1958 papers
This study characterizes the starch digestibility, predicted glycemic index, and microstructural properties of North Indian maize genotypes, revealing that high amylose content correlates with increased resistant starch and lower glycemic potential, with the ADHAM 15 mutant identified as a promising candidate for developing low-glycemic maize hybrids.
The paper introduces WiDiPo, a publicly accessible collection of over 200 clonally maintained wild diploid potato genotypes characterized by their genetic and phenotypic traits, to facilitate their effective use as a resource for enhancing potato breeding germplasm.
This study demonstrates that the Cation Ratio of Soil Structural Stability (CROSS) is a superior indicator to the traditional Sodium Adsorption Ratio (SAR) for predicting soil structural degradation and permeability hazards under recycled water irrigation by more accurately accounting for the dispersive effects of potassium and the flocculating roles of calcium and magnesium.
This paper proposes an optimized multi-class rice leaf disease classification framework that integrates a Recursive Feature Elimination-based "RiceFS" mechanism with ensemble machine learning, demonstrating that an Optimized SVM classifier achieves superior performance (92.10% accuracy) to support sustainable agriculture through timely disease intervention and resource optimization.
This study reveals that intercropping *Asparagus cochinchinensis* under *Pinus massoniana* enhances medicinal saponin quality by decoupling morphological growth from metabolic activity, driven by rhizosphere-enriched *trans*-cinnamic acid and GA4 that modulate endogenous salicylic acid and cis-OPDA signaling pathways.
This study demonstrates that supplementing agricultural residue substrates with calcium carbonate effectively reduces toxic metal accumulation in *Pleurotus ostreatus*, ensuring that the resulting mushrooms pose negligible non-carcinogenic and carcinogenic health risks for human consumption.
This study demonstrates that a hybrid framework integrating multi-temporal Sentinel-2 imagery, topographic data, and Random Forest classification within the Google Earth Engine platform can achieve high-accuracy crop mapping (95% overall accuracy) in complex smallholder landscapes characterized by intermingled orchards and annual crops.
This study employs an integrated computational framework combining conservation profiling, epitope prediction, and structural analysis to identify and prioritize conserved, high-confidence B-cell and T-cell epitopes within the Peste des Petits Ruminants Virus hemagglutinin protein as promising candidates for future vaccine development.
This three-year commercial-scale study demonstrates that pronounced spatiotemporal variability in irrigation and soil moisture does not necessarily correlate with yield or plant water status in almond orchards, suggesting that variable-rate micro-irrigation can be optimized to improve water-use efficiency without compromising productivity.
This study utilized GC-MS to demonstrate that mature Linden honey exhibits a higher content of volatile compounds, including specific potential characteristic markers, and possesses the strongest antibacterial activity against *E. coli*, *S. aureus*, and *Salmonella* compared to earlier maturity stages, thereby providing a scientific basis for quality certification and identifying stages with high biological activity.