Principal Component Analysis for Assessing Genetic Variation and Key Traits in Bottle Gourd [Lagenaria siceraria (Molina) Standl.] Genotypes
Khansa Bashir
Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Ummyiah H. Masoodi *
Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Nageena Nazir
Division of Agricultural Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Gowhar Ali
Division of Genetics and Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Ashutosh Gautam
Spice Board Regional Office, Srinagar-190 008, Jammu and Kashmir, India.
Oneza Aftab
Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Nowsheen Noor
Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Gazala Nazir
Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Syed Berjes Zehra
Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
Asima Amin
Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar-190 025, Jammu and Kashmir, India.
*Author to whom correspondence should be addressed.
Abstract
The present investigation was carried out at the Experimental field of Urban Technological Park Habbak, Srinagar, Jammu and Kashmir during kharif-2022. The experiment was laid out in Augmented Randomized Block Design with three blocks and plant spacing of 2×1 m for seventy-seven genotypes including two checks, Pusa Naveen and Pusa Santushti. Observations were recorded for growth and yield traits, seed traits and quality parameters. Principal Component Analysis (PCA) was carried out based on twenty-one quantitative and four quality characters in bottle gourd. Six out of the ten principal components, with eigen values above 1.0, explained 69.56% of the total variation. The first PC accounts for the maximum variability in the data i.e., 20.08%. The remaining variability of 17.90%, 10.05%, 8.23%, 6.82% and 6.48% was consolidated in PC2, PC3, PC4, PC5 and PC6 respectively. This population panel can be used for trait improvement in breeding programs for the traits contributing to major variation because the results of the principal component analysis used in the study have shown the high level of genetic variation and the traits contributing to the variation.
Keywords: Bottle gourd, eigen value, PCA