LeafPoseNet: A low-cost, high-accuracy method for estimating flag leaf angle in wheat
में बचाया:
| में प्रकाशित: | Crop Journal vol. 13, no. 5 (Oct 2025), p. 1543-1554 |
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| मुख्य लेखक: | |
| अन्य लेखक: | , , , , , |
| प्रकाशित: |
KeAi Publishing Communications Ltd
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| विषय: | |
| ऑनलाइन पहुंच: | Citation/Abstract Full Text Full Text - PDF |
| टैग: |
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3270768460 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2095-5421 | ||
| 022 | |a 2214-5141 | ||
| 024 | 7 | |a 10.1016/j.cj.2025.07.002 |2 doi | |
| 035 | |a 3270768460 | ||
| 045 | 2 | |b d20251001 |b d20251031 | |
| 100 | 1 | |a Wang, Qi |u Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China | |
| 245 | 1 | |a LeafPoseNet: A low-cost, high-accuracy method for estimating flag leaf angle in wheat | |
| 260 | |b KeAi Publishing Communications Ltd |c Oct 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Flag leaf angle (FLANG) is one of the key traits in wheat breeding due to its impact on plant architecture, light interception, and yield potential. An image-based method of measuring FLANG in wheat would reduce the labor and error of manual measurement of this trait. We describe a method for acquiring in-field FLANG images and a lightweight deep learning model named LeafPoseNet that incorporates a spatial attention mechanism for FLANG estimation. In a test dataset with wheat varieties exhibiting diverse FLANG, LeafPoseNet achieved high accuracy in predicting the FLANG, with a mean absolute error (MAE) of 1.75°, a root mean square error (RMSE) of 2.17°, and a coefficient of determination (К?) of 0.998, significantly outperforming established models such as YOLO12x-pose, YOLO11x-pose, HigherHRNet, Lightweight-OpenPose, and LitePose. We performed phenotyping and genome-wide association study to identify the genomic regions associated with FLANG in a panel of 221 diverse bread wheat genotypes, and identified 10 quantitative trait loci. Among them, qFLANG2B.2 was found to harbor a potential causal gene, TraesCS2B01G313700, which may regulate FLANG formation by modulating brassinosteroid levels. This method provides a low-cost, high-accuracy solution for in-field phenotyping of wheat FLANG, facilitating both wheat FLANG genetic studies and ideal plant type breeding. | |
| 651 | 4 | |a China | |
| 653 | |a Measurement methods | ||
| 653 | |a Mean square errors | ||
| 653 | |a Wheat | ||
| 653 | |a Interception | ||
| 653 | |a Population | ||
| 653 | |a Light interception | ||
| 653 | |a Accuracy | ||
| 653 | |a Deep learning | ||
| 653 | |a Genome-wide association studies | ||
| 653 | |a Smartphones | ||
| 653 | |a Quantitative trait loci | ||
| 653 | |a Plant breeding | ||
| 653 | |a Leaves | ||
| 653 | |a Genomes | ||
| 653 | |a Genotypes | ||
| 653 | |a Gene mapping | ||
| 653 | |a Phenotyping | ||
| 653 | |a Agricultural economics | ||
| 653 | |a Low cost | ||
| 653 | |a Leaf angle | ||
| 653 | |a Root-mean-square errors | ||
| 653 | |a Cloning | ||
| 653 | |a Chromosomes | ||
| 653 | |a Image acquisition | ||
| 653 | |a Algorithms | ||
| 653 | |a Cultivars | ||
| 653 | |a Estimation | ||
| 700 | 1 | |a Sun, Fujun |u Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China | |
| 700 | 1 | |a Qiao, Yi |u Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China | |
| 700 | 1 | |a Li, Zongyang |u Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China | |
| 700 | 1 | |a Zheng, Shusong |u Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China | |
| 700 | 1 | |a Ling, Hong-Qing | |
| 700 | 1 | |a Jiang, Ni | |
| 773 | 0 | |t Crop Journal |g vol. 13, no. 5 (Oct 2025), p. 1543-1554 | |
| 786 | 0 | |d ProQuest |t Agriculture Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3270768460/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3270768460/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3270768460/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |