摘要
以"烟富6号"、"富红早嘎"、"长富2号"苹果幼树为试材,拉枝培养为细纺锤形,对秋季摘叶前后3种苹果树采集二维数字图像,运用计盒维数法和Photoshop软件处理获得相应的分形维数;再结合3种枝长(中央领导干长度、主枝长度、侧枝长度)、叶干重与分形维数的线性回归分析,研究细纺锤形苹果幼树叶片和枝条状况对分形维数的影响。结果表明:3个品种的分形维数、枝长、叶干重之间均存在显著差异;叶片分布对树冠分形维数的贡献率(CRL)为14.72%～16.70%;随着枝长度和叶干重的增加,其分形维数和CRL亦显著增加。运用分形维数及CRL指标可以在生长季节评价苹果树形结构,指导今后的整形修剪。
Three cuhivars were used as materials, their were ＇ Changfu 2 ＇, ＇ Fuhongzaoga ＇, ＇ Yanfu 6 ＇. All trees were trained to a slender spindle configuration. The fractal dimension of 2-D images with and without leaves employing a box-counting dimension number combined with Photoshop image processing technology were investigated. The influence of leaves weight and shoots length on fractal dimension number were analyzed by investigated the relationship among three kind of shoots length （trunk, main shoots, lateral shoots）, leaves weight, and linear regression of 2-D fractal dimension number. The results showed that the fractal dimension, the shoot length and leaf weight were significantly different among the three cultivarsThe contribution rate of leaves （CRL） to tree architecture varied between 14. 72% to 16. 70% for the three eultivars;As the shoot length and leaf weight increased,the fractal dimension and CRL significantly increased. The fractal dimension can be used as an index to evaluate the architecture of apple trees,and guidelines to direct train, thin activities.
出处
《北方园艺》
CAS
北大核心
2012年第22期6-9,共4页
Northern Horticulture
基金
国家现代农业(苹果)产业技术体系资助项目(CARS-28)
陕西省重大科技专项资助项目(2011KTZB02-02-05)
陕西省果业专项资助项目(2011-06)
关键词
分形维数
细纺锤形
枝长
叶干重
叶片贡献率(CRL)
fractal dimension
slender spindle configuration
shoot length
leaf weight
contribution rate of leaves （CRL）
