| dc.description.abstract | The current problems of rice production could be done by a strategic frame
which involves interdisciplinary research i.e. mathematical and physicalbiophysical,
to strengthen the environmental sustainability of agricultural land.
Under proposed framework, three models based on experiments was developed.
First, the shoot root ratio models on the projection doses of Pb and Cu. The
second model was the shoot to root ratio of rice plant under Pb and Cu stress on
time projection. And third, the dynamic partitioning model of root, shoot, and
leaves under exposure Pb and Cu. Using multi criteria selection including PRESS
statistic and index of agreement, the cubic model was selected to be the
appropriate model. Further research has also found allometry relations between
partitioning organ.
Leave One Out (LOO) was used for a cross validation of the model in
achieving consistency within its capability of the model. Using independent data,
the Let One In (LOI) approach was used for analyzing the behavior change of the
model. The back-casting technique was done for predicting of the data in
agreement to the current dynamic partitioning model. The three approaches were
found promising to be used in the model for assessing environmental
sustainability.
The warning of lead and copper indications are observed by the
employment of biophysical measurement. It is done using electrophysiological
methods such as by measuring electrical surface potential of leaves of
Limnocharis flava, measuring electrical conductivity and pH of soil, and
measuring and observing the growth parameter and change in leaves. The results
found that the availability of Pb and Cu on the soil could change the soil
properties and distribution of Fe on the partitioning of plant and this in return
could affect the yield. In the success of finding the capability of Limnocharis flava
in absorbing and distributing Pb through the plant’s organ partitions, and through
these techniques, we have a bridge for the phytoremediation process.
The research has made a complete effort on ensuring the dynamic
partitioning model to be applicable for agricultural benefits or as a frame for
environmental perspectives based on experiments and the power of modeling. It is
encouraged to make use of the mathematical models in the various applications
while the experiments with the collective data should be provided. In accordance
to the proposed framework a continuous work is needed on both modeling and
environmental sustainability. | en_US |
