DYNAMIC PARTITIONING MODEL OF PLANT GROWTH UNDER VARYING EXPOSURES OF LEAD (Pb) AND COPPER (Cu) - A STEP TO ENVIRONMENTAL SUSTAINABILITY

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.