Common hexaploid oat (Avena sativa L.) is an important global cereal crop. A Moroccan tetraploid sister species, A. magna Murphy et Terrel, was exclusively a wild species until recently. The goal of domestication was to exploit its superior groat-protein content and climatic tolerances. We set up replicated trials of 41 domesticated A. magna lines on eight Moroccan farms during the 2017–18 and 2018–19 growing seasons. Twenty traits were measured and analyses of variance detected significant differences among lines. The highest grain yield was at Berrechid in 2017–18 (63.56 q/ha), with an average annual yield across sites of 43.50 q/ha, the site factor explaining 82% and the genotype-environment interaction explaining 15% of the variability. In the second year, El Kebab recorded the highest yield at 20.03 q/ha over the annual average of 14.78 q/ha. In this second year, the site factor was highly significant, explaining 42.25% of the variation, with the genotype-environment interaction explaining 26.61% of the variability. An additional main effect and multiplicative interaction analysis of the eight two-year trials identified several accessions with good yield stability. Twelve lines exhibited a ASVs ≤ 1.50, with five accessions (A34, A40, A23, A05, A04) exceeding the overall average yield of 29.53 and A34 having the greatest mean grain yield and stability. The versatility and stability of A. magna can provide a sustainable protein source and an economic resource for farmers seeking products that are resilient to climatic instability.

No abstract

<p>The expansion of irrigated agriculture and recurrent drought periods poses a serious threat to the renewability and sustainability of common water resources in arid and semi-arid regions. These shared resources can take the form of dam water which is shared between farmers according to a predefined schedule or groundwater which the farmers independently extract. The dam water is less expensive to use but this source can be limited in drought years risking crop productivity. Groundwater is a more reliable resource but is more expensive to extract and can cause soil salinity. Simulating agricultural management systems requires understanding and quantifying how biophysical and socio-economical constraints influence the decisions of farmers. Therefore, this research aimed to develop an agent-based modelling (ABM) approach to simulate farmer behaviour in irrigation management. The Theory of Planned Behaviour was used as a theoretical framework to simulate decision models that were integrated with a biophysical model describing the interaction of farmers with water resources and how limitations of water resources and salinity impact crop yield. Through modelling, we explore various strategies to improve sustainable water use. The methodology is applied to an irrigated perimeter of Al Haouz Basin, Morocco, as a case study, where there are different stakeholders and water user associations with conflicting objectives. The ABMs were parameterised using data collected by surveying 70 farmers. The findings indicate that the existing irrigation scheduling was usually satisfactory. However, with the exacerbation of drought periods, the use of dam water resources is unreliable. Farmers responded by seeking alternative water resources and changing their irrigation systems and cropping patterns which led to the potential of overexploitation of groundwater and increased accumulated salt content.</p>