Seasonal responses of soil microbial biomass C and enzymatic activity comparing no-tillage and integrated crop-livestock systems

IF 3.7 2区 农林科学 Q1 ECOLOGY European Journal of Soil Biology Pub Date : 2024-05-25 DOI:10.1016/j.ejsobi.2024.103628
Romario Martins Costa , Erica Maria Batista Araujo , Davila Esmelinda Oliveira Silva , Sandra Mara Barbosa Rocha , Aurenivia Bonifacio , Ricardo Silva Sousa , Arthur Prudencio de Araujo Pereira , Erika Valente de Medeiros , Edvaldo Sagrilo , José Oscar Lustosa de Oliveira Junior , Henrique Antunes de Souza , Ademir Sergio Ferreira Araujo
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Abstract

Sustainable agricultural systems, such as integrated crop-livestock (ICL) and no-tillage (NT), aim to sustainably produce crops and livestock while simultaneously conserving soil and its microbial properties, mainly in tropical regions. However, little is known about how microbial properties respond seasonally to management applied in NT and ICL. Thus, this study assessed the seasonal responses of soil microbial biomass C and enzymatic activity comparing both NT and ICL. The experimental area, under a block design with four replicates, with both NT and ICL management, was implemented in December 2022 on Yellow Argisol soil in Maranhao state, Brazil. Soil samples were collected (0–20 cm depth) in March, June, September, December, and March (2023). The results showed an effect size varying between 0.06 and 0.95 for agricultural systems, and 0.63 to 0.95 for sampling time. For the interaction between agricultural systems and sampling time, the effect size was superior to 0.86. NT showed initially higher microbial biomass C (∼50 %), leveling with ICL by the end of the sampling period. Phosphatase and dehydrogenase increased in ICL from March to June (∼200 % and ∼700 % for phosphatase and dehydrogenase, respectively), while fluorescein diacetate hydrolysis fluctuated in NT. Urease was higher (∼100 %) during all sampling times in NT. Linear discriminant analysis revealed distinct responses across sampling times, with a positive effect of pH on enzymatic activity in both systems and soil moisture and P impacting positively on microbial biomass in ICL. Our results revealed significant seasonal responses of soil microbial biomass and enzymatic activity comparing NT and ICL, but with distinct responses to agricultural systems. The study showed seasonal variation of soil microbial biomass and enzymatic activity dependent on the characteristics of NT and ICL. Therefore, understanding these differences helps farmers make better decisions for healthier soil and better crops.

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比较免耕系统和作物-牲畜综合系统的土壤微生物生物量 C 和酶活性的季节反应
可持续农业系统,如作物-牲畜(ICL)和免耕(NT),旨在可持续地生产作物和牲畜,同时保护土壤及其微生物特性,主要是在热带地区。然而,人们对微生物特性如何随季节变化而对免耕和免耕管理做出反应知之甚少。因此,本研究对土壤微生物生物量 C 和酶活性的季节性反应进行了评估,并将其与新技术和 ICL 进行了比较。2022 年 12 月,在巴西马拉尼奥州的黄壤(Yellow Argisol)土壤上进行了试验,试验区采用了四次重复的区组设计,同时采用了近地栽培(NT)和土壤侵蚀(ICL)两种管理方式。分别于 2023 年 3 月、6 月、9 月、12 月和 3 月采集了土壤样本(0-20 厘米深)。结果显示,农业系统的效应大小在 0.06 到 0.95 之间,采样时间的效应大小在 0.63 到 0.95 之间。在农业系统与采样时间的交互作用中,效应大小高于 0.86。新台币最初显示出较高的微生物生物量 C(∼50%),在采样期结束时与 ICL 持平。从 3 月到 6 月,ICL 中的磷酸酶和脱氢酶有所增加(磷酸酶和脱氢酶分别为 200 % 和 700 %),而新界中的荧光素二乙酸酯水解度有所波动。在所有取样时间内,NT 的尿素酶都较高(∼100 %)。线性判别分析揭示了不同取样时间的不同反应,在两个系统中,pH 值对酶活性都有积极影响,而在 ICL 中,土壤湿度和 P 值对微生物生物量有积极影响。我们的研究结果表明,与新界和 ICL 相比,土壤微生物生物量和酶活性具有明显的季节性响应,但对农业系统的响应则截然不同。研究表明,土壤微生物生物量和酶活性的季节性变化取决于新界和 ICL 的特征。因此,了解这些差异有助于农民做出更好的决策,以获得更健康的土壤和更好的作物。
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来源期刊
European Journal of Soil Biology
European Journal of Soil Biology 环境科学-生态学
CiteScore
6.90
自引率
0.00%
发文量
51
审稿时长
27 days
期刊介绍: The European Journal of Soil Biology covers all aspects of soil biology which deal with microbial and faunal ecology and activity in soils, as well as natural ecosystems or biomes connected to ecological interests: biodiversity, biological conservation, adaptation, impact of global changes on soil biodiversity and ecosystem functioning and effects and fate of pollutants as influenced by soil organisms. Different levels in ecosystem structure are taken into account: individuals, populations, communities and ecosystems themselves. At each level, different disciplinary approaches are welcomed: molecular biology, genetics, ecophysiology, ecology, biogeography and landscape ecology.
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