Marker based genetic variability analysis of rice (Oryza sativa L.) landraces for drought tolerance | ||
| African Journal of Biological Sciences | ||
| Article 10, Volume 17, Issue 1, 2021, Pages 117-136 PDF (643.39 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ajbs.2021.158916 | ||
| Authors | ||
| Acharjee Sujan1; Nihar Ranjan Chakraborty* 2; Sankar Prashad Das3 | ||
| 1Department of Genetics and Plant Breeding, Institute of Agriculture, Palli Sikhsha Bhavan, Visva Bharati, Bolpur, West Bengal-731236, India. | ||
| 2Dept. of GPB, Institute of Agriculture, Palli Siksha Bhavana, Visva-Bharati | ||
| 3Indian Council of Agriculture Research-Complex for North Eastern Hilly region, Tripura Centre, Lembucherra, Tripura-799210, India | ||
| Abstract | ||
| Under the present study, assessment of genetic variability of 60 numbers of rice landraces was carried out under morphological and molecular level for selection of promising drought tolerant genotypes under upland ecosystem of North East India. Predominance of additive gene action on characters like leaf rolling index, root: culm ratio, grain yield and other yield contributing traits like plant height came out as effective parameters for selection of drought stress tolerant landraces. Molecular analysis revealed moderate genetic diversity with average Polymorphic Information Content values of 0.44 across the rice landraces. No specific clustering patterns of landraces against some morphological traits numbers of productive tillers per plant, numbers of filled grains per plant etc were found. This signifies the polygenic nature of the quantitative characters and influence of environment on them. Precise correlation between the morphological performance of the landraces and their clustering pattern under molecular analysis was found to be effective in identifying suitable landraces like Chikanswarikabar as a promising parent for future breeding programme and also to formulate efficient strategies for sustainable management of rice landraces under rain fed ecosystem. | ||
| Keywords | ||
| Rice; Landraces; variability; drought; molecular marker | ||
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