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光合能量转换效率:为衡量重要粮食和生物燃料作物未来的改良设定基准

Photosynthetic energy conversion efficiency: setting a baseline for gauging future improvements in important food and biofuel crops.

作者信息

Slattery Rebecca A, Ort Donald R

机构信息

Department of Plant Biology (R.A.S., D.R.O.), Institute for Genomic Biology (R.A.S., D.R.O.), and Global Change and Photosynthesis Research Unit (D.R.O.), United States Department of Agriculture, Urbana, Illinois 61801.

Department of Plant Biology (R.A.S., D.R.O.), Institute for Genomic Biology (R.A.S., D.R.O.), and Global Change and Photosynthesis Research Unit (D.R.O.), United States Department of Agriculture, Urbana, Illinois 61801

出版信息

Plant Physiol. 2015 Jun;168(2):383-92. doi: 10.1104/pp.15.00066. Epub 2015 Mar 31.

Abstract

The conversion efficiency (ε(c)) of absorbed radiation into biomass (MJ of dry matter per MJ of absorbed photosynthetically active radiation) is a component of yield potential that has been estimated at less than half the theoretical maximum. Various strategies have been proposed to improve ε(c), but a statistical analysis to establish baseline ε(c) levels across different crop functional types is lacking. Data from 164 published ε(c) studies conducted in relatively unstressed growth conditions were used to determine the means, greatest contributors to variation, and genetic trends in ε(c )across important food and biofuel crop species. ε(c) was greatest in biofuel crops (0.049-0.066), followed by C4 food crops (0.046-0.049), C3 nonlegumes (0.036-0.041), and finally C3 legumes (0.028-0.035). Despite confining our analysis to relatively unstressed growth conditions, total incident solar radiation and average growing season temperature most often accounted for the largest portion of ε(c) variability. Genetic improvements in ε(c), when present, were less than 0.7% per year, revealing the unrealized potential of improving ε(c) as a promising contributing strategy to meet projected future agricultural demand.

摘要

吸收的辐射转化为生物量的效率(ε(c))(每兆焦耳吸收的光合有效辐射所产生的干物质兆焦耳数)是产量潜力的一个组成部分,据估计该效率低于理论最大值的一半。人们提出了各种策略来提高ε(c),但缺乏一项统计分析来确定不同作物功能类型的ε(c)基线水平。利用在相对无胁迫生长条件下进行的164项已发表的ε(c)研究数据,来确定重要粮食和生物燃料作物品种的ε(c)均值、变异的最大贡献因素以及遗传趋势。ε(c)在生物燃料作物中最高(0.049 - 0.066),其次是C4粮食作物(0.046 - 0.049)、C3非豆科植物(0.036 - 0.041),最后是C3豆科植物(0.028 - 0.035)。尽管我们将分析局限于相对无胁迫的生长条件,但总入射太阳辐射和生长季平均温度通常占ε(c)变异性的最大部分。ε(c)的遗传改良(若存在)每年小于0.7%,这表明提高ε(c)作为满足未来预计农业需求的一项有前景的贡献策略,其潜力尚未实现。

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