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Study of red clover wild populations from the territory of Serbia for the purpose of pre-selection

机译:以预选为目的对来自塞尔维亚境内的红三叶草野生种群进行研究

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The aim of this paper was to evaluate the agronomic value of red clover (Trifolium pratense L.) wild populations. The analyzed material was gathered on the territory of Serbia and it was estimated which populations could be involved in the breeding program. 17 red clover populations were included in the research. Investigation was carried out at the experimental field of the Institute for forage crops, Kru?evac, Serbia. The field trial was performed during three years (2008 - 2010) when data about morphological (green mass, dry mater, plant height, number of stems, number of lateral branches, number of internodes, length and width of a middle leaf lamina) and basic chemical parameters (quantity of crude proteins, crude fiber, ash, fat, NFE) were collected. In this paper, results of the research were processed by application of analysis of variance (ANOVA) and multivariation methods. Cluster analysis based on morphological traits resulted in formation of three clusters and the traits with the largest influence on grouping were: green mass, plant height, length and width of a leaf. Principal component method confirmed this separation and resulted in even more clear grouping of populations. Cluster analysis and PCA method were also applied to the traits of dry matter quality, when four clusters were formed, and the traits with the largest influence on grouping were percentages of protein, fat and fiber. Using both set of traits and several types of analyses contribute to grouping of populations which promise most and whose positive traits such as: high green mass yield, number of stems as well as the percentage of proteins can be combined for the purpose of getting synthetic varieties. [Projekat Ministarstva nauke Republike Srbije, br. TR31057]
机译:本文的目的是评估红三叶草(Trifolium pratense L.)野生种群的农艺价值。分析的材料收集在塞尔维亚境内,并估计哪些种群可能参与育种计划。该研究包括17个红三叶草种群。调查是在塞尔维亚Kru?evac的饲料作物研究所的实验场进行的。在三年(2008年至2010年)期间进行了田间试验,当时有关形态学的数据(绿色质量,干母,植物高度,茎数,侧枝数,节间数,中叶叶片的长度和宽度)和收集基本化学参数(粗蛋白,粗纤维,灰分,脂肪,NFE的数量)。本文采用方差分析(ANOVA)和多元分析方法对研究结果进行处理。基于形态性状的聚类分析导致形成三个聚类,并且对分组影响最大的性状为:绿色质量,植物高度,叶片的长度和宽度。主成分法证实了这种分离,并导致更清晰的人群分组。聚类分析和PCA方法也适用于形成四个聚类的干物质品质性状,对分组影响最大的性状是蛋白质,脂肪和纤维的百分比。使用这组特征和几种类型的分析有助于对最有前途的种群进行分组,这些种群的积极特征例如:绿色高产,茎的数量以及蛋白质的百分比可以结合起来以获得合成品种。 [Projekat Ministarstva nauke Republike Srbije,br。 TR31057]

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