1211 papers
This study demonstrates that while processing Genipa americana (huito) juice reduces specific bioactive compounds like vitamin C and geniposide, it simultaneously enhances overall antioxidant capacity, and that combining pasteurization with chemical preservatives effectively ensures microbial stability and preserves the fruit's potential as a functional nutraceutical food.
This study evaluated fifteen advanced potato genotypes in Bekoji, Ethiopia, and identified four superior clones (CIP315003.132, CIP315008.160, CIP315009.71, and CIP315004.61) that outperformed the local variety Burka in both yield and critical processing quality traits, highlighting the potential for developing new varieties to meet the country's growing processing industry demands.
This field-scale study demonstrates that a biologically integrated management strategy, combining mycorrhizal fungi, rhizosphere bacteria, organic inputs, and nutrient optimization, can significantly restore maize productivity and stabilize sodium-dominated soils in Romania without the need for chemical amendments like gypsum.
This study analyzes drought impacts and adaptation strategies in southern Brazil's family sericulture systems, revealing that while farmers employ various coping mechanisms, their resilience is critically constrained by biophysical vulnerabilities, market dependencies, and insufficient institutional support.
This study integrates deep fuzzy clustering and multivariate analysis to demonstrate how the interaction between pre-harvest drought stress and post-harvest thermal drying creates genotype-specific trade-offs between drying efficiency and milling quality, thereby establishing a framework for optimizing rice processing systems through informed genotype selection and temperature control.
This study demonstrates that optimizing the ammonium-to-nitrate ratio in hydroponic nutrient solutions to 20:80 significantly extends the vase life and stem strength of gerbera cut flowers by enhancing calcium uptake and improving water relations, thereby offering a practical solution to reduce postharvest losses in the floriculture industry.
This study utilizes multi-omics network modeling to identify two distinct rumen enterotypes in Hu sheep that drive divergent rumen-to-serum metabolic axes, ultimately linking specific microbial communities and metabolite profiles to superior or inferior growth performance and carcass traits.
This study demonstrates that the combined application of Mg-modified biochar/attapulgite soil amendments and foliar inhibitors effectively reduces cadmium accumulation in rice grains by increasing soil pH and organic matter, transforming cadmium into less bioavailable forms, and ultimately enhancing crop yield.
This study utilized genome-wide association analysis, meta-QTL mapping, and genomic prediction on 314 wheat accessions to identify stable marker-trait associations for ten quality traits, revealing a genetic trade-off between dough rheological properties and yield while providing valuable molecular markers and resources for high-quality wheat breeding.
This paper proposes a lightweight, two-stage attentive CNN based on MobileNetV3-Large that achieves state-of-the-art accuracy and computational efficiency for crop-weed classification on the CWD30 dataset while leveraging explainable AI to ensure the model focuses on discriminative plant features rather than background clutter.