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在美国密歇根州的一项长期实验中,杂草多样性对大豆和玉米产量产生影响。

Weed Diversity Affects Soybean and Maize Yield in a Long Term Experiment in Michigan, USA.

作者信息

Ferrero Rosana, Lima Mauricio, Davis Adam S, Gonzalez-Andujar Jose L

机构信息

Departamento Protección de Cultivos, Instituto de Agricultura Sostenible, Consejo Superior de Investigaciones CientíficasCórdoba, Spain; Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de ChileSantiago, Chile.

Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de ChileSantiago, Chile; Facultad de Ciencias Biológicas, Pontificia Universidad Católica de ChileSantiago, Chile; Laboratorio Internacional de Cambio Global, (CSIC-PUC)Santiago, Chile.

出版信息

Front Plant Sci. 2017 Feb 24;8:236. doi: 10.3389/fpls.2017.00236. eCollection 2017.

DOI:10.3389/fpls.2017.00236
PMID:28286509
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5323402/
Abstract

Managing production environments in ways that promote weed community diversity may enhance both crop production and the development of a more sustainable agriculture. This study analyzed data of productivity of maize (corn) and soybean in plots in the Main Cropping System Experiment (MCSE) at the W. K. Kellogg Biological Station Long-Term Ecological Research (KBS-LTER) in Michigan, USA, from 1996 to 2011. We used models derived from population ecology to explore how weed diversity, temperature, and precipitation interact with crop yields. Using three types of models that considered internal and external (climate and weeds) factors, with additive or non-linear variants, we found that changes in weed diversity were associated with changes in rates of crop yield increase over time for both maize and soybeans. The intrinsic capacity for soybean yield increase in response to the environment was greater under more diverse weed communities. Soybean production risks were greatest in the least weed diverse systems, in which each weed species lost was associated with progressively greater crop yield losses. Managing for weed community diversity, while suppressing dominant, highly competitive weeds, may be a helpful strategy for supporting long term increases in soybean productivity. In maize, there was a negative and non-additive response of yields to the interaction between weed diversity and minimum air temperatures. When cold temperatures constrained potential maize productivity through limited resources, negative interactions with weed diversity became more pronounced. We suggest that: (1) maize was less competitive in cold years allowing higher weed diversity and the dominance of some weed species; or (2) that cold years resulted in increased weed richness and prevalence of competitive weeds, thus reducing crop yields. Therefore, we propose to control dominant weed species especially in the years of low yield and extreme minimum temperatures to improve maize yields. Results of our study indicate that through the proactive management of weed diversity, it may be possible to promote both high productivity of crops and environmental sustainability.

摘要

以促进杂草群落多样性的方式管理生产环境,可能会提高作物产量并推动更可持续农业的发展。本研究分析了美国密歇根州W.K.凯洛格生物站长期生态研究项目(KBS-LTER)的主要种植系统试验(MCSE)中1996年至2011年玉米和大豆地块的生产力数据。我们使用从种群生态学得出的模型,来探究杂草多样性、温度和降水如何与作物产量相互作用。使用三种考虑内部和外部(气候和杂草)因素的模型,以及加法或非线性变体,我们发现杂草多样性的变化与玉米和大豆产量随时间增加的速率变化相关。在杂草群落更多样化的情况下,大豆响应环境增加产量的内在能力更强。在杂草多样性最少的系统中,大豆生产风险最大,在这些系统中,每一种杂草的消失都与作物产量的逐步增加损失相关。在抑制优势且竞争力强的杂草的同时,管理杂草群落多样性可能是支持大豆生产力长期增长的有益策略。在玉米中,产量对杂草多样性和最低气温之间的相互作用呈负向且非相加性响应。当寒冷温度通过有限资源限制潜在玉米生产力时,与杂草多样性的负向相互作用变得更加明显。我们认为:(1)在寒冷年份玉米竞争力较弱,从而允许更高的杂草多样性和一些杂草物种占优势;或者(2)寒冷年份导致杂草丰富度增加和竞争性杂草普遍存在,从而降低作物产量。因此,我们建议特别是在低产年份和极端最低气温年份控制优势杂草物种,以提高玉米产量。我们的研究结果表明,通过积极管理杂草多样性,有可能促进作物的高生产力和环境可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d0/5323402/afe29c318e85/fpls-08-00236-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d0/5323402/d66ac1a3cb87/fpls-08-00236-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d0/5323402/82db87ebef75/fpls-08-00236-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d0/5323402/afe29c318e85/fpls-08-00236-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d0/5323402/d66ac1a3cb87/fpls-08-00236-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d0/5323402/82db87ebef75/fpls-08-00236-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d0/5323402/afe29c318e85/fpls-08-00236-g0003.jpg

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