Skip to content
Open access

Agro-Morphological Characterization of Maize (Zea Mays) Accessions in Lamjung, Nepal

Sep 2026 · AGRIVITA Journal of Agricultural Science · Vol 48 · 0 citations

Abstract

Agro-morphological characterization of maize is a preliminary tool for identifying genetic diversity and documenting morphological differences. The study aimed to characterize and determine the genetic diversity of 20 local accessions based on 21 qualitative and 10 quantitative traits. The experiment was conducted in a greenhouse at Lamjung Campus, using a complete randomized design with four replications. The frequency distribution for the qualitative traits highlighted high variability in silk and brace root anthocyanin coloration, kernel color, kernel row arrangement, uppermost ear shape, and kernel surface shape. Shannon-Weiner diversity index (H’) indicated the maximum diversity in kernel color (1.52) and the lowest diversity in stem color (0.46). Chi-square test showed that 5 qualitative traits exhibited significant variation: shape of the uppermost ear (14.8 **), stem color (9.8**), stay green (5*), tassel type (5*) and kernel color (11.2 *). These traits with significant variation are more under genetic control, serving as important phenotypic markers for distinguishing maize accessions and have potential for use in breeding programs. UPGMA clustering grouped accessions into four clusters based on quantitative traits with cluster II showing superiority. The significant variation among the maize confirms vast genetic diversity, emphasizing the usefulness of local collection in maize breeding program. 

Read PDF

Similar papers

2026

Diversity Analysis of Sweet Corn (Zea mays L. var. Saccharata) genotypes based on morphological characters

In the present study 35 sweet corn genotypes with 4 checks were evaluated for diversity analysis on the basis of 12 morphological characters viz. days to 50% tasseling, days to 50% silking, plant height, ear height, number of cobs plant-1, cob length, kernel rows cob–1, kernels row-1, 100 seed weight, green fodder yiel...

A. Gull, A. Lone, F. A. Lone et al. · 0 citations
Open access Sep 2026

Variability Studies on Qualitative and Quantitative Traits in Solanum lycopersicum (Tomato)

Tomato (Solanum lycopersicum L.) is one of the most economically important vegetable crops worldwide, with a wide array of genetic diversity in morphological traits. Understanding this diversity is crucial for breeding programs aimed at developing improved varieties with desirable traits. The present investigation was...

V. I. Ajie · 0 citations
Open access Oct 2026

Genetic and biochemical traits diversity in germplasm of Indian Himalayan radish (Raphanus sativus L.)

This study evaluated 67 radish genotypes over two consecutive years (2021–22 and 2022–23) to assess genetic variability for important morphological, yield, and biochemical traits and to identify responsive genotypes for crop improvement. Pooled analysis of variance revealed highly significant differences for root lengt...

Rahul Dev, N. Hedau, S. Santhiya et al. · 0 citations
Open access Sep 2026

Diversity assessment and farmer participatory selection of proso millet (Panicum miliaceum L.) accessions in Lamjung, Nepal

Assessment of genetic diversity is fundamental for crop improvement programs, as it helps to identify desirable traits and broaden the genetic base. Thus, research was carried out in augmented rod row design to assess phenotypic diversity and variation among 16 proso millet accessions at Sundarbazar, Lamjung, during ra...

B. Kandel, Anup Regmi, Sujan Chapagain et al. · 0 citations
Open access Sep 2026

Morphological Characterization and Character Association Studies in Sunflower (Helianthus annuus L.)

Sunflower (Helianthus annuus L.) is an important oilseed crop, and the identification of genetically diverse and superior germplasm is essential for its improvement. The present investigation was undertaken to evaluate genetic variability, characterise sunflower germplasm using Distinctness, Uniformity and Stability (D...

R. Chinmay, S. P. Pole, M. V. Dhuppe et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.