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Book of Extended summaries ISDA

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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />

Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />

parts <strong>of</strong> North-Eastern region <strong>of</strong> India based on root architecture for their tolerance to<br />

waterlogged condition at vegetative stage.<br />

Methodology<br />

A total <strong>of</strong> 37 inbred lines (32 from ICAR, Sikkim Centre and 5 from ICAR-IIMR, Ludhiana)<br />

were used for the present study. The evaluation <strong>of</strong> landraces for waterlogging tolerance at V 5-<br />

6 stage was undertaken under 2 sets <strong>of</strong> experiments viz., field and microcosm in 2 replications<br />

at Research farm <strong>of</strong> ICAR-RC-NEH Region, Sikkim Centre during 2022. For screening,<br />

artificial flooding was provided at V 5-6 stage to a depth <strong>of</strong> 20cm above the soil surface<br />

continuously for 15 days and data are recorded based on maize Shovelomics. The “Response<br />

Coefficient” (RC) as phenotypic plasticity index (Poorter and Nagel 2000, Abenavoli et al.<br />

2016) and Waterlogging Tolerance Index (WTC) (Liu et al. 2010) were calculated.<br />

Results<br />

Root scanner images <strong>of</strong> the roots <strong>of</strong> inbred lines showed sharp differences between the control<br />

and waterlogged conditions. Based on visual scoring <strong>of</strong> root architecture using Shovelomics,<br />

score ranged from 1 to 9 for the traits brace roots angle (BA), brace roots branching density<br />

(BB), crown roots number (CN), crown root s angle (CA) and crown roots branching (CB).<br />

Some <strong>of</strong> the promising lines identified based on WTC and RC values from the 1 st year trail<br />

were UMI-1810, IML-418-1, RCS-31(Mani-31-2-2), RCS-29 (Mizo-29-4-1), RCS-4 (Mani-4-<br />

1-1) and RCS-21(Mizo-21(B)-2-3).<br />

Root scanner images <strong>of</strong> roots <strong>of</strong> maize inbred lines under waterlogged and control conditions<br />

Managing genetic resources for enhanced stress tolerance<br />

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