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杏杂种一代群体产量形成因素的研究
引用本文:陈学森,吴燕,孙永华,刘文,梁青.杏杂种一代群体产量形成因素的研究[J].园艺学报,2006,33(3):477-480.
作者姓名:陈学森  吴燕  孙永华  刘文  梁青
作者单位:(山东农业大学果树生物学实验室, 山东泰安271018)
摘    要: 以5~6年生的‘凯特’ ב新世纪’F1 代群体52个株系为试材, 对株系的自交坐果率、有效花比率、平均单果质量及单株坐果数等性状的变异及其与单株产量的相关性进行了研究, 结果表明, ①杏自交坐果率、有效花比率、平均单果质量、单株坐果数及单株产量等性状在F1 代广泛变异, 其中单株坐果数及自交坐果率的变异系数最大, 分别为102.0%和99.5% , 说明这两个性状的选择潜力较大; ②单株坐果数、自交坐果率及有效花比率均与单株产量极显著正相关, 相关系数( r) 分别为0.945、0.541和0.439, 且自交坐果率、有效花比率与单株坐果数的相关性亦达到极显著水平, 说明自交坐果率及有效花比率均是株系产量形成的主要因素; ③平均单果质量与单株产量的相关系数虽然为负值( r = - 0.176) , 但相关性不显著, 出现这种结果主要是由于在多因素相关分析系统中, 其他因素相互影响造成的。因此, 在本试验体系中, 果实大小不是产量形成的主要因素; ④依据上述相关性的研究结果, 初步提出并讨论了丰产选择与品质选择的“二次选择法”。

关 键 词:  F1  代群体  产量形成因素  变异  相关性
文章编号:0513-353(2006)03-0477-04
收稿时间:2005-04-20
修稿时间:2005-04-202005-07-25

Research on Yield Components among Apricot Seedlings of F1 Populations
Chen Xuesen,Wu Yan,Sun Yonghua,Liu Wen,Liang Qing.Research on Yield Components among Apricot Seedlings of F1 Populations[J].Acta Horticulturae Sinica,2006,33(3):477-480.
Authors:Chen Xuesen  Wu Yan  Sun Yonghua  Liu Wen  Liang Qing
Institution:Hebei Laboratory of Medical Biotechnology, Institute of Basic Medical Science, Hebei Medical University, Shijiazhuang 050017, China
Abstract:The experiment was conducted with 5 - 6 years old 52 seedlings from‘Katy’ ב Xinshiji’combination. The correlation and variation were studied among yield per plant, number of flowers per tree, fruiting rate of self-pollination, fertile flower rate, average fruit mass and the number of fruits per tree. The results showed that, ①there were wide variations in fruiting rate of self-pollination, fertile flower rate, average fruit mass and number of fruits per tree among apricot seedlings of F1 populations, among them, variation coefficients of number of fruits per tree and fruiting rate of self-pollination were the biggest, 102.0%and 99.5% respectively, which showed that the selection potentiality of the two characters was large; ②number of fruits per tree, fruiting rate of self-pollination, fertile flower rate were most prominent positive correlation to yield per tree, correlation coefficients were 0.945, 0.541 and 0.439, respectively. Furthermore, fruiting rate of self-pollination and fertile flower rate were also most prominent positive correlation to number of fruits per tree. Then, it could be concluded that fruit setting percentage of self-pollination and fertile flower rate were the main factors to yield per plant; ③the correlation between average fruit mass and yield per tree was negative ( r =- 0.176) , but itwas not significant, and its reason was that other factors effected reciprocally in the multifactor correlation analysis system. So, in this experiment the fruit size was not the main factor to yield per plant; ④according to the above results, we advanced primarily and discussed the selection method by two-steps of fertilitye-selection and quality-selection.
Keywords:Apricot  F_1 population  Yield components  Variation  Correlations
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