基于标准化胁迫积温的黄瓜采后品质模拟模型

Simulation model for postharvest quality of cucumber based on standardized stress accumulated temperature

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(Stan_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(W_f)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 Stan_SAT呈线性关系； SSC与 Stan 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。

Abstract

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 ( Stan_SAT). The results showed that: 1) There was a linear relationship between fruit fresh weight (W _f) 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, and ρ were related to Stan_SAT showed a linear relationship. SSC was related to Stan 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.

关键词

黄瓜 / 标准化胁迫积温 / 外观品质 / 理化品质 / 模拟模型

Key words

Cucumber / Standardized stress accumulated temperature / External morphology quality / Physicochemical quality / Simulation model

参考文献

[1] 程陈, 冯利平, 薛庆禹, 等. 日光温室黄瓜生长发育模拟模型[J]. 应用生态学报, 2019, 30(10): 3491-3500.

[2] 李雪, 赵士文, 包星星, 等. 提高绿光占比对黄瓜幼苗形态、光合性状及碳水化合物的影响[J]. 中国农业大学学报, 2024, 29(2): 58-65.

[3] BALLISTRERI G, CONTINELLA A, GENTILE A, et al. Fruit quality and bioactive compounds relevant to human health of sweet cherry (Prunus avium L.) cultivars grown in Italy[J]. Food Chemistry, 2013, 140(4): 630-638.

[4] 李高潮, 霍强强, 范崇辉, 等. 不同贮藏温度与采收期对‘秦超’桃果实品质的影响[J]. 北方园艺, 2017(14): 136-143.

[5] SINNATHAMBY S, DOUGLAS-MANKIN K R, CRAIGE C. Field-scale calibration of crop-yield parameters in the Soil and Water Assessment Tool (SWAT)[J]. Agricultural Water Management, 2017, 180: 61-69.

[6] XANTHOPOULOU A, GANOPOULOS I, PSOMOPOULOS F, et al. De novo comparative transcriptome analysis of genes involved in fruit morphology of pumpkin cultivars with extreme size difference and development of EST-SSR markers[J]. Gene, 2017, 622: 50-66.

[7] YANG X Q, LI Y, ZHANG W W, et al. Fine mapping of the uniform immature fruit color gene uin cucumber (Cucumis sativus L.)[J]. Euphytica, 2014, 196(3): 341-348.

[8] JIANG S, HE Y, ZHAO J W. Study on changes of mini-cucumber mechanical properties during storage[J]. Food Science, 2007, 28(2): 322-326.

[9] CENTENOND C, OSORIO S, NUNES-NESI A, et al. Malate plays a crucial role in starch metabolism, ripening, and soluble solid content of tomato fruit and affects postharvest softening[J]. Plant Cell, 2011, 23(1): 162-184.

[10] LUKASSE L J S, POLDERDIJK J J. Predictive modelling of post-harvest quality evolution in perishables, applied to mushrooms[J]. Journal of Food Engineering, 2003, 59(2/3): 191-198.

[11] LI S F, XU Y J, LIAO S T, et al. Evaluation of fruit and analysis of sugar and acid compositions and antioxidant activities of different guava culfivars[J]. Food Science, 2009, 30(1): 66-70.

[12] 胡田田, 何琼, 洪霞, 等. 基于模糊Borda组合模型评价番茄产量及品质对水肥供应响应[J]. 农业工程学报, 2019, 35(19): 142-151.

[13] LI Y X, GOLDING J B, ARCOT J, et al. Continuous exposure to ethylene in the storage environment adversely affects 'Afoure' mandarin fruit quality[J]. Food Chemistry, 2018, 242: 585-590.

[14] KIM M J, BANG W S, YUK H G. 405 ± 5 nm light emitting diode illumination causes photodynamic inactivation of Salmonella spp.on fresh-cut papaya without deterioration[J]. Food Microbiology, 2017, 62: 124-132.

[15] 程陈, 李春, 李文明, 等. 园艺作物发育期和采收期模拟模型的最优模拟路径[J]. 农业工程学报, 2023, 39(12): 158-167.

[16] 程陈, 余卫东, 闫锦涛, 等. 不同品种郁金香鲜切花物质积累及分配的模拟[J]. 中国农业气象, 2019, 40(12): 758-771.

[17] TSIPOURIDIS C, THOMIDIS T. Effect of 14 peach rootstocks on the yield, fruit quality, mortality, girth expansion and resistance to frost damages of May Crest peach variety and their susceptibility on Phytophthora citrophthora[J]. Scientia Horticulturae, 2005, 103(4): 421-428.

[18] 程陈, 董朝阳, 黎贞发, 等. 日光温室芹菜外观形态及干物质积累分配模拟模型[J]. 农业工程学报, 2021, 37(10): 142-151.

[19] 金杨. 基于均匀颜色空间的彩色视觉对比敏感度函数及其应用研究[D]. 南京: 南京林业大学, 2013.

[20] 吴浪, 刘婧仪, 梁燕. 番茄绿果与红果颜色性状遗传的研究[J]. 园艺学报, 2016, 43(4): 674-682.

[21] HASAN S M K, MANZOCCO L, MOROZOVA K, et al. Effects of ascorbic acid and light on reactions in fresh-cut apples by microcalorimetry[J]. Thermochimica Acta, 2017, 649: 63-68.

[22] 沈朱俐, 顾莉莉, 李晓谊, 等. 基于形变距离和受压质量混合模式测定蓝莓果实硬度的方法建立和优化[J]. 果树学报, 2023, 40(1): 169-179.

[23] 朱立保, 刘海河, 张彦萍, 等. 镁对厚皮甜瓜坐果节位叶片叶绿素荧光特性和活性氧清除系统的影响[J]. 植物营养与肥料学报, 2015, 21(5): 1279-1285.

[24] CHENG C, FENG L P, BARCENA J F B, et al. A growth model based on standardized growing degree days for hydroponic fresh cut tulip in solar greenhouses[J]. European Journal of Horticultural Science, 2022, 87(4): 1-13.

[25] ARZANI K, LAWES S, WOOD D. Estimation of 'Sundrop' apricot fruit volume and fresh weight from fruit diameter[J]. Acta Horticulturae, 1999(488): 321-325.

[26] 谢丹丹, 郭文川, 高梦杰, 等. 草莓的光学特性及其与可溶性固形物含量和含水率的关系[J]. 食品科学, 2021, 42(1): 41-46.

[27] 王琦, 谭占明, 程云霞, 等. 不同贮藏时间对嫁接黄瓜果实品质的影响[J]. 中国瓜菜, 2023, 36(11): 71-77.

[28] JONES R B, FARAGHER J D, WINKLER S. A review of the influence of postharvest treatments on quality and glucosinolate content in broccoli (Brassica oleracea var. italica) heads[J]. Postharvest Biology and Technology, 2006, 41(1): 1-8.

[29] TORRES-SANCHEZ R, MARTINEZ-ZAFRA M T, CASTILLEJO N, et al. Real-time monitoring system for shelf life estimation of fruit and vegetables[J]. Sensors, 2020, 20(7): 1860.

基金资助

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)

浙江省大学生科技创新活动计划(新苗人才计划)(2023R480021)

国家级大学生创新创业训练计划(S202210352001X)

国家级大学生创新创业训练计划(S202210352009)