Estimation Genetic Diversity by Using Cluster, D2 and Principle Component Analysis of Maize Inbred Lines (Zea mays L.)

Abstract

A field experiment carried out by using fourteens inbred lines of Maize (local line(1) , 839(2) ,C.V890(3) , Iq10001(4) , ZM4L(5), ZM51L(6) ,ZP-301(7) ,ZM19L(8) , OH(9) , UN440(10) , IK-58(11) ,IK-8(12) , SH(13) and R-153(14)) at the agricultural field of Kirkuk Agricultural directorate during 2017 Autumn season by using Randomized Completely Block Design with three replications to estimate genetic distance using cluster , D2and principal component analysis for grain yield , it’s components and qualitative traits. The Cluster analysis classified lines in to two main groups depending on the morphological marker traits. So that the largest genetic distance was between local line and C.V890 line (9547033.93) which can be utilized in hybridization for exhibiting hybrid vigor. The D2 analysis revealed that the largest distance was between the second group lines (C.V890 , Iq10001 , ZM4L , ZM51L and ZP-301) and third group lines (OH and SH).Principle components analysis explained 88% of total variances among lines , however the number of grains.ear-1 regarded the major trait which has largest contribution of the total variations followed by days to silking , no.rows.ear-1 ,grain yield and protein content.ZM19L ,OH and SH lines can be considered as a source for improving grain yield ,while local adapted line for improving ear length and other grain components also, Iq10001 line was important for improving quality traits and total digestible nutrients.