Genetic Diversity and Stability of Rice Genotypes under Semi-Deep Water (SDW) Ecology in Coastal Sundarbans

NITISH RANJAN PRAKASH; S.K. SARANGI; S. DEVIKA; D. BURMAN; J. SINGH; S.L. KRISHNAMURTHY; K.T. RAVIKIRAN; B.M. LOKESHKUMAR; S. KOTA; B. MAJI

doi:10.54894/JISCAR.44.1.2026.174360

Authors

NITISH RANJAN PRAKASH ICAR-Central Soil Salinity Research Institute, RRS, Canning -743 329, West Bengal, India; ICAR-Central Soil Salinity Research Institute, Karnal - 132 001
S.K. SARANGI ICAR-Central Soil Salinity Research Institute, RRS, Canning -743 329, West Bengal, India ; ICAR - Central Institute for Women in Agriculture, Bhubaneswar, Odisha -751 003, India
S. DEVIKA ICAR-Central Soil Salinity Research Institute, RRS, Canning -743 329, West Bengal, India
D. BURMAN ICAR-Central Soil Salinity Research Institute, RRS, Canning -743 329, West Bengal, India
J. SINGH ICAR-Central Soil Salinity Research Institute, Karnal - 132 001, Haryana, India
S.L. KRISHNAMURTHY ICAR-Central Soil Salinity Research Institute, Karnal - 132 001, Haryana, India; ICAR-Indian Institute of Rice Research, Hyderabad - 500 030, Telangana, India
K.T. RAVIKIRAN ICAR-Central Soil Salinity Research Institute, RRS, Lucknow - 226 002, Uttar Pradesh, India
B.M. LOKESHKUMAR ICAR-Central Soil Salinity Research Institute, Karnal - 132 001, Haryana, India
S. KOTA ICAR-Indian Institute of Rice Research, Hyderabad - 500 030, Telangana, India
B. MAJI ICAR-Central Soil Salinity Research Institute, RRS, Canning -743 329, West Bengal, India

https://doi.org/10.54894/JISCAR.44.1.2026.174360

Keywords:

Biplot analysis, Coastal rice ecologies, Diversity analysis, GGE, Semi-deep rice, Stability analysis

Abstract

Semi-deep ecology for rice cultivation comprised of waterlogged situation (50-100 cm) for >2 months in field during vegetative and reproductive phases. Coastal low-lying areas are affected with high erratic rainfall and are affected by such conditions. The present study was carried out to find stable and high performing genotypes for varietal release pipeline as well as for finding suitable parents for generating better adapted rice germplasms. Based on seven consecutive years of phenotypic evaluation for days to 50% flowering, plant height, number of tillers per hill and number of panicles per plant, grain yield, straw yield, biomass and harvest index (HI), stable and high performing genotypes were identified. Manas Swarobor, Swarna-sub1, Purnendu, and Tilak Kesari are the underperforming genotypes, whereas Geetanjali and Najani have been the top achievers over the years. The yield of all 25 genotypes in each of the seven seasons was analyzed using a genotype and genotype-environment (GGE) biplot. 44.06% and 18.91% of the phenotypic variability (a total of 62.97%) could be explained by the two primary principal components. The seven environments were divided into two clusters: Cluster-1 (2015 and 2016), Cluster- 2 (2020, 2017, 2021, 2018), and one (2019) at a different node. In most situations, Geetanjali, CSRC(D)12- 8 -12, and CSRC(D)13 -16 -19 were found to perform better. In 2015 and 2016, CSRC(D)7- 5- 4 performed better. Grain yield in the current study was a clear indication of how sowing date and regional characteristics affect varietal performance. In breeding programs, varieties like Geetanjali can be excellent parents and are best suited for all seasons. It is possible to push advanced breeding lines like CSRC(D)13 -16 -19, CSRC(D)12- 8 -12, and CSRC(D)7- 5 - 4 to the varietal evaluation pipeline (AICRIP) for release.

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