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15个谷子品种农艺性状与产量的综合评价 被引量:2
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作者 韩燕丽 樊永强 +3 位作者 王彦辉 苗兆丰 刘劲哲 董亚南 《湖北农业科学》 2022年第11期10-14,共5页
以15个谷子(Setaria italiea)品种为试验材料,采用相关分析和灰色关联度分析相结合的方法对与产量相关的农艺性状进行综合评价。结果表明,谷子品种的农艺性状均存在明显差异,变异系数为2.05%~22.66%;6个农艺性状与产量呈显著正相关;农... 以15个谷子(Setaria italiea)品种为试验材料,采用相关分析和灰色关联度分析相结合的方法对与产量相关的农艺性状进行综合评价。结果表明,谷子品种的农艺性状均存在明显差异,变异系数为2.05%~22.66%;6个农艺性状与产量呈显著正相关;农艺性状对谷子产量影响的大小顺序依次为千粒重>出谷率>单穗重>生育期>穗粒重>穗长>株高>穗粗。说明谷子产量育种中要重点对具有千粒重、出谷率、单穗重性状突出的种质资源进行利用。 展开更多
关键词 谷子(Setaria italiea) 灰色相关度分析 农艺性状 产量
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基于SFLA-GRNN模型的基坑地表最大沉降预测 被引量:20
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作者 钟国强 王浩 +2 位作者 李莉 王成汤 谢壁婷 《岩土力学》 EI CAS CSCD 北大核心 2019年第2期792-798,808,共8页
为可靠预测基坑周边地表沉降的发展趋势,提出了一种基于混合蛙跳算法和广义回归神经网络模型的基坑地表最大沉降预测模型(SFLA-GRNN模型)。首先,在沉降机制分析并初选输入变量集的基础上,利用灰色相关度分析对模型输入、输出变量的相关... 为可靠预测基坑周边地表沉降的发展趋势,提出了一种基于混合蛙跳算法和广义回归神经网络模型的基坑地表最大沉降预测模型(SFLA-GRNN模型)。首先,在沉降机制分析并初选输入变量集的基础上,利用灰色相关度分析对模型输入、输出变量的相关性进行量化,并剔除与输出变量相关性明显偏小的输入变量;其次,利用混合蛙跳算法(SFLA)对广义回归神经网络模型(GRNN)的平滑因子进行优化确定,减少人为因素对模型精度和泛化能力的不良影响;最后,利用筛选得到的输入变量集建立基坑地表最大沉降预测的广义回归神经网络模型。实例应用及对比计算结果表明,基于灰色相关度的输入变量筛选和基于混合蛙跳算法的平滑因子优化均能够有效提高广义回归神经网络模型的精度和泛化能力,以上结论可为类似变形预测提供参考。 展开更多
关键词 混合蛙跳算法 广义回归神经网络 平滑因子 灰色相关度分析 沉降预测
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Correlation, Principal Component and Grey Relation Analysis of Sweetpotato Root Biological Traits
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作者 汪宝卿 杜召海 +3 位作者 张海燕 解备涛 王庆美 张立明 《Agricultural Science & Technology》 CAS 2015年第3期479-485,共7页
[Objective] This study was conducted to explore the internal relationship among root biological traits of sweetpotato, as well as the regularity in their formation and differentiation. [Method] The root traits of 10 s... [Objective] This study was conducted to explore the internal relationship among root biological traits of sweetpotato, as well as the regularity in their formation and differentiation. [Method] The root traits of 10 sweetpotato cultivars were measured through hydroponic culture in a greenhouse and field survey, and then their correlations were analyzed by statistical methods. [Result] The root morphological traits of sweetpotato at seedling stage such as projected area, surface area, average diameter and volume processed the highest contribution rate (80.56%) 10 d after transplanting, and the contribution rate of root average diameter reached 27.79% 20 d after transplanting. Storage root fresh weight per plant shared extremely significant positive correlations with storage root fresh weight of penultimate node and storage root fresh weight of antepenultimate node, and a significant positive corre- lation with commercial storage root number, and a significant negative correlation with storage root number of penultimate node. Among them, the correlation coeffi- cient of storage root fresh weight per plant with storage root fresh weight of antepenultimate node was the highest (0.659 5). Fifteen days after transplanting, storage root fresh weight per plant had significant negative correlations with root projected area, surface area and volume. There was a significant positive correlation between root dry weight and storage root fresh weight per plant 25 d after transplanting. Root dry weight, volume, length, average diameter of sweetpotato seedlings had higher relational degrees with storage root fresh weight per plant. Ten and twenty days after transplanting were important time for the growth and differentiation of sweetpotato roots. In addition, node length and planting depth had certain influence on sweetpotato yield, and direct relationship existed between the seedling root biological traits and storage root yield of sweetpotato. [Conclusion] The results provide theoretical support for standard cultivation and new variety breeding of sweetpotato. 展开更多
关键词 SWEETPOTATO ROOTS CORRELATION Principal component analysis Grey relational analysis
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