Fine root production and decomposition of integrated plants under intensified farming systems in Brazil

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Wanderlei Bieluczyk , Marisa de Cássia Piccolo , João Vitor Matos Gonçalves , Marcos Gervasio Pereira , George Rodrigues Lambais , Plínio Barbosa de Camargo , Tiago Rodrigues Tavares , Amandine Germon , Cristiam Bosi , Alberto Carlos de Campos Bernardi , José Ricardo Macedo Pezzopane , Maurício Roberto Cherubin , Moacir Tuzzin de Moraes
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引用次数: 0

Abstract

To ensure food security, foster agri-environmental sustainability, and prevent agricultural expansion into preserved areas, it is imperative to intensify plus diversify agriculture within integrated farming systems in the coming decades. Maximizing productivity and carbon sequestration through such systems demands understanding below-ground interactions and further research into plant root dynamics, which have often been neglected or overlooked. This study examined the effects of integrated farming systems, specifically crop-livestock and crop-livestock-forestry, on fine-root dynamics of crops and pastures (i.e., herbaceous plants). Using an extensive grazing pasture as a control, and intensification through crop-livestock and crop-livestock-forestry, we aimed to evaluate if integrated systems (i) enhance herbaceous root growth and necromass addition, and (ii) accelerate root turnover. We also investigated whether multiple linear regression modeling could predict root production and decomposition using the edaphoclimatic variables monitored in the areas. Herbaceous fine-root dynamics were observed over two years using the minirhizotron technique. Installation involved five 70 cm-deep acrylic tubes in extensive grazing and crop-livestock and fifteen in crop-livestock-forestry (1.9, 4.3, and 7.5m tree inter-row distances). In integrated systems, annual corn cropping was succeeded by grazing on a palisadegrass pasture. The trial measured eight additional soil and climatic parameters for a regression model using a stepwise selection procedure, including average soil temperature, photosynthetically active radiation, available soil water, soil bulk density, soil pH, available soil phosphorus, the sum of soil bases, and cation exchange capacity. Extensive grazing accumulated 124.8 m m−2 of roots, constituting 48% of crop-livestock (259.7 m m−2) and 66% of crop-livestock-forestry (189.5 m m−2). Root growth near Eucalyptus trees was reduced by 51% compared to crop-livestock. Root turnover followed the order of extensive grazing < crop-livestock < crop-livestock-forestry. The peak daily root productivity was from 31 to 80 days of the crop cycle when corn was intercropped with palisade grass in the integrated systems. Multiple regression models were superior for predicting root decomposition, reaching adjusted R2 values of 0.81 and 0.71 for crop and pasture cycles, but were ineffective for root growth (R2 < 0.25). Therefore, additional parameters are needed to fit the root growth accurately. We conclude that integrated farming enhances fine-root production and root necromass accrual, accelerating root cycling compared to extensive pasture. However, as introducing Eucalyptus in crop-livestock impairs herbaceous root development near trees, we recommend adjusting tree density and inter-row spaces to alleviate these adverse effects, especially for annual crop cultivations.

巴西强化耕作制度下综合植物细根的产生和分解
为确保粮食安全,促进农业环境的可持续性,防止农业向保护区扩张,在未来几十年内,必须在综合耕作系统内实现农业的集约化和多样化。要通过这种系统最大限度地提高生产力和固碳效果,就必须了解地下的相互作用,并进一步研究植物根系的动态,而这些往往被忽视或忽略。本研究考察了综合耕作系统,特别是作物-畜牧业和作物-畜牧业-林业对作物和牧草(即草本植物)细根动力学的影响。我们以大面积放牧的牧场为对照,通过作物-畜牧业和作物-畜牧业-林业的集约化耕作,旨在评估综合耕作体系是否(i)促进草本植物根系的生长和新陈代谢,以及(ii)加速根系的新陈代谢。我们还研究了多元线性回归模型能否利用在这些地区监测到的气候变量预测根系的生产和分解。使用微型根瘤技术对草本植物细根的动态进行了两年的观察。在大面积放牧和作物-畜牧业中安装了 5 个 70 厘米深的丙烯酸管,在作物-畜牧业-林业中安装了 15 个丙烯酸管(树间距分别为 1.9 米、4.3 米和 7.5 米)。在综合系统中,一年一季的玉米种植由棕榈草牧场接替。试验采用逐步选择程序,为回归模型测量了另外八个土壤和气候参数,包括平均土壤温度、光合有效辐射、可用土壤水、土壤容重、土壤 pH 值、可用土壤磷、土壤碱度总和和阳离子交换容量。大面积放牧积累了 124.8 m m-2 的根系,占作物-牲畜(259.7 m m-2)的 48%,占作物-牲畜-林业(189.5 m m-2)的 66%。与作物-畜牧业相比,桉树附近的根系生长减少了 51%。根系周转率依次为大面积放牧、农作物-牲畜、农作物-牲畜-林业。在综合系统中,玉米与宫粉草间作时,作物周期的 31 至 80 天是根系日生产力的高峰期。多元回归模型在预测根系分解方面效果较好,作物和牧草周期的调整 R2 值分别为 0.81 和 0.71,但对根系生长的预测效果不佳(R2 为 0.25)。因此,需要额外的参数来准确拟合根系生长。我们的结论是,与大面积放牧相比,综合耕作能提高细根产量和根系坏死累积量,加速根系循环。然而,由于在作物-牲畜栽培中引入桉树会影响树木附近的草本根系发育,我们建议调整树木密度和行间距,以减轻这些不利影响,尤其是对于一年生作物栽培。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.20
自引率
4.30%
发文量
567
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