Raj Kishori Lal and C.S. Chanotiya
J. Agri. Res. Adv., 07 (04):17-32
Raj Kishori Lal: CSIR-CIMAP, Lucknow India
C.S. Chanotiya: CSIR-CIMAP, Lucknow, India. 226015
Article History: Received on: 19-Sep-25, Accepted on: 21-Dec-25, Published on: 25-Dec-25
Corresponding Author: Raj Kishori Lal
Email: rajkishorilal@gmail.com
Citation: Lal RK and Chanotiya CS (2025). Emergence of stable genotypes by parallel selection under the influence of genotype-environment interactions in basil. J. Agri. Res. Adv., 07 (04):17-32
Aim: The aim of the study was to evaluate
the stability, reliability and suggestions for making essential oils from
commercial basil genotypes.
Materials
and Methods: To examine the stability of genotypes, field
experiments were conducted in three years and twelve distinct basil cultivars
were examined in order to identify those that consistently produced high levels
of linalool oil under various settings and seasons.. The RBD two factor design
and Principal component analysis (PCA) were performed to explore the
interrelationships among traits under different environments.
Results:
Results revealed that the genotypes for essential oil yield and O-2,
O-6, and O-10 for linalool content (%) had the most adaptability and were the
most stable variety due to their capacity to endure a broad range of
environmental conditions over time. Given this, it can be said that the
genotypes/varieties O-6, OC-8, and OC-10 were the most stable and had good
yield performance for linalool content (%) and essential oil production. PCA
revealed significant genetic variation in this basil sample as well, with PC1
through PC12 exhibiting high variable data values for each PC. The PCA also
revealed the considerable genetic variety in this set of basil materials.
For example, PC1 to PC11 showed extremely varying data values for each PC.
Among the twelve characteristics of the basil, the corresponding greatest
eigenvalues were 5.121 and the percentage of variances was 42.671.
Conclusion: It was concluded that genotypes O-6, OC-8, and OC-10 and variability can be efficiently used for additional genetic progress through heterosis breeding.
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