Dodig Dejan, Božinović Sofija, Nikolić Ana, Zorić Miroslav, Vančetović Jelena, Ignjatović-Micić Dragana, Delić Nenad, Weigelt-Fischer Kathleen, Altmann Thomas, Junker Astrid
Department for Research and Development, Maize Research Institute Zemun Polje, Belgrade-Zemun, Serbia.
Department for Maize, Institute for Field and Vegetable Crops, Novi Sad, Serbia.
Front Plant Sci. 2021 May 11;12:652116. doi: 10.3389/fpls.2021.652116. eCollection 2021.
Changes in climate are likely to have a negative impact on water availability and soil fertility in many maize-growing agricultural areas. The development of high-throughput phenotyping platforms provides a new prospect for dissecting the dynamic complex plant traits such as abiotic stress tolerance into simple components. The growth phenotypes of 20 maize ( L.) inbred lines were monitored in a non-invasive way under control, nitrogen, and water limitation as well as under combined nitrogen and water stress using an automated phenotyping system in greenhouse conditions. Thirteen biomass-related and morphophysiological traits were extracted from RGB images acquired at 33 time points covering developmental stages from leaf count 5 at the first imaging date to leaf count 10-13 at the final harvest. For these traits, genetic differences were identified and dynamic developmental trends during different maize growth stages were analyzed. The difference between control and water stress was detectable 3-10 days after the beginning of stress depending on the genotype, while the effect of limited nitrogen supply only induced subtle phenotypic effects. Phenotypic traits showed different response dynamics as well as multiple and changing interaction patterns with stress progression. The estimated biovolume, leaf area index, and color ratios were found to be stress-responsive at different stages of drought stress progression and thereby represent valuable reference indicators in the selection of drought-adaptive genotypes. Furthermore, genotypes could be grouped according to two typical growth dynamic patterns in water stress treatments by c-means clustering analysis. Inbred lines with high drought adaptability across time and development were identified and could serve as a basis for designing novel genotypes with desired, stage-specific growth phenotypes under water stress through pyramiding. Drought recovery potential may play an equal role as drought tolerance in plant drought adaptation.
气候变化可能会对许多种植玉米的农业地区的水资源供应和土壤肥力产生负面影响。高通量表型分析平台的发展为将诸如非生物胁迫耐受性等动态复杂植物性状分解为简单组成部分提供了新的前景。在温室条件下,使用自动表型分析系统,以非侵入性方式监测了20个玉米自交系在对照、氮素、水分限制以及氮素和水分联合胁迫下的生长表型。从33个时间点采集的RGB图像中提取了13个与生物量相关的形态生理性状,这些时间点涵盖了从第一次成像时的5片叶计数到最终收获时的10 - 13片叶计数的发育阶段。针对这些性状,鉴定了遗传差异并分析了不同玉米生长阶段的动态发育趋势。根据基因型的不同,在胁迫开始后3 - 10天可检测到对照和水分胁迫之间的差异,而有限氮供应的影响仅诱导了细微的表型效应。表型性状表现出不同的响应动态以及随着胁迫进展的多种和变化的相互作用模式。发现在干旱胁迫进展的不同阶段,估计的生物体积、叶面积指数和颜色比率对胁迫有响应,因此在选择耐旱基因型时是有价值的参考指标。此外,通过c均值聚类分析,可以根据水分胁迫处理中的两种典型生长动态模式对基因型进行分组。鉴定出了在时间和发育过程中具有高耐旱适应性的自交系,这些自交系可作为通过聚合设计在水分胁迫下具有所需的、阶段特异性生长表型的新型基因型的基础。干旱恢复潜力在植物干旱适应中可能与耐旱性发挥同等作用。