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Study on Variation and Plus Tree Selection of Staphylea Bumalda DC and Elaeagnus Mollis Diels

Author: ZhaoHan
Tutor: ZhangHuaXinï¼›LiuTao
School: Chinese Academy of Forestry
Course: Tree Genetics and Breeding
Keywords: The province Put oil Samara oil Genetic variation Analysis of Variance Cluster analysis Plus tree selection
CLC: S794.9
Type: Master's thesis
Year: 2009
Downloads: 87
Quote: 0
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Abstract


Province Put oil (Staphylea bumalda DC) and Samara oil (Elaeagnus mollis Diels) is the origin of rare and fine woody oil trees. Through the three kinds of sources of Anhui Shitai, Dawu, Hubei, Henan Tongbai province Put oil plantation and of Shanxi Pinglu three town the Township Ningxi Pozhen, cliff town, of Yicheng Oasis town four samara the oil natural forests points to investigate, analyze the province Put oil and Samara oil flowering and fruiting habits, phenotypic variation and correlation between each trait selected provincial Put oil and the samara oil plus trees. The main conclusions are as follows: 1. Province Put oil flowering number between 20 to 100 fruit number between 6 to 20, the fruiting rate of approximately 22.5%. The Shitai put oil in the flower buds proportion average of 88.3% up to 100%, some plants flower buds proportion. Province Put oil the flowering order for first after the lower part of the upper part of the bore, nutrition better conditions in the first external parts of the first open. Flowering process by weather changes greater impact. Number of Samara oil inflorescence flowering generally between 12 to 27 per inflorescence with students 18.4 flowers. Each inflorescence 6 to 15 students drupe fruit set rate is about 40%. 2. Province Put oil seed trait variation range total number of infructescence, the coefficient of variation of 50.5%, the smallest fruit width, the coefficient of variation of 10.4%. Growth trait variation range is the crown, the coefficient of variation of 49.5% variation smallest tree height, the coefficient of variation of 14.3%. Province put oil fruit type differences between provenances and provenances are highly significant. Province Put oil seed kernel weight and fruit fruit length in different years stability of a strong and long, fruit-based, fruit width and fruit thickness in different years, the stability of somewhat less vulnerable to the impact of nutritional status and environmental conditions. 3 roughly the same sort of traits province Put oil production in the importance of the unit area infructescence number ranked first, to every fruit seeds and fruit number per infructescence different sorting methods alternately occupy the second and third, followed by seed kernel weight, and then the new branch length. Crown width of Samara oil, ground diameter, branch height, crown height result the number of traits such as the coefficient of variation of 50%??, When shoot length coefficient of variation and 2a born in more than 40%. Fruit weight, seed weight, seed kernel weight coefficients of variation were 21.1%, 21.9%, 23.2%, smaller fruit out the kinds of rate changes, the coefficient of variation of 6.7%, fruit shelling percentage and seed kernel rate variability amplitudes were 19.6% and 19.1%, respectively. Variation range of fruit type is more consistent, most of the coefficient of variation ranged from 9.5% to 12.6%. Samara oil growth and seed traits between different provenances branch height, seed kernel rate, fruit width and seed width no significant differences in other traits the differences were highly significant. From the variance components, the variance of the individual traits are: the variance component gt monoclonal between provenances; provenances. 6 of Samara oil trait of the importance of fruit yield, respectively, for the unit crown width area infructescence number gt; number of results on each infructescence gt; fruit weight gt; results sticks ratio. Significant impact on fruit kernel rate is the main factor Ren weight and seed coat weight. Fruit type indicators by cluster analysis Samara oil into three types, different types of fruit type indicators Samara oil discriminant analysis, discriminant function create different types of back-generation discrimination, the right rate of 98.4%. By standard deviation, the small standard method and the advantages of wood contrast the Henan tongbai, Hubei Dawu and Anhui Shitai plantations Plus tree selection. Plus trees were selected out of the province Put oil 25. The the plus trees average yield of 193.7kg / acre, the highest yield of 363.5kg / mu choose from plus trees per unit area infructescence 66.6% increase compared with the population means, the capsules each infructescence increase 16.6 %, a 90.2% increase in seeds per mu. Use the dominant trees contrast, in Shanxi Pinglu, Xiangning and yicheng Plus tree selection. Samara oil plus trees were selected by 34. The plus trees average yield of 437.3 kg / acre, the highest yield of 833.4kg / acre, compared with the general population, the primaries plus trees unit crown infructescence number each infructescence fruit number and fruit yield increased by 27.4% , 19.7% and 29.1%, respectively.

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CLC: > Agricultural Sciences > Forestry > Forest tree species > Special use of broad-leaved class > Other
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