Discrimination of maize (Zea maysL.) inbreds for morphophysiological and yield traits byD2 statistics and principal component analysis (PCA)

Abstract

To discriminate maize inbred lines based on morpho-physiological and yield traits using D 2 statistics and principal component analysis (PCA), fifty five genotypes available at Department of Genetics and Plant breeding, Sam Higginbottom Institute of Agriculture Science and Technology, Allahabad were tested during Rabi 2013-14 under irrigation condition in Randomized Block Design with three replications. Analysis of variance revealed significant differences for 18 characters studied among the genotypes. The D 2 statistics displayed that cluster I, being largest group, comprises 37 maize genotypes followed by cluster II (13), III (3), IV (1) and V (1). The maximum intra-cluster distance was obtained for cluster I (624.35) while cluster IV and V showed Null values for it indicating homogeneous nature of the genotypes within the cluster. Further more, maximum inter-cluster distance was recorded between cluster IV and V (22331.82) followed by clusters III and V (15174.83) and clusters II and IV 14480.99). D 2 statistics and principal component analysis (PCA) emphasized that days to 50 per cent tasseling, silking and maturity, anthesis-silking interval, seed fill duration, cob weight, 100 seed weight and grain yield/plant were major contributing traits for total genetic diversity. Research results indicated that the inbreds under study are highly diversified and hence, high heterotic hybrids would be resulted through the crossing of diverse lines clubbed under different clusters as parent in any breeding programme aimed to enhance grain yield.

Genetic Studies for Yield Components and Screening for Drought Tolerance at Seedling Stage of Maize (Zea mays L.) Genotypes

“…It also had negative non-significant correlation with days to fifty per cent tasseling (-0.146, -0.056), days to fifty per cent silking (-0.070, -0.045), anthesis to silking interval (-0.194, -0.185) and cob length (-0.014, -0.014) at both genotypic and phenotypic levels, respectively. These results are in consonance with Pavan et al, [8]; Bhusal et al, [9].…”

Assessment of genetic variability among accessions of okra (Abelmoschus esculentus L. Moench)

“…A detailed understanding of the magnitude and pattern of genetic variability is required for the improvement of any crop. Plant breeders have thus employed several multivariate techniques including Metroglyph and Principal Component Analyses (PCA) to profi le the variability within the germplasm of diff erent crops (Aremu, 2011;Nwangburuka et al, 2011;Osarawu et al, 2013). Anderson (1960) proposed Metroglyph analysis, a technique that reveals patterns of morphological variation in crop species by reducing the complex interrelationship among accessions into a pictorial scatter…”