摘要
种子含水量是种子质量评定的重要指标,其准确、快速地测定对种子质量定级尤为重要。为提高种子质量,种子包衣技术在种子生产和贸易中已较为常见。因外围包衣材料的影响,传统的高(低)恒温烘干法无法准确测定种子含水量,往往严重低估包衣种子的实际含水量。鉴于此,本研究以紫花苜蓿、披碱草、多年生黑麦草、鸭茅等4个物种的包衣种子为试验材料,分析包衣种子水活度和裸种子含水量之间的关系,构建基于水活度的包衣种子含水量预测模型。结果表明紫花苜蓿、披碱草、多年生黑麦草、鸭茅4个物种预测模型的拟合优度分别为0.9003、0.9124、0.9076、0.9323,水分预测相对误差分别为2.87%、4.08%、3.07%、4.14%,表明种子水活度可用于包衣种子含水量的无损快速测定。
Moisture content is a key indicator of seed quality,and its accurate and rapid determination is essential for seed grading.With the increasing use of seed coating technology in seed production and trade,traditional high(low)constant-temperature method often severely underestimated the actual mois-ture content of coated seeds due to the influence of coating materials.To address this issue,four coated for-age species:Medicago sativa,Elymus dahuricus,Lolium perenne and Dactylis glomerata,were selected as experimental materials.By analyzing the relationship between water activity of coated seeds and the moisture content of naked seeds,a predicted model for coated seeds moisture content based on water activ-ity was developed.The goodness-of-fit values of the prediction models for the four species were 0.9003,0.9124,0.9076,and 0.9323,respectively,with relative errors of 2.87%,4.08%,3.07%and 4.14%.These results indicated that seed water activity can serve as a reliable,non-destructive,and rapid indicator for determining the moisture content of coated seeds.
作者
潘佳
刘亚洁
胡小文
PAN Jia;LIU Yajie;HU Xiaowen(College of Pastoral Agriculture Science and Technology,Lanzhou University/Official Herbage and Turfgrass Seed Testing Center,Lanzhou,Ministry of Agriculture and Rural Affairs,Lanzhou 730020,China)
出处
《中国草地学报》
北大核心
2025年第8期142-148,共7页
Chinese Journal of Grassland
基金
甘肃省首席科学家负责制项目(23ZDKA013)
甘肃省重大专项项目(24ZD13NA016)。
关键词
数学模型
水活度
指数函数
裸种子
决定系数
拟合优度
Mathematical model
Water activity
Logarithmic function
Naked seed
Coefficient of determination
Goodness-of-fit
