Roy J K, Lakshmikumaran M S, Balyan H S, Gupta P K
Molecular Biology Laboratory, Department of Agricultural Botany, Ch. Charan Singh University, Meerut 250 004, Uttar Pradesh, India.
Biochem Genet. 2004 Feb;42(1-2):43-59. doi: 10.1023/b:bigi.0000012143.48298.71.
Data on AFLP (eight primer pairs) and 14 phenotypic traits, collected on 55 elite and exotic bread wheat genotypes, were utilized for estimations of genetic diversity. We earlier used these 55 genotypes for a similar study using SSRs and SAMPL. As many as 615 scorable AFLP bands visualized included 287 (46.6%) polymorphic bands. The phenotypic traits included yield and its component traits, as well as physiomorphological traits like flag leaf area. Dendrograms were prepared using cluster analysis based on Jaccard's similarity coefficients in case of AFLP and on squared Euclidean distances in case of phenotypic traits. PCA was conducted using AFLP data and a PCA plot was prepared, which was compared with clustering patterns in two dendrograms, one each for AFLP and phenotypic traits. The results were also compared with published results that included studies conducted elsewhere using entirely different wheat germplasm and our own SSR and SAMPL studies based on the same 55 genotypes used in the present study. It was shown that molecular markers are superior to phenotypic traits and that AFLP and SAMPL are superior to other molecular markers for estimation of genetic diversity. On the basis of AFLP analysis and keeping in view the yield performance and stability, a pair of genotypes (E3876 and E677) was recommended for hybridization in order to develop superior cultivars.
利用在55个优良和外来面包小麦基因型上收集的关于AFLP（8对引物）和14个表型性状的数据来估计遗传多样性。我们之前使用这55个基因型进行了一项类似的研究，使用的是SSR和SAMPL。总共615个可评分的AFLP条带中，有287条（46.6%）是多态性条带。表型性状包括产量及其构成性状，以及诸如旗叶面积等生理形态性状。在AFLP分析中，基于杰卡德相似系数通过聚类分析绘制树状图；在表型性状分析中，基于平方欧氏距离绘制树状图。使用AFLP数据进行主成分分析（PCA）并绘制PCA图，将其与两个树状图中的聚类模式进行比较，一个是AFLP的，另一个是表型性状的。研究结果还与已发表的结果进行了比较，这些结果包括在其他地方使用完全不同的小麦种质进行的研究，以及我们自己基于本研究中使用的相同55个基因型的SSR和SAMPL研究。结果表明，分子标记优于表型性状，并且在估计遗传多样性方面，AFLP和SAMPL优于其他分子标记。基于AFLP分析并考虑到产量表现和稳定性，推荐一对基因型（E3876和E677）进行杂交，以培育优良品种。
