Image-Derived Traits Related to Mid-Season Growth Performance of Maize Under Nitrogen and Water Stress
Image-Derived Traits Related to Mid-Season Growth Performance of Maize Under Nitrogen and Water Stress
复制标题
DOI：
10.3389/fpls.2019.00814
复制
发表时间：
2019-06-26
影响因子：
5.6
通讯作者：
Altmann, Thomas
中科院分区：
文献类型：
--
作者：
Dodig, Dejan;Bozinovic, Sofija;Altmann, Thomas
受控栽培条件下的表型测量对于获得植物对环境影响的反应的机械理解至关重要，从而基于知识改进其在自然田间条件下的性能。对 20 个玉米自交系 (IL) 进行了表型分析，以响应两个水平的水和氮供应（对照和胁迫）以及氮和水的综合缺乏。在 5 周的过程中（从大约 4 叶阶段到繁殖阶段开始），通过使用高通量表型平台每天采集不同光谱范围的图像来监测玉米物候和生长。本研究的重点是在最大水分胁迫时（针对反映植物生理特性的性状）和实验结束时（针对反映植物结构和生物量相关性状的性状）进行的测量。从数字图像数据中提取的二十五个表型性状支持植物生长的生物学解释，因其对中期芽生物量积累的预测价值而被选择。收获后测量的鲜重和干重用于计算各种指数（水分利用效率、生理氮利用效率、植物特定重量），并建立与图像衍生表型特征的相关性。此外，基于干重的评分指数用于识别生产力和压力耐受性方面的对比 IL，并比较它们的图像衍生性状和手动测量性状的平均值。颜色相关性状似乎表明了植物的性能，而光系统 II 的运行效率可能是生物量积累的重要生理参数，特别是在严重胁迫条件下。此外，显示更大叶面积的基因型可能更好地适应非生物胁迫条件。
Phenotypic measurements under controlled cultivation conditions are essential to gain a mechanistic understanding of plant responses to environmental impacts and thus for knowledge-based improvement of their performance under natural field conditions. Twenty maize inbred lines (ILs) were phenotyped in response to two levels of water and nitrogen supply (control and stress) and combined nitrogen and water deficit. Over a course of 5 weeks (from about 4-leaf stage to the beginning of the reproductive stage), maize phenology and growth were monitored by using a high-throughput phenotyping platform for daily acquisition of images in different spectral ranges. The focus of the present study is on the measurements taken at the time of maximum water stress (for traits that reflect plant physiological properties) and at the end of the experiment (for traits that reflect plant architectural and biomass-related traits). Twenty-five phenotypic traits extracted from the digital image data that support biological interpretation of plant growth were selected for their predictive value for mid-season shoot biomass accumulation. Measured fresh and dry weights after harvest were used to calculate various indices (water-use efficiency, physiological nitrogen-use efficiency, specific plant weight) and to establish correlations with image-derived phenotypic features. Also, score indices based on dry weight were used to identify contrasting ILs in terms of productivity and tolerance to stress, and their means for image-derived and manually measured traits were compared. Color-related traits appear to be indicative of plant performance and photosystem II operating efficiency might be an importance physiological parameter of biomass accumulation, particularly under severe stress conditions. Also, genotypes showing greater leaf area may be better adapted to abiotic stress conditions.