摘要
为了量化贮藏环境对黄瓜果实采后品质的影响,收集了2018—2019年2个生长季3种动态贮藏环境条件下的气象和果实品质观测数据,以温度为环境驱动因素,建立了基于标准化胁迫积温(S tan_(SAT))的黄瓜采后品质模拟模型,并探究了果实外观品质和理化品质指标间的量化关系。结果表明,果实鲜质量(Wf)与体积(V)、色光值(CV)与色调(H)、果实含水量(FW)与可溶性固形物含量(SSC)之间呈线性关系;果形指数(SI)与果实密度(ρ)呈二次函数关系;DV(暗度值)与H之间呈对数关系。品质评价值(QE)、DV、CV、SI、H和ρ与S tan_(SAT)呈线性关系;SSC与S tan_(SAT)呈二次函数关系。F、ρ、SI、H、DV、CV、SSC和QE采后品质指标模拟值与观测值均方根误差(RMSE)分别为0.99 N、36.15 kg·m^(-3)、0.75、0.24、1.39、449、0.75%和3.63,归一化均方根误差(NRMSE)在1.58%~17.85%,表明该模型有较高的模拟精度。研究结果可为黄瓜贮藏智慧管理提供理论依据和技术支持。
To quantify the impact of storage environment on the postharvest quality of cucumber fruits,this study collected meteorological and fruit quality observation data under three kinds of dynamic storage environment conditions in two growth seasons from 2018 to 2019.This study used temperature as an environmental driving factor to explore the quantitative relationship between fruit external morphology quality and physicochemical quality indicators,and established cucumber postharvest quality simulation model based on standardized stress accumulated temperature(S tan_(SAT)).The results showed that:1)There was a linear relationship between fruit fresh weight(Wf)and fruit volume(V),chromatic value(CV)and hue(H),fruit water content(FW)and soluble solid content(SSC).There was a quadratic relationship between fruit shape index(SI)and fruit density(ρ).There was a logarithm relationship between DV and H 2)Quality evaluation values(QE),DV,CV,SI,H,andρwere related to S tan_(SAT)showed a linear relationship.SSC was related to S tan_(SAT)showed a quadratic relationship.3)The root mean square errors(RMSE)between simulated and observed postharvest quality indicators of F,ρ,SI,H,DV,CV,SSC,and QE respectively were 0.99 N,36.15 kg·m^(-3),0.75,0.24,1.39,449,0.75%,and 3.63.The normalized root mean square errors(NRMSE)ranged from 1.58%to 17.85%,indicated that the model had high simulation accuracy.The results can provide theoretical basis and technical support for intelligent management of cucumber storage.
作者
程陈
董朝阳
钱汤浩
袁国印
杨静
黎贞发
CHENG Chen;DONG Chaoyang;QIAN Tanghao;YUAN Guoyin;YANG Jing;LI Zhenfa(Institute of Ecology,Lishui University,Lishui 323000,Zhejiang,China;College of Resources and Environment Sciences,China Agricultural University,Beijing 100193,China;Tianjin Climate Center,Tianjin 300074,China)
出处
《中国瓜菜》
CAS
北大核心
2024年第5期107-114,共8页
China Cucurbits And Vegetables
基金
天津市蔬菜产业技术体系创新团队科研专项(201716)
丽水市“百名博士入百家企业人才引领计划”项目(2022002)
丽水学院人才启动基金(6604CC01Z)
浙江省大学生科技创新活动计划(新苗人才计划)(2023R480014,2023R480021)
国家级大学生创新创业训练计划(S202210352001X,S202210352009)。
关键词
黄瓜
标准化胁迫积温
外观品质
理化品质
模拟模型
Cucumber
Standardized stress accumulated temperature
External morphology quality
Physicochemical quality
Simulation model
