Cereals

Spatial Risk Assessment of Xylella fastidiosa and Its Potential Vectors in South Korea Using Multiple Ecological Niche Models

- Integrated risk assessment of Xylella fastidiosa and its vectors via multi?ensemble modelling.ABSTRACTXylella fastidiosa is a high?priority quarantine pathogen that poses a significant threat to a...

Generation of Herbicide?Resistant Alfalfa Germplasm via Prime Editing

- ABSTRACTAlfalfa (Medicago sativa) is the most widely cultivated forage crop worldwide, owing to its high protein content, balanced amino acid profile, and abundance of vitamins and minerals. However,...

Finlay–Wilkinson random regression for yield and yield stability prediction in cereals

- AbstractYear?to?year climate variability poses a challenge for agriculture by increasing crop yield variability; therefore, there is a need to identify genotypes that can withstand these...

Scaling up soybean breeding: Satellite imagery delivers accurate maturity estimation across plot sizes

- AbstractAccurate and scalable phenotyping is essential for accelerating genetic gain in soybean (Glycine max (L.) Merr.) breeding programs. Traditional methods for estimating physiological maturity...

Programmable Domestication: CRISPR, Pan?Genomics and System Level Engineering for Next?Generation Crops

- Conceptual overview of programmable de novo domestication from genetic diversity discovery to crop deployment. The framework connects diverse germplasm and genomic resources with three trajectory...

From manual to autonomous: the role of intelligent technologies in the driving and control of combine harvester

- The intelligent transformation of combine harvesters is essential to the development of smart agriculture. Focusing on the transition from manual operation to autonomous harvesting, this review...

Time course sensor?based phenotyping can predict Ascochyta blight disease severity in Cicer species

- AbstractAscochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high?throughput evaluation of plant–pathogen...

Time-integrated sentinel-1 backscattering coefficient for monitoring of forage maize development and growth: a pilot study in Sweden

- Julien Morel Frédéric Baup Johan E. S. Fransson Mats Söderström David Parsons Mårten Hetta Susan Steele-Dunne a European Commission, Joint Research Centre (JRC), Ispra, Italyb Department of Crop...

Focus on DnaJ protein research from Arabidopsis to crop improvement

- AbstractDnaJ proteins (Hsp40s) are essential components of the cellular proteostasis network, functioning as molecular co?chaperones that regulate protein folding, stability, and stress?responsive...

Correction to “Climate Risk Perception and Farmers' Willingness to Pay for Hybrid Rice Technology in Southern Togo”

- ABSTRACTExploring crop climatic yield potential under changing environments provides critical insights for enhancing land productivity and guiding agricultural adaptation. Recent studies demonstrate...

Watch: AI-powered laser weeding in organic vegetables: A first-of-its-kind in Ireland

- Lasers and artificial intelligence (AI) have long been the stuff of science fiction, but now writes William Deasy, Specialised Vegetable Advisor, some growers are using state-of-the-art commercially...

Forecasting Wholesale Prices of Canchan potatoes using artificial intelligence models with data from the Ministry of Agrarian Development and Irrigation of Peru (2020–2025)

- Accurately forecasting agricultural prices is a critical factor for stabilizing markets and optimizing decision-making across supply chains. This paper proposes a supervised machine learning...

Haplotypes and Machine Learning Improve Genomic Prediction in Brassica napus

- ABSTRACTGenomic selection (GS) is a crop and livestock improvement method suited for predicting complex agronomical traits, while genomic prediction (GP) is the development of GS models prior to...

Assessment of relative soil moisture during fallow from Sentinel-1 and -2 to support crop management decisions for sorghum in Northeastern Australia

14/07/2026 - Informed decision-making ahead of planting is essential for minimizing sorghum production risk, particularly under increasing climate variability. Antecedent soil moisture status during the fallow...

Multimodality, interaction modeling, and multimodule architectures in genomic prediction: A unified conceptual framework

- AbstractThe rapid expansion of genomic, environmental, phenomic, and other high?dimensional data sources has transformed genomic prediction in plant breeding. However, the terms multimodal,...

Salinity tolerance in wheat (Triticum aestivum L.): physiological mechanisms, grain quality responses, and advances in integrated breeding and management strategies

- Salinity stress in wheat (Triticum aestivum L.) represents a major challenge for agricultural sustainability, grain quality, and global food security, particularly in arid and semi-arid regions...

Genetic dissection of southern corn leaf blight resistance in sweet corn through genome?wide association studies and genomic selection

- AbstractSouthern corn leaf blight (SCLB) is caused by the fungal pathogen Bipolaris maydis (syn. Cochliobolus heterostrophus Drechsler) and is a common disease of fall crops of sweet corn....

Laser?Enabled Biotechnology Platforms for Climate?Resilient Crop Production: Mechanistic Insights and Future Prospects

- ABSTRACTClimate change poses a major threat to global food security through extreme weather events, expanding pathogen ranges, and increased agrochemical dependency. This review highlights the...

Soil Microbiota and Rhizosphere Dynamics: Ecological Mechanisms Driving Crop Stress Adaptation in Climate?Smart Agriculture

- ABSTRACTClimate change?mediated abiotic stresses limit crop performance, and plant responses are increasingly recognized as emergent properties of the coupling between soil, plants, and microbiomes...

Digital interventions for climate-resilient crops: evaluating a mobile app’s role in enhancing Lathyrus production knowledge among tribal farmers

A TAF10?ERF109 Transcriptional Module Directs Flavonoid?Based Stress Resilience and Yield Enhancement in Foxtail Millet and Wheat

- ABSTRACTTo ensure sustainable agricultural production under escalating environmental constraints such as drought and salinity, innovative strategies are urgently needed. Here, we reveal in foxtail...

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