Phenotyping the Seedling Vigor in Winter Wheat Based on Multispectral Images

Seedling vigor is a crucial determinant of crop establishment and yield in winter wheat. Traditional phenotyping methods are often laborintensive and time-consuming. This study explores the use of multispectral imaging to assess seedling vigor in winter wheat, providing a rapid, non-destructive alternative. In this research, winter wheat seedlings of AN1589, AN188, AN98 and JM22 were imaged at seedling stages using a multispectral camera during 2023–2024 wheat season. Key vegetation indices were extracted and analyzed. These indices were then correlated with traditional measurements of seedling vigor, including leaf area index (LAI), ground biomass (GB), and specific leaf area (SLA). The results demonstrated strong correlations between the multispectral vegetation indices and traditional vigor traits, validating the effectiveness of multispectral imaging for phenotyping seedling vigor. This approach offers a high-throughput, accurate method for assessing seedling vigor, which can facilitate breeding programs and precision agriculture practices aimed at improving winter wheat productivity.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865475
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Phenotyping the Seedling Vigor in Winter Wheat Based on Multispectral Images

Yulei Zhu, Youhong Song, Zhengxin Wang, Yadong Wang et al.
Remote Sensing in Agriculture
article

Phenotyping the Seedling Vigor in Winter Wheat Based on Multispectral Images

Yulei Zhu, Youhong Song, Zhengxin Wang, Yadong Wang, Ling Zhang
article en

Abstract

Seedling vigor is a crucial determinant of crop establishment and yield in winter wheat. Traditional phenotyping methods are often laborintensive and time-consuming. This study explores the use of multispectral imaging to assess seedling vigor in winter wheat, providing a rapid, non-destructive alternative. In this research, winter wheat seedlings of AN1589, AN188, AN98 and JM22 were imaged at seedling stages using a multispectral camera during 2023–2024 wheat season. Key vegetation indices were extracted and analyzed. These indices were then correlated with traditional measurements of seedling vigor, including leaf area index (LAI), ground biomass (GB), and specific leaf area (SLA). The results demonstrated strong correlations between the multispectral vegetation indices and traditional vigor traits, validating the effectiveness of multispectral imaging for phenotyping seedling vigor. This approach offers a high-throughput, accurate method for assessing seedling vigor, which can facilitate breeding programs and precision agriculture practices aimed at improving winter wheat productivity.

Anhui Agricultural University (CN)
Zero hunger
Openalex Percentile: Top 74%
Remote Sensing in Agriculture
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