吉林农业大学学报2025，Vol.47Issue(4)：626-636,11.DOI:10.13327/j.jjlau.2025.0167
不同激光强度对小麦产量的影响
Effects of Different Laser Intensities on Wheat Yield
摘要
Abstract
Wheat is an important food crop in China,and its sustainable production is facing a dual challenge from population growth and climate change.To break through the limitations of single light quality research and to explore the key mechanisms of laser collaborative regulation of wheat yield,this study used different relative intensity combinations of 460 nm blue light and 670 nm red light.By simulating the natural photoperiod(with fixed illumination periods in the morning and evening),a controllable light environment was constructed to systematically investigate the effects of laser treat-ment on the yield components of wheat(such as the number of grains per spike and thousand-grain weight).The experimental cycle lasted for four months.Machine learning models,including random forest and gradient boosting regression models,and deep learning models,such as multilayer percep-tron regression models,were employed to quantify the correlation between laser treatment and yield based on multidimensional phenotypic data.The results showed that when the relative intensity com-bination of blue and red light was 9∶6,the model predicted that the single-plant wheat yield could reach as high as 2.30 g.Moreover,the prediction accuracy of machine learning and deep learning models(such as R²)was superior to that of traditional statistical methods.This study broke through the limitations of single light quality regulation and elucidated the key mechanisms by which red and blue lasers collaboratively affected wheat yield.The findings not only provide an optimized solution for precise light environment regulation for plateau farmers but also offer theoretical support for the technological upgrade of smart agriculture in the field of facility cultivation.By applying this technol-ogy to wheat cultivation on plateaus,it is expected to effectively mitigate the impact of unstable natu-ral light caused by climate change on wheat yield.关键词
激光/小麦/单株产量预测/随机森林/梯度提升/多层感知机回归Key words
laser/wheat/single-plant yield prediction/random forest/gradient boosting/multi-layer perceptron regression分类
农业科技引用本文复制引用
杨润玲,郎云雯,吴红刚,车英豪,张天顺,纪元霞,鲁绍坤..不同激光强度对小麦产量的影响[J].吉林农业大学学报,2025,47(4):626-636,11.基金项目
云南省科技人才与平台计划项目(202405AF140119),昭通市科技局项目(2022ZTYX27),云南省人力资源和社会保障厅项目(2024) （202405AF140119）
