Skip to content
Research Article Open access CC BY 4.0

Morphological Characterization and Genetic Diversity Analyses of Yield and Yield Attributing Traits in Sweet Corn (Zea mays var. saccharata)

Rajasekar, Ajay Kumar, Akilan M, Nirmalaruban R

Journal of Scientific Research and Reports · pp. 635–646 · Published 2 Jul 2024

10.9734/jsrr/2024/v30i72177

Abstract

The genetic diversity among the genotypes were useful resources that enabled breeders to comprehend the performance of attributes or genotypes. This understanding is crucial in selecting appropriate genotypes or traits for hybridization programmes. A total of 15 sweet corn genotypes were utilized to assess the characteristics of genetic diversity, correlation, path coefficient and genetic divergence study. The phenotypic coefficient of variation (PCV) exceeded the genotypic coefficient of variation (GCV) for all the traits examined, suggesting certain degree of interaction with the environment. The heritability estimates for all variables examined in this study were found to be high. The genetic advance as per cent of mean (GAM) identified a significant difference between high and low values. The traits ear weight with husk, ear weight without husk, husk ratio, chlorophyll content, ear length, ear girth, number of rows per ear, number of kernels per row, 100 kernel weight, shelling percentage, cob yield per plot and fodder yield per plot exhibited high heritability and high GAM. Furthermore, the correlation analysis revealed a significant and positive association for the aforementioned attributes. Additionally, the path coefficient analysis for these traits indicated a favourable direct influence. A total of 15 genotypes were categorized into seven clusters based on their genetic distance. The features that made the biggest contribution to divergence were fodder yield per plot (21%) and shelling percentage (21%), followed by ear weight (14%) and cob yield per plot (10%). The results of this study would be valuable for identifying the desirable characteristics and genetic makeup that can be used in future breeding programmes aimed at enhancing the production of corn cobs in sweet corn.

Genetic variability diversity correlation path coefficient and clustering sweet corn

Cited by 1

Classification of maize inbred lines into heterotic groups based on yield and yield attributing traits

Anshika Bhatla, Srushtideep Angidi, Noel Thomas · Plant Genetic Resources: Characterization and Utilization · 2024

Article metrics

Real usage data collected on this platform.

5

Page views

0

PDF downloads

0

Outbound clicks

1

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.