基于主成分和聚类分析的玉米种质特征研究

S. Mengistu
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引用次数: 1

摘要

在埃塞俄比亚生物多样性研究所基因库中,大量的玉米种质还没有确定彼此之间遗传变异性的大小。尽管如此,了解单个性状的贡献对于关注品种发展中的特定性状是必不可少的。因此,本试验对92份尚未鉴定的玉米材料进行了2次局部检查,以估计基因型之间的遗传多样性程度,并确定导致所观察到的差异的主要农业形态性状。该试验在2016年主要种植季节在Arsi Negele的七个区块进行了扩展设计。分析性状为开花日数、株高、穗高、单株穗数、成熟期、穗长、穗行数、千粒重和亩产。将94个基因型分为4个聚类,其中聚类I、II、III和IV分别包含30个、21个、23个和20个基因型。早熟型和矮秆型分在第4类,晚熟型分在第2类,高产型和高大型分在第1类。主成分分析表明,第1主成分(PC1)的特征值为4.4,反映了总变异的48.85%,这代表了两个个体变量的等价,权重高于其他变量的两个变量是株高和穗长。第二主成分(PC2)的本征值为1.63,占总变异的18.11%,与每株穗数(EPP)相关。主成分3 ~ 9具有一个以上的特征值,相当于一个个体变量,分别占基因型间变异的0.98%、0.78%、0.68%、0.35%、0.15%、0.03%和0%。这一结果保证了所研究的玉米基因型之间存在高度的遗传分化。
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Maize Germplasm Characterization Using Principal Component and Cluster Analysis
In Ethiopian Biodiversity Institute Gene bank, large collections of maize germplasm are not yet characterized for the magnitude of genetic variability from each other. Although, knowing the contribution of individual a character is essential to focus on particular characters in cultivar development. Hence, this experiment was conducted on 92 maize accessions which were not yet characterized and 2 local checks to estimate the magnitude of genetic diversity among the genotypes and to identify the major agro-morphological characters contributing for the observed variations. The experiment was arranged in an Augmented Design in seven blocks at Arsi Negele in the 2016 main cropping season. The characters used for analysis were days to flowering, plant height, ear height, ear per plant, days to maturity, ear length, kernel rows per ear, a thousand grain weight and yield per plot. The 94 genotypes were grouped into four clusters where cluster I, II, III, and IV comprised 30, 21, 23, and 20 genotypes, respectively. Early matured and short genotypes were grouped in cluster IV, late matured in cluster II, and high yielding and tall genotypes in cluster I. The principal component analysis indicated that the first principal component (PC1) had an eigenvalue of 4.4 and reflects 48.85% of the total variation, this represents the equivalent of two individual variables and the two variables that weighted higher than the other variables are plant height and ear length. The second principal component (PC2) was a recorded eigenvalue of 1.63 and maintained 18.11% of the total variation and related to diversity among genotypes due to ear per plant (EPP). Moreover, principal components 3 to 9 were shown to have more than one eigenvalue, thus they represent equivalent of one individual variable each accounted for 0.98%, 0.78%, 0.68%, 0.35%, 0.15%, 0.03% and 0% respectively toward the variation observed among genotypes. The result ensures the existence of high genetic divergence among the studied maize genotypes.
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