Abstract
Abstract The present study consists of the in situ characterization and selection of minimal morphoagronomic descriptors in Passiflora cincinnata genotypes. Forty-one quantitative morphoagronomic descriptors were used, divided in “Plant and Leaf”, “Floral” and “Fruit”. Principal component analysis were used to eliminate descriptors that were less important in the study of multivariate dissimilarity among genotypes. The formation of groups was carried out using Ward’s hierarchical grouping method. The importance of the characters was estimated through the participation of the components by Singh’s method (1981) in order to verify the similarity between lower participation variables in the components. For the set of descriptors “Plant and Leaf” the characteristics that presented the greatest relative contributions were: maximum leaf width 76.1% and leaf blade length 17.2%. For the set of descriptors “Floral” the characteristics that presented the greatest relative contributions were: pedicel length 42.1%, corona tip diameter 32.6% and petal length 11.8%. For the set of descriptors “Fruit” the characteristic that presented the greatest relative contribution was: number of seeds per fruit 89.2%. From the results obtained, we can infer that from the 41 descriptors, only 15 were relevant for the evaluation of the genetic diversity among the individuals of the population. These descriptors were: titratable acidity, bract length, leaf blade length, petal length, sepal length, pedicel length, corona filament ring length, corona tip diameter, fruit longitudinal diameter, sepal width, maximum leaf width, number of fruits, number of seeds per fruit, bark weight and fruit mass.
Highlights
Material and methodsThere is a great variety of fruit plants that occur in the Caatinga biome and/or adapted to the dry conditions, of exotic flavors, which attend to the current trends of natural products consumption, that reinforces the initiatives of collection, characterization and cultivation in commercial scale of these fruit trees (Kiill et al, 2008)
With the same group of descriptors, principal component analysis (PCA) was used to eliminate descriptors that are less important in the study of multivariate dissimilarity between genotypes, having as main criterion the maintenance of descriptors with higher eigenvector in the first components and the removal of higher eigenvector descriptors in the final components until the first two main components accounted for at least 70% of the data variation
The genotypes sampled in Vitória da Conquista and Belo Campo represent a small genetic variability of the species
Summary
Material and methodsThere is a great variety of fruit plants that occur in the Caatinga biome and/or adapted to the dry conditions, of exotic flavors, which attend to the current trends of natural products consumption, that reinforces the initiatives of collection, characterization and cultivation in commercial scale of these fruit trees (Kiill et al, 2008). Among P. cincinnata populations, there are vigorous and very diverse plants, showing variation in flower color, fruit size, juice color and taste (Oliveira & Ruggiero, 2005) This wild Passiflora species is used in large scale in fruit extractivism, which generates seasonal employment and income in the countryside (Junior et al, 2010; Pereira et al, 2012), and it is characterized by its resistance to long periods of drought (Pereira et al, 2012). This characteristic, allied to the general rusticity in field conditions, could be incorporated to commercial passion fruit (Junqueira et al, 2005)
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