结合田间试验和文献,建立因耕作而破碎的多年生贮藏器官的再生概率模型:Cirsium arvense (L.) Scop 的案例研究

IF 6.1 1区 农林科学 Q1 SOIL SCIENCE
Solèmne Skorupinski , Hugues Busset , Jacques Caneill , Delphine Moreau , Brice Mosa , Eugène Motton , Nathalie Colbach
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引用次数: 0

摘要

随着除草剂用量的减少,多年生杂草的管理变得越来越困难。多年生匍匐杂草在专门的地下器官中积累了储量,在受到干扰后会从这些储量中再生出新的植株。通过选择工具,可以优化耕作操作,以减少多年生杂草的储量并限制其再生。本研究分析了五种工具对加拿大蓟(Cirsium arvense (L.) Scop.)匍匐根破碎的影响,加拿大蓟是一种主要的多年生耕地杂草。田间试验的目的是测量耕作后留下的根碎片的长度。试验使用了五种工具:模板犁、旋耕耙、圆盘耙、硬齿犁和鹅脚犁。碎片长度分布因工具而异:旋耕耙留下的碎片最小(平均 3.7 厘米),碎片长度变化最小;模板犁留下的碎片最长(12.7 厘米),碎片长度变化最大。其他工具则产生中等大小的碎片(8-10 厘米)。根据这些结果和文献,提出了一个模型,用于预测一次耕作后储藏器官碎片再生多年生杂草的概率。通过敏感性分析,测试了农艺(耕作工具)、环境(土壤条件和温度)和生物(贮藏器官碎片直径、地下最大芽长度和耕作前贮藏器官分布)等六个因素的影响。根据该模型,旋耕耙的碎片再生成功概率低于模板犁。片段再生成功的最重要驱动因素是生物特征:单位片段生物量的片段直径和最大地下芽长度。本模型应加以补充,以预测耕作对多年生杂草再生的影响,并帮助改进非化学杂草管理策略。为此,需要进一步研究植物从贮藏器官再生的潜力及其在土壤中的结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining a field experiment and literature to model the regrowth probability of perennial storage organs fragmented by tillage: Case study of Cirsium arvense (L.) Scop

Management of perennial weeds has become increasingly difficult with the reduction of herbicide use. Creeping perennials accumulate reserves in specialized belowground organs from which they regenerate new plants after a disturbance. Through tool selection, tillage operations could be optimized to reduce perennial-weed reserves and limit regeneration. In the present study, the effect of five tools on the fragmentation of the creeping roots of Cirsium arvense (L.) Scop. (Canada thistle), a major perennial weed in arable crops, were analysed. A field trial was set up to measure the lengths of the root fragments left after tillage. Five tools were tested: mouldboard ploughing, rotary harrow, disc harrow, rigid-tine cultivator and goose-foot cultivator. Fragment-length distribution varied according to the tool: rotary harrow left the smallest (3.7 cm on average) and least variable fragment lengths, mouldboard ploughing the longest (12.7 cm) and most variable ones. The other tools produced intermediate-sized fragments (8–10 cm). Based on these results and literature, a model was proposed to predict perennial-weed regeneration probability from storage-organ fragments after one tillage run. The effects of six factors, which were agronomic (tillage tool), environmental (soil conditions and temperature) and biological (storage-organ fragment diameter, maximal belowground-shoot length and pre-tillage storage-organ distribution), were tested through a sensitivity analysis. According to the model, the probability of fragment regeneration success is lower for the rotary harrow than for the mouldboard plough. The most important drivers of fragment regeneration success were the biological traits: fragment diameter and maximal belowground-shoot length per unit fragment biomass. The present model should be complemented to predict the effect of tillage on perennial-weed regrowth and help improving non-chemical weed-management strategies. To achieve this, further research is needed on plant regrowth potential from storage organs and their architecture in the soil.

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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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