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不同基因型月季长宽法估算叶面积模型及有效性检验

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[目的]研究不同基因型月季叶面积估算模型,并对其进行有效性检验,为月季叶面积测量和月季生长发育数字模型构建提供参考依据。[方法]以300个月季品种的6000片叶片为试验材料,采用游标卡尺测定每个品种月季叶片的叶长和叶宽,采用ImageJ图像处理软件获得测量叶面积,基于决定系数(R2)、均方根误差(RMSE)、归一化均方根误差(NRMSE)对建立的7个叶面积模型通过模拟叶面积分别与各品种的测量叶面积进行拟合,基于不同基因型月季的叶片品系、叶片形态的叶形系数3个因素对月季进行分类和模型系数的计算。[结果]7个叶面积估算模型中,模型3、4、7的模拟叶面积和测量叶面积分布于1∶1线附近,说明能较好地预测月季叶面积,其中模型4的R2为0。907,RMSE为0。726 cm2,NRMSE为0。082 cm2,精度较高且简便、通用性好,适用于大规模田间测量。不同月季品系间的模型系数无显著差异(P>0。05)。圆形叶片的平均模型系数显著高于卵圆形和椭圆形叶片(P<0。05,下同)。将叶片按叶形系数以0。2为1个间隔分为7类的分类下RMSE总值为0。863 cm2,小于利用叶形系数以0。4间隔分类(0。894 cm2)。随机选取70个月季品种对其叶面积模型进行验证,结果显示,叶形系数因子的叶面积模型系数的平均相对误差值为-0。499%,小于5%,表明基于叶形系数的叶面积模型系数可适用于测定月季叶面积。[结论]计算月季叶面积精度较高且通用性较好的模型公式为叶面积=平均模型系数×叶长×叶宽,叶形系数以0。2为1个间隔更能准确反映月季叶片的形状特征,利用平均模型系数计算的叶面积精度较高。
Leaf area estimation model by length and width method of rose with different genotypes and validity test
[Objective]To study the estimation models of rose leaf area for different genotypes and test their validity,which could provide reference for measuring rose leaf area and constructing digital models of rose growth and develop-ment.[Method]Using 6000 leaves of 300 rose varieties as experimental materials,the longest leaf length and widest leaf width of each variety's rose leaves were measured using a vernier caliper.The actual measured leaf area was obtained using ImageJ image processing software.Based on the coefficient of determination(R2),root mean square error(RMSE),and normalized root mean square error(NRMSE),7 leaf area models were established to simulate leaf area and fit it to the actual measured leaf area of each variety.Based on the leaf strain,leaf shape and leaf shape coefficient of different genotypes of rose,the classification and model coefficient were calculated.[Result]Among the 7 leaf area estimation models,the simulated leaf area and actual measured leaf area of models 3,4,and 7 were distributed near 1∶1 line,indi-cating good prediction of rose leaf area.Among them,model 4 had an R2 of 0.907,RMSE of 0.726 cm2,and NRMSE of 0.082 cm2,with high accuracy,simplicity,and good universality,suitable for large-scale field measurements.There was no significant difference in the model coefficients between different rose strains(P>0.05).The average model coefficient of circular leaves was significantly higher than that of oval and elliptical leaves(P<0.05,the same below).Under the clas-sification of leaves into 7 categories with a leaf shape coefficient of 0.2 intervals,the mean RMSE was 0.863 cm2,which was lower than the classification using a leaf shape coefficient of 0.4 intervals(0.894 cm2).Randomly selecting 70 rose varieties to validate their leaf area model,the results showed that the average relative error of the leaf area model coeffi-cient based on the leaf shape coefficient factor was 0.499%,indicating that the leaf area model coefficient based on the leaf shape coefficient could be used to determine rose leaf area.[Conclusion]The model formula for calculating rose leaf area with high accuracy and good universality is:leaf area=leaf area×leaf length×leaf width,the leaf shape coefficient with an interval of 0.2 can more accurately reflect the shape characteristics of rose leaves,and the obtained model coeffi-cients have higher accuracy in calculating leaf area.

roseleaf area modellength width methoddifferent genotypes

叶韵宇、王俊云、印轩鹏、陈俊吉、朱洪凤、段升升、吴红芝

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云南农业大学园林园艺学院,云南 昆明 650201

云南省花卉技术培训推广中心,云南 昆明 650034

月季 叶面积模型 长宽法 不同基因型

2024

南方农业学报
广西壮族自治区农业科学院

南方农业学报

CSTPCD北大核心
影响因子:0.83
ISSN:2095-1191
年,卷(期):2024.55(11)