A Basis for Selecting Light Spectral Distribution for Evaluating Leaf Photosynthetic Rates of Plants Grown under Different Light Spectral Distributions

Q3 Agricultural and Biological Sciences
K. Murakami, R. Matsuda, K. Fujiwara
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引用次数: 5

Abstract

The photosynthetic rate is one of the most important and fundamental aspects for plant growth. In many studies this rate is measured, evaluated, and compared among the leaves of plants cultivated under different conditions. The measured rates are also used to calculate other photosynthesis-related indices, such as photosynthetic light-, water-, and nitrogen-use efficiencies. In agricultural and horticultural researches, the effectiveness of treatments is sometimes discussed based on the measured photosynthetic rates and calculated indices. A number of researches have reported that the relative spectral photon flux density (PFD) distribution (i.e. the spectral distribution normalized to the peak or mean value) of light used for measurement (i.e. measuring light or actinic light) affects leaf net photosynthetic rates (Pn) (e.g. McCree, 1972; Inada, 1976). To eliminate this direct effect from the comparison, Pn is usually measured under a common spectral distribution of measuring light irrespective of growth conditions in agricultural and horticultural studies. One of the most widely-used measuring lights is a mixture of blue and red light (BR-light) provided by light-emitting diodes (LEDs) installed in commercial photosynthesis analysis systems (e.g. LI-6400, LI-COR Inc., Lincoln, NE, USA; GFS-3000, Heinz Walz GmbH, Effeltrich, Germany). The use of artificial light sources enables precise control of the spectral distribution of measuring light on the leaf, and therefore, ensures reproducibility and reliability among experiments. Walters (2005) noted that photosynthetic rates measured with a relative spectral distribution of light different from that of the growth light do not necessarily reflect the functioning of photosynthesis under the actual growth conditions. Indeed, we have demonstrated this problem in Pn measurements in our recent experiment (Murakami et al., 2016). In that experiment, cucumber seedlings were grown under white LED (300 mol m 2 s ) without and with supplemental far-red (FR) LED light (70 mol m 2 s ) (W and WFR, respectively), and the Pn of the leaves was subsequently compared under BR-light and under light with a relative spectral distribution approximating to that of sunlight (‘artificial’ sunlight) at a photosynthetic PFD (PPFD) of 300 mol m 2 s . The mean Pn of W-grown-leaves (mean ± SE: 12.2 ± 0.5 mol m 2 s ) was 36% greater than that of WFR-grown-leaves (8.9 ± 0.7 mol m 2 s ) under BR-light (95% confident interval: +0.6 to +5.9, P = 0.027), while the mean value of W-grown-leaves (10.1 ± 0.5 mol m 2 s 1 ) were comparable to or 3% smaller than that of WFR-grown-leaves (10.4 ± 0.3 mol m 2 s ) under the artificial sunlight (95% confident interval: –1.9 to +1.3, P = 0.65) (Murakami et al., 2016). Based on the results obtained from measurement under BR-light, the prospective leaf photosynthetic rate (i.e. leaf photosynthetic rates after the measurements) of WFR-grown-plants may
不同光谱分布下植物叶片光合速率选择的光谱分布依据
光合速率是植物生长最重要和最基本的方面之一。在许多研究中,测量、评估和比较了在不同条件下栽培的植物叶片的这一比率。测量的速率也用于计算其他与光合作用有关的指数,如光合作用的光、水和氮利用效率。在农业和园艺研究中,有时根据测量的光合速率和计算的指数来讨论处理的有效性。许多研究报道了用于测量(即测量光或光化光)的光的相对光谱光子通量密度(PFD)分布(即归一化到峰值或平均值的光谱分布)影响叶片净光合速率(Pn)(例如McCree, 1972;Inada, 1976)。为了从比较中消除这种直接影响,在农业和园艺研究中,通常在测量光的共同光谱分布下测量Pn,而不考虑生长条件。最广泛使用的测量灯之一是安装在商业光合作用分析系统(例如LI-6400, LI-COR Inc., Lincoln, NE, USA;GFS-3000, Heinz Walz GmbH, Effeltrich,德国)。人工光源的使用可以精确控制叶片上测量光的光谱分布,从而确保实验的再现性和可靠性。Walters(2005)指出,用不同于生长光的相对光谱分布测量的光合速率并不一定能反映实际生长条件下光合作用的功能。事实上,我们在最近的实验中已经在Pn测量中证明了这个问题(Murakami et al., 2016)。在该实验中,黄瓜幼苗在白光LED (300 mol m 2 s)下生长,无远红(FR) LED (70 mol m 2 s) (W和WFR分别)下生长,随后比较br光和相对光谱分布接近阳光(“人造”阳光)下光合PFD (PPFD)为300 mol m 2 s的光下叶片的Pn。的平均Pn W-grown-leaves(意味着±SE: 12.2±0.5摩尔m 2 s)是36%比WFR-grown-leaves(8.9±0.7摩尔m 2 s) BR-light(95%置信区间:+ 0.6 + 5.9,P = 0.027),尽管W-grown-leaves的平均值(10.1±0.5摩尔m 2 s 1)类似于或小于3%的WFR-grown-leaves(10.4±0.3摩尔m 2 s)人工阳光下(95%置信区间:-1.9 + 1.3,P = 0.65)(村上et al ., 2016)。根据br光下的测量结果,可以预测wfr生长植物的未来叶片光合速率(即测量后的叶片光合速率)
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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来源期刊
Environmental Control in Biology
Environmental Control in Biology Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.00
自引率
0.00%
发文量
25
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