Some Traits Of Rice Research

The relationship between quality characters and plant agronomic traits (PAT) of rice grain were analyzed with 78varieties of Japonica rice in the present research, and the influence accumulated temperature on rice yield and quality were researched. Also 20 varieties of hull done paraffin section thickness were measured lemma, and analysis of yield and quality relationships. The main conclusions are as follows:(1) The study found that quality indicators and level of agronomic traits associated with the largest value is alkali, followed by the rate of milled rice, brown rice rate, transparency, Heading date also affects milling quality, appearance quality, cooking quality and nutritional quality. Height of the transparency of the grain weight of the amylose content have a positive impact; grain weight and grain weight of the alkali value, negative impact on yield and quality of some of the factors significantly correlated. Improve rice quality, the attention to agronomic and quality traits according to the link between the law, combined with observations of breeding on yield traits, and thus maximize their quality and high yield of coordination.(2) Between the main characters of rice with a certain degree of inner link, the study found, improve the quality and appearance quality, ground is helpful to improve the gel consistency, but the value of negative effect on. White can effectively improve the joining lower protein content, both can synchronize improvement.Based on principal component analysis, the greatest impact on the quality of rice is the appearance of quality, followed by the milling quality and nutritional quality. Therefore, the focus should be on quality improvement to improve the quality of the appearance and milling quality, taking into account the eating and cooking quality and nutritional quality.(3) The study found that high temperature is beneficial to increase the yield and milling, appearance, eating and cooking quality, but not to increase nutritional quality.(4) Analysis of variance showed that the different varieties of palea and lemma thickness were significantly difference. Correlation analysis showed that there was significant negative between the thickness of palea and lemma and brown rice rate.There was also negative correlation between the thickness of palea and yield. Regression analysis showed that thickness of palea and lemma between the rate of brown rice optimal linear regression equation was statistically significant(y= 0.915-0.000875x2-0.000225x1). It can predict milling quality.