Impact of different tillage on soil health: enhancement of enzymatic activities and functional microbial communities in accelerating maize straw degradation

IF 6.4 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Houping Zhang , Miao Li , Huifeng Ye , Yuanpeng Zhu , Yuanbo Zhang , Qinge Dong , Weiyan Wang , Hao Feng , Xiaoxia Wen
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引用次数: 0

Abstract

Straw return to the field is an effective agricultural practice for improving soil fertility and productivity by increasing soil organic matter and enhancing soil structure. However, in wheat-maize rotations, the slow degradation of maize straw severely affects wheat emergence quality and seedling growth, emphasizing the need to understand and regulate key mechanisms driving straw degradation. This study evaluated soil properties, straw chemical structure, extracellular enzyme activity, microbial community composition, and functional genes during the straw degradation process under three tillage practices: zero tillage (ZT), chisel plough tillage (CPT), and plow tillage (PT). The results showed that CPT had the most significant effect on promoting straw degradation, with the lowest straw residue rate of 42.24 % after 220 days of degradation. CPT treatment also has a significant effect on the early degradation of unstable carbon structures, such as O-alkyl C and di-O-alkyl C. The fungal community diversity index increased at 220 days of degradation, with the fungal Shannon index under ZT and CPT significantly increasing by 29.79 % and 10.99 % compared to PT. Actinomycetia was the dominant phylum involved in straw degradation under all three tillage practices, and ZT significantly increased its abundance by 5.55 % compared to PT. In addition, Actinomycetia was also recognized as a dominant phylum for the production of six extracellular enzymes such as β-glucosidase, N-acetyl-glucosaminidase, leucine aminopeptidase, etc. The abundance of functional genes involved in degrading mono- and polysaccharides was higher than that of other functional genes. Hemicellulose and Chitin functional genes abundance was increased by 5.98 % and 5.97 % under CPT compared to PT. Regression analysis revealed a positive correlation between the abundance of the dominant phylum Actinobacteria and alkyl C, but a negative correlation with aryl C and phenolic C. In contrast, Proteobacteria exhibited the opposite pattern. Partial least squares path modeling indicated that enzyme activity showed the largest positive direct effect on straw degradation. CPT reduces tillage intensity to indirectly enhance microbial phylum abundance and enzyme activities, and accelerate the process of straw degradation. This study elucidates the microbial and enzyme-mediated regulatory mechanisms of conservation tillage on maize straw degradation, providing a scientific basis for its broader application in agricultural production.
不同耕作方式对土壤健康的影响:促进玉米秸秆降解的酶活性和功能微生物群落的增强
秸秆还田是通过增加土壤有机质和改善土壤结构来提高土壤肥力和生产力的有效农业实践。然而,在小麦-玉米轮作中,玉米秸秆的缓慢降解严重影响小麦出苗期质量和幼苗生长,因此需要了解和调控秸秆降解的关键机制。研究了免耕(ZT)、凿耕(CPT)和犁耕(PT)三种耕作方式下秸秆降解过程中的土壤性质、秸秆化学结构、胞外酶活性、微生物群落组成和功能基因。结果表明,CPT促进秸秆降解效果最显著,降解220 d后秸秆残率最低,为42.24 %。CPT处理对o -烷基C和二o -烷基C等不稳定碳结构的早期降解也有显著影响。在降解220 d时,真菌群落多样性指数有所增加,其中ZT和CPT处理的真菌Shannon指数较PT处理分别显著提高了29.79 %和10.99 %。与PT相比,ZT的丰度显著提高了5.55 %。此外,放线菌还被认为是产生β-葡萄糖苷酶、n -乙酰氨基葡萄糖苷酶、亮氨酸氨基肽酶等6种细胞外酶的优势门。参与降解单糖和多糖的功能基因丰度高于其他功能基因。半纤维素和几丁质功能基因的丰度与对照分别提高了5.98 %和5.97 %。回归分析显示,优势门放线菌门的丰度与烷基C呈正相关,与芳基C和酚C呈负相关,而变形菌门的丰度则相反。偏最小二乘路径模型表明,酶活性对秸秆降解的直接正向影响最大。CPT降低了耕作强度,间接提高了微生物门丰度和酶活性,加速了秸秆的降解过程。本研究阐明了保护性耕作对玉米秸秆降解的微生物和酶的调控机制,为其在农业生产中的广泛应用提供了科学依据。
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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