首页> 外文学位 >Competitiveness of erect, semi-erect, and prostrate cowpea (Vigna unguiculata) genotypes with sunflower (Helianthus annuus) and purslane (Portulaca oleracea): Experiments and simulations.
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Competitiveness of erect, semi-erect, and prostrate cowpea (Vigna unguiculata) genotypes with sunflower (Helianthus annuus) and purslane (Portulaca oleracea): Experiments and simulations.

机译:直立,半直立和pro状cow豆(Vigna unguiculata)基因型与向日葵(Helianthus annuus)和马齿sl(Portulaca oleracea)的竞争性:实验和模拟。

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摘要

Competition of erect, semi-erect, and prostrate cowpea [ Vigna unguiculata (L.) Walp.] cover crop and sunflower ( Helianthus annuus L.) or purslane (Portulaca oleracea L.) was studied by glasshouse replacement series, field experiments, and simulation modeling. Three cowpea genotypes differed in their ability to compete with sunflower and purslane, with the erect genotype IC as the most competitive genotype. Replacement series with six cowpea genotypes confirmed the finding. Correlation and regression between aggressivity indices of cowpea genotypes and growth parameters showed that faster plant growth, more dry matter partitioning into stem, and faster height growth were important determinants of competition with sunflower. Larger plant size and more dry matter partitioning into leaves were more important to the competitive outcomes when cowpea genotypes were grown with purslane. The ecophysiological simulation model INTERCOM was used to simulate competition of cowpea genotypes and sunflower or purslane. The model accurately simulated field competition of cowpea genotypes with sunflower, but not with purslane. The simulation model of cowpea and sunflower was used to study the effect of management practices and cowpea growth traits on cowpea and sunflower biomass. The model suggested that cowpea density and sunflower emergence date had significant effects on both cowpea and sunflower biomass, and that faster leaf area growth rate early in the growing season had the greatest effect on competitive outcomes among the studied growth variables. All of the above effects became less important as sunflower density increased. The simulation model, combined with field experiments, provides a new approach to studying the mechanisms of plant competition.
机译:通过温室替换系列,田间试验和田间试验研究了直立,半直立和strate状cow豆[Vigna unguiculata(L.)Walp。]覆盖作物和向日葵(向日葵)或马齿sl(Portulaca oleracea L.)的竞争。仿真建模。三种cow豆基因型在与向日葵和马齿compete竞争的能力上有所不同,直立基因型IC是最有竞争力的基因型。六个cow豆基因型的替代系列证实了这一发现。 cow豆基因型攻击性指数与生长参数之间的相关性和回归分析表明,更快的植物生长,更多的干物质分配到茎中以及更快的高度生长是与向日葵竞争的重要决定因素。当pur豆基因型与马齿grown一起生长时,更大的植株尺寸和更多的干物质分配到叶片中对竞争结果更为重要。使用生态生理模拟模型INTERCOM来模拟of豆基因型与向日葵或马齿competition的竞争。该模型准确地模拟了sunflower豆基因型与向日葵的竞争,而与马齿sl的竞争没有。利用of豆和向日葵的模拟模型研究了管理措施和cow豆生长特性对cow豆和向日葵生物量的影响。该模型表明,cow豆密度和向日葵出苗日期对cow豆和向日葵生物量均具有显着影响,并且在所研究的生长变量中,生长期早期叶面积更快的生长速度对竞争结果影响最大。随着向日葵密度的增加,所有上述影响变得不那么重要了。仿真模型与现场试验相结合,为研究植物竞争机制提供了新途径。

著录项

  • 作者

    Wang, Guangyao.;

  • 作者单位

    University of California, Riverside.;

  • 授予单位 University of California, Riverside.;
  • 学科 Agriculture Agronomy.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 125 p.
  • 总页数 125
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);
  • 关键词

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