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Multtvariate diversity of Polish winter triticale cultivars for spike and other traits

机译:波兰冬季小黑麦品种的穗型和其他性状的多样性

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The objective of the present study was to determine the extent and pattern of genotypic diversity for six spike quantitative characters and two other traits in 36 winter triticale cultivars released in Poland, to classify the cultivars into similarity groups (clusters) and to identify those traits, among the studied ones, which mostly discriminated distinguished groups of cultivars. The 36 cultivars, released in the period from 1982 to 1999, were evaluated across three years 2002-2004 at the Experimental Field Station in Czes?awice near Na??czów, Poland. The experiments were carried out on the brown soil with loess subsoil. In each year the one-replicated experimental design was used with 2 m2 plots, rows 20 cm apart, and dense sowing using about 2 cm spacing of seeds. Analyses of variance for each trait data according to the random model (both cultivars and years were assumed to be random factors) were done. To classify and characterize genotypic diversity of the cultivars for the eight traits, the pattern analysis was used. It involved both cluster analysis using Ward's procedure with a measure of the multivariate similarity among cultivars being Squared Euclidean Distance and canonical variate analysis (CVA) on the basis of cultivar BLUPs for the original traits. Quite different groups of cultivars for the studied traits were found, specially one group was substantially distanced to the others. As it was shown by CVA, spike length and number of spikelets per spike as negatively correlated with number of grains per spikelet in the studied set of the cultivars relatively largest contributed to overall differentiation of the distinguished eight groups and then, these traits best discriminated among the eight cultivar groups in the term of Mahalanobis distance for the considered traits. The 1000 grain weight and grain protein content much less contributed to overall discrimination of the cultivar groups than the previous four traits. The most important agronomic traits characterizing productivity of the spike grain weight and its two components, e.g. number of grains per spikelet and number of grains per spike had least discriminating power for the groups of cultivars. Grain yield per unit area of cereals is a result of spike grain yield and the number of spikes per unit area. In these studies of winter triticale cultivar diversity only grain spike yield and its components were included. Thus, the presented study are a primary evaluating of phenotypic diversity in the cultivars. The further study on the cultivar diversity evaluation for grain yield per unit area and its components is necessary.
机译:本研究的目的是确定在波兰发布的36个冬季小黑麦品种的六个穗定量特征和另外两个性状的基因型多样性程度和模式,将其分类为相似组(群)并鉴定这些性状,在所研究的品种中,大多数区别了优良品种。在1982年至1999年期间释放的36个品种,在2002年至2004年的三年中,在波兰Na?czów附近的Czes?awice的实验野外站进行了评估。实验是在带有黄土底土的棕色土壤上进行的。每年使用一次重复的实验设计,使用2 m 2 地块,相隔20 cm的行,并使用约2 cm的种子间距进行密集播种。根据随机模型(假定品种和年份均为随机因素)对每种性状数据进行方差分析。为了对八个性状品种的基因型多样性进行分类和表征,使用了模式分析。它涉及使用Ward's程序进行聚类分析(以平方欧几里德距离衡量品种之间的多元相似性)和基于品种BLUPs原始性状的规范变量分析(CVA)。发现了用于研究性状的不同品种的品种,特别是一组与其他品种之间的距离较远。正如CVA所表明的那样,在相对最大的研究品种中,穗长和每个穗的小穗数量与每个穗的籽粒数量呈负相关,这有助于区分八组,然后在这些特性之间最好地加以区分。在马氏距离范围内,考虑到的性状分为八个品种组。与前四个性状相比,千粒重和谷物蛋白质含量对品种组的总体判别作用要小得多。最重要的农艺性状表征了穗粒重及其两个成分的生产力,例如每个小穗粒数和每个穗粒数对品种组的鉴别力最低。谷物每单位面积的谷物产量是穗状谷物产量和单位面积穗状数量的结果。在这些关于冬季黑小麦品种多样性的研究中,仅包括穗粒产量及其组成。因此,本研究是对栽培品种表型多样性的初步评估。有必要对品种多样性评估单位面积及其组成的籽粒产量进行研究。

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