Bhadmus, A.; Abberton, M.; Idehen, E.; Ekanem, U.; Paliwal, R.; Oyatomi, O. Genetic Diversity Assessment of Winged Bean [Psophocarpus tetragonolobus (L.) DC.] Accessions Using Agronomic and Seed Morphometric Traits. Crops2023, 3, 170-183.
Bhadmus, A.; Abberton, M.; Idehen, E.; Ekanem, U.; Paliwal, R.; Oyatomi, O. Genetic Diversity Assessment of Winged Bean [Psophocarpus tetragonolobus (L.) DC.] Accessions Using Agronomic and Seed Morphometric Traits. Crops 2023, 3, 170-183.
Bhadmus, A.; Abberton, M.; Idehen, E.; Ekanem, U.; Paliwal, R.; Oyatomi, O. Genetic Diversity Assessment of Winged Bean [Psophocarpus tetragonolobus (L.) DC.] Accessions Using Agronomic and Seed Morphometric Traits. Crops2023, 3, 170-183.
Bhadmus, A.; Abberton, M.; Idehen, E.; Ekanem, U.; Paliwal, R.; Oyatomi, O. Genetic Diversity Assessment of Winged Bean [Psophocarpus tetragonolobus (L.) DC.] Accessions Using Agronomic and Seed Morphometric Traits. Crops 2023, 3, 170-183.
Abstract
The winged bean is an underutilized legume that has the potential to contribute to nutrition and food security globally, especially in sub-Saharan Africa (SSA). However, very little research attention is paid to exploiting its full potential due to a lack of adequate knowledge of the existing genetic diversity in the available winged bean germplasm. To bridge this gap, seed morphometric and selected agro-morphological traits which are crucial for yield and seed quality determination in crop plants were used to assess the genetic diversity of thirty accessions of winged bean sourced from the Gene bank of the International Institute of Tropical Agriculture (IITA), Ibadan. The thirty winged accessions were evaluated under field trials at three agro-ecological zones in Nigeria. The agro-morphological data as well as the seed morphometric dataset obtained from a Multi-Spectral Imaging (MSI) system were subjected to Analysis of Variance (ANOVA), Principal Component (PC) analysis, cluster analysis, and correlation analysis. Significant differences (p < 0.05) were observed among the accessions for all measured traits. The first three PCs accounted for 93% of the variation observed among the accessions for all measured traits. Accessions were grouped into three clusters based on the agro- morphological traits and three clusters under the MSI system. Seed yield per plant had the highest estimates of significant positive correlation with hundred seed weight, pod weight per plant, etc. at both phenotypic and genotypic levels. TPt-31 had the highest seed yield per plant, pod weight per plant, and early maturity while TPt-7 had an extended flowering and maturity period, the highest number of pods per peduncle and pods per plant as well as the lowest seed yield. These accessions could serve as a good resource for future winged bean improvement programs. The result also confirmed that the MSI system is an invaluable tool for discriminating among accessions of the same crop species.
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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