中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Unfolding the leaf economics spectrum for wheat: Trait analysis and genomic associations across cultivars

文献类型:期刊论文

作者Li, Yibo1,4; Tao, Fulu1,4; Hao, Yuanfeng2; Tong, Jingyang2; Xiao, Yonggui2; He, Zhonghu2; Reynolds, Matthew3
刊名ENVIRONMENTAL AND EXPERIMENTAL BOTANY
出版日期2024-10-01
卷号226页码:105928
关键词Agro-ecology Intraspecific variation Leaf traits Photosynthesis Trait-based ecology
DOI10.1016/j.envexpbot.2024.105928
产权排序1
文献子类Article
英文摘要The leaf economics spectrum (LES) is an ecophysiological concept that describes the trade-offs between leaf structural and physiological traits. It has been extensively studied across various scales. However, the coordination hypothesis has rarely been tested at the intraspecific scale, especially in crops, for understanding yield increases or predicting evolutionary trajectories. Here, we first tested the relationships among leaf traits and examined the genetic coordination among 209 wheat genotypes. Compared to non-crop grass species, wheat is a fast-growing species, and tends to have a higher value of photosynthetic rate, leaf nitrogen concentration and leaf respiration rate at a given leaf mass per area, although it does align with the predicted direction of the fast-slow spectrum. We conducted a principal component analysis (PCA) to compare different traits within wheat. The first axis from PCA (ranging from slow to fast of plant economic investment) is significantly positively associated with the agronomic traits, especially grain yield (R2=0.11, P<0.001). Partially independent changes in leaf nitrogen content and leaf mass per area may allow crops to maximize photosynthetic rates without sacrificing leaf lifespan. The results reveal that some loci are simultaneously associated with different traits, which may be the genetic basis for the formation of trait-trait relationships. The current study deepens the understanding of LES traits in wheat at the intraspecific and genetic levels, supporting the trait-based adaptation strategies to improve wheat productivity and resource-use efficiency.
WOS关键词PLANT FUNCTIONAL TRAITS ; GENETIC GAINS ; GRAIN-YIELD ; PHYSIOLOGICAL TRAITS ; WINTER-WHEAT ; PHOTOSYNTHESIS ; RICE ; COORDINATION ; CONDUCTANCE ; POPULATION
WOS研究方向Plant Sciences ; Environmental Sciences & Ecology
WOS记录号WOS:001292014400001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/206880]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Tao, Fulu
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China
3.Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco, Mexico
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Li, Yibo,Tao, Fulu,Hao, Yuanfeng,et al. Unfolding the leaf economics spectrum for wheat: Trait analysis and genomic associations across cultivars[J]. ENVIRONMENTAL AND EXPERIMENTAL BOTANY,2024,226:105928.
APA Li, Yibo.,Tao, Fulu.,Hao, Yuanfeng.,Tong, Jingyang.,Xiao, Yonggui.,...&Reynolds, Matthew.(2024).Unfolding the leaf economics spectrum for wheat: Trait analysis and genomic associations across cultivars.ENVIRONMENTAL AND EXPERIMENTAL BOTANY,226,105928.
MLA Li, Yibo,et al."Unfolding the leaf economics spectrum for wheat: Trait analysis and genomic associations across cultivars".ENVIRONMENTAL AND EXPERIMENTAL BOTANY 226(2024):105928.

入库方式: OAI收割

来源:地理科学与资源研究所

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