Martin Adam R, Hale Christine E, Cerabolini Bruno E L, Cornelissen Johannes H C, Craine Joseph, Gough William A, Kattge Jens, Tirona Cairan K F
Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Canada.
Centre for Critical Development Studies, University of Toronto Scarborough, Toronto, Canada.
AoB Plants. 2018 Jan 24;10(1):ply006. doi: 10.1093/aobpla/ply006. eCollection 2018 Feb.
Leaf Economics Spectrum (LES) trait variation underpins multiple agroecological processes and many prominent crop yield models. While there are numerous independent studies assessing trait variation in crops, to date there have been no comprehensive assessments of intraspecific trait variation (ITV) in LES traits for wheat and maize: the world's most widespread crops. Using trait databases and peer-reviewed literature, we compiled over 700 records of specific leaf area (SLA), maximum photosynthetic rates () and leaf nitrogen (N) concentrations, for wheat and maize. We evaluated intraspecific LES trait variation, and intraspecific trait-environment relationships. While wheat and maize occupy the upper 90th percentile of LES trait values observed across a global species pool, ITV ranged widely across the LES in wheat and maize. Fertilization treatments had strong impacts on leaf N, while plant developmental stage (here standardized as the number of days since planting) had strong impacts on ; days since planting, N fertilization and irrigation all influenced SLA. When controlling for these factors, intraspecific responses to temperature and precipitation explained 39.4 and 43.7 % of the variation in and SLA, respectively, but only 5.4 % of the variation in leaf N. Despite a long history of domestication in these species, ITV in wheat and maize among and within cultivars remains large. Intraspecific trait variation is a critical consideration to refine regional to global models of agroecosystem structure, function and food security. Considerable opportunities and benefits exist for consolidating a crop trait database for a wider range of domesticated plant species.
叶经济光谱(LES)性状变异是多种农业生态过程和许多重要作物产量模型的基础。虽然有大量独立研究评估作物的性状变异,但迄今为止,尚未对全球最广泛种植的作物小麦和玉米的LES性状种内性状变异(ITV)进行全面评估。利用性状数据库和同行评审文献,我们收集了700多条关于小麦和玉米的比叶面积(SLA)、最大光合速率()和叶片氮(N)浓度的记录。我们评估了种内LES性状变异以及种内性状与环境的关系。虽然小麦和玉米在全球物种库中观察到的LES性状值处于第90百分位数以上,但小麦和玉米的ITV在LES范围内差异很大。施肥处理对叶片氮有强烈影响,而植物发育阶段(这里标准化为种植后天数)对有强烈影响;种植后天数、氮肥施用和灌溉都影响SLA。在控制这些因素后,种内对温度和降水的响应分别解释了和SLA变异的39.4%和43.7%,但仅解释了叶片氮变异的5.4%。尽管这些物种有悠久的驯化历史,但小麦和玉米品种间及品种内的ITV仍然很大。种内性状变异是完善区域到全球农业生态系统结构、功能和粮食安全模型的关键考虑因素。整合更广泛驯化植物物种的作物性状数据库存在相当多的机会和益处。