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Genetic variability, heritability and genetic advance for quantitative traits of Arabica coffee (Coffea arabica L.) genotypes

Published online by Cambridge University Press:  15 September 2023

N. Gokavi*
Affiliation:
Central Coffee Research Institute, Balehonnur-577 117, Karnataka, India
P. M. Gangadharappa
Affiliation:
College of Horticulture, Munirabad-583 233, Karnataka, India
D. Sathish
Affiliation:
College of Horticulture, University of Horticultural Sciences, Bagalkot-583 234 Karnataka, India
S. Nishani
Affiliation:
Kittur Rani Channamma College of Horticulture, Arabhavi-591 218, Karnataka, India
J. S. Hiremath
Affiliation:
Kittur Rani Channamma College of Horticulture, Arabhavi-591 218, Karnataka, India
S. Koulagi
Affiliation:
Kittur Rani Channamma College of Horticulture, Arabhavi-591 218, Karnataka, India
*
Author for correspondence: Nagaraj Gokavi, E-mail: sanvinagaraj17@gmail.com

Abstract

In coffee breeding, selection of mother plants based on the yield potential, resistance to diseases and pest and bean quality are considered as the important criteria. Hence, utilisation and evaluation of coffee germplasm is the crucial step in the improvement process. With this background, an experiment was conducted to study the genetic diversity of 41 Arabica coffee genotypes in India during 2020–2021 and 2021–2022. Study reveals that, the analysis of variance revealed significant differences among the genotypes for all the characters studied indicating the presence of variability. Relatively higher values for GCV were observed for number of secondaries per primary (29.77 and 24.84%), total nodes per primary (30.07 and 26.62%), bearing nodes per primary (35.72 and 29.03%), number of flower buds per primary (40.79 and 33.68%), number of fruits per primary (49.64 and 36.39%) and per cent ‘A’ grade bean (37.47 and 37.83%) than PCV indicating the influence of environmental variations is less and prevalence of additive gene action. Similarly, high magnitude of heritability (>80%) combined with a strong genetic advance as per cent of mean (>20%) was established for most of the growth and yield attributing traits including caffeine content and per cent ‘A’ grade bean (100%) during both the years of study 2020–2021 and 2021–2022, respectively indicated better scope for genetic improvement in these character through simple selection. The variability observed among the genotypes should be further confirmed by using the molecular markers.

Type
Research Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of National Institute of Agricultural Botany

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