Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2021
  • Volume: 81
  • Issue: 1

Principal component analysis of JNPT lines of rice for the important traits responsible for yield and quality

  • Author:
  • Shivangi Rahangdale, Yogendra Singh*, P. K. Upadhyay1, G. K. Koutu
  • Total Page Count: 5
  • Page Number: 127 to 131

1Department of Plant Breeding & Genetics, R.B.S. College, Agra, Uttar Pradesh

Department of Plant Breeding & Genetics, JNKVV, Jabalpur, Madhya Pradesh

*Corresponding author's e-mail: yogendrasinghbt@gmail.com

Online published on 16 August, 2021.

Abstract

In present study, 67 JNPT (Jawahar New Plant Type) lines were evaluated for 28 morphological and quality traits planted in RCBD with three replications. Principal Component Analysis (PCA) revealed that out of 28, only eight PCs exhibited more than 1.0 eigen value and showed about 81.84% total variability. For selecting the high yielding genotypes in rice, the characters viz., spikelet density, spikelet fertility, number of tillers plant−1and panicle weight plant−1 may be considered. On the basis of high PC score ten most prominent lines namely JNPT-1059-9, JNPT-1059-10, JNPT1062-1, JNPT-1062-2, JNPT-1064-9, JNPT-1065-1, JNPT-1065-2, JNPT1065-3, JNPT-1066-52 and JNPT-1068-65 were identified for yield and quality traits.

Keywords

Eigen values, JNPT lines, PC score, Rotated component matrix, Scree plot ion