Hafiz Muhammad Imran Umar, Shoaib-Ur-Rehman, Muhammad Bilal, Syed Atif Hasan Naqvi, Syed Amir Manzoor, Abdul Ghafoor, Muhammad Khalid, Muhammad Tayyab Iqbal, Abdul Qayyum, Farah Ahmad, Malik Ahsan Irshad
Department of Plant Breeding and Genetics, FAST, Bahauddin Zakariya University Multan, Pakistan.
Department of Plant Pathology, FAST, Bahauddin Zakariya University Multan, Pakistan
Department of Forestry, FAST, Bahauddin Zakariya University Multan, Pakistan
Institute of Agri Biotechnology and Genetic Resources, NARC, Islamabad, Pakistan
Department of Biotechnology, Islamia University Bahawalpur, Pakistan
Key words: Genetic diversity, Accessions, PCA, Pisum sativum, Traits.
The genetic diversity in 128 exotic pea accessions from diverse origin was determined for four qualitative traits flower color (FC), testa color (TC), cotyledon color (CC) and pod shape (PS) and eleven quantitative attributes i.e., plant height (PH), total pod number (TPN), number of pods per plant (NOPPP), total pod weight (TPW), pod weight per plant (PEPP), average pod length (APL), average pod width (APW), average pod thickness (APT), seed weight (SW), seed weight per plant (SWPP) and seed index (SI) through statistical software using a nonhierarchical, PCA. The projection of attributes on PC1 and PC2 revealed that average pod thickness, average pod length and average pod width are positively correlated to weight per pod. The projection pattern of the attributes on first two PCs depicted that key pod weight contributing attributes were pod thickness, length and width while the cotyledon color was opposite to weight per pod and other yield contributing traits on PC1, therefore, it had negative correlation with all other traits. The projection of accessions on first two PCs was useful to identify diverse groups of parents for better transgressive segregation. Promising accessions showing the variation in the desired parameters can be utilized in the future breeding programs.
Get the original articles in Source: Volume 7, Number 2, August 2015 – IJAAR
Published By: International Network for Natural Sciences