Indian Society of Genetics & Plant Breeding


Genetic diversity, association and principle component analyses for agronomical and quality traits in genomic selection training population of groundnut (Arachis hypogaea L.)

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Groundnut (Arachis hypogaea L.) is the world’s third
important source of oil. A Genomic Selection Training
Population (GSTP) comprising 340 genotypes was evaluated
over four locations for two seasons to study genetic
variability and association among agronomical and quality
traits. GSTP exhibited significant variation among the
genotypes, seasons and G x E interaction. Moderate to
high magnitude of genotypic coefficient of variation and
phenotypic coefficient of variation coupled with high
heritability was observed for most quality traits. The first 7
components of PCA analysis contributed more than 75%
cumulative variability. The training population grouped into
three clusters in both the seasons. The number of pods/
plant, pod and seed yield/plant were significantly and
positively associated with each other, while test weight
had negative association with number of pods/plant and
had positive association with pod and seed yield during
rainy season of 2015. The significant positive correlation
was also observed between oil, linoleic acid and stearic
acid; similarly, linoleic acid had positive association with
stearic acid and palmitic acid. Significant negative
correlation was observed between oil and protein content,
oleic acid and linoleic acid content. The superior genotypes,
namely, ICG 5221, ICGV 01393, ICGV 07220, ICGV 97120,
ICGV 06420, ICG 9507, ICGV 06188 and ICGV 00440 were
best performer for yield, yield components and nutritional
quality traits while ICG 2381 and ICG 5221 recorded a better
performance for oil content. The rainy season was found
to have an advantage for vegetative, physiological growth,
oil content, oleic and oleic to linoleic ratio while the postrainy season led to forced pod filling and reduced maturity.

Keywords: Genomic selection, GCV, PCV, genetic variability, correlation.


Year: 2020
Volume: 80
Issue: 3
Article DOI: 10.31742/IJGPB.80.3.7
Print ISSN: 0019-5200
Online ISSN: 0975-6906



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