| 杨梅果实生长指标的数学模型及各指标间的相关性分析 |
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| 引用本文： | 张淑文,梁森苗,郑锡良,朱婷婷,任海英,戚行江.杨梅果实生长指标的数学模型及各指标间的相关性分析[J].核农学报,2020,34(5):1020-1027. |
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| 作者姓名： | 张淑文 梁森苗 郑锡良 朱婷婷 任海英 戚行江 |
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| 作者单位： | 浙江省农业科学院园艺研究所,浙江 杭州 310021 |
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| 基金项目： | 浙江省农业(果品)新品种选育重大科技专项;浙江省农业科学院地方科技合作项目 |
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| 摘 要： | 为揭示白杨梅果实颜色和单果质量等相关性状的变化规律,以及各指标间的相互关系,本研究以10年生水晶种为试材,测定其果实生长发育过程中各生长指标的动态变化,选择3种理论生长方程对单果质量、纵径、横径、果形指数、果实明度(L*)、红绿值/黄蓝值(a*/b*)、柠檬酸、草酸、葡萄糖、蔗糖和果糖等11个指标进行拟合,并根据拟合结果确定合适的生长方程确立数学模型;同时,对果实生长各指标间的相关性进行分析。结果表明,L*、果形指数、柠檬酸和蔗糖等指标适合选择三项式方程,a*/b*、草酸、果糖和葡萄糖等指标符合二项式方程,单果质量、纵径和横径等指标符合Logistic方程。在果实发育过程中,a*/b*与单果质量、纵径、横径、蔗糖、葡萄糖、果糖和明度之间呈极显著正相关,a*/b*与果形指数和柠檬酸之间呈显著负相关,草酸与L*和a*/b*之间呈极显著负相关。本研究结果为基于颜色对杨梅品质进行无损伤检测和模拟、预测果实发育奠定了理论基础。
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| 关 键 词： | 杨梅 果实生长指标 数学模型 动态变化 相关性分析 |
| 收稿时间： | 2018-11-20 |
Mathematical Model and Correlation Analysis of Chinese Bayberry Fruit Growth Indexes |
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| ZHANG Shuwen,LIANG Senmiao,ZHENG Xiliang,ZHU Tingting,REN Haiying,QI Xingjiang.Mathematical Model and Correlation Analysis of Chinese Bayberry Fruit Growth Indexes[J].Acta Agriculturae Nucleatae Sinica,2020,34(5):1020-1027. |
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| Authors: | ZHANG Shuwen LIANG Senmiao ZHENG Xiliang ZHU Tingting REN Haiying QI Xingjiang |
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| Institution: | Institute of Horticulture, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021 |
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| Abstract: | In order to certify the variation regularity of fruit color, fruit quality and other related traits, as well as the relation among each indexes, Chinese bayberry cultivar Shuijingzhong (Myrica rubar cv. Shuijingzhong) of ten years old tree was used as test material to determine dynamic changes in growth indexes of fruit during the growth and development period. Three theoretical growth equations were adopted to fit 11 indexes including single fruit weight, lengthwise diameter, broadwise diameter, fruit shape index, L*, a*/b*, citric acid, oxalic acid, glucose, sucrose and fructose. The appropriate growth equation was established based on the fitting results. Meanwhile, the correlation among fruit growth indexes was analyzed. It was indicated that the relation of L*, fruit shape index, citric acid and sucrose were in lines with trinominal equations, the relation of a*/b*, oxalic acid, fructose and glucose were in lines with binomial equations, and the relation of single fruit weight, lengthwise diameter and broadwise diameter are in lines with Logistic equations. During fruit development, positive correlations between a*/b* and single fruit weight, lengthwise diameter, broadwise diameter, glucose, sucrose, fructose and L* were found to be statistically significant, while significant negative correlations between a/band fruit shape index and citric acid were found, oxalic acid was significant negative correlated with L* and a*/b*. This study provided a theoretical foundation for non-destructive detection, simulation and prediction of fruit development. |
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| Keywords: | Chinese bayberry fruit growth indexs mathematical model dynamic variation correlation analysis |
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