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首页> 外文期刊>African Journal of Plant Science >Seasonal variation and modeling of leaf area growth in Jatropha curcas L. plants Implication for understanding the species adaptation in the Sahel of Niger
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Seasonal variation and modeling of leaf area growth in Jatropha curcas L. plants Implication for understanding the species adaptation in the Sahel of Niger

机译:麻风树Curcas L的叶片面积生长季节性变化与建模。植物对尼日尔萨赫尔撒布赛物种适应的影响

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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.
机译:麻风树图Curcas是一种在尼日尔中引入的树种,是抵消土地退化和生物燃料生产的试验试验。本研究的目的是通过分析和建模叶面积动态的分析和建模,为理解这种物种适应性的适应潜力。非破坏性方法用于使用四种序列和120种J. Curcas植物的叶片样本来评估叶面积生长。结果表明,叶面积在潮湿的季节期间是最佳的,在非显着差异(p> 0.05),而在其他时期期间它在培养之间存在显着(p <0.05)。对数模型是最准确的,并且开发的模型具有0.95和0.99之间的相关系数。误差分析显示了5.92和27.43%之间的平均误差百分比,具体取决于销量。据赞赏地,误差范围为0.72至2.06 cm2,均得到了开发模型的准确性。与尼日尔的萨赫伦气候和土壤中的J. Curcas生产的预期相反,有必要确保植物额外的灌溉水,特别是在今年的干燥期间。

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