在功能多样性管理下的农牧一体化系统中沙土的空间变异与微生物和结构质量

IF 6.8 1区 农林科学 Q1 SOIL SCIENCE
Laércio Santos Silva , Andrielly Beatriz Freitas da Silva , Maísa Rosa Tosin , Emilio Carlos de Azevedo , Mateus Rosas Ribeiro Filho , Edivan Rodrigues de Souza , Milton César Costa Campos , Raphael Moreira Beirigo , Romário Pimenta Gomes , Izabela Aline Gomes da Silva , Paulo César de Faccio Carvalho , Edicarlos Damacena de Souza
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引用次数: 0

摘要

管理功能多样性(MFD),无论是否放牧,都在保护性农业中发挥着根本作用。但其对土壤物理、生物质量和作物生产力空间变异的影响尚不清楚。因此,了解这些关系对于制定更有效和可持续的管理策略至关重要,特别是在沙质土壤中。目的是调查在空间变异背景下作为土壤质量决定因素的五个MFD水平对巴西马托格罗索州Cerrado砂质土壤中大豆(Glycine max)和棉花(Gossypium hirsutum)生产的影响。在覆盖整个农田区域的网格中,共记录了60个土壤样品(0-20 cm)的MFD水平:极低(VL)、低(LW)、平均(AVG)、长期平均(AVL)和高(ICLS)。分别对2017年和2020年的土壤性质和作物产量进行了评价,并采用经典统计学和地统计学方法,通过构造半变方差和克里格估计的二维制图对结果进行了分析。MFD影响土壤团聚体微生物指标和加权平均粒径,对土壤总有机碳(TOC)无显著影响。微生物胁迫的增加表明,非常低的MFD是一种效率低下和不可持续的作物生产农艺模式。高MFD可使大豆产量提高20 %,棉花产量提高60 %,这与微生物丰度(微生物生物量C和N比值R2>; 0.50)和土壤MWD (R2> 0.60)的提高有直接关系。MFD对微生物生物量C和N、微生物商和MWD的空间变异性较强,对作物产量的空间变异性较弱。在最短有效范围(a)下,大豆产量(a = 40 m)和SBR (a = 61 m)对MFD干扰更敏感,在更短的距离上表现出更大的空间变异性。高MFD被证明是巴西塞拉多地区加强作物生产和提高沙质土壤微生物和物理质量的有效策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial variability and microbiological and structural quality in sandy soil under managed functional diversity in integrated crop-livestock systems
Managed functional diversity (MFD), with or without grazing, plays a fundamental role in conservation agriculture. However, its effects on the spatial variability of soil physical and biological quality and crop productivity remain unclear. Therefore, understanding these relationships is essential to inform more efficient and sustainable management strategies, especially in sandy soils. The objective was to investigate the impact of five MFD levels, acting as determinants of soil quality in a context of spatial variability, on soybean (Glycine max) and cotton (Gossypium hirsutum) production in sandy soils of the Cerrado, in Mato Grosso, Brazil. A total of 60 soil samples (0–20 cm), georeferenced, in a grid covering the whole field area, were recorded at MFD levels: very low (VL), low (LW), average (AVG), long-term average (AVL) and high (ICLS). The soil properties and crop yield were assessed in 2017 and 2020, respectively, and results were analyzed using classic statistics and geostatistics by constructing semivariograms and 2D mapping by kriging estimation. The MFD affected microbiological indicators and weighted mean diameter of soil aggregates (MWD), without significant changes in total organic carbon (TOC) of soil. The rise in microbiological stress suggests that a very low MFD is an inefficient and unsustainable agronomic model for crop production. High MFD in ICLS increased soybean productivity by 20 % and cotton productivity by 60 %, which was directly related to improvements in microbiological abundance (C and N of microbial biomass: R2 > 0.50) and the soil MWD (R2 > 0.60). The MFD induced strong spatial variability for microbial biomass C and N, microbial quotient and MWD and moderate for crop yield. With the shortest effective ranges (a), soybean yield (a = 40 m) and SBR (a = 61 m) were more sensitive to MFD disturbances, exhibiting greater spatial variability at shorter distances. High MFD proved to be an efficient and valid strategy to intensify crop production and increase the microbiological and physical quality of sandy soil in the Brazilian Cerrado.
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来源期刊
Soil & Tillage Research
Soil & Tillage Research 农林科学-土壤科学
CiteScore
13.00
自引率
6.20%
发文量
266
审稿时长
5 months
期刊介绍: Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.
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