Publication: Assessment of Drought Tolerance Ability of Selected Finger Millet Varieties in Sri Lanka
DOI
Type:
Article
Date
2021-09-25
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Humanities and Sciences,SLIIT
Abstract
Finger millet (Eleusine coracana (L.) Gaertnis is a
highly nutritious cereal crop widely cultivated in Sri
Lanka. Drought is a major abiotic stress which leads
to limit plant’s growth and productivity. Two
cultivated finger millet varieties
(Rawana and Oshada) and three promising
accessions (ACC: 7090, ACC: 7088, and ACC: 12415)
were screened in a poly-house for drought tolerance
using morpho-physiological traits and assessed
using 5 selected Simple Sequence Repeat (SSR)
markers (UGEP3, UGEP10, UGEP24, UGEP60, and
UGEP78). Drought response was assessed using 9
morpho-physiological parameters. Through parallel
analysis with control plants, it indicated that
the variety Oshada performed effectively under
drought stress compared to the other genotypes
while Rawana indicated more sensitiveness to water
withholding. DNA from each finger millet genotypes
was amplified using selected SSR markers
separately. Even though all five selected SSR markers
exhibited comparatively higher polymorphism
among the finger millet genotypes in previous
studies, none of the markers showed the presence of
polymorphism in the narrow genetic variation
among the studied five genotypes. Interrelationships
among the different agronomic traits measured were
studied using Principal Component Analysis (PCA).
PCA revealed that shoot dry weight (SDW), shoot
fresh weight (SFW), shoot length (SL) and root dry
weight (RDW) have contributed to the two principal
components collectively. Hence, these traits can be
effectively used in breeding programmes to generate
variability. Furthermore, studies should be
conducted with a greater number of SSR markers in
order to have an in-depth assessment of genetic
variability in the cultivated finger millet genotypes.
Description
Keywords
Drought tolerance, Finger millet, Principal Component Analysis, Simple Sequence Repeat markers
