Dvořáček Václav, Jágr Michal, Kotrbová Kozak Anna, Capouchová Ivana, Konvalina Petr, Faměra Oldřich, Hlásná Čepková Petra
Crop Research Institute, Drnovská 507, 161 06 Prague, Czech Republic.
Department of Agroecology and Crop Production, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, 165 00 Prague, Czech Republic.
Plants (Basel). 2021 Nov 17;10(11):2485. doi: 10.3390/plants10112485.
Our study was focused on the evaluation of the content of a wider spectrum of eight avenanthramides (AVNs) as unique components of oat grain under the effects of four selected factors (cultivar, locality, cropping system, and year). The weather effects on changes in the AVN content and their relationship to other important parameters of oat grain were further evaluated in more detail. A sensitive UHPLC system coupled with a QExactive Orbitrap mass spectrometer was used for AVN quantification. AVNs confirmed a high variability (RDS = 72.7-113.5%), which was dominantly influenced by the locality and year factors. While most AVN types confirmed mutually high correlations (r = 0.7-0.9), their correlations with the other 10 grain parameters were lower (r ≤ 0.48). Their significant correlations (0.27-0.46) with β-D-glucan could be used in perspective in breeding programs for the synergetic increase of both parameters. PCA analysis and Spearman correlations based on individual cultivars confirmed a significant effect of June and July precipitation on the increase of Σ AVNs. However, the results also indicated that higher precipitation can generate favorable conditions for related factors, such as preharvest sprouting evoking a direct increase of AVNs synthesis in oat grain.
我们的研究聚焦于评估在四个选定因素（品种、产地、种植系统和年份）的影响下，燕麦籽粒中更广泛的八种阿魏酰胺（AVN）作为独特成分的含量。进一步更详细地评估了天气对AVN含量变化的影响及其与燕麦籽粒其他重要参数的关系。使用了配备QExactive Orbitrap质谱仪的灵敏超高效液相色谱（UHPLC）系统对AVN进行定量。AVN显示出高度变异性（相对标准偏差 = 72.7 - 113.5%），主要受产地和年份因素影响。虽然大多数AVN类型相互之间具有高度相关性（r = 0.7 - 0.9），但它们与其他10个籽粒参数的相关性较低（r ≤ 0.48）。它们与β - D - 葡聚糖的显著相关性（0.27 - 0.46）可在未来用于育种计划，以协同提高这两个参数。基于各个品种的主成分分析（PCA）和斯皮尔曼相关性证实，6月和7月的降水量对总AVN的增加有显著影响。然而，结果还表明，较高的降水量会为相关因素创造有利条件，例如收获前发芽会直接增加燕麦籽粒中AVN的合成。
