Non-destructive detection strategy of maize seed vigor based on seed phenotyping and the potential for accelerating breeding

This study validates a reliable, non-destructive seed vigor detection model supported by genetic and physiological-biochemical evidence. The findings enhance the application of non-destructive seed quality testing models and provide reliable and high-throughput measurable phenotypic traits associated with seed vigor, thereby facilitating gene mining and accelerating high-vigor maize variety breeding.

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Publication Details

Journal
Journal of Advanced Research
Published
2024-12-24
DOI
https://doi.org/10.1016/j.jare.2024.12.022
Citations
7
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
3.85
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article

Non-destructive detection strategy of maize seed vigor based on seed phenotyping and the potential for accelerating breeding

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7 citations
Journal of Advanced Research
Genetic Mapping and Diversity in Plants and Animals
3.85
article

Non-destructive detection strategy of maize seed vigor based on seed phenotyping and the potential for accelerating breeding

Keling Tu, Shaozhe Wen, Yanan Xu, Hongju He, Riliang Gu, Qun Sun, Jianbing Li, Chengming Sun, Baojian Guo, Rugen Xu
article en
7 citations

Abstract

This study validates a reliable, non-destructive seed vigor detection model supported by genetic and physiological-biochemical evidence. The findings enhance the application of non-destructive seed quality testing models and provide reliable and high-throughput measurable phenotypic traits associated with seed vigor, thereby facilitating gene mining and accelerating high-vigor maize variety breeding.

Journal of Advanced ResearchVol. 76
Ministry of Agriculture (EE), Yangzhou Polytechnic Institute (CN), Ministry of Agriculture (ID), Beijing Academy of Agricultural and Forestry Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), China Agricultural University (CN), Yangzhou University (CN)
Zero hunger
Openalex Percentile: Top 6%
Genetic Mapping and Diversity in Plants and Animals
3.85
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