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ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Plant Breeding

This article is part of the Research TopicAdvances in Faba Bean Breeding and GenomicsView all articles

Harnessing Faba Bean MAGIC Populations for Enhanced Protein Content, Yield, and Agronomic Performance in Diverse Environments

Provisionally accepted
Lynn  Abou KhaterLynn Abou Khater1Fouad  MaaloufFouad Maalouf1*Cassandra  WalkerCassandra Walker2Outmane  BouhlalOutmane Bouhlal3Khawla  AlouiKhawla Aloui3Rind  BalechRind Balech4Kaoutar  El MahmoudiKaoutar El Mahmoudi5Mohammed  IbrizMohammed Ibriz5Francis  Chuks OgbonnayaFrancis Chuks Ogbonnaya6Shiv  KumarShiv Kumar3
  • 1International Center for Agricultural Research in the Dry Areas (Lebanon), Verdun, Lebanon
  • 2AgriBio Centre For AgriBioscience, Bundoora, Australia
  • 3International Center for Agricultural Research in the Dry Areas Morocco, Rabat, Morocco
  • 4International Center for Agricultural Research in the Dry Areas, Beirut, Lebanon
  • 5Universite Ibn Tofail Faculte des Sciences, Kenitra, Morocco
  • 6Australian Government Grains Research and Development Corporation, Barton, Australia

The final, formatted version of the article will be published soon.

Faba bean (Vicia faba L.) has gained prominence as a key source of plant-based proteins owing to its high protein concentration, and substantial yield potential. To identify superior haplotypes for grain yield and protein content, 2,431 MAGIC lines were developed through two rounds of eight-way F1 inter-crossing of 28 crosses. Field trials were conducted using augmented design with four repeated checks at two locations, Terbol in Lebanon and Marchouch in Morocco during 2023/2024. Observations were recorded on phenological and yield-related traits. Protein content was analyzed using both the traditional Kjeldahl method and Near-Infrared Spectroscopy (NIRS) using FOSS DS2500 system. Calibration model was developed using Modified Partial Least Squares (MPLS) regression for grain samples. The grain-based calibration model showed strong predictive accuracy with an R² of 0.983. Cross-validation confirmed the model's reliability, with an additional training/test split yielding an R² of 0.82. Flowering and maturity periods were longer at Terbol compared to Marchouch. Significantly higher values for the number of pods and seeds per plant, grain yield, and biological yield were recorded at Terbol. Protein content ranged from 12.0% to 30.4% with strong correlation between locations (r = 0.6, p < 0.001), demonstrating high repeatability of protein estimates at both locations. Notably, protein content and grain yield did not show any correlation, indicating potential for simultaneous selection for both the traits. Based on the performance at both sites, the top 10 lines showing transgressive segregation with at least 25% higher protein content and grain yield than the parental checks were identified.

Keywords: faba bean1, grain yield4, MAGIC population2, Protein Content3, trait analysis5

Received: 23 Oct 2025; Accepted: 21 Jan 2026.

Copyright: © 2026 Abou Khater, Maalouf, Walker, Bouhlal, Aloui, Balech, El Mahmoudi, Ibriz, Ogbonnaya and Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Fouad Maalouf

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