文献类型：期刊文献

英文题名：Optimizing woody oil biodiesel production in yellowhorn via phenotypic marker development: a study of trait-index associations and germplasm screening

作者：Zhang, Wei[1] Li, Linkun[1] Wu, Puxia[2] Yang, Hui[3] Xu, Huihui[1] Bi, Quanxin[1] Shi, Changchun[2] Wang, Libing[1,2,3]

通信作者：Wang, LB[1]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[2]Shaanxi Acad Forestry, Xian 710082, Peoples R China;[3]Northwest A&F Univ, Coll Forestry, Yangling 712100, Peoples R China

年份：2025

卷号：312

外文期刊名：JOURNAL OF PLANT PHYSIOLOGY

收录：;Scopus(收录号：2-s2.0-105011644968);WOS:【SCI-EXPANDED(收录号:WOS:001541323200001)】；

基金：This research work was partially financially supported by Yulin Municipal Party Committee and Government Special Project ([2021] 47) and Research on the Common Basic Theory of the Three-North Project Tough Battles ([2024] 126).

语种：英文

外文关键词：Biodiesel characteristics; Phenotypic selection; Yellowhorn; Leaf traits; Prediction model

摘要：The seed oil of yellowhorn (Xanthoceras sorbifolia Bunge) represents a promising feedstock for biodiesel production, but the detection process associated with its quality is both cumbersome and costly. This work focused on early selection of high-quality germplasm to reduce production costs and enhance genetic gains. An analysis of the relationships between 25 quantitative leaf traits and 8 biodiesel characterization indices in yellowhorn at the experimental and demonstration base in Tongliao City, China, identified 5 key leaf functional traits-leaf Soil Plant Analysis Development (SPAD), frond number (FN), leaf rate of water content (LRWC), leaf shape index (LSI), and the wax-to-leaf thickness ratio (W/L)-that showed significant correlations with the biodiesel characterization indices. These traits were identified as critical indicators for predicting biodiesel quality. Furthermore, a predictive map was developed to delineate optimal biodiesel characteristics, encompassing the ranges of SPAD (35.00-49.92), FN (13.17-18.83), LRWC (0.37 %-0.51 %), LSI (0.23-0.40), and W/L (0.01-0.04). The findings of this study provide technical support for employing straightforward and testability traits to forecast complex indicators, thereby facilitating the preliminary selection of high-quality biodiesel yellowhorn germplasm breeding.