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温室番茄果实裂果的环境原因调查及其传播预测。

Investigation on the environmental causes of tomato fruit cracking and its propagation prediction in greenhouse.

机构信息

College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China.

School of Engineering, Computing and Mathematical Sciences, Division of Chemical Engineering, University of Wolverhampton, Wolverhampton, UK.

出版信息

J Texture Stud. 2024 Aug;55(4):e12845. doi: 10.1111/jtxs.12845.

Abstract

In this study, Provence tomato variety was chosen for investigating the environmental causes of tomato fruit cracking, cracks characteristics, and their propagation prediction in a greenhouse. Fruit bagging approach was used to alter the temperature and humidity and to create a microclimate around the fruit to induce fruit cracking for testing. Results showed that the fruit cracking rate increased when the environment temperature exceeded 30°C, and the difference between the highest and lowest temperature values in a day was greater than 20°C. The cracking rate was aggravated when the difference between the highest and lowest humidity values in a day was less than 20%. The proportions of top cracking, longitudinal cracking, ring cracking, radial cracking, and combined cracking were 5.4%, 16.1%, 28.3%, 26.8%, and 32.1%, respectively. The fruit shoulder was the most susceptible region to crack, followed by fruit belly and top regions, whereas longer cracks were observed in the fruit belly region indicating a higher propensity to crack propagation in that region. Finally, the measured data were used to validate an extended finite element method developed to effectively predict cracking susceptibility and propagation in tomato fruit with a relative error of 4.68%.

摘要

本研究选择普罗旺斯番茄品种,旨在探究番茄果实裂果的环境原因、裂果特征及其在温室中的传播预测。采用果实套袋的方法来改变温度和湿度,在果实周围创造小气候,以诱导果实裂果进行测试。结果表明,当环境温度超过 30°C 时,果实裂果率增加,日最高温和最低温之间的差值大于 20°C 时,裂果率加剧。日最高温和最低湿度之间的差值小于 20%时,裂果率加重。果实顶部裂果、纵向裂果、环状裂果、放射状裂果和混合裂果的比例分别为 5.4%、16.1%、28.3%、26.8%和 32.1%。果实肩部是最易裂果的部位,其次是果实腹部和顶部,而在果实腹部观察到的裂缝较长,表明该区域裂果传播的倾向更高。最后,使用测量数据验证了一种扩展有限元方法,该方法可有效预测番茄果实的裂果易感性和传播,相对误差为 4.68%。

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