Abstract

Salinity screening of 24 rice genotypes was performed at the reproductive stage for evaluating their salt tolerance level. On the basis of yield and yield components, genotypes were categorized as tolerant, susceptible and moderately tolerant. PBRC-30, Ashfal, Horkuch, STL-20 and Pokkali were found as tolerant while Binadhan-7, S-39 L-11, S-37 L- 27, S-37 L-36 and S-37 L-39 were found as susceptible. Selected three SSR markers viz. RM336, RM21 and RM510 were used to determine salinity tolerance. The genetic diversity was ranges from 0.8194 to 0.8854 with an average of 0.8530. The highest PCI value was 0.8742 and the lowest was 0.8004 from RM510 and RM21, respectively. The UPGMA clustering system generated six genetic clusters. The highest genetically dissimilarity of (Cluster 1) vs (Cluster 2 sub-cluster A) and the crossing would be helpful for salt tolerant rice development. Thus, selected SSR primers and genotypes would be useful in marker assisted breeding, quantitative trait loci (QTL) mapping and gene pyramiding in breeding programmed for improvement of rice for salt tolerance.SAARC J. Agri., 15(2): 69-80 (2017)

Highlights

  • Rice (Oryza sativa L.) is the staple food for one third of the world’s population and occupies almost one-fifth of the total land area covered under cereals (Chakravarthi and Naravaneni, 2006)

  • PBRC-30, Ashfal, Horkuch and STL-20 were found tolerant, on the other hand Binadhan-7, S-39 L-11, S-37 L-27, S-37 L-36 and S-37 L-39 were found susceptible for all the traits

  • Out of 21 primers tested three primers (RM336, RM21 and RM510) were selected for genotyping across the 24 rice genotypes tested in this study

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Summary

Introduction

Rice (Oryza sativa L.) is the staple food for one third of the world’s population and occupies almost one-fifth of the total land area covered under cereals (Chakravarthi and Naravaneni, 2006). This staple food ranked first position by production (130 Lac Metric Tons) during the year 2013-14 among all cereals in Bangladesh (BBS, 2013). Tiller numbers per plant and harvest index are important agronomic characters for the prediction of rice yield These yield components are severely affected by salinity (Mojakkir et al, 2015). The objective of this study was assessing phenotypic variability of rice genotypes under salt stress at reproductive stage and identification of salt tolerant rice genotypes

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