Sokolović Dejan, Babić Snežana, Petrović Mirjana, Solís Ignacio, Cougnon Mathias, Gutierrez Natalia, Pärssinen Pertti, Reheul Dirk, Radović Jasmina, Torres Ana M
Institute for Forage Crops Kruševac, Kruševac, Serbia.
Agrovegetal S.A., Sevilla, Spain.
Front Plant Sci. 2025 Jan 29;15:1480110. doi: 10.3389/fpls.2024.1480110. eCollection 2024.
Faba bean ( L.) is an important pulse crop traditionally used for human nutrition and animal feeding. With a high protein content ranging from 24% to 35% of seed dry matter, considerable amounts of globulins, essential amino acids and minerals, faba bean is today an important source meeting the growing global demand for nutritious food. The objective of study was to investigate the variability of nine phenological, phenotypical and yield related traits in 220 faba bean accessions in multi-location trials across four representative European regions. Nine field trials were carried out from 2018 till 2020 in four representative European locations (Spain, Finland, Belgium and Serbia) using an augmented p-rep design containing 20 replicated checks. Significant differences among genotypes and environments were detected, being the genotype x environment interaction (GEI) the major source of variation in five of the nine evaluated traits. The "which-won-where" analyses identified two mega-environment namely South European mega environment (SE-ME) and North European mega environment (NE-ME), while the best performing and most stable genotypes according to the nine traits were identified using "means vs stability" analyses. According to the highest trait value in each mega environment several winning genotypes were identified showing better performances than some commercial varieties (controls) or checks. Our results suggest that the geographical locations falling into each mega-environment can be used as faba bean test locations. The genotype ranking for the multi-trait stability index (MTSI) revealed that the most stable and best ranking genotypes in SE-ME are G018, G086, G081, G170 and G015 while in the north mega-environment are G091, G171, G177 (Merkur), G029 and G027. Hierarchical cluster analysis and principal component analyses showed a clear correlation between the traits analysed and the botanical type. These findings indicate that botanical type is one of the most significant factors affecting development in any environment, and it must be taken into account in faba bean breeding activities. The information derived from this study provides a chance for breeding new resilient faba bean cultivars adapted to different agroecological European regions, a critical point for addressing Europe's reliance on protein imports and enhancing sustainable agriculture practices.
蚕豆(L.)是一种重要的豆类作物,传统上用于人类营养和动物饲料。蚕豆种子干物质中蛋白质含量高达24%至35%,含有大量球蛋白、必需氨基酸和矿物质,如今已成为满足全球对营养食品不断增长需求的重要来源。本研究的目的是在欧洲四个代表性地区的多点试验中,调查220份蚕豆种质资源中9个物候、表型和产量相关性状的变异性。2018年至2020年期间,在欧洲四个代表性地点(西班牙、芬兰、比利时和塞尔维亚)进行了9次田间试验,采用包含20个重复对照的增广p-rep设计。检测到基因型和环境之间存在显著差异,基因型×环境互作(GEI)是9个评估性状中5个性状变异的主要来源。“在哪获胜”分析确定了两个大环境,即南欧大环境(SE-ME)和北欧大环境(NE-ME),同时使用“均值与稳定性”分析确定了根据9个性状表现最佳且最稳定的基因型。根据每个大环境中的最高性状值,确定了几个获胜基因型,其表现优于一些商业品种(对照)或对照品种。我们的结果表明,属于每个大环境的地理位置可作为蚕豆试验地点。多性状稳定性指数(MTSI)的基因型排名显示,在SE-ME中最稳定且排名最佳的基因型是G018、G086、G081、G170和G015,而在北部大环境中是G091、G171、G177(默库)、G029和G027。层次聚类分析和主成分分析表明,所分析的性状与植物类型之间存在明显的相关性。这些发现表明,植物类型是影响任何环境中发育的最重要因素之一,在蚕豆育种活动中必须予以考虑。本研究得出的信息为培育适应欧洲不同农业生态区域的新型抗逆蚕豆品种提供了机会,这是解决欧洲对蛋白质进口的依赖以及加强可持续农业实践的关键所在。