Estimation of genetic divergence and its application in breeding strategy may result in improved and viable production. A total of 6 agro-morphological traits were analysed in 77 wheat genotypes from different geographical regions of Pakistan starting from 1934 to 2016. Data were analysed for correlation, agglomerative hierarchical clustering and principal component analysis. Grain yield (kg per hectare) had significantly positive correlation with grains per spike. The PC-I revealed positive factor loadings for entire traits. The contribution of spike length was maximum in PC-I. Cluster analysis clustered entire varieties into five different groups. The D² statistics proved maximum distance between cluster-II and IV, whereas the highest resemblance was found in cluster-III and cluster-V. It is therefore suggested that crosses between genotypes of cluster-II and V can be used to classify germplasm which provides viable basis for choosing base material to design imminent breeding approaches for yield improvement.

遗传差异的估计及其在育种策略中的应用可能会导致改进和可行的生产。从1934年到2016年，对来自巴基斯坦不同地理区域的77个小麦基因型共分析了6个农业形态性状。对数据进行了相关性分析、凝聚层次聚类分析和主成分分析。粮食产量（公斤/公顷）与每穗粒数呈显着正相关。PC-I 揭示了整个性状的正因子载荷。在 PC-I 中，穗长的贡献最大。聚类分析将整个品种分为五个不同的组。D ² _统计证明cluster-II和cluster IV之间的距离最大，而cluster-III和cluster-V的相似度最高。因此，建议使用cluster-II和V基因型之间的杂交对种质进行分类，这为选择基础材料以设计即将提高产量的育种方法提供了可行的基础。