Pathogenicity of entomopathogenic Beauveria bassiana strains on Helicoverpa armigera (Hübner)
The destructive pest of chickpeas, Helicoverpa armigera (Hübner), is difficult to control using synthetic insecticides. The current research examined the entomopathogenic and endophytic colonisation effects of three fungal strains of Beauveria...
Optimizing water management and climate-resilient agriculture in rice-fallow regions of the Dwarakeswar river basin using ML models
Accurate spatial data on single-crop regions like rice fallows is vital for policymakers to optimize agrotechnological interventions and improve crop productivity. Predicting soil moisture and groundwater levels (GWL) is equally essential for...
Pre-Treatment Effects on Chemico-Physical Characteristics of Argan Press Cake Used for Bread Production
Argan oil is known worldwide for its nutritional, therapeutic, and cosmetic benefits. However, the extraction process produces 40–50% of argan press cake (APC), which is rich in protein, fiber, and minerals. Despite its nutritional potential...
Agricultural biocontrol potential of bacterial volatile organic compounds (bVOCs) for enhanced crop protection
Plant diseases and insect pests present significant challenges to agricultural productivity, while nutritional deficiencies impede plant growth. Recent research has focused on plant growth-promoting rhizobacteria (PGPR), which regulate soil...
Effects of Physicochemical Characteristics of Two Soils on Agro-Morphological Traits of Two Chickpea Varieties (Cicer arietinum L.)
This study investigated the impact of soil properties under greenhouse conditions on the growth and productivity of two chickpea (Cicer arietinum) genotypes (V1 and V2) using two distinct soils collected from Marchouch and Beni Mellal sites...
Selection of high nitrogen fixation chickpea genotypes under drought stress conditions using multi-environment analysis
Chickpea (*Cicer arietinum* L.) is an important pulse crop mainly grown in marginal lands around the world. Drought stress highly impacts symbiotic nitrogen fixation (SNF) in chickpeas, which can limit productivity. Therefore, selecting high...
Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud
The estimation of Forest above-ground biomass (AGB) is critical for comprehending forest ecosystems and promoting biodiversity restoration. The study was conducted to develop an effective approach to predict Forest Above-Ground Biomass (AGB)...
Trait preferences and lentil varietal adoption in central Ethiopia: A multistakeholder approach
Agricultural technologies, including modern/improved crop varieties, are a critical measure for improving productivity, meeting food security needs, and bridging inequalities. This notwithstanding, adoption of some improved crop varieties in sub...
Towards the establishment of genetic reserves for key crop wild relatives in Lebanon: Analysis of strategies across diverse ecogeographical landscapes
This study aims to identify best areas for the establishment of a genetic reserves network in Lebanon to achieve the in situ conservation of 35 targeted CWR taxa belonging to Aegilops L., Triticum L., Avena L., Hordeum L., Cicer L., Lens Mill...
Genome-wide association study and genomic prediction for hessian fly resistance in ICARDA’s elite bread wheat genotypes
The Hessian fly, scientifically known as Mayetiola destructor (Say), is an agricultural pest that causes a substantial decrease in wheat productivity, especially in dry countries like Morocco, where it can decrease yields by about 32–36% during...
