有机小麦农业生态杂草管理理想品种追踪。模拟研究

IF 4.5 1区 农林科学 Q1 AGRONOMY
Pierre Lebreton , Delphine Moreau , Rémi Perronne , Nathalie Colbach
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引用次数: 0

摘要

尽管杂草被认为是有机作物产量损失的主要原因之一,但品种竞争力的培育仍然很少。本研究的目的是利用FlorSys机制作物-杂草模型进行模拟,以确定(1)使有机小麦(Triticum aestivum L.)在有机条件下与杂草更具竞争力的品种内在参数;(2)小麦理想型,即小麦参数值的最佳组合,以最大限度地提高产量、杂草耐受性和杂草抑制能力。FlorSys基于一个基于个体的三维树冠模型,根据种植系统和土壤气候,模拟多年来每天作物杂草种子和植物的动态变化。该模型包括3个冬小麦品种,根据拉丁超立方抽样(LHS)方案,在尊重实际品种参数范围和相关性的基础上,通过随机组合品种参数值,增加了20个虚拟品种。利用另一个LHS计划,进行了全球敏感性分析,将小麦品种、作物轮作和管理技术结合在2800种对比有机种植系统(例如,下种三叶草、免耕、杂草类型)和400种传统系统中。单品种平均产量潜力与杂草存在时的产量高度相关(R²= 0.79),但与杂草耐受性相关性较弱,即与杂草造成的产量损失相反(R²= 0.10)。分类回归树(CART)确定了影响潜在产量和对杂草竞争能力的参数(特别是出苗期前幼苗损失低、出苗期后生长速度快、开花时间晚)及其组合。如果作物出苗后氮素和水分不受限制,则较晚开花、较晚粒熟和较晚耐寒与早期高覆盖和均匀建植相结合的理想型(可能不利于根系发育)是最相关的。如果作物建立过晚和/或不令人满意,则必须采用均匀高的冠层,其厚重的植株具有较高的收获指数。主要依靠机械除草或除草剂的免耕/低耕系统需要叶片小/厚、单位生物量小的早熟品种,以限制除草工具对作物的损害,并提高除草剂对冠层的渗透。这些结果为育种者和农民在农业生态种植系统中选育和选择小麦品种提供了建议,旨在通过生物相互作用更好地调节杂草。需要进一步的研究将模型参数与育种计划中可以常规测量的变量联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking ideal varieties for agroecological weed management in organic wheat. A simulation study
Even though weeds are recognized as one of the main causes of yield losses in organic crop production, breeding for varietal competitiveness is still rare. The objective of the present study was to run simulations with the mechanistic crop-weed model FlorSys to identify (1) variety-intrinsic parameters that make organic wheat (Triticum aestivum L.) more competitive against weeds in organic conditions, and (2) wheat ideotypes, i.e., optimal combinations of wheat-parameter values to maximise yield, weed tolerance and weed suppression. FlorSys is based on an individual-based 3D canopy model, simulating daily crop-weed seed and plant dynamics over the years, depending on the cropping system and pedoclimate. The model includes three winter wheat varieties, and 20 virtual varieties were added by randomly combining variety-parameter values according to a Latin Hypercube Sampling (LHS) plan, respecting parameter ranges and correlations observed in the actual varieties. A global sensitivity analysis was run, using another LHS plan to combine wheat varieties, crop rotations and management techniques in 2800 contrasting organic cropping systems (e.g., undersowing with clover, no-till, type of weed flora) and 400 conventional systems. Average yield potential per variety was highly correlated to yield in the presence of weeds (R² = 0.79) but only slightly to weed tolerance, i.e., the opposite of yield loss due to weeds (R² = 0.10). Classification and regression trees (CART) identified parameters (notably, low pre-emergent seedling loss, fast post-emergence growth rate, late flowering) and their combinations that drive potential yield and competitiveness against weeds. If nitrogen and water were non-limiting after crop emergence, ideotypes that combine late flowering, late grain maturity and winter hardiness with early highly covering and homogeneous plant establishment, possibly to the detriment of root development, were the most relevant. If crop establishment was too late and/or unsatisfactory, a homogeneously tall canopy whose heavy plants presented a high harvest index was essential. No/low-till systems that rely primarily on mechanical weeding or herbicides needed early-emerging varieties with small/thick leaves and small plants per unit biomass to limit crop damage by weeding tools and improve herbicide penetration into the canopy, respectively. These results are suggestions for breeders and farmers to breed and choose wheat varieties for agroecological cropping systems aiming to better regulate weeds by biological interactions. Further research is needed to link model parameters to variables that could be measured routinely during breeding schemes.
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来源期刊
European Journal of Agronomy
European Journal of Agronomy 农林科学-农艺学
CiteScore
8.30
自引率
7.70%
发文量
187
审稿时长
4.5 months
期刊介绍: The European Journal of Agronomy, the official journal of the European Society for Agronomy, publishes original research papers reporting experimental and theoretical contributions to field-based agronomy and crop science. The journal will consider research at the field level for agricultural, horticultural and tree crops, that uses comprehensive and explanatory approaches. The EJA covers the following topics: crop physiology crop production and management including irrigation, fertilization and soil management agroclimatology and modelling plant-soil relationships crop quality and post-harvest physiology farming and cropping systems agroecosystems and the environment crop-weed interactions and management organic farming horticultural crops papers from the European Society for Agronomy bi-annual meetings In determining the suitability of submitted articles for publication, particular scrutiny is placed on the degree of novelty and significance of the research and the extent to which it adds to existing knowledge in agronomy.
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