绿肥混播条件下减氮对双季稻产量与土壤养分特征的影响

I Impact of reduced nitrogen application on yield and soil fertility in double rice systems under mixed green manure sowing

  • 摘要: 为探索兼顾水稻稳产增效与土壤养分提升的双季稻绿色高效种植模式, 本研究以紫云英与油菜混播为基础, 设置5个施氮水平不施氮(CK)、常规施氮(150 kg·hm−2, N1MR)、减氮20% (120 kg·hm−2, N2MR)、减氮40% (90 kg·hm−2, N3MR)和减氮60% (60 kg·hm−2, N4MR), 开展绿肥混播条件下不同施氮水平对双季稻产量、干物质积累与分配以及土壤养分特征的影响研究。结果表明, 与N1MR处理相比, N2MR处理著提高了双季稻产量, 其中早稻实际产量显著提高16.1% (P<0.05); 晚稻季N2MR、N3MR和N4MR处理的实际产量较N1MR处理分别显著提高12.5%、8.3%和6.9% (P<0.05), N2MR处理两季水稻实际总产量达14.5 t·hm−2, 较其他处理显著提高7.4%~22.9% (P<0.05)在晚稻季, 与CK处理相比, 除N1MR处理外的其他处理在各生育阶段均显著提高了干物质积累量(DMA)。在抽穗—成熟期, 早稻N2MR和N3MR处理的DMA分别显著高于比其他处理分别显著提高21.7%~151.7%和57.9%~107.0% (P<0.05); 晚稻N2MR处理的DMA比CK处理显著提高(40.3%, P<0.05)。N2MR处理的土壤有机质和铵态氮含量在早稻成熟期比CK处理分别显著提高43.8%和36.1%(P<0.05), 晚稻成熟期分别比CK处理显著提高31.6%和55.3% (P<0.05); 与N1MR处理相比, N2MR处理的土壤有机质含量在早、晚稻成熟期分别显著提高23.3%和14.9% (P<0.05), 而铵态氮含量仅在晚稻成熟期显著提高32.7% (P<0.05)。与CK处理相比, N4MR处理的速效钾含量在冬作翻压期和早稻成熟期分别显著提高107.8%和72.1% (P<0.05); 与N1MR处理相比, N4MR处理在冬作翻压期、早稻成熟期和晚稻成熟期的速效钾含量分别显著提高109.0%、57.8%和56.9% (P<0.05)。水稻实际产量与土壤全氮含量、有效磷含量和群体生物量呈显著正相关(P<0.05), 与土壤有机质含量和有效穗数呈极显著正相关(P<0.01), 与pH呈显著负相关(P<0.05)。综上, 绿肥混播条件下减氮20%可兼顾产量提升与土壤肥力改善, 是双季稻高产高效的可持续施氮策略。

     

    Abstract: To explore a green and efficient double-rice cropping system that simultaneously maintains stable yield, enhances productivity, and improves soil nutrient status, a field experiment was conducted based on a mixed cropping system of Chinese milk vetch and rapeseed. Five nitrogen (N) application rates were established: no N application (CK), conventional N application (150 kg∙hm−2, N1MR), 20% N reduction (120 kg∙hm−2, N2MR), 40% N reduction (90 kg∙hm−2, N3MR), and 60% N reduction (60 kg∙hm−2, N4MR). The effects of different N application rates under green manure mixed sowing on rice yield, dry matter accumulation and partitioning, and soil nutrient characteristics were investigated. The results showed that, compared with the N1MR treatment, the actual yield of early rice under N2MR treatment was significantly increased by 16.1% (P<0.05). In the late rice season, the actual yields under N2MR, N3MR, and N4MR treatments were significantly higher than those under N1MR by 12.5%, 8.3%, and 6.9% (P<0.05), respectively. The total actual yield of the two rice seasons under N2MR treatment reached 14.5 t∙hm−2, which was significantly higher than that under the other treatments by 7.4%−22.9% (P<0.05). In the late rice season, compared with CK treatment, all treatments except N1MR treatment significantly increased dry matter accumulation (DMA) at all growth stages. During the heading−maturity stage, the DMA of early rice under N2MR and N3MR treatments were significantly higher than that under the other treatments, with increases ranging from 21.7% to 151.7% and from 57.9% to 107.0% (P<0.05), respectively. In addition, the DMA of late rice under N2MR treatment was significantly higher than that under CK treatment, with an increase of 40.3% (P<0.05). With respect to soil nutrients, compared with N1MR treatment, soil organic matter content under N2MR treatment was significantly higher at maturity stages for early and late rice by 23.3% and 14.9% (P<0.05), respectively. Compared with N1MR treatment, N4MR treatment significantly increased available potassium content by 109.0%, 57.8%, and 56.9% (P<0.05) at the winter incorporation stage, early rice maturity stage, and late rice maturity stage, respectively. Correlation analysis showed that actual rice yield was significantly positively correlated with soil total nitrogen content, available phosphorus content, and population biomass (P<0.05), and extremely significantly positively correlated with soil organic matter content and effective panicle number (P<0.01), while showing a significant negative correlation with soil pH (P<0.05). Overall, under green manure mixed sowing, a 20% reduction in nitrogen application (N2MR) effectively balanced yield improvement and soil fertility enhancement, representing a sustainable nitrogen management strategy for achieving high yield and high efficiency in double-rice cropping systems.

     

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