Principal Component and Cluster Analyses as Tools in the Assessment of Genetic Diversity for Late Season Cauliflower Genotypes
Saba Aleem1*, Mehvish Tahir2, Iram Sharif3, Muqadas Aleem4, Muhammad Najeebullah2, Ali Nawaz1, Amina Batool1, Muhammad Imran Khan1 and Waheed Arshad1
1Barani Agricultural Research Station, Fatehjang, Pakistan; 2Vegetable Research Institute, Ayub Agricultural Research Institute, Faisalabad, Pakistan; 3Cotton Research Station, Ayub Agricultural Research Institute, Faisalabad, Pakistan; 4National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Nanjing Agricultural University, Nanjing 210095, China.
*Correspondence | Saba Aleem, Barani Agricultural Research Station, Fatehjang, Pakistan; Email:
[email protected]
Figure 1:
Scree plot presenting PCs with their cumulative variability.
Figure 2:
Biplot among first two PCs representing genetic diversity.
Figure 3:
UPGMA dendogram based on Euclidean distance matrix constructed from 19 phenotypic traits data of 19 cauliflower genotypes.