Near-infrared Model Establishment For Corn Starch And Amylase Contents And Application In Corn Breeding

The starch quality and quantity need to be kept under consideration in corn breeding as in its use in China has increased too much recently. Although, many conventional techniques are available determine the biochemical parameters of grain but they are time consuming and laborious. NIR spectroscopy provides the solution by rapidly calculating the starch contents without the degradation of sample or the use of any chemical. It helps accelerate the breeding process by rapidly and accurately scanning and selecting the better varieties. This research was carried out with 110 samples of maize for NIRS calibration and 10 samples for validation. They were processed by chemical method with polarimeter for starch and spectrophotometer for amylose followed by NIRS. Minimum value of NIR method is 66 while 45.9837 is of chemical method. Here the difference is because the possibility of human error, and wastage of residual in the chemical process. While Maximum values are 78.01 and 72.1239 of NIR and chemical method respectively. Where mean of NIR and Chemical method are 2.5160 and 5.8878 respectively. For the calibration the library were designed by putting the values of 110 unknown sample of Amylose from chemical method. Then for the validation of library 10 known sample were checked and value were found accurate. Value of Amylose and Branch starch were found Minimum is 17% and 50%, Maximum is 50%and 83% While Average is 0.314 and 0.686.