This scientic publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.
Rev. Fac. Agron. (LUZ). 2025, 42(2): e254219 April-June. ISSN 2477-9409.
6-7 |
were diameter, length, fruit biomass, pericarp biomass, pulp biomass,
pulp yield and TSS. In the evaluation of 178 feijoa genotypes,
Sánchez-Mora et al. (2019), found that the rst two components of
PCA explained 56.0 % of the variation in the data, and the variables
biomass (-0.54) and, fruit diameter (-0.48), pericarp thickness (-0.45),
pH (-0.66) and titratable acidity (0.64) contributed the most to the
variability.
The variables fruit diameter and fruit length showed signicant
correlation (r= 0.91***) and were highly correlated with fruit
biomass (r= 0.85***; r= 0.90***), suggesting that they are reliable
parameters of feijoa fruit size (Figure 2B). The characteristic pericarp
thickness was correlated with yield (r= -0.50*), being evident that
fruits with higher pericarp thickness aected pulp yield (Figure
2B). In Brazil-type feijoa, Sánchez-Mora et al. (2019), found highly
signicant correlations between fruit biomass with diameter (r=
0.85) and fruit length (r= 0.66), and between pulp yield and pericarp
thickness (r= -0.59). According to Donazzolo et al. (2017), fruit
diameter and fruit length could serve as indirect selection criteria to
increase the biomass of feijoa pulp. The variables titratable acidity
and pH were reported to be highly correlated (r= 0.96***), showing
that the fruits were ready to initiate the dynamic ripening process.
Signicant correlations between titratable acidity and pH (r= -0.49)
were observed in Brazilian feijoa germplasm (Sánchez-Mora et al.,
2019).
In Figure 2B, it is possible to observe that fruit from farms F7 and
F2 showed a wide dispersion, indicating high intra-farm variability,
while fruit from farms F11 and F13 were more concentrated,
suggesting greater homogeneity. Farms F1, F2, F7, F11 and F15
were strongly clustered with larger fruit size, as evidenced by fruit
diameter, length and biomass. Meanwhile, farms F14, F5, F4, F10 and
F13 reported larger diameters in pericarp thickness and TSS. Higher
pulp yields were observed in fruits from F8 and F3. Fruits from F16
were smaller in size. Fruit size and quality characteristics of feijoa
could be related to crop management, such as irrigation, fertilization,
pruning, thinning, pest and disease control, among others.
Conclusions
Feijoa trees in the province of Tungurahua, Ecuador, show similar
characteristics to the Uruguay type. Fruit length and diameter were
highly correlated with fruit biomass, suggesting them as determinant
variables in the selection of trees with commercial potential. The
PCA identied farms F1, F2, F7, F11 and F15 as having better
physico-chemical characteristics of the fruit as evidenced by fruit
diameter, length and biomass, presumably due to crop management
and genotypic characteristics of the trees. The observed variability
in the evaluated traits indicates considerable potential for increasing
productivity through the implementation of appropriate agronomic
management practices, as well as for initiating a breeding programme.
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