kernal
1.Some properties of Bergman Kernal Function of the Classic Domains and Its Application
2.Suwan 1 expressed higher GCA effects as 100-kernal weight, ear length, ear diameter and grain moisture.
3.The Bergman kernal functions on Cartan-Hartogs domains are obtained in explicit formulas by Yin Weiping, so we can easily prove that Y_I is a bounded pseudo-convex domain.
4.Four essential materials of maize were used to study proformances of early progenies in four characters, ear length, number of kernal rows, ear height and rate of green leaves.
5.As the kernal of ECUI framework which is being developed,DPMS provides several services for designing process management,such as tool selection,design path decision,design backtracting,consistence enforcement,and so on.
6.Morphological characters of inbred line to be developed can be forecasted by characters of ear length, number of kernal rows, ear height and rate of green leaves in the basic population.
7.Study on the combining ability of the 17 plant characters and their correlationswith ear一kernal characters on combining ability indicated that the inheritance of all theplant characters was mainly controlled by additive gene effect,some were affected by non一additive effect simultaneously,and the GCA and SCA on most plant characters were pos-itively correlated with their performance(X),but the correlations between GCA and SCAwere not significant.
8.(2) The ear-kernal structural character of high yielding hybrid corn was the mid-ear-type which had larger ear diameter, more row numbers per ear and higher weight per 1000 kernals in Henan and the big ear type of hybrid had a longer ear, more row numbers per ear and high rate of grain yieid in liaoning;
9.The results obtained in this study showed that in the Lower Yangtze Val-ley,to develop new varieties with much higher yielding potential on the basisof the current types of high-yielding varieties,the increase of the number ofgrains and 1,000-kernal weight should be effectual,and it seems more rea-sonable to take the number of grains per unit area as a criterion of selection.
