High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat
Non-destructive time-series assessment of chlorophyll content in flag-leaf (FLC) accurately mimics the senescence rate and the identification of genetic loci associated with senescence provides valuable knowledge to improve yield stability under stressed environments. In this study, we employed both...
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KeAi Communications Co., Ltd.
2025-08-01
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| Series: | Crop Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214514125001102 |
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| author | Lei Li Jindong Liu Muhammad Adeel Hassan Duoxia Wang Keyi Wang Shuaipeng Fei Jianqi Zeng Awais Rasheed Xianchun Xia Zhonghu He Yong He Yong Zhang Yonggui Xiao |
| author_facet | Lei Li Jindong Liu Muhammad Adeel Hassan Duoxia Wang Keyi Wang Shuaipeng Fei Jianqi Zeng Awais Rasheed Xianchun Xia Zhonghu He Yong He Yong Zhang Yonggui Xiao |
| author_sort | Lei Li |
| collection | DOAJ |
| description | Non-destructive time-series assessment of chlorophyll content in flag-leaf (FLC) accurately mimics the senescence rate and the identification of genetic loci associated with senescence provides valuable knowledge to improve yield stability under stressed environments. In this study, we employed both unmanned aerial vehicles (UAVs) equipped with red–green–blue (RGB) camera and ground-based SPAD-502 instrument to conduct temporal phenotyping of senescence. A total of 262 recombinant inbred lines derived from the cross of Zhongmai 578/ Jimai 22 were evaluated for senescence-related traits across three environments, spanning from heading to 35 d post-anthesis. The manual senescence rate (MSR) was quantified using the FLC and the active accumulated temperature, and UAV derived vegetation index were utilized to assess the stay-green rate (USG) facilitating the identification of senescent and stay-green lines. Results indicated that higher senescence rates significantly impacted grain yield, primarily by influencing thousand-kernel weight, and plant height. Quantitative trait loci (QTL) mapping for FLC, USG, and MSR using the 50K SNP array identified 38 stable loci associated with RGB-based vegetation indices and senescence-related traits: among which 19 loci related to senescence traits from UAV and FLC were consistently detected across at least two growth stages, with nine loci likely representing novel QTL. This study highlights the potential of UAV-based high-throughput phenotyping and phenology in identifying critical loci associated with senescence rates in wheat, validating the relationship between senescence rates and yield-related traits in wheat, offering valuable opportunities for gene discovery and significant applications in breeding programs. |
| format | Article |
| id | doaj-art-155a2797f80f4ab9a5f74e6a76dbaba3 |
| institution | Kabale University |
| issn | 2214-5141 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Crop Journal |
| spelling | doaj-art-155a2797f80f4ab9a5f74e6a76dbaba32025-08-22T04:56:26ZengKeAi Communications Co., Ltd.Crop Journal2214-51412025-08-011341168117710.1016/j.cj.2025.04.011High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheatLei Li0Jindong Liu1Muhammad Adeel Hassan2Duoxia Wang3Keyi Wang4Shuaipeng Fei5Jianqi Zeng6Awais Rasheed7Xianchun Xia8Zhonghu He9Yong He10Yong Zhang11Yonggui Xiao12State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Zhongyuan Research Center, Chinese Academy of Agricultural Sciences, Xinxiang 453519, Henan, China; Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaAdaptive Cropping System Laboratory, USDA-ARS, Beltsville, MD 20705, USA; Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USAState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; International Maize and Wheat Improvement Centre (CIMMYT) China Office, c/o CAAS, Beijing 100081, China; Department of Plant Science, Quaid-i-Azam University, Islamabad 44000, PakistanState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; International Maize and Wheat Improvement Centre (CIMMYT) China Office, c/o CAAS, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Zhongyuan Research Center, Chinese Academy of Agricultural Sciences, Xinxiang 453519, Henan, China; Corresponding authors.State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Corresponding authors.Non-destructive time-series assessment of chlorophyll content in flag-leaf (FLC) accurately mimics the senescence rate and the identification of genetic loci associated with senescence provides valuable knowledge to improve yield stability under stressed environments. In this study, we employed both unmanned aerial vehicles (UAVs) equipped with red–green–blue (RGB) camera and ground-based SPAD-502 instrument to conduct temporal phenotyping of senescence. A total of 262 recombinant inbred lines derived from the cross of Zhongmai 578/ Jimai 22 were evaluated for senescence-related traits across three environments, spanning from heading to 35 d post-anthesis. The manual senescence rate (MSR) was quantified using the FLC and the active accumulated temperature, and UAV derived vegetation index were utilized to assess the stay-green rate (USG) facilitating the identification of senescent and stay-green lines. Results indicated that higher senescence rates significantly impacted grain yield, primarily by influencing thousand-kernel weight, and plant height. Quantitative trait loci (QTL) mapping for FLC, USG, and MSR using the 50K SNP array identified 38 stable loci associated with RGB-based vegetation indices and senescence-related traits: among which 19 loci related to senescence traits from UAV and FLC were consistently detected across at least two growth stages, with nine loci likely representing novel QTL. This study highlights the potential of UAV-based high-throughput phenotyping and phenology in identifying critical loci associated with senescence rates in wheat, validating the relationship between senescence rates and yield-related traits in wheat, offering valuable opportunities for gene discovery and significant applications in breeding programs.http://www.sciencedirect.com/science/article/pii/S2214514125001102Aerial digital imagingActive accumulated temperatureChlorophyllQTLSenescence rateCommon wheat |
| spellingShingle | Lei Li Jindong Liu Muhammad Adeel Hassan Duoxia Wang Keyi Wang Shuaipeng Fei Jianqi Zeng Awais Rasheed Xianchun Xia Zhonghu He Yong He Yong Zhang Yonggui Xiao High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat Crop Journal Aerial digital imaging Active accumulated temperature Chlorophyll QTL Senescence rate Common wheat |
| title | High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat |
| title_full | High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat |
| title_fullStr | High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat |
| title_full_unstemmed | High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat |
| title_short | High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat |
| title_sort | high throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat |
| topic | Aerial digital imaging Active accumulated temperature Chlorophyll QTL Senescence rate Common wheat |
| url | http://www.sciencedirect.com/science/article/pii/S2214514125001102 |
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