Interactive networks between plants and insect herbivores through defense chemicals in the leaves

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To examine changes of defense level and the extent in induced defense in leaves according to feeding by insect herbivores, I developed nondestructive models for estimating total phenol content in leaves with near infrared spectroscopy. I modeled relationship between absorbance spectra of Quercus serrata, Q. myrsinaefolia, and Q. glauca leaves and total phenol content by partial least squares regression, and obtained the best calibration models of each species based on the standard errors of predictions. Then I carried out feeding experiment by herbivores with Q. serrata and Q. glauca, and their models. It showed a tendency that the content of total phenols increased in the treated shoots and ones which grew on upper position of the treated ones, while this result should be examined again because of the large confidential interval in values estimated with the calibration models.