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首页> 外文期刊>Advances in Horticultural Science >Preliminary studies on selection indices for activating seedling growth in mangosteen (Garcinia mangostana L.).
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Preliminary studies on selection indices for activating seedling growth in mangosteen (Garcinia mangostana L.).

机译:激活山竹(Garcinia mangostana L.)中幼苗生长的选择指标的初步研究。

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Studies on selection indices for activating seedling growth in mangosteen were conducted in the central orchard at the main campus of Kerala Agricultural University. The present investigation was undertaken with the main aim of identifying some of the basic reasons for slow growth in mangosteen, and to address this problem by developing and identifying criteria to select the age of the mother plant, fruit, seed and seedling characters or direct selection indices at all four stages with respect to seedling growth. Mother plants of four distinct age groups were used in the study. Variables were generated using all fruit, seed and seedling characters such as fruit index, seed index and seedling index by principal component analysis (PCA). Using PCA and multiple regression analysis, prediction models was fitted for the three indices. Major fruit, seed and seedling characters were identified by stepwise regression. Hierarchial analysis was performed based on Euclidean distance to find the similarities between the four age groups. Discriminant function analysis was performed and six discriminant functions were fitted with corresponding D2 values to discriminate the six pairs involving the four age groups of the mother plants. For practical purposes, selection indices and best age group of mother plants are described in the work.
机译:在喀拉拉邦农业大学主校区的中心果园中进行了激活山竹中幼苗生长的选择指标的研究。进行本研究的主要目的是确定山竹生长缓慢的一些基本原因,并通过制定和确定选择母本植物的年龄,果实,种子和幼苗特征或直接选择的标准来解决此问题。苗生长的所有四个阶段的指数。该研究使用了四个不同年龄组的母本植物。通过主成分分析(PCA),使用所有水果,种子和幼苗特征(例如水果指数,种子指数和幼苗指数)生成变量。使用PCA和多元回归分析,对三个指数拟合了预测模型。通过逐步回归确定主要的水果,种子和幼苗特征。基于欧几里得距离进行层次分析,以发现四个年龄组之间的相似性。进行判别函数分析,并将六个判别函数与相应的D 2 值进行拟合,以区分涉及母体四个年龄组的六对。出于实际目的,在工作中描述了母本植物的选择指数和最佳年龄组。

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