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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.

Pakistan Journal of Agricultural Research

September

Vol.37, Iss. 3, Pages 190-319

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