基于无损力学平台的水稻倒伏表型分析  

Phenotyping analysis of rice lodging based on a nondestructive mechanical platform

作　　者：吕梦琪 Sunghwan JUNG 麻志宏 万亮 孙大伟 岑海燕[1,2] LÜMengqi;Sunghwan JUNG;MA Zhihong;WAN Liang;SUN Dawei;CEN Haiyan(State Key Laboratory of Modern Optical Instrumentation,College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310058,Zhejiang,China;Key Laboratory of Spectroscopy Sensing,Ministry of Agriculture and Rural Affairs,Hangzhou 310058,Zhejiang,China;Department of Biological and Environmental Engineering,Cornell University,New York 14853,USA;Institute of Agricultural Equipment,Zhejiang Academy of Agricultural Sciences,Hangzhou 310021,Zhejiang,China)

机构地区：[1]浙江大学生物系统工程与食品科学学院,现代光学仪器国家重点实验室,浙江杭州310058 [2]农业农村部光谱检测重点实验室,浙江杭州310058 [3]康奈尔大学生物与环境工程系,美国纽约14853 [4]浙江省农业科学院农业装备研究所,浙江杭州310021

出　　处：《浙江大学学报（农业与生命科学版）》2023年第1期129-140,共12页Journal of Zhejiang University:Agriculture and Life Sciences

基　　金：Key R&D Program of Guangdong Province (2019B020216001);Key R&D Program of Zhejiang Province (2020C02002)。

摘　　要：针对传统水稻倒伏测量费时费力且对水稻植株具有破坏性的问题,本研究构建了一款操作简单且无损的力学平台用于水稻倒伏表型分析,可监测水稻在不同生育期的抗倒伏特性。本试验中水稻倒伏监测时间为2019年8月15日—9月21日,包含水稻生长过程中的拔节期、孕穗期和抽穗期。通过无损力学平台中的力传感器获取水稻倒伏测量过程中的力与位移,从而计算水稻动态抗弯刚度系数(KEI),同时通过力学平台采集RGB图像用于计算水稻植株投影面积和受力中心(CoF)。结果表明:抗倒伏品种(北稻1号、神农9816)与倒伏品种(越光、秋光)的KEI存在差异,反映了水稻生育期内的抗倒伏特性。RGB图像中倒伏品种水稻的受力中心与植株底部的距离大于抗倒伏品种,易失稳。本研究为水稻倒伏监测和精准育种提供了技术支撑。Traditional rice lodging measurements are time-consuming and destructive to rice plants.This study thus developed an easy-to-implement and nondestructive mechanical platform for phenotyping analysis of rice lodging,which can monitor the lodging-resistant characteristics of rice in different growth