2026· Journal of Advanced Agricultural Technologies· Vol 13, pp. 11-17· 0 citations· 34 references
Abstract
Low productivity in soybean (Glycine max L. Merrill) across Nigerian farming systems remains a persistent challenge, driven in part by the limited use of genetically diverse and locally adapted cultivars. This study evaluated the expression of yield-related traits among ten soybean accessions obtained from the International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria, to identify superior genotypes and inform selection strategies for yield improvement. The experiment was conducted in a Randomized Complete Block Design (RCBD) with three replications at the research farm of Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria. Data were collected on nine quantitative traits: plant height, number of main branches, days to first flowering, days to maturity, pod length, pods per plant, seeds per pod, 100-seed weight, number of seeds per plant, and seed yield per plant. Analysis of variance revealed significant genotypic effects (p ≤ 0.05) for most traits, except for the number of main branches and pods per plant. Accession V9 recorded the highest seed yield per plant (16.14 g), pods per plant (23.80), seeds per pod (3.53), and number of seeds per plant (84.71), while V5 produced the heaviest 100-seed weight (22.27 g). Genetic parameter estimates showed that days to first flowering had the highest broad-sense heritability (92.89%), followed by pod length (72.08%) and seeds per pod (70.58%), all with moderate to high genetic advance. Pearson's correlation analysis revealed highly significant positive associations between seeds per pod and number of seeds per plant
(r = 0.93), number of seeds per plant and seed yield per plant (r = 0.87), and seeds per pod and seed yield per plant
(r = 0.78). These findings identify V9 as the most promising accession for yield improvement and recommend seeds per pod and number of seeds per plant as the most reliable indirect selection criteria for advancing soybean yield within this germplasm.
Soybean (Glycine max L.) performance is strongly influenced by sowing time and genotype, and identifying the most productive combination is important for stable yield production. The present study evaluated three soybean genotypes (Faisal Soya, AARI Soya and NARC-21) under three sowing dates (15 August, 1 September and...
N. F. Veesar, Sadam Hussain, Nadia Khan et al.· Jammu Kashmir Journal of Agr...· 0 citations
Soybean improvement depends on the identification of genetically diverse germplasm with superior agronomic performance. This study evaluated the phenotypic diversity, yield potential, and genetic variability of a large and diverse panel of 278 soybean genotypes under the agro-ecological conditions of the Madhupur Tract...
Mohana Tasnin, Md. Saddam Hossain, M. A. Al Mamun et al.· Legumes· 0 citations
This research explored the genetic basis of adaptation for soybean to the low-latitude but high-elevation production regions in Rwanda. Soybean [Glycine max (L.) Merrill] is an increasingly important crop in Rwanda; however, production remains constrained by limited availability of high-yielding, locally adapted cultiv...
D. Mutoni, F. Fritschi, T. Joshi et al.· Theoretical and Applied Gene...· 0 citations
Field pea (Pisum sativum L.) is an important legume crop whose productivity is strongly influenced by environmental conditions, making the evaluation of genotype performance and stability essential for breeding and sustainable cultivation. The aim of the present study was to evaluate local field pea varieties grown und...
E. Zhekova, Sofiya Petrova, Evgeniy Dimitrov· Yüzüncü Yil Üniversitesi Tar...· 0 citations
Lucerne (Medicago sativa L.) is a perennial forage crop valued for its high biomass production, nutritive value and repeated harvesting potential. Identification of local germplasm is essential for lucerne improvement and breeding. This study assessed the potential of 12 lucerne accessions for green fodder yield and as...
Swaiba Rani, Neelam Chaudhary, Syed Mehar Ali Shah et al.· Kashmir Journal of Academic...· 0 citations
Fifty-four sesame genotypes, comprising 51 genebank accessions and three farmer-preferred cultivars, were evaluated during the 2023 and 2024 summer seasons at the Kassala and Gash Research Station, Sudan, under surface irrigation using an augmented randomised complete block design. The study assessed phenotypic and gen...
Elawad Mohammad Sedig, M. M. Beshir, A. E. Idris et al.· Asian Journal of Research in...· 0 citations
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