麻疯树叶面积生长的季节变化和模拟:对了解尼日尔萨赫勒地区物种适应的意义

Moussa Massaoudou, T. Abasse, H. Rabiou, L. Mahamane
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引用次数: 1

摘要

麻疯树是尼日尔引进的一种树种,作为抵消土地退化和生物燃料生产的试验。本研究的目的是通过对叶面积动态的分析和建模,有助于了解该物种在尼日尔的土壤和气候条件下的适应潜力。采用无损法对4个种源、120份麻树叶片进行了叶面积生长评价。结果表明:种源间叶面积差异显著(P < 0.05),种源间湿季叶面积差异不显著(P > 0.05);对数模型最准确,模型的相关系数在0.95 ~ 0.99之间。误差分析显示,根据来源的不同,平均绝对误差百分比在5.92和27.43%之间。所建立的模型精度较高,误差均方根在0.72 ~ 2.06 cm2之间。与预期相反,为了在尼日尔的萨赫勒气候和土壤中生产麻瓜,必须确保植物获得额外的灌溉水,特别是在一年中的干旱时期。关键词:外来种,麻疯树,适应,叶面积模型,尼日尔
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonal variation and modeling of leaf area growth in Jatropha curcas L. plants: Implication for understanding the species adaptation in the Sahel of Niger
Jatropha curcas is a tree species introduced in Niger as a trial experiment to offset land degradation and for biofuel production. The objective of this study is to contribute to the understanding of this species’ potential for adaptation under the edaphic and climatic conditions of Niger through analysis and modeling of the leaf area dynamics. The nondestructive method is used to evaluate the leaf area growth using four provenances and 120 samples of leaves of J. curcas plants. The results show that leaf area is optimal during the wet season of the year with non-significant difference (P > 0.05), while during other periods it is significant (P < 0.05) between provenances. The logarithmic model is the most accurate, and the models developed have a correlation coefficient between 0.95 and 0.99. The error analysis shows a mean absolute percentage of error between 5.92 and 27.43%, depending on the provenances. The accuracies of the developed models were appreciated, with root mean square of error varying from 0.72 to 2.06 cm2. Contrary to the expectation, for production of J. curcas in Niger’s Sahelian climate and soil, it is necessary to ensure additional irrigation water to the plants, especially during the dry period of the year.   Key words: Exotic species, Jatropha curcas, adaptation, leaf area models, Niger.
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