Abstract:
Rice, an important staple crop in Asia, exhibits a significant relationship
between phenotypic traits and yield performance depending on ecological
zones and submergence conditions. In Rathnapura, IR19A8790 stands out in
the number of plant rows, while IR19A7712 lags behind in the same feature.
In contrast, in Horana, IR19A7668 outperforms the number of plant rows,
while IR19A9132 does not do as well. Rathnapura has a spectrum of varieties,
with IR19A8982 and 30 others showing superior performance at 50%
flowering, reflecting Horana's varieties including IR19A7798, IR19A7885,
IR19A8596, IR19A8762, IR19A8982, IR19A8989, IR19A9000,
IR19A9140, IR19A9153, IR19A7679, IR19A7963, IR19A8597,
IR19A8784, IR19A8975 and IR19A8997. Rathnapura's IR19A7798 and
IR19A9003 are distinguished by plant height, IR19A8994 by panicle
number, IR19A9132 by panicle weight, IR19A8992 by 100-seed weight, and
IR19A8574 by panicle seed number. Horana's IR19A8791 is characterized
by plant height, IR19A7710 by the number of panicles, IR19A7972 by the
weight of panicles, IR19A7972 by the weight of 100 seeds and IR19A7983
by the number of panicle seeds. The best performing varieties are
IR19A8589, IR19A9150, IR19A7868, IR19A9128, IR19A7990 in
Rathnapura and IR19A8592, IR19A8582, IR19A8589, IR19A8584,
IR19A8588 in Horana. This research investigates ethylene dynamics in plant
responses under stress conditions using live plant samples and a headspace
extraction method. Despite careful execution, challenges were encountered
in detecting ethylene content using GCMS analysis due to factors such as
sample exposure time, GCMS instrument sensitivity, and solvent selection
and need re-evaluation for conclusion.
