Suppr超能文献

土壤酶活性:气候智能型农业对印度西北部谷类种植系统下根际土壤和原状土壤的影响

Soil enzymes activity: Effect of climate smart agriculture on rhizosphere and bulk soil under cereal based systems of north-west India.

作者信息

Jat H S, Datta Ashim, Choudhary Madhu, Sharma P C, Dixit Bharti, Jat M L

机构信息

ICAR-Central Soil Salinity Research Institute (CSSRI), Karnal, Haryana, India.

International Maize and Wheat Improvement Center (CIMMYT), New Delhi, India.

出版信息

Eur J Soil Biol. 2021 Mar-Apr;103:103292. doi: 10.1016/j.ejsobi.2021.103292.

Abstract

In agriculture production system, soil enzymes are important indicators of soil quality. Measurements of soil quality parameter changes are essential for assessing the impact of soil and crop management practices. Keeping this in view, an experiment was conducted to evaluate the enzyme activities namely dehydrogenase (DHA), β-glucosidase, acid and alkaline phosphatase ( & ), fluorescein diacetate hydrolases (FDH), cellulase, urease and aryl sulphatase in rhizosphere and bulk soil after 8 years of different management regimes. Soil organic carbon (SOC), moisture content and few enzyme indices such as enzymatic pH indicator (), alteration index three () and geometric mean () were also measured. The treatments were conventional rice-wheat system (termed as scenario (Sc1), CT system), partial conservation agriculture (CA)-based rice-wheat-mungbean system (Sc2, PCA-RW), partial climate smart agriculture (CSA)-based rice-wheat-mungbean system (Sc3), partial CSA-based maize-wheat-mungbean system (Sc4), full CSA-based rice-wheat-mungbean system (Sc5), and full CSA-based maize-wheat-mungbean system (Sc6). Soil samples were collected from rhizosphere and away from roots (bulk soil) at 0-15 cm soil depth before sowing (from rhizosphere of previous crops), at maximum tillering, flowering, and after harvesting of wheat crop. Results showed that DHA activity was higher before sowing (59.8%), at maximum tillering (48.4%), flowering (8.6%) and after harvesting (19.1%) in rice based CSA systems (mean of Sc3 and Sc5) over maize based CSA systems (mean of Sc4 and Sc6) in rhizospheric soil. On average, β-glucosidase activity was significantly higher in rhizospheric soils of rice based system over maize based CSA system. Before sowing of wheat, significantly higher (21.4%) acid phosphatase activity was observed in rhizosphere over bulk soils of maize based CSA system. Significantly higher alkaline phosphatase activity was observed before sowing of wheat in bulk soils of rice (25.3%) and maize (38.5%) based CSA systems over rhizospheric soils. Rice based CSA systems showed 27% higher FDH activity than maize based systems. Significant interaction effect was observed between the managements and enzymes. SOC played an important role in regulating the enzymes activity both in rhizosphere and bulk soil. Significant variation in , and was observed among the managements. Therefore, CSA managements are beneficial in improving enzyme activities not only in rhizosphere but also in bulk soil where residues are retained thereby may help in improving nutrient cycling.

摘要

在农业生产系统中,土壤酶是土壤质量的重要指标。测量土壤质量参数的变化对于评估土壤和作物管理措施的影响至关重要。鉴于此,开展了一项实验,以评估在8年不同管理模式后根际土壤和非根际土壤中脱氢酶(DHA)、β-葡萄糖苷酶、酸性和碱性磷酸酶(&)、荧光素二乙酸酯水解酶(FDH)、纤维素酶、脲酶和芳基硫酸酯酶的活性。还测量了土壤有机碳(SOC)、含水量以及一些酶指标,如酶促pH指示剂()、变化指数三()和几何平均值()。处理方式包括传统稻麦系统(称为情景(Sc1),CT系统)、基于部分保护性农业(CA)的稻麦绿豆系统(Sc2,PCA-RW)、基于部分气候智能农业(CSA)的稻麦绿豆系统(Sc3)、基于部分CSA的玉米小麦绿豆系统(Sc4)、完全基于CSA的稻麦绿豆系统(Sc5)以及完全基于CSA的玉米小麦绿豆系统(Sc6)。在播种前(从前茬作物的根际采集)、最大分蘖期、开花期以及小麦收获后,从0-15厘米土壤深度的根际和远离根系的土壤(非根际土壤)中采集土壤样本。结果表明,在根际土壤中,基于水稻的CSA系统(Sc3和Sc5的平均值)的DHA活性在播种前(59.8%)、最大分蘖期(48.4%)、开花期(8.6%)和收获后(19.1%)高于基于玉米的CSA系统(Sc4和Sc6的平均值)。平均而言,基于水稻的系统根际土壤中的β-葡萄糖苷酶活性显著高于基于玉米的CSA系统。在小麦播种前,基于玉米的CSA系统的根际土壤中酸性磷酸酶活性显著高于非根际土壤(21.4%)。在小麦播种前,基于水稻(25.3%)和玉米(38.5%)的CSA系统的非根际土壤中碱性磷酸酶活性显著高于根际土壤。基于水稻的CSA系统的FDH活性比基于玉米的系统高27%。在管理措施和酶之间观察到显著的交互作用。SOC在调节根际和非根际土壤中的酶活性方面发挥着重要作用。在不同管理措施之间观察到、和的显著差异。因此,CSA管理措施不仅有利于提高根际土壤中的酶活性,也有利于提高非根际土壤中的酶活性,在非根际土壤中残留物质得以保留,从而可能有助于改善养分循环。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ed/7977442/266d5f00ee01/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验