Analysis of a Mini Core of Sesame (Sesamum indicum L.) Accessions Based on Seed Morphometric Data

Abstract

Seed morphometric parameters (seed area, length, diameter, circumference, roundness and aspect ratio) of 15 accessions were analysed. Measurements on seeds were taken with help of a Computer-Camera system. Variation among accessions and genetic relationships were estimated. Great variability was observed for all parameters studied. High positive or negative correlation (r=0.726-0.963) was showed by Pearson's correlation analysis for the seed metric data of the 15 accessions. The cluster analysis revealed that the 15 accessions could be grouped into three to five clusters according to the methods (Single or Complete Linkage) used. The principal components analysis showed that the first two components accounted for 99.3% of the variability. Morphometric characterization of seeds is rapid, reproducible, reliable and cost effective. This technique of digital imaging is strongly recommended for researchers from developing country like Benin, because of its efficiency.

Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI

“…However, there has not been any effort in introducing and disseminating top performing and market preferred sesame varieties in Benin yet. The few research conducted on the crop to date focused on socio-economic incidences analysis and genetic diversity analysis of the crop [ 9 , 11 , 12 ]. The extension of sesame production into various agroecological zones in Benin can help boost its production.…”