Yu Lihong, Li Duo, Zhang Yifei, Wang Yufeng, Yao Qin, Yang Kejun
Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm, College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, China.
Daqing Agricultural Technology Extension Center, Daqing, China.
Front Microbiol. 2024 Jun 19;15:1358582. doi: 10.3389/fmicb.2024.1358582. eCollection 2024.
Under a full straw returning system, the relationship between soil bacterial community diversity and straw decomposition, yield, and the combined application of slow-release nitrogen and urea remains unclear. To evaluate these effects and provide an effective strategy for sustainable agricultural production, a 2-year field positioning trial was conducted using maize as the research object. Six experimental treatments were set up: straw returning + no nitrogen fertilizer (S1N0), straw returning + slow-release nitrogen fertilizer:urea = 0:100% (S1N1), straw returning + slow-release nitrogen fertilizer:urea = 30%:70% (S1N2), straw returning + slow-release nitrogen fertilizer:urea = 60%:40% (S1N3), straw returning + slow-release nitrogen fertilizer:urea = 90%:10% (S1N4), and straw removal + slow-release nitrogen fertilizer:urea = 30%:70% (S0N2). Significant differences ( < 0.05) were observed between treatments for Proteobacteria, Acidobacteriota, Myxococcota, and Actinobacteriota at the jointing stage; Proteobacteria, Acidobacteriota, Myxococcota, Bacteroidota, and Gemmatimonadota at the tasseling stage; and Bacteroidota, Firmicutes, Myxococcota, Methylomirabilota, and Proteobacteria at the maturity stage. The alpha diversity analysis of the soil bacterial community showed that the number of operational taxonomic units (OTUs) and the Chao1 index were higher in S1N2, S1N3, and S1N4 compared with S0N2 at each growth stage. Additionally, the alpha diversity measures were higher in S1N3 and S1N4 compared with S1N2. The beta diversity analysis of the soil bacterial community showed that the bacterial communities in S1N3 and S1N4 were more similar or closely clustered together, while S0N2 was further from all treatments across the three growth stages. The cumulative straw decomposition rate was tested for each treatment, and data showed that S1N3 (90.58%) had the highest decomposition rate. At the phylum level, straw decomposition was positively correlated with Proteobacteria, Actinobacteriota, Myxococcota, and Bacteroidota but significantly negatively correlated with Acidobacteriota. PICRUSt2 function prediction results show that the relative abundance of bacteria in soil samples from each treatment differed significantly. The maize yield of S1N3 was 15597.85 ± 1477.17 kg/hm, which was 12.80 and 4.18% higher than that of S1N1 and S0N2, respectively. In conclusion, a combination of slow-release nitrogen fertilizer and urea can enhance the straw decomposition rate and maize yield by improving the soil bacterial community and structure within a full straw returning system.
在全量秸秆还田系统下,土壤细菌群落多样性与秸秆分解、产量以及缓释氮肥与尿素配施之间的关系尚不清楚。为评估这些影响并为可持续农业生产提供有效策略,以玉米为研究对象进行了为期2年的田间定位试验。设置了6个试验处理:秸秆还田+不施氮肥(S1N0)、秸秆还田+缓释氮肥∶尿素=0∶100%(S1N1)、秸秆还田+缓释氮肥∶尿素=30%∶70%(S1N2)、秸秆还田+缓释氮肥∶尿素=60%∶40%(S1N3)、秸秆还田+缓释氮肥∶尿素=90%∶10%(S1N4)以及秸秆移除+缓释氮肥∶尿素=30%∶70%(S0N2)。在拔节期,不同处理间变形菌门、酸杆菌门、粘球菌门和放线菌门存在显著差异(P<0.05);在抽雄期,变形菌门、酸杆菌门、粘球菌门、拟杆菌门和芽单胞菌门存在显著差异;在成熟期,拟杆菌门、厚壁菌门、粘球菌门、甲基微菌门和变形菌门存在显著差异。土壤细菌群落的α多样性分析表明,在各生长阶段,S1N2、S1N3和S1N4的可操作分类单元(OTU)数量和Chao1指数均高于S0N2。此外,S1N3和S1N4的α多样性指标高于S1N2。土壤细菌群落的β多样性分析表明,S1N3和S1N4中的细菌群落更相似或紧密聚集在一起,而S0N2在三个生长阶段均与所有处理距离较远。对各处理的秸秆累积分解率进行了测试,数据表明S1N3(90.58%)的分解率最高。在门水平上,秸秆分解与变形菌门、放线菌门、粘球菌门和拟杆菌门呈正相关,但与酸杆菌门呈显著负相关。PICRUSt2功能预测结果表明,各处理土壤样品中细菌的相对丰度存在显著差异。S1N3的玉米产量为15597.85±1477.17 kg/hm,分别比S1N1和S0N2高12.80%和4.18%。综上所述,在全量秸秆还田系统中,缓释氮肥与尿素配施可通过改善土壤细菌群落和结构来提高秸秆分解率和玉米产量。