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Models and tests of optimal density and maximal yield for crop plants

机译：作物最佳密度和最大产量的模型和试验

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摘要

We introduce a theoretical framework that predicts the optimum planting density and maximal yield for an annual crop plant. Two critical parameters determine the trajectory of plant growth and the optimal density, N_(opt), where canopies of growing plants just come into contact and competition: (ⅰ) maximal size at maturity, M_(max), which differs among varieties due to artificial selection for different usable products; and (ⅱ) intrinsic growth rate, g, which may vary with variety and environmental conditions. The model predicts (ⅰ) when planting density is less than N_(opt), all plants of a crop mature at the same maximal size, M_(max) and biomass yield per area increases linearly with density; and (ⅱ) when planting density is greater than N_(opt), size at maturity and yield decrease with -4/3 and -1/3 powers of density, respectively. Field data from China show that most annual crops, regardless of variety and life form, exhibit similar scaling relations, with maximal size at maturity, M_(max), accounting for most of the variation in optimal density, maximal yield, and energy use per area. Crops provide elegantly simple empirical model systems to study basic processes that determine the performance of plants in agricultural and less managed ecosystems.
机译：我们介绍了一个理论框架，该框架预测了一年生作物的最佳种植密度和最大产量。两个关键参数决定了植物生长的轨迹和最佳密度N_（opt），其中正在生长的植物的顶盖刚刚开始接触并竞争：（ⅰ）成熟时的最大大小M_（max），由于品种的不同而有所差异人工选择不同的可用产品； （ⅱ）固有增长率g，可能随品种和环境条件而变化。该模型预测（ⅰ），当种植密度小于N_（opt）时，所有作物的成熟植物都以相同的最大尺寸成熟，M_（max）和每单位面积的生物量产量随密度线性增加； （ⅱ）当种植密度大于N_（opt）时，成熟时的大小和产量分别以-4/3和-1/3的密度幂减小。来自中国的实地数据表明，无论品种和生命形式如何，大多数一年生作物都表现出相似的比例关系，成熟时的最大尺寸为M_（max），占最佳密度，最大产量和每单位能源使用量的大部分变化。区域。作物提供了优雅简单的经验模型系统来研究确定农业和管理较少的生态系统中植物性能的基本过程。

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    Jianming Deng; Jinzhi Ran; Zhiqiang Wang; Zhexuan Fan; Genxuan Wang; Mingfei Ji; Jing Liu; Yun Wang; Jianquan Liu; James H. Brown;

  • 作者单位

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China,Department of Biology, University of New Mexico, Albuqerque, NM 87131;

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China,Department of Biology, University of New Mexico, Albuqerque, NM 87131;

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China;

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China;

    Institute of Agroecology and Ecoengineering, College of Life Sciences, Zhejiang University, Hangzhou 310029, People's Republic of China;

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China;

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China;

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China;

    State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Science and of Physical Science and Technology, Lanzhou University, Lanzhou 730000, People's Republic of China;

    Department of Biology, University of New Mexico, Albuqerque, NM 87131,Santa Fe Institute, Santa Fe, NM 87501;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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