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Residue return is a widespread field management practice known for its environmental benefits, including C storage and soil properties. Milk vetch (MV) is the main green manure used to improve the soil fertility of paddy rice in southern China. Returning MV to the field provides the necessary nutrients for crop growth, reduces soil microbial biomass (including bacillus, actinomycete, and AM‐fungi), and enhances the priming effect of short‐term N (increasing functional genes of gdhA and gdh2, nasB, and amoB). However, the microbial mechanism of the proportions of MV with rice residue returning to paddy fields still needs to be clarified. We mixed rice residue and MV at ratios of 1:0 (RS), 2:1 (RM 2_1), 1:1 (RM 1_1), 1:2 (RM 1_2), and 0:1 (MV), buried them in paddy fields using a little bag method, and analysed the C, N, and microbial community of residues over a period of 97 days from May to August 2022 in Ningde, China. C was released from the residue (−30% to −62%) in all treatments after 97 days. N was released from the residue only under MV and RM 1_2 (−65%, −58%, respectively) from 0 to 97 days. From 0 to 7 days, with the release of straw N under MV and RM 1_2 (−44%, −54%), Simpson index (+5%, +9%), relative abundance of fermentation genes (+169%, +73%) and chemoheterotrophic genes (+210%, +112%) increased, respectively. In all treatments, the Shannon index of the bacterial community increased by 12%–66% on the 97th day, especially from Day 55 to 97 (+9% to +36%) compared to that from Day 0 to 55 (−7.7% to +22%). From Day 55 to 97, the relative abundance of signal transduction (+14% to +42%) and lipid metabolism genes (+19% to +26%) increased, but that of translation (−23% to −31%) and folding sorting and degradation genes (−12% to −16%) decreased. This study found that the abundance of aromatic compound degradation genes increased by 2404%–4608% on Day 50, while the relative abundance of Proteobacteria and Firmicutes increased during 0–55 days and 0–7 days (265%–598% and 57%–100%, respectively) and then decreased (60%–77% and 45%–66%, respectively). Bacteroidota decreased by 46%–67% during the experiment, whereas Acidobacteriota increased by 495%–8811%. MV treatment had the highest relative abundance of Firmicutes (66%) on the 7th day and Proteobacteria (64%) on the 55th day. RM 1_1 had the highest Bacteroidota (24%) on the 97th day. Ascomycota was the fungal community with the highest relative abundance (89%–96%). However, its abundance reduced by 19%–29% on the 97th day in all treatments. Residue returning greatly increased the network of fungal communities from 0 to 90 days but reduced that of bacterial communities on the 55th day. Rice height (91–92 cm) and yield (117–118 kg ha−1) were the highest under MV and RM 1_2. In conclusion, the residue with a higher ratio (> 1) of MV and rice decomposition triggered N release through increased microbial function of fermentation and chemoheterotrophy (Firmicutes) on the 7th day and aromatic compound degradation (Proteobacteria) on the 55th day, resulting in the highest rice yield.
