首页> 外文期刊>European Journal of Agronomy >Bayesian network modeling of early growth stages explains yam interplant yield variability and allows for agronomic improvements in West Africa
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Bayesian network modeling of early growth stages explains yam interplant yield variability and allows for agronomic improvements in West Africa

机译:早期生长阶段的贝叶斯网络建模解释了山药间的产量差异,并促进了西非的农艺改良

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Yams (Dioscorea spp.) are important species, especially for resource-poor farmers of West Africa, where crop yields are affected by early plant size hierarchy linked with uneven emergence. Although the causes of this phenomenon are not fully known, yams, like other vegetatively propagated crops, have heavy planting material that is liable to induce such interplant variability. In addition, planting practices may mitigate this phenomenon via the selection of the seed-tuber size or state. To gain further insight into yam interplant variability, this study identified and quantified, for the first time, the direct and indirect dependency between planting practices, early growth variables and yield components of Dioscorea rotundata and Dioscorea alata, the two main food yam species. The experimental dataset came from six field trials carried out in Benin at two locations between 2007 and 2009. Additive Bayesian network modeling was used for structure discovery its directed acyclic graph offers an ideal background for discussing complex systems when theoretical knowledge is lacking, e.g., for yams. Here we found that the emergence date was the only direct cause of plant yield variability common to both species. For D. rotundata, we observed a direct contribution of the cataphyll number to the plant tuber weight. These combined results suggest the existence of some uncontrolled latent variables (i.e., seed-tuber physiological age and reserves). For D. alata, the model did not reveal any effect of seed-tuber size, despite a strong effect noted for D. rotundata. We suggest that the transposition of traditional native D. rotundata planting practices may have led to oversized D. alata seed-tubers, resulting in wastage of planting material. This study demonstrated that traditional West African cropping systems have a serious drawback concerning the uncontrolled wide range of physiological ages and reserves in seed-tuber lots, which affect the plant size hierarchy and ultimately the marketable yield. (C) 2016 Elsevier B.V. All rights reserved.
机译:山药(Dioscorea spp。)是重要的物种,特别是对于西非资源贫乏的农民而言,西非的作物产量受早期植物大小等级和出苗不均的影响,因此尤其重要。尽管这种现象的原因尚不完全清楚,但与其他无性繁殖作物一样,山药的种植材料也很重,容易引起这种植物间变异。另外,种植实践可以通过选择块茎大小或状态来减轻这种现象。为了进一步了解山药的株间变异性,本研究首次确定并量化了两种主要食用山药薯种薯Di和薯Di的种植方式,早期生长变量和产量构成之间的直接和间接依赖性。实验数据集来自2007年至2009年在贝宁在两个地点进行的六次现场试验。加性贝叶斯网络建模用于结构发现,其有向无环图为缺乏理论知识(例如,对于山药。在这里,我们发现出现日期是两个物种共同的植物产量变异的唯一直接原因。对于D. rotundata,我们观察到了叶绿素数对植物块茎重量的直接贡献。这些综合结果表明存在一些不受控制的潜在变量(即块茎生理年龄和储藏量)。对于D. alata,该模型没有显示出种子块茎大小的任何影响,尽管已对D. rotundata注意到了强烈的影响。我们建议,传统的本地罗氏沼虾种植方法的换位可能导致过大的D. alata种子块茎,导致种植材料的浪费。这项研究表明,传统的西非作物种植系统存在严重的缺点,涉及不受控制的生理年龄范围和块茎品种的储备,这会影响植物的大小等级并最终影响可销售的产量。 (C)2016 Elsevier B.V.保留所有权利。

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