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High-yield and High-efficiency Cultivation Technology with Delayed Nitrogen Application for Wheat in the Huang-Huai Region
摘要: The delayed nitrogen application technology is a crucial method for achieving high yield and efficiency in wheat cultivation. Specifically, more nitrogen is supplied to the middle and late growth stages of wheat by adjusting the application time and proportion of nitrogen fertilizer. This approach helps improve the tiller-bearing percentage, increase the number of grains per ear and the thousand-grain weight, while also reducing nitrogen loss and enhancing fertilizer use efficiency. This paper systematically elaborated on the high-yield and high-efficiency cultivation technology system with delayed nitrogen application for wheat, covering variety selection, soil management, sowing technology, the principle and implementation methods of delayed nitrogen application, integrated water and fertilizer management, field management, and comprehensive pest and disease control. Considering the ecological characteristics of major wheat-growing regions in China, tailored technical solutions were proposed, and operational key points of critical technological steps were introduced in detail. Through scientific variety distribution, precise nitrogen management, and integrated pest control, wheat yield and quality can be enhanced while achieving cost saving, improved efficiency, and ecological environmental protection. This paper provides systematic theoretical guidance and practical references for promoting thedelayed nitrogen application technology in wheat, thereby supporting the sustainable development of China's wheat industry. 
关键词: Wheat; Delayed nitrogen application; High yield and efficiency; Cultivation technology; Pest and disease control; Water and fertilizer management
Effects of Continuous Cropping of Polygonatum odoratum on Microbial Functional Diversity and Selected Environmental Factors in the Rhizosphere Soil
摘要: [Objectives] This study was conducted to investigate the mechanism of continuous cropping obstacles in Polygonatum odoratum. [Methods] Three treatments were established: continuous cropping (two consecutive crops), first-crop control (with Phaseolus vulgaris as the preceding crop), and blank control. The effects of continuous cropping on the functional diversity of soil microorganisms, soil enzyme activities, and soil nutrient coordination in the rhizosphere soil of P. odoratum during different growth stages were investigated. [Results] (1) Continuous cropping increased the carbon source metabolic capacity, Shannon diversity index, and richness of rhizosphere soil microorganisms by 3.2%-14.7%, 0.9%-3.5%, and 1.3%-12.5%, respectively, but the differences were not significant. (2) Principal component analysis indicated that during the middle stage of rhizome expansion, continuous cropping significantly altered the characteristics of microbial carbon metabolism, and the microbial communities utilizing carbohydrates, amino acids, polymers, carboxylic acids and amines as carbon sources exhibited vigorous metabolism. (3) Continuous cropping significantly reduced the activities of urease, polyphenol oxidase, and acid phosphatase in rhizosphere soil, with decreases of 24.4%-39.5%, 3.2%-14.8%, and 7.9%-18.2%, respectively. The activities of catalase and invertase sometimes exceeded and sometimes fell below those of the first crop, showing no consistent pattern. (4) Under continuous cropping conditions, nutrient imbalance occurred in the rhizosphere soil, characterized by nitrogen deficiency and phosphorus surplus. (5) Grey correlation analysis indicated that available phosphorus content, alkali-hydrolyzable nitrogen content and polyphenol oxidase activity in rhizosphere soil were the main factors influencing microbial functional diversity. [Conclusions] This study provides a theoretical basis for understanding the formation mechanism of continuous cropping obstacles in P. odoratum.
关键词: Polygonatum odoratum; Continuous cropping; Rhizosphere soil; Microbial function
Effects of Selenium (Se) on the Content and Balance of Endogenous Hormones and the Function of Antioxidant System during Seed Development of Red Sandalwood (Pterocarpus santalinus)
摘要: [Objectives] This study was conducted to investigate the regulatory effects of selenium (Se) on the content and balance of endogenous hormones and the function of antioxidant system during seed development in red sandalwood (Pterocarpus santalinus). [Methods] Two basic treatments, seven single-fertilization treatments, and four combined fertilization treatments were designed. Sampling was conducted at 2, 5, 8, and 18 weeks after flower withering to measure the embryo abortion percentage (EAP), the contents of three endogenous hormones (IAA, GA₃, ABA), and the activities of four antioxidant enzymes (CAT, APX, SOD, GR). [Results] Se application significantly inhibited embryo abortion in red sandalwood, with Na₂SeO₃ (Se (IV)) showing superior effects to Na₂SeO₄ (Se (VI)) and far exceeding the efficacy of individual applications of KCl, H₃BO₃, CO(NH₂)₂, Ca(H₂PO₄)₂, NPK compound fertilizer, or EFOF. The combined treatment of Se with NPK compound fertilizer and EFOF (EFOF+NPK compound fertilizer+Se (IV)) was the most effective, reducing the abortion percentage by 77.8% compared with UMC at 18 weeks after flower withering. Se application significantly increased the levels of three endogenous hormones and the (IAA+GA₃)/ABA ratio in red sandalwood seeds (including the embryonic stage). In the optimal treatment, the (IAA+GA₃) content was 240.7%, 256.4%, 353.7%, and 502.9% higher than that of UMC at 2, 5, 8, and 18 weeks after flower withering, respectively. Se application also concurrently enhanced antioxidant enzyme activities, with all four antioxidant enzymes in seeds of Se-treated plants showing significant increases. Notably, the selenoenzyme GR maintained considerably high activity even at 18 weeks after flower withering. The embryo abortion percentage was highly significantly negatively correlated with IAA content and GR activity, identifying IAA and (IAA+GA₃) content as key hormonal indicators and GR as the core antioxidant enzyme, together constituting the central regulatory factors. The results indicate that Se suppresses embryo abortion in red sandalwood through a dual regulatory pathway: by elevating IAA and GA₃ levels along with the (IAA+GA₃)/ABA ratio to optimize hormonal signaling networks, and by enhancing the activities of antioxidant enzymes such as GR to alleviate oxidative stress induced by cool-season low temperatures. [Conclusions] This study provides a theoretical basis and technical strategy for precision fertilization and stress resistance management in the cultivation of red sandalwood. 
关键词: Pterocarpus santalinus; Embryo abortion; Selenium nutrition regulation; Endogenous hormones; Antioxidant enzyme activity
Progressive Layered Extraction Network Based on Correlation Sharing for Multi-target Prediction of Soil Nutrients
摘要: With breakthroughs in data processing and pattern recognition through deep learning technologies, the use of advanced algorithmic models for analyzing and interpreting soil spectral information has provided an efficient and economical method for soil quality assessment. However, traditional single-output networks exhibit limitations in the prediction process, particularly in their inability to fully utilize the correlations among various elements. As a result, single-output networks tend to be optimized for a single task, neglecting the interrelationships among different soil elements, which limits prediction accuracy and model generalizability. To overcome this limitation, in this study, a multi-task learning architecture with a progressive extraction network was implemented for the simultaneous prediction of multiple indicators in soil, including nitrogen (N), organic carbon (OC), calcium carbonate (CaCO₃), cation exchange capacity (CEC), and pH. Furthermore, while incorporating the Pearson correlation coefficient, convolutional neural networks, long short-term memory networks and attention mechanisms were combined to extract local abstract features from the original spectra, thereby further improving the model. This architecture is referred to as the Relevance-sharing Progressive Layered Extraction Network. The model employs an adaptive joint loss optimization method to update the weights of individual task losses in the multi-task learning training process.  
关键词: Near-infrared spectroscopy; Progressive extraction network; Multi-task learning; Convolutional neural network; Long short-term memory network; Attention mechanism