Optimizing Intrarow Spacing for Enhanced Growth and Yield Performance of Faba Bean (Vicia faba L.) Varieties in Western Ethiopia

优化行内间距以提高埃塞俄比亚西部蚕豆(Vicia faba L.)品种的生长和产量

阅读:1

Abstract

Faba bean (Vicia faba L.) is a critical legume for food security and soil fertility in Ethiopia, yet its productivity remains suboptimal due to multiple constraints, including poor agronomic practices, among which suboptimal plant spacing contributes to yield gaps. Farmers often use arbitrary spacing, leading to inconsistent yields, while the performance of improved varieties such as "Gora" and "Moti" under varying densities is underexplored in regions such as Guduru. This study aimed to (1) evaluate growth and yield responses of faba bean varieties to intrarow spacing; (2) identify optimal spacing for yield maximization; and (3) assess variety × spacing interactions. A factorial experiment (3 varieties × 4 spacings: 5, 10, 15, 20 cm) was conducted in a randomized complete block design (RCBD) with three replications during the 2023-2024 cropping season in Guduru, Ethiopia. Data on phenology, growth, yield components, and economic returns were analyzed. Two-way ANOVA was performed using GenStat 15, with significant differences separated by Fisher's LSD test (p < 0.05). "Gora" and "Moti" outperformed the local variety in yield (3643 and 3189 kg ha(-1), respectively) and harvest index (43% and 40%). Wider spacing (20 cm) enhanced individual plant performance (e.g., 45.3 seeds plant(-1) for "Gora"), but 10 cm spacing optimized population-level yield (3080 kg ha(-1)) and economic returns (MRR > 100%). Moderate intrarow spacing (10 cm) with improved varieties ("Gora") maximizes yield and profitability in faba bean production. Future studies should explore genotype-specific spacing under diverse agroecologies and integrate modern agronomic practices such as precision planting to further enhance productivity.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。