1977 papers
This study identifies cultivars C-306 and RSP-561 as the most drought-resilient wheat varieties due to their superior antioxidant defense, osmotic adjustment, and post-stress recovery capabilities, with RSP-561 highlighted as a promising genetic resource for breeding programs.
This study confirms that the barley leaf rust resistance gene RphMBR1012 is genetically distinct from Rph4, leading to its official designation as a novel resistance locus, Rph30, and provides high-accuracy molecular markers for its use in breeding programs.
This study demonstrates that while silicon supplementation in wheat roots induces structural silicification and alters nutrient composition, pre-existing silica deposition alone does not significantly restrict the colonization or performance of the fungal pathogen *Bipolaris sorokiniana* in excised roots.
A field experiment conducted in Hyderabad demonstrated that the rice variety DRR Dhan-42, when grown under drip irrigation at 1.5 Epan with 100% nitrogen, yields the best results by significantly enhancing root characteristics, nutrient uptake, and grain production while optimizing nitrogen distribution in the soil.
Increasing salinity levels from 0 to 30 g/L NaCl significantly impair the performance of a duckweed-based sequencing batch reactor for agricultural wastewater remediation by reducing pollutant removal efficiencies, decreasing biomass productivity, and inhibiting dominant microbial species.
This paper proposes XAI-PRFHO, an explainable AI framework that integrates a TCN–BiLSTM model with conformal prediction and multi-layer interpretability to generate calibrated probabilistic rainfall forecasts, which are then optimized via NSGA-III to significantly reduce weather-induced crop losses and increase yields in precision agriculture.
Based on survey data from 858 large-scale rice producers in Jiangxi Province, this study demonstrates that digital literacy significantly promotes the adoption of intelligent agricultural machinery through mediating social networks and cognitive levels, with effects varying by resource endowments, location, and farming type.
This computational metabolomics study utilizes LC-MS/MS and machine learning to characterize the distinct chemical landscapes of three *Bacillus* consortia across growth stages, providing a foundational chemical lexicon for the rational design of next-generation microbial biostimulants that support sustainable agriculture.
This study demonstrates that treating semi-hardwood avocado cuttings with undiluted Aloe vera gel results in a 100% success rate for sprouting, rooting, and survival within six weeks, offering a highly effective and sustainable alternative to synthetic rooting hormones.
This study demonstrates that applying zeolite- or biochar-coated urea formulations at 75% of the recommended nitrogen dose significantly enhances wheat growth, yield, and nitrogen use efficiency to levels comparable to conventional urea at full dose, offering a sustainable strategy to reduce nitrogen application by 25% without compromising productivity.