Articles
AGRONOMIC AND MOLECULAR CHARACTERIZATION OF GAMMA RAY-INDUCED BANANA (MUSA SP.) MUTANTS USING A MULTIVARIATE STATISTICAL ALGORITHM
Article number
986_27
Pages
251 – 254
Language
English
Abstract
The objective of the present work was to evaluate the genetic variability in putative Pacovan (AAB) mutants obtained through gamma ray-irradiation, using a set of agronomical and molecular data (ISSR markers). The distance between the putative Pacovan mutants varied from 0.26 to 0.64 with cophenetic correlation coefficient of 0.7669. Four mutants were selected based on best agronomic characteristics, including plant stature.
Data show that there is variability that can be explored after the irradiation of Pacovan bananas, which can be used in a banana breeding program aiming to develop new shorter cultivars that also present other good agronomic characteristics.
This is the first attempt to use combined data in order to evaluate the genetic variability in putative banana mutants.
Data show that there is variability that can be explored after the irradiation of Pacovan bananas, which can be used in a banana breeding program aiming to develop new shorter cultivars that also present other good agronomic characteristics.
This is the first attempt to use combined data in order to evaluate the genetic variability in putative banana mutants.
Authors
R.K.N. Pestana, E.P. Amorim, C.F. Ferreira, V.B.O. Amorim, L.S. Oliveira, C.A.S. Ledo, S.O. Silva
Keywords
genetic variability, ISSR markers, ‘Pacovan’, banana breeding
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