Leaf

M. Barnett
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引用次数: 13

Abstract

Leaf area and specific leaf wr (SLA) are important parameters in many agmwmic and ecological processes, but can be difficult and expcnsivt to measure. This study was made to test simplified meth- ods of estimating pearl millet [Penmiserum ghcum (L.) R. Br.] leaf area md SLA. Leaf length, maximum width, area, and dry mass data wen obtained at 2-wk intervals from plants grown in 75-L pots. Pots contained 85 kg of acidic, Pdeficient Betis sand (sandy, sili- cious, thennic Psrmmentic Paleustalf) and were treated with four P levels and two water treatments (stressed and nonstressed). Individ- ual kaf uer was estimated nondestndively with the following quatiotls: Indivlduai leaf area and whole plant leaf area were calculated from leaf dry mass by the following linear and nonlinear equations: Residual errors indicated that the nonlinear equation wm more ec- curate for area estimation of small leaves (50.20 g), and that I d area data were heleroscedastic. Leaf dry mass was also used to cal- culate SLA by the nonlinear equation SLA = 176.7 X Loaf ~ n n s s ~ ~ ' ' ~ (R' - 0.918), which gave excellent fit to experimental data independent of harvest date, P level and watering treatment. Our results demonstrate that pearl millet leaf arm and SLA can be accurately estimated and easily simulated from simple regression equations.
叶面积和比叶厚度(SLA)是许多农业和生态过程中的重要参数,但测量困难且昂贵。本研究对珍珠粟[Penmiserum ghcum (L.)]的简易估算方法进行了试验。r . Br。叶面积md SLA。叶片长度、最大宽度、面积和干质量数据,每隔2周从75升盆栽中获得。盆栽中装有85公斤酸性缺磷贝蒂斯砂(砂质、硅质、薄质),并进行了四种磷水平和两种水处理(胁迫和非胁迫)。单株叶面积和全株叶面积由叶片干质量分别用线性和非线性方程计算,残差表明,非线性方程对小叶(50.20 g)的面积估计更准确,而单株叶面积数据具有不确定性。叶片干质量的非线性方程SLA = 176.7 X Loaf ~ n n s ~ ~ ' ' ~ (R' - 0.918)与试验数据拟合良好,与采收期、磷水平和浇水处理无关。结果表明,珍珠谷子叶臂和SLA可以通过简单的回归方程进行准确估计和模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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