{"title":"利用叶片尺寸和重量模拟水芹和萝卜的个体叶面积","authors":"M. H. Aminifard, H. Bayat, Mehdi Khayyat","doi":"10.37855/jah.2019.v21i01.04","DOIUrl":null,"url":null,"abstract":"Leaf area information is required in various horticultural and physiological studies. Leaf area measurements require easy, quick and possibly non-destructive methods. The objective of this study was to establish equations to estimate leaf area (LA) using length (L), width (W), fresh weight (FW) and dry weight (DW), length×width (L×W), length + width (L+W), width/length (W/L), length2 (L2) and width2 (W2) of cress (Lepidium sativum L.) leaves as a leafy vegetable and radish (Raphanus sativus L.) as a root vegetable. A soilcultured experiment was carried out in 2010 under greenhouse conditions to study relationship between leaf dimension and weight with LA of these two vegetable plants. Observed LA was obtained by an automatic measuring device and leaf dimensions were measured by a ruler. Regression analyses of LA versus L, W, FW, DW, L×W, L+W, W/L, L2 and W2 led several models that could be used for estimating the area of individual cress and radish leaves. A linear model employing FW as an independent variables [LA=0.295 (Fresh W.)+ 1.430] resulted in the most accurate estimate (R2 = 0.912, RMSE = 1.52) of cress LA. For radish, a linear model using W as an independent variable [LA=22.50 (W) + 7.46] showed the most accuracy (R2 = 0.874, RMSE = 11.26) estimating LA. Validation of the regression models showed that the correlation between measured and simulated values using these equations were quite acceptable (R2 = 0.922, 0.876).","PeriodicalId":39205,"journal":{"name":"Journal of Applied Horticulture","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling individual leaf area of cress and radish using leaf dimensions and weight\",\"authors\":\"M. H. Aminifard, H. Bayat, Mehdi Khayyat\",\"doi\":\"10.37855/jah.2019.v21i01.04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Leaf area information is required in various horticultural and physiological studies. Leaf area measurements require easy, quick and possibly non-destructive methods. The objective of this study was to establish equations to estimate leaf area (LA) using length (L), width (W), fresh weight (FW) and dry weight (DW), length×width (L×W), length + width (L+W), width/length (W/L), length2 (L2) and width2 (W2) of cress (Lepidium sativum L.) leaves as a leafy vegetable and radish (Raphanus sativus L.) as a root vegetable. A soilcultured experiment was carried out in 2010 under greenhouse conditions to study relationship between leaf dimension and weight with LA of these two vegetable plants. Observed LA was obtained by an automatic measuring device and leaf dimensions were measured by a ruler. Regression analyses of LA versus L, W, FW, DW, L×W, L+W, W/L, L2 and W2 led several models that could be used for estimating the area of individual cress and radish leaves. A linear model employing FW as an independent variables [LA=0.295 (Fresh W.)+ 1.430] resulted in the most accurate estimate (R2 = 0.912, RMSE = 1.52) of cress LA. For radish, a linear model using W as an independent variable [LA=22.50 (W) + 7.46] showed the most accuracy (R2 = 0.874, RMSE = 11.26) estimating LA. Validation of the regression models showed that the correlation between measured and simulated values using these equations were quite acceptable (R2 = 0.922, 0.876).\",\"PeriodicalId\":39205,\"journal\":{\"name\":\"Journal of Applied Horticulture\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Horticulture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37855/jah.2019.v21i01.04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Horticulture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37855/jah.2019.v21i01.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
Modelling individual leaf area of cress and radish using leaf dimensions and weight
Leaf area information is required in various horticultural and physiological studies. Leaf area measurements require easy, quick and possibly non-destructive methods. The objective of this study was to establish equations to estimate leaf area (LA) using length (L), width (W), fresh weight (FW) and dry weight (DW), length×width (L×W), length + width (L+W), width/length (W/L), length2 (L2) and width2 (W2) of cress (Lepidium sativum L.) leaves as a leafy vegetable and radish (Raphanus sativus L.) as a root vegetable. A soilcultured experiment was carried out in 2010 under greenhouse conditions to study relationship between leaf dimension and weight with LA of these two vegetable plants. Observed LA was obtained by an automatic measuring device and leaf dimensions were measured by a ruler. Regression analyses of LA versus L, W, FW, DW, L×W, L+W, W/L, L2 and W2 led several models that could be used for estimating the area of individual cress and radish leaves. A linear model employing FW as an independent variables [LA=0.295 (Fresh W.)+ 1.430] resulted in the most accurate estimate (R2 = 0.912, RMSE = 1.52) of cress LA. For radish, a linear model using W as an independent variable [LA=22.50 (W) + 7.46] showed the most accuracy (R2 = 0.874, RMSE = 11.26) estimating LA. Validation of the regression models showed that the correlation between measured and simulated values using these equations were quite acceptable (R2 = 0.922, 0.876).
期刊介绍:
The Journal of Applied Horticulture (JAH) is an official publication of the Society for the Advancement of Horticulture, founded in 1999. JAH is a triannual publication, publishes papers of original work (or results), & rapid communications and reviews on all aspects of Horticultural Science which can contribute to fundamental and applied research on horticultural plants and their related products. The essential contents of manuscripts must not have been published in other refereed publications. Submission of a manuscript to the Journal implies no concurrent submission elsewhere.