4.7 Article

Dynamics and genetic regulation of leaf nutrient concentration in barley based on hyperspectral imaging and machine learning

期刊

PLANT SCIENCE
卷 315, 期 -, 页码 -

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.plantsci.2021.111123

关键词

Artificial intelligence (AI); Barley ( Hordeum vulgare ); Genome-wide association study (GWAS); Hyperspectral imaging (HSI); Nested association mapping (NAM); Partial least squares regression (PLS)

资金

  1. German Federal Ministry of Research and Education (BMBF), IPAS grant BARLEY-DIVERSITY [FZ 031A352A]

向作者/读者索取更多资源

This study demonstrated the potential of high-throughput hyperspectral imaging to accurately predict leaf concentration of 15 mineral nutrients in barley. Specific patterns of variation in leaf nutrient concentration between developmental stages were observed, and quantitative trait loci associated with the simultaneous expression of leaf nutrients were detected, suggesting potential co-regulation in barley. The findings provide a new approach for nutrient assessment in large-scale field experiments to support plant biofortification through gene and genotype selection.
Biofortification, the enrichment of nutrients in crop plants, is of increasing importance to improve human health. The wild barley nested association mapping (NAM) population HEB-25 was developed to improve agronomic traits including nutrient concentration. Here, we evaluated the potential of high-throughput hyperspectral imaging in HEB-25 to predict leaf concentration of 15 mineral nutrients, sampled from two field experiments and four developmental stages. Particularly accurate predictions were obtained by partial least squares regression (PLS) modeling of leaf concentrations for N, P and K reaching coefficients of determination of 0.90, 0.75 and 0.89, respectively. We recognized nutrient-specific patterns of variation of leaf nutrient concentration between developmental stages. A number of quantitative trait loci (QTL) associated with the simultaneous expression of leaf nutrients were detected, indicating their potential co-regulation in barley. For example, the wild barley allele of QTL-4H-1 simultaneously increased leaf concentration of N, P, K and Cu. Similar effects of the same QTL were previously reported for nutrient concentrations in grains, supporting a potential parallel regulation of N, P, K and Cu in leaves and grains of HEB-25. Our study provides a new approach for nutrient assessment in large-scale field experiments to ultimately select genes and genotypes supporting plant biofortification.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据