Affiliation:
1. Department of Plant Production and Genetics, Faculty of Agriculture, University of Maragheh, Maragheh, Iran
2. Dryland Agricultural Research Institute, Maragheh, Iran
3. Department of Horticultural Sciences, Faculty of Agriculture, University of Maragheh, Maragheh, Iran + Islamic Parliament Research Center, Tehran, Iran
Abstract
Grass pea (Lathyrus sativus L.) is relatively tolerant to several abiotic
stresses such as salinity. Twenty-five grass pea genotypes provided by the
Dryland Agricultural Research Institute, Maragheh, Iran, were exposed to
four salinity levels (0, 40, 80, 120 mM). Based on the primary screen, 8
tolerant genotypes and 17 sensitive genotypes were selected. Principal
components analysis for the sensitive and tolerant genotypes showed that the
first four components explained approximately 71-80% of variance. In PCA,
the coefficients associated with leaf showed that, in tolerant genotypes,
leaf length and leaf number increased but, leaf width decreased. In other
words, salinity stress makes the leaves grow larger and longer, but the
width of the leaves decreases and angle of the leaf becomes tighter. So,
these traits may be used as an index of salinity tolerance in grass pea
selection programs. Cluster analysis based on Ward?s algorithm and Euclidean
distance measure effectively separated the tolerant and sensitive genotypes.
Cut off dendrogram located tolerant genotypes (except one genotype) in the
same subgroup. This fact shows that cluster analysis efficiently divided
and/or separated semi-tolerant tolerant genotypes. Shoot dry weight had
significant negative correlation with pH, plumule length and plantlet
length. Path analysis on tolerant genotypes, revealed the direct effects of
leaf number and pod number with shoot dry weight. In stepwise regression,
two traits including leaf number and pod number were entered into the model.
The results showed that leaf number and pod number had the most direct and
positive effect on the shoot dry weight, and the plant height had the
highest indirect effect through leaf number on the shoot dry weight. About
sensitive genotypes, the results showed that leaf number and fruit fresh
weight had the most direct and positive effect on the shoot dry weight, and
the plant height had the highest indirect effect through leaf number on the
shoot dry weight. Several characteristics were identified to explain shoot
dry weight during path analysis. The selections based on the identified
characters would be more effective in improving yield in the breeding
programs of grass pea.
Publisher
National Library of Serbia