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Germplasm characterization of Indian avocados based on morphological and biochemical traits

Published online by Cambridge University Press:  16 June 2025

Muralidhara B. M.*
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Sakthivel T.
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Karunakaran G.
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
K. S. Shivashankara
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Keshava Rao Vala
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Venugopalan R.
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Siddanna Savadi
Affiliation:
ICAR-Directorate of Cashew Research, Puttur, India
Venkataravanappa V.
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Karthik Nayak V. S.
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Lakshmana Reddy D. C.
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bengaluru, India
Honnabyraiah M. K.
Affiliation:
College of Horticulture, University of Horticultural Sciences, Bagalkote, India
*
Corresponding author: Muralidhara B.M. Email: muralidhara.bm@gmail.com
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Abstract

Avocado is a delicious fruit crop having great economic importance. Understanding the extent of variability present in the existing germplasm is important to identify genotypes with specific traits and their utilization in crop improvement. The information on genetic variability with respect to morphological and biochemical traits in Indian avocados is limited and as it has hindered genetic improvement of the crop. In the current study, 83 avocado accessions from different regions of India were assessed for important 17 morphological and 8 biochemical traits. The results showed the existence of wide variability for traits such as fruit weight (75.88–934.12 g), pulp weight (48.08–736.19 g), seed weight (6.37–32.62 g), FRAP activity (27.65–119.81 mg AEAC/100 g), total carotenoids (0.96–7.17 mg/100 g), oil content (4.91–25.49%) and crude fibre (6.85–20.75%) in the studied accessions. The first three components of principal component analysis explained 54.79 per cent of total variance. Traits such as fruit weight, pulp weight, seed weight, moisture and oil content contributed more significantly towards total variance compared to other traits. The dendrogram constructed based on Euclidean distance wards minimum variance method divided 83 accessions into two major groups and nine sub clusters suggesting wide variability in the accessions with respect to studied traits. In this study, superior accessions for important traits such as fruit size (PA-102, PA-012), high pulp recovery (PA-036, PA-082,), thick peel (PA-084, PA-043, PA-011, PA-008), high carotenoids (PA-026, PA-096) and high oil content (PA-044, PA-043, PA-046, PA-045) were identified which have potential utility in further crop improvement programmes.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of National Institute of Agricultural Botany.
Figure 0

Figure 1. Genetic diversity in Indian avocados for fruit morphological characters.

Figure 1

Table 1. Estimates of variability for morphological and biochemical traits of Indian avocado accessions

Figure 2

Figure 2. Dendrogram showing avocado accessions in different clusters. the 17 morphological and 8 biochemical traits of 83 avocado accessions were considered for grouping. the Euclidean distance following wards minimum variance method was used for grouping of accessions. The dendogram resulted in two major groups.

Figure 3

Figure 3. Biplot of the first two components (dim 1 and dim 2) resulting from the PCA analysis performed on 25 morphological and biochemical traits of 83 avocado accessions. The lines of different traits in biplot explain the contribution (direction and magnitude) of the traits in the principal components of dimension 1 and dimension 2. The position of accessions explains the distinctiveness of the accessions for different traits. The number depicts the accession numbers without the prefix PA.

Figure 4

Table 2. Eigen values and per cent of variance for different principal components

Figure 5

Table 3. Per cent contribution of different traits on first eight principal components

Figure 6

Table 4. The superior accessions for important morphological and biochemical traits

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