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环境变量对波斯胡芦巴(Trigonella foenum-graecum L.)种群产量相关性状和生物活性化合物的影响。

Impact of environmental variables on yield related traits and bioactive compounds of the Persian fenugreek (Trigonella foenum-graecum L.) populations.

机构信息

Department of Agronomy and Plant Breeding, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran.

Systems and Synthetic Biology Department, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

出版信息

Sci Rep. 2022 May 5;12(1):7359. doi: 10.1038/s41598-022-10940-3.

Abstract

Trigonella foenum-graecum is widely distributed worldwide and grown under a wide range of climatic conditions. The current research was conducted to study the effects of the environmental variables on yield related traits and metabolite contents of 50 different Persian fenugreeks at various geographical locations. Accordingly, multivariate statistical techniques including canonical correspondence analysis (CCA), hierarchical clustering on principal components, and partial least squares regression (PLSR) were applied to determine important proxy variables and establish a relevant model to predict bioactive compounds in fenugreeks. The interrelation of clustered groups emphasized the importance of functional groups of bioactive compounds and several yield related traits. The CCA indicated that two climatic variables of temperature and solar irradiation contributed prominently to 4-hydroxyisoleucine accumulation. The predicted model based on PLSR revealed climatic variables such as temperature, solar, and rain. The precursor of isoleucine was the predictive power for 4-hydroxyisoleucine accumulation while seed weight predicted trigonelline content. The current study's findings may provide helpful information for the breeding strategies of this multipurpose crop.

摘要

鹰嘴豆在世界范围内广泛分布,能在多种气候条件下生长。本研究旨在研究环境变量对 50 种不同波斯鹰嘴豆在不同地理位置的产量相关性状和代谢产物含量的影响。为此,应用多元统计技术包括典范对应分析(CCA)、基于主成分的层次聚类和偏最小二乘回归(PLSR),以确定重要的替代变量并建立相关模型来预测鹰嘴豆中的生物活性化合物。聚类组的相互关系强调了生物活性化合物和几个产量相关性状的功能基团的重要性。CCA 表明,温度和太阳辐射这两个气候变量对 4-羟基异亮氨酸的积累有显著贡献。基于 PLSR 的预测模型显示,温度、太阳辐射和降雨等气候变量。异亮氨酸的前体是 4-羟基异亮氨酸积累的预测因子,而种子重量则预测了葫芦巴碱的含量。本研究的结果可能为这种多用途作物的育种策略提供有用的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4cc/9072307/341780850973/41598_2022_10940_Fig1_HTML.jpg

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