Indica hybrid rice seed Factor analysis _1006

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Indica hybrid rice seed traits of the factor analysis

5.99% of the top 5 common factors, obtained by oblique reference factor pattern matrix (see Table 3) and oblique reference to factor correlation matrix (see Table 4). Table 3 Factor Pattern Matrix oblique reference to Tab. 3FaVorpaUe ~ matrixofpmmaxroa6On reference factor pattern matrix of bias, the first a common factor for the weight factor, the contribution rate of 29.94%, the largest factor loading values of grain weight, and grain thickness, grain length is closely related to and sign the same, that the increase in grain weight is mainly grain and grain thickness and length increased; and panicle also have a larger factor loading value of opposite sign, indicating that grain weight and grains have some role in growth and decline. 2 is a common factor roughness, the contribution rate of 27.71%, the roughness factor with the maximum load value, followed by milled rice rate, the two oblique reference to Table 4, factor correlation matrix Tab. 4FaVorcollationmatrix0fprO Yo xro ~ on the same sign, indicating that the roughness of milled rice rate only has a large role in promoting. 3 common factor for the chalky grain rate, the contribution rate of 13.94%, chalky grain rate and chalkiness greater factor loading values, both sign the same, obviously, chalky grain rate increase will lead to Chalkiness increased. 4 common factor for the green rice rate factor,[link widoczny dla zalogowanych], the contribution ratio of 7.68%, green rice perfect rice percentage rate and very close relationship, to a certain extent, affected seed set. 5 factor of milled rice rate factor, the contribution rate of 5.73%, milled rice rate and the maximum rate of crack loading factor m value, opposite sign, indicating that the increased rate of milled rice is closely related with the reduced rate of crack meters, also with the amount of reduce the length / width ratio to a certain extent. Oblique reference to factor correlation matrix from the known, chalky grain rate and Green-meter rate factor and the weight factor and green rice rate factors have more of Zhanjiang Ocean University 72 Volume 22, positive correlation; the weight factor and head milled rice factor,[link widoczny dla zalogowanych], a roughness factor and green rice rate factors are negatively correlated. 3 Conclusion and discussion Indica Hybrid Rice Breeding, in the current production level, as soon as possible to improve quality. Factor analysis showed that the coordination from the grain yield and quality traits on the relationship between the weight factor is crucial. This is the greatest contribution to the weight factor, and with the green rice rate and head rice rate factors have a greater correlation between factors. Therefore, matching excellent combination of strong indica hybrid rice grain weight factor can be important as a comprehensive reference for selection. In fact, in breeding high-yield, high-quality early indica hybrid combinations in the process, select the moderate grain weight, grain number get larger, such as the combination tested in this study, there l4 combinations of grain weight to 2l24g ,[link widoczny dla zalogowanych], of which l0 combinations of grain number of 160 or more, is conducive to high yields; but also effectively reduce the chalky grain rate and chalkiness,[link widoczny dla zalogowanych], milled rice rate of increase, such as in grain weight is 24g 2l a portfolio of 14 , 52% milled rice has more than 6 months. Grain weight is too large, easy-to-obtain and difficult to improve the quality of high yield; grain weight is too small, easy-to improve the quality and difficult to obtain high yield. According to The results showed that the chalkiness, crack rice and green rice rate and coefficient of variation greater selection of these traits to improve the quality of indica hybrid rice is feasible.