance. Its productivity is insufficient to fulfil the expanding local demand in India. Increasing its using appropriate practices crucial. With this background, an experiment was conducted study effect of foliar application liquid organic bio-stimulants on development, production physiological characteristics blackgram under irrigated conditions. Methods: Seven treatments comprising recommended dose fertilizers (RDF) with spray dhasagavya, rhizobium, fish amino acid, panchagavya, PPFM seaweed extract at 1% 3%, respectively were tested randomised block design three replications. The dimension quantitative characters, viz., grain yield, plant height, number branches per plant, dry matter (DMP), leaf area index (LAI), pods seeds pod, pod weight length, crop growth rate, total chlorophyll content, soluble protein content nitrate reductase activity reduced principal component analysis (PCA). Result: PCA performed all attributes as correlation between characters found be stronger among most biometric observations. It noticed that almost 67% data’s variability, reflected by first two components. demonstrated production, DMP, activity, primary contributors.