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With the escalating persuasion of economic and nutritional importance of rice grain protein and nutritional components of rice bran (RB), NIRS can be an effective tool for high throughput screening in rice breeding programme. Optimization of NIRS is prerequisite for accurate prediction of grain quality parameters. In the present study, 173 brown rice (BR) and 86 RB samples with a wide range of values were used to compare the calibration models generated by different chemometrics for grain protein (GPC) and amylose content (AC) of BR and proximate compositions (protein, crude oil, moisture, ash and fiber content) of RB. Various modified partial least square (mPLSs) models corresponding with the best mathematical treatments were identified for all components. Another set of 29 genotypes derived from the breeding programme were employed for the external validation of these calibration models. High accuracy of all these calibration and prediction models was ensured through pair t-test and correlation regression analysis between reference and predicted values.
This article was published in the following journal.
Name: Food chemistry
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To assess growth of children (enrolled between 11.5 and 13.5 months) fed with two iso-energetic, young-child formulas with different protein content during the second year of life
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An autosomal dominant disorder of tooth development characterized by opalescent dentin resulting in discoloration of the teeth, ranging from dusky blue to brownish. The dentin is poorly formed with an abnormally low mineral content; the pulp canal is obliterated, but the enamel is normal. The teeth usually wear down rapidly, leaving short, brown stumps. (Dorland, 27th ed)
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
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