CONCLUSION

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CHAPTER 5. CONCLUSION

This study aimed to differentiate rice grains of 30 varieties using locality constrained SRC and study the genotype-phenotype association of rice grains. In chapter 3, the rice grains of 30 varieties were nondestructively distinguished using image analysis and SRC techniques. In the proposed approach, images of the rice grains were acquired at a resolution of approximately 95 dots per millimeter. Morphological, textural, and color traits of the grains were quantified from the high resolution images. An SRC classifier was then developed to predict the varieties of the grains using the traits as the inputs. The classifier achieved an overall accuracy of 89.1%. In chapter 4, the association between the 13 phenotypic traits and genotypic variations of the 255 varieties were studied. GLMs and MLMs were constructed for the inspection of the association. The Q-Q plots and Manhattan plots of the results of permutation test showed the potential to dissect the genetic basis of the traits.

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