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首页> 外文期刊>American Journal of BioScience >Maize Germplasm Characterization Using Principal Component and Cluster Analysis
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Maize Germplasm Characterization Using Principal Component and Cluster Analysis

机译:玉米种质表征使用主成分和集群分析

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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.
机译:在埃塞俄比亚生物多样性研究所基因库中,大集合玉米种质尚未表现为彼此的遗传变异程度。尽管知道个人的贡献是一个特征,但要关注品种发展中的特定角色至关重要。因此,该实验是在92玉米牧草上进行的,尚未表征,并进行了2个本地检查,以估计基因型之间的遗传多样性的大小,并确定有助于观察到的变异的主要农业形态特征。在2016年主要裁剪季节,在Arsi Negele的七个街区安排了该实验。用于分析的角色是开花,植物高度,耳朵高,耳朵,每植物,天数,耳长,粒子行每耳,千粒重量和百分比的每块粒度。将94个基因型分成四簇,其中分别包含30,21,23和20个基因型的聚类I,II,III和IV。早期成熟和短基因型在簇IV中进行分组,在簇II中进行晚期成熟,簇I的高产和高基因型。主要成分分析表明,第一个主要成分(PC1)具有4.4的特征值,反映48.85%总变化,这表示相当于两个单独的变量和加权高于其他变量的两个变量是植物高度和耳长。第二个主成分(PC2)是1.63的记录特征值,并维持总变异的18.11%,并且由于每株植物(EPP)引起的基因型之间的多样性有关。此外,主要组分3至9显示出具有多于一个特征值,因此它们表示一个单独的变量,每个变量分别占0.98%,0.78%,0.68%,0.35%,0.15%,0.03%和0%基因型中观察到的变异。结果确保了所研究的玉米基因型之间的高遗传分歧。

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