EventsThe 1st International Online Conference on Biology
Published
This submission belongs to the session S7. Plant Biology of the event The 1st International Online Conference on Biology
Published date
05 Feb, 2026
Academic Editor
author-avatarZdenko Rengel
Citation
Abdelmonim ZEROUAL, Aziz Baidani, Bacar Abdallah Abderemane, Mohammed Mitache, Omar Idrissi, Evaluation of lentil (Lens culinaris Medik.) genotypes for yield performance and stability under rainfed conditions in Morocco, in Proceedings of The 1st International Online Conference on Biology, 10 February–12 February 2026, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Evaluation of lentil (Lens culinaris Medik.) genotypes for yield performance and stability under rainfed conditions in Morocco

1. Laboratory of Food Legumes Breeding, Regional Center of Agricultural Research of Settat, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, Rabat 10090, Morocco, Morocco
2. Laboratory of Agrifood and Health, Faculty of Sciences and Techniques, Hassan First University of Settat, BP 577, Settat 26000, Morocco
3. Laboratory of Agrifood and Health, Faculty of Sciences and Techniques, Hassan First University of Settat, BP 577, Settat 26000, Morocco, Morocco
Abstract

Introduction: Lentil (Lens culinaris Medik.) is a nutritionally rich legume widely cultivated across diverse agro-ecological zones. In Morocco, it is mainly grown by smallholder farmers under rainfed conditions on limited areas. The grain yield of lentil is strongly influenced by environmental variability, leading to genotype-by-environment interactions (GEI) that slow breeding progress. Understanding GEI interactions is critical for identifying high-yielding and stable genotypes to improve productivity. Methods: 40 lentil genotypes were evaluated across multiple field trials in major lentil-growing regions of Morocco. Trials were conducted under representative rainfed conditions with limited inputs. Grain yield data were collected, and the effects of genotype, environment, and their interaction were analyzed using appropriate statistical models to assess performance and stability. Results: Significant effects of genotype, environment, and GEI were observed for grain yield, indicating differential genotype performance across environments. Some genotypes exhibited consistently high yield and stability across environments, whereas others were more sensitive to environmental variation. The analysis allowed the identification of genotypes combining high productivity with broad adaptation. Conclusions: The study highlighted the importance of considering GEI interactions in lentil breeding under Moroccan conditions. High-performing and stable genotypes identified here represent promising candidates for enhancing lentil yield and supporting sustainable production. These findings provide valuable insights to increase genetic gain and guide future lentil breeding strategies in Morocco.

Keywords
Lentil
grain yield
genotype-by-environment interaction
Stability.
Comprehensive Workflow for Bacterial Genome Analysis: From SRA Raw Reads to Reference Mapping and Annotation
Short-term semen storage of the Bulatmai barbel (Luciobarbus capito) for conservation programs