Sha Mo, Fu Xiuqing, Bai Ruxiao, Zhong Zhibo, Jiang Haoyu, Li Fei, Yang Siyu
College of Engineering, Nanjing Agricultural University, Nanjing, China.
Institute of Farmland Water Conservancy and Soil-Fertilizer, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, China.
Front Plant Sci. 2024 Oct 9;15:1474321. doi: 10.3389/fpls.2024.1474321. eCollection 2024.
Seeds will display different germination states during the germination process, and their good or bad state directly influences the subsequent growth and yield of the crop. This study aimed to address the difficulties of obtaining the images of seed germination process in all time series and studying the dynamic evolution law of seed germination state under stress conditions. A licorice sprouting experiment was performed using a seed sprouting phenotype acquisition system to obtain images of the sprouting process of licorice in full-time sequence. A labeled dataset of licorice full-time sequence sprouting process images was constructed based on the four states of unsprouted, sprouted, cracked, and shelled in the sprouting process. An optimized model, YOLOv8-Licorice, was developed based on the YOLOv8-n model and its effectiveness was demonstrated by comparative and ablation tests. Different salt stress environments were simulated via NaCl aqueous solution concentration, and germination experiments of licorice seeds were performed under different salt stresses. The germination state of licorice under different salt stress environments was detected using the YOLOv8-Licorice detection model. Percentage curve of licorice seeds in an unsprouted state displayed a continuous decreasing trend. For the percentage curve of licorice seeds in the sprouted state, an increasing and then decreasing trend was observed under the condition of 0-200 mmol/L NaCl solution, and a continuous increasing trend was observed under the condition of 240-300 mmol/L NaCl solution. Licorice seeds in the cracked state demonstrated percentage curves with an increasing and then decreasing trend under the condition of 0-140 mmol/L NaCl solution and a continuous increasing trend under the condition of 160-300 mmol/L NaCl solution. The percentage curve of licorice seeds in shelled state displayed a continuous increasing trend in 0-200 mmol/L NaCl solution condition and remained horizontal in 220-300 mmol/L NaCl solution condition. Overall, this study provides a valuable method involving the seed sprouting phenotype acquisition system and the proposed method for detecting the germination state of licorice seeds. This method serves as a valuable reference to comprehensively understand the seed sprouting process under triggering treatment.
种子在萌发过程中会呈现出不同的萌发状态，其状态的好坏直接影响作物后续的生长和产量。本研究旨在解决获取种子萌发全过程图像的困难，并研究胁迫条件下种子萌发状态的动态演变规律。利用种子萌发表型采集系统进行了甘草发芽实验，以全时序获取甘草发芽过程的图像。基于发芽过程中未发芽、发芽、开裂和脱壳这四种状态，构建了甘草全时序发芽过程图像的标注数据集。基于YOLOv8 - n模型开发了优化模型YOLOv8 - Licorice，并通过对比试验和消融试验验证了其有效性。通过NaCl水溶液浓度模拟不同的盐胁迫环境，对甘草种子进行不同盐胁迫下的萌发实验。使用YOLOv8 - Licorice检测模型检测不同盐胁迫环境下甘草的萌发状态。未发芽状态的甘草种子百分比曲线呈持续下降趋势。发芽状态的甘草种子百分比曲线在0 - 200 mmol/L NaCl溶液条件下呈先增加后下降趋势，在240 - 300 mmol/L NaCl溶液条件下呈持续增加趋势。开裂状态的甘草种子在0 - 140 mmol/L NaCl溶液条件下百分比曲线呈先增加后下降趋势，在160 - 300 mmol/L NaCl溶液条件下呈持续增加趋势。脱壳状态的甘草种子百分比曲线在0 - 200 mmol/L NaCl溶液条件下呈持续增加趋势，在220 - 300 mmol/L NaCl溶液条件下保持水平。总体而言，本研究提供了一种有价值的方法，涉及种子萌发表型采集系统以及所提出的检测甘草种子萌发状态的方法。该方法为全面了解触发处理下的种子萌发过程提供了有价值的参考。
