Cereals

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...

Understanding of Molecular Mechanisms and Breeding Strategies for Enhancing Oleic Acid Biosynthesis in Oil Crops

- ABSTRACTOleic acid (C18:1), a monounsaturated fatty acid, is a key determinant of nutritional value and oxidative stability of vegetable oils. Increasing its concentration has therefore become a...

Ensembles of graph attention networks supervised by genotype-to-phenotype structures improved genomic prediction performance

11/06/2026 - Accurate selection of favourable crop genotypes has motivated the exploration of diverse prediction algorithms for crop breeding applications. One genomic prediction method that has not been fully...

Beyond Topography: Climate?Based Functional Zoning for Adaptive Cotton Management in Arid Regions

- A novel climate?informed zoning approach surpasses conventional geographic delineations in optimising cotton management by aligning agronomic practices with hydrothermal patterns. By clustering...

Application of deep learning in crop research: From genomics to phenomics

- AbstractDeep learning, as a pivotal branch of machine learning, has demonstrated remarkable potential in advancing crop science by effectively integrating genomics and phenomics. This review...

Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning

- Environmental drivers regulate carbon, water, and energy fluxes differently in perennial and annual bioenergy agroecosystems. Long?term eddy covariance data and interpretable machine learning reveal...

The grapevine LysM receptor kinase VvLYK4-2 is a key player in chitosan-triggered immune responses

13/03/2026 - Chitooligosaccharides, such as chitin, are essential components of fungal cell walls and have thus naturally been selected as microbe-associated molecular patterns detected by plants to initiate...

The CaM1?CBP60b?MYB77 Transcriptional Cascade Regulates K+ Homeostasis and Salt Tolerance in Barley

- ABSTRACTSoil salinity is a major abiotic stress that threatens global crop productivity. Calcium (Ca2+) is a pivotal second messenger in plant stress signalling, but how Ca2+ sensors such as...

Genome-wide association studies in horticultural crops: decoding genetic diversity for precision breeding

27/02/2026 - Horticultural crops, including fruits, vegetables, ornamental plants, and tea plants, are vital for economic and nutritional sustainability, yet their cultivation is severely hampered by abiotic...

AGIcam: An open?source Internet of Things–based camera system for automated in?field phenotyping and yield prediction

- AbstractContinuous, high?frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the...

Spatially-aware unsupervised anomaly detection for soil stress monitoring using graph autoencoders in precision agriculture

- IntroductionEarly detection of crop stress in precision agriculture is hindered by complex multivariate sensor interactions, spatial variability across fields, and the scarcity of labeled anomaly...

Polyphagozerra coffeae (Lepidoptera: Cossidae)—a wood-boring pest of coffee and other tree crops

01/06/2026 - The red coffee borer, Polyphagozerra coffeae (Nietner) (formerly Zeuzera coffeae)—native to South and Southeast Asia—is a highly polyphagous wood-boring pest. This review summarizes the biology,...

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