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PHENETIC AFFINITIES IN PINUS ATTENUATA LEMM. X P. RADIATA D. DON. HYBRIDS.

机译:松林的亲和力。 X P.RADIATA D.DON。杂种。

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摘要

Phenetic analysis is the use of numerous measurements of large numbers of morphological and physiological traits to arrive at a conclusion regarding taxonomic relationships and degrees of resemblance between living things. In my Master's thesis, I introduced the Affinity Index (AI), a technique for determining the relative phenetic affinities of hybrids for the parent species by means of phenetic analysis. The hypothesis of this study was that, based upon a finite array of characters, there is a difference between the phenetic affinities of hybrids, as measured by the observed AI, and the AI expected on the basis of actual percent ancestries. The basis for his hypothesis was the presumed influence of non-additive genetic effects and environmental effects upon the AI. The objective of this research was to quantify the deviation of observed AI from expected AI.; Ten specimens of Monterey pine (Pinus radiata D. Don.), ten specimens of knobcone pine (P. attenuata Lemm.), and 60 hybrids from controlled crosses were sampled in Eddy Arboretum, on the grounds of the Institute of Forest Genetics in Placerville, California, and at nearby Camino Arboretum. Data were taken on five needle, one growth, and nine cone characters. The Character State Distance (CSD), a measure of the reliability of a character for distinguishing between two species, was calculated for each character. Based upon the CSD values, an AI was calculated for each hybrid.; The difference between observed AI's and the expected AI's was too great to permit the AI to be used as an estimator of percent ancestry of hybrids, at least for he species studied. A power-of-the-test analysis indicated that a much greater number and diversity of characters, and a larger sample size within trees, would reduce this discrepancy sufficiently to allow the AI to be used for that purpose. This very large sample size is probably necessitated by non-additive genetic effects and environmental effects. If only additive genetic effects were involved, a small sample size would probably be sufficient.; The AI appears to have greater utility as a descriptive device. It was much more sensitive than, for example, Anderson's Hybrid Index to consistent phenetic tendencies on the part of certain types of crosses (F(,1) hybrids, back-crosses to P. radiata, etc.). With few exceptions, the hybrids morphologically resemble P. attenuata more than would be expected on the basis of percent ancestry. The results of a regression analysis raised the question of whether the tendency of the hybrids to resemble P. attenuata might be partially due to maternal effects.; A number of half-sib and full-sib families were included in the hybrids sampled. An analysis of variance indicated that percent ancestry has a much greater effect upon the deviation of observed AI from the expected AI than specific parentage. Inbreeding does not distort the AI. If anything, the AI is more accurate as an estimator of percent ancestry for those individuals.
机译:物候分析是对大量形态和生理特征进行的大量测量,以得出有关生物之间的分类学关系和相似程度的结论。在我的硕士学位论文中,我介绍了亲和力指数(AI),该技术用于通过表型分析确定杂种对亲本物种的相对表型亲和力。这项研究的假设是,基于有限的字符数组,通过观察到的AI测得的杂种的表观亲和力与根据实际祖先百分比预期的AI之间存在差异。他的假设的基础是非加成遗传效应和环境效应对AI的假定影响。这项研究的目的是量化观察到的AI与预期AI的偏差。在Placerville森林遗传学研究所的场地上,在Eddy Arboretum采样了十个蒙特雷松(Pinus radiata D. Don。),十个松果(P.衰减a Lemm。)和60个来自受控杂交的杂种。 ,加利福尼亚以及附近的卡米诺植物园。数据取自五个针,一个生长和九个圆锥体字符。计算每个字符的字符状态距离(CSD),该字符是区分两个物种的字符可靠性的度量。基于CSD值,为每个混合动力计算了AI。观察到的AI与预期AI之间的差异太大,以至于至少在所研究的物种中,无法将AI用作杂种祖先百分比的估算器。测试能力分析表明,字符数量更多,种类更多,并且树中的样本数量更大,将足以减少这种差异,从而可以将AI用于该目的。非累加的遗传效应和环境效应可能需要非常大的样本量。如果仅涉及累加的遗传效应,则小样本量可能就足够了。 AI似乎具有更好的描述性。它比例如安德森氏杂种指数对某些杂交类型(F(,1)杂交种,辐射辐射回交等)的一致的物候趋势敏感得多。除极少数情况外,杂种在形态学上都比衰减假单胞菌更像,超过根据祖先百分比的预期。回归分析的结果提出了这样一个问题,即杂种与减毒假单胞菌相似的趋势是否可能部分归因于母体效应。所采样的杂种中包括许多半同胞和全同胞家族。方差分析表明,相对于特定亲本,祖先百分比对观察到的AI与预期AI的偏差影响更大。近交不会使AI失真。如果有的话,人工智能可以更准确地估计这些人的血统百分比。

著录项

  • 作者

    HARRISON, CHARLES MARVIN.;

  • 作者单位

    University of Idaho.;

  • 授予单位 University of Idaho.;
  • 学科 Agriculture Forestry and Wildlife.
  • 学位 Ph.D.
  • 年度 1980
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 森林生物学;
  • 关键词

  • 入库时间 2022-08-17 11:51:40

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