Genetic Variation and Correlation of Kernel Quality Characters and Determination Means of Near-infrared Reflectance Spectroscopy(NIRS) in Normal Maize (Zea Mays L.)
|School||China Agricultural University|
|Course||Crop Genetics and Breeding|
|Keywords||Normal corn Grain Quality Hereditary Near-infrared Recurrent Selection|
Corn is an important cereal crop in the country and the world, is an important source of raw materials in feed processing industry. Enhance or improve nutrition, processing, consumption and other grain quality traits, increase the value of the use of corn in the food, feed and processing industry, and is conducive to the promotion of the corn into value-added industrial development, increase farmers' income, on the development of animal husbandry. industry, the corn processing industry and high-quality and efficient agricultural significance. Modern near-infrared (NIR) spectroscopy technology, only the analysis of fast, non-destructive, non-polluting, low consumption, can realize the advantages of multi-component indicators analysis and remote online analysis, research analysis and genetic measuring grain quality improved theoretical significance and application value. The purpose of this study: (1) the limitations of the NIR model has been established for this laboratory to improve near-infrared analysis model of the complete mixed grain corn quality content, and the establishment of a complete single seed oil content corn near infrared model, for maize quality analysis and improvement Service. (2) the average annual acreage hybrids inbred lines a total of 74 copies of the material, genetic variation of quality traits improved model evaluation and correlation analysis. SSR molecular markers in accordance with the laboratory division of heterotic groups results, the evaluation of the quality of China's five major heterotic groups analyze and Lee. (3) the use of the model has been established to carry out high-starch corn population improvement, evaluation HS-1 groups starch content recurrent selection effect. The main findings are as follows: 1 of 74 ordinary the corn commonly used inbred lines two years average crude protein, crude starch and crude fat content were 12.15%, 66.19%, 3.28%; range of 9.62% -14.66%, 62.34 % -70.67% ,1.83-4 .77%. Correlation analysis showed that the corn starch and protein is a very significant negative correlation, starch and oil negatively correlated, but not significantly. Protein and oil basically positive correlation is not significant. Relatively high protein content from 330 heterotic groups, 12.71%; warm group Ⅰ oil content, embryo oil content and grain bulk density higher, at 3.69%, 45.49% and 1.24g/ml; starch content of 50 grain weight 50 volumes, 50 embryo weight and endosperm are higher RYD group performance were 66.75% the 12.98 g, 11.10ml, 1.05 g, 11.16 g. Two heterotic groups Tangsipingtou, Lancaster, protein, oil and starch content of 12.32%, 12.20%; 3.08%, 3.33%: 66.51%, and 65.02%, respectively. . Study with near-infrared diffuse reflectance spectroscopy using chemometric methods, the laboratory has established a complete mixed grain model to optimize optimized protein prediction coefficient of determination of 0.9559, and forecast root mean square error of about 0.304; oil prediction coefficient of determination of 0.9359, forecast root mean square error of about 0.42; the starch predict the coefficient of determination of 0.887, forecast RMSE about 0.95; optimization model, the quality and content distribution broader and more uniform, to make the model better predictability. The establishment of a complete single grain of corn oil prediction equation the measurement prediction coefficient of determination of 0.9667, and forecast root mean square error of about 0.429, breeders need to meet. 3 HS-1 group selection, the near-infrared high starch and NMR single grain low oil high starch selection method. Selected by the two starch content increased by 68.15 percent of the base population is 69.27%, choose the response of 1.12%, the actual gain of 1.64%, 0.82% on average per round. Described groups of HS-1 is effective to improve the starch content of choice by using near-infrared and NMR techniques.