Aug 2026· Agronomy· Vol 16, pp. 1647· 0 citations· 45 references
Abstract
Yam bean (Pachyrhizus spp.) is a promising, yet underutilized, leguminous crop with considerable potential for biopesticide development. However, baseline data on seed yield, the heritability of pod traits, and antibacterial effects against Ralstonia solanacearum (RS) are lacking, limiting informed selection for seed production and biopesticide use. This study evaluated the morpho-agronomic traits of nine Amazonian yam bean progenies and screened their seed extracts for in vitro antibacterial activity against RS. We conducted the experiment on a Spodosol, using a trellis system in a randomized complete block design with four replications and four plants per plot. Seed yield varied from 0.56 to 0.98 t ha−1, with progenies P14, P20, and P23 exhibiting the highest numerical yields. Broad-sense heritability (H2) was high for pod length (0.77), pod width (0.81), and 100-seed mass (0.85), suggesting considerable potential for genetic improvement of these traits. In vitro antibacterial assays revealed concentration-dependent biphasic activity: 0.5% (w/v) extracts initially stimulated bacterial growth at 6 and 12 h but suppressed multiplication by 88–90% at 24 h, whereas 5% (w/v) extracts promoted growth throughout the 24 h period. These findings establish baseline seed yield data for yam bean grown in Amazonian Spodosols and highlight the genetic variability available for breeding programs in the region. Progenies P14, P20, and P23 warrant further investigation as sources of natural compounds for sustainable plant protection, underscoring the need for optimized formulations and extended exposure periods.
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
Genetic variability and reliable heritability estimates are prerequisites for effective selection in plant breeding. This study assessed heritability and trait correlations for yield and yield-related characters in ten safflower (Carthamus tinctorius L.) genotypes. The experiment was carried out during the Rabi season...
Benazir Unar, Abdul Ghaffar Shar, Bisma Wassan et al.· Kashmir Journal of Academic...· 0 citations
Grass pea (Lathyrus sativus L.) is a resilient grain legume with potential importance for crop improvement under variable production environments. The present study evaluated the genetic potential of 12 grass pea genotypes during the 2023–24 and 2024–25 rabi seasons at the Research cum Instructional Farm of Uttar Banga...
Puja Sarkar, S. Chakraborty, T. Ghimiray et al.· Journal of Advances in Biolo...· 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 study evaluated the agronomic performance and biochemical composition of five cowpea (Vigna unguiculata L. Walp) varieties: Drum, Botoro, Oloyin, Ife-Brown, and IT04K-332-1. Cultivated under field conditions using a randomized complete block design (RCBD) with three replications, all varieties received uniform man...
Victoria Odutayo· FUDMA Journal of Sciences· 0 citations
Pearl millet is a critical staple crop in the arid and semi-arid tropics, yet systematic characterization of genetic variability among diverse germplasm under multi-environment conditions remains limited. This study assessed genetic variability, heritability, genetic advance and trait associations among 300 diverse pea...
Jaishree Tanwar, C. Tarasatyavathi, Ramesh et al.· Electronic Journal of Plant...· 0 citations
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