Soil capacity to biomass production in sandy loam soils following cover crop farming systems in tropical conditions in the Northeast region of Brazil

IF 1.2 4区 农林科学 Q4 SOIL SCIENCE
Soil Research Pub Date : 2024-08-08 DOI:10.1071/sr23045
G. S. Nascimento, Tancredo Souza, L. J. R. da Silva, Djail Santos
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Abstract

Context Soil capacity to biomass production (SC) sheds light on soil health and its capacity to sustain high primary production. However, the currently existing models are based on rather local data, and thus there is a lack of predictive tools to monitor SC. Aims Our aim was to assess the influence of cover crops on soil chemical properties by considering their different behaviours (biomass production and root density). Methods We characterised soil chemical properties, and plant biomass production during 6 years in field conditions at a tropical soil. Key results Our findings suggest that: (1) green manure practice improved Ca2+, K+, and soil organic carbon (SOC) stock, but none of the studied cover crops were able to improve soil P content; and (2) we found three groups of green manure by considering the SC reduction, namely G1 (low SC reduction) that comprises Crotalaria ochroleuca and Neonotonia wightii, G2 (medium SC reduction) that comprises Brachiaria decumbens, Pennisetum glaucum, and Crotalaria juncea, and G3 (high SC reduction) that comprises Mucuna pruriens, Canavalia ensiformis, Crotalaria spectabilis, Dolichos lablab, and Stizolobium aterrimum. Conclusion We concluded that after 3 years during which soil parameters and the production of most, but not all, cover crops have increased, the deficiency in P did not allow plants to grow well anymore. Implications This study highlights the importance to consider predictive models as a tool to be used in soil management. Our study also provides a deeper view about the use of green manure and their influence on soil capacity to biomass production.
巴西东北部热带地区采用覆盖作物耕作制度后沙壤土产生生物量的土壤能力
背景 土壤产生生物量的能力(SC)揭示了土壤健康状况及其维持高初级生产力的能力。然而,现有的模型都是基于本地数据,因此缺乏监测土壤生物量生产的预测工具。目的 我们的目的是通过考虑覆盖作物的不同行为(生物量生产和根系密度),评估覆盖作物对土壤化学性质的影响。方法 我们在热带土壤的田间条件下对土壤化学性质和植物生物量产量进行了 6 年的表征。主要结果 我们的研究结果表明(1) 绿肥实践改善了 Ca2+、K+ 和土壤有机碳(SOC)含量,但所研究的覆盖作物都无法改善土壤中的 P 含量;(2) 我们发现绿肥有三个组别,即由 Crotalaria ochroleuca 和 Neonotonia wightii 组成的 G1 组(低 SC 减量)、由 Brachiaria decumbens、Pennisetum glaucum 和 Crotalaria juncea 组成的 G2 组(中 SC 减量)和由 Mucuna pruriens、Canavalia ensiformis、Crotalaria spectabilis、Dolichos lablab 和 Stizolobium aterrimum 组成的 G3 组(高 SC 减量)。结论 我们得出的结论是,经过 3 年的时间,土壤参数和大多数(但不是所有)覆盖作物的产量都有所提高,但钾的缺乏使植物无法再生长良好。意义 本研究强调了将预测模型作为土壤管理工具的重要性。我们的研究还深入探讨了绿肥的使用及其对土壤生产生物质能力的影响。
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来源期刊
Soil Research
Soil Research SOIL SCIENCE-
CiteScore
3.20
自引率
6.20%
发文量
35
审稿时长
4.5 months
期刊介绍: Soil Research (formerly known as Australian Journal of Soil Research) is an international journal that aims to rapidly publish high-quality, novel research about fundamental and applied aspects of soil science. As well as publishing in traditional aspects of soil biology, soil physics and soil chemistry across terrestrial ecosystems, the journal welcomes manuscripts dealing with wider interactions of soils with the environment. Soil Research is published with the endorsement of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Australian Academy of Science.
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