世界核桃品种基金模型的建立及果实品质评价

S. Biganova, Yu.I. Sukhorukikh, A. Glinushkin, E. K. Pchikhachev
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引用次数: 0

摘要

核桃(Juglans regia L.)就其有用的特性而言,对人类来说是一种特别重要的植物,在俄罗斯联邦,它可以被认为是林业和园艺最有价值的引种植物。它在世界上许多国家都有种植,而且种植面积在不断扩大。培育供食用的品种需要对其果实的质量进行选择评估。为此,在不同时期制定了适当的方法,并对培养物的现有基因库进行了评估。到目前为止,已经培育和引进了新的品种和形式,还需要对其进行评估,以便科学和实用地合理利用。对核桃品种和形态的描述往往包含所有选择性状的信息不足,这就需要开发新的模型来利用不完整的数据来评估品种基金。本研究的目的是利用不完整的数据建立缺失的选择评价模型,对世界核桃品种基金果实品质进行评价,以确定最高品质类别的品种和形态。评价采用了著名的方法和新的模型。在开发不完整数据的评价模型时,使用了对所有指标进行评价的50个品种的数据库。采用排除单项指标的方法,在其基础上计算出考虑不同特征组合的相应多元回归模型。本研究使用的软件是Stadia 8.0, Microsoft Excel。所提出的模型在R2 = 0.63 - 0.99时提供了平均误差为±0.48 - 3.72点的估计。对来自23个国家的核桃基因库进行了评估,确定了69个具有最高质量育种类别果实的代表,并编制了一份清单。在512个祖先中,有最高品质水果选择类别的占19.73%,有优质水果选择类别的占62.88%,有普通水果选择类别的占16.80%,有低品质水果选择类别和形式的占0.59%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of models and assessment of the world walnut variety fund by fruit quality
Walnut (Juglans regia L.) is a particularly significant plant for humans in terms of its useful properties and in the Russian Federation it can be attributed to the most valuable introducers for forestry and horticulture. It is grown in many countries of the world and the area of its cultivation is constantly expanding. Breeding species for food purposes requires a selection assessment of the quality of its fruits. For this, at different times, appropriate methods were developed and the existing gene pool of the culture was assessed. By now, new varieties and forms have been bred and brought, which also need to be evaluated for rational use for scientific and practical purposes. The descriptions of varieties and forms of walnut often contain insufficient information about all selected traits, which requires the development of new models to assess the variety fund using incomplete data. The purpose of the research is to develop the missing models of selection evaluation using incomplete data and evaluate the world walnut variety fund in terms of fruit quality, to identify varieties and forms of the highest quality category. The well-known methodology and new models have been used for the evaluation. When developing evaluation models for incomplete data, a database of 50 varieties evaluated for all indicators has been used. Using the method of excluding individual indicators, the corresponding multiple regression models have been calculated on its basis, taking into account a different combination of features. The licensed programs Stadia 8.0, Microsoft Excel have been used in the research. The proposed models provide an estimate with an average error of ± 0.48 – 3.72 points at R2 = 0.63 – 0.99. A promising walnut gene pool from 23 countries has been assessed, 69 representatives with fruits of the breeding category of the highest quality identified, and a list of them compiled. Of the 512 ancestors, 19.73% had the selection category of fruits of the highest quality, 62.88% of high-quality fruits, 16.80% of ordinary fruits, and 0.59% of varieties and forms of low-quality fruits.
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