Residue return is a widespread field management practice known for its environmental benefits, including C storage and soil properties. Milk vetch (MV) is the main green manure used to improve the soil fertility of paddy rice in southern China. Returning MV to the field provides the necessary nutrients for crop growth, reduces soil microbial biomass (including bacillus, actinomycete, and AM‐fungi), and enhances the priming effect of short‐term N (increasing functional genes of gdhA and gdh2, nasB, and amoB). However, the microbial mechanism of the proportions of MV with rice residue returning to paddy fields still needs to be clarified. We mixed rice residue and MV at ratios of 1:0 (RS), 2:1 (RM 2_1), 1:1 (RM 1_1), 1:2 (RM 1_2), and 0:1 (MV), buried them in paddy fields using a little bag method, and analysed the C, N, and microbial community of residues over a period of 97 days from May to August 2022 in Ningde, China. C was released from the residue (−30% to −62%) in all treatments after 97 days. N was released from the residue only under MV and RM 1_2 (−65%, −58%, respectively) from 0 to 97 days. From 0 to 7 days, with the release of straw N under MV and RM 1_2 (−44%, −54%), Simpson index (+5%, +9%), relative abundance of fermentation genes (+169%, +73%) and chemoheterotrophic genes (+210%, +112%) increased, respectively. In all treatments, the Shannon index of the bacterial community increased by 12%–66% on the 97th day, especially from Day 55 to 97 (+9% to +36%) compared to that from Day 0 to 55 (−7.7% to +22%). From Day 55 to 97, the relative abundance of signal transduction (+14% to +42%) and lipid metabolism genes (+19% to +26%) increased, but that of translation (−23% to −31%) and folding sorting and degradation genes (−12% to −16%) decreased. This study found that the abundance of aromatic compound degradation genes increased by 2404%–4608% on Day 50, while the relative abundance of Proteobacteria and Firmicutes increased during 0–55 days and 0–7 days (265%–598% and 57%–100%, respectively) and then decreased (60%–77% and 45%–66%, respectively). Bacteroidota decreased by 46%–67% during the experiment, whereas Acidobacteriota increased by 495%–8811%. MV treatment had the highest relative abundance of Firmicutes (66%) on the 7th day and Proteobacteria (64%) on the 55th day. RM 1_1 had the highest Bacteroidota (24%) on the 97th day. Ascomycota was the fungal community with the highest relative abundance (89%–96%). However, its abundance reduced by 19%–29% on the 97th day in all treatments. Residue returning greatly increased the network of fungal communities from 0 to 90 days but reduced that of bacterial communities on the 55th day. Rice height (91–92 cm) and yield (117–118 kg ha−1) were the highest under MV and RM 1_2. In conclusion, the residue with a higher ratio (> 1) of MV and rice decomposition triggered N release through increased microbial function of fermentation and chemoheterotrophy (Firmicutes) on the 7th day and aromatic compound degradation (Proteobacteria) on the 55th day, resulting in the highest rice yield.
Precision water and fertilizer application technologies have emerged as crucial innovations in sustainable agriculture, addressing the pressing need to enhance crop yield and quality while optimizing resource use and minimizing environmental impacts. This review systematically explores the latest advancements in precision water and fertilizer application technologies. It examines the integration of advanced sensors, remote sensing, and machine learning algorithms in precision agriculture, assessing their roles in optimizing irrigation and nutrient management. The study evaluates various precision techniques, including micro-irrigation systems, variable rate technology (VRT), and predictive modeling, along with their implementation in diverse agricultural settings. Furthermore, the review addresses the challenges posed by soil environmental heterogeneity and emphasizes the necessity for a scientific index system to guide precise applications. Advanced irrigation methods, such as subsurface drip irrigation and micro-sprinkling, improve water-use efficiency and reduce salinity levels, while precision fertilization techniques optimize nutrient uptake and minimize leaching. The integration of machine learning and remote sensing facilitates real-time monitoring and adaptive management, resulting in increased resource use efficiency and reduced environmental pollution. However, the effectiveness of these technologies is contingent upon addressing soil heterogeneity and developing standardized application indices. This review highlights the novel combination of advanced sensing technologies and data analytics in precision agriculture, enabling targeted interventions tailored to specific field conditions. It underscores the importance of integrating soil microbial community dynamics and biochemical indicators with precision management practices to enhance soil fertility and crop performance. Furthermore, the development of predictive models and time series analysis tools represents a significant advancement in anticipating and responding to changing environmental conditions. Precision water and fertilizer application technologies offer substantial benefits for sustainable agricultural practices by improving crop yields, enhancing resource efficiency, and mitigating environmental impacts. The strategic integration of these technologies with tailored agricultural practices and robust monitoring systems is essential for optimizing nutrient cycling and maintaining soil health. Addressing existing challenges through interdisciplinary research and collaborative efforts will further advance the implementation of precision agriculture, contributing to long-term soil sustainability and global food security.
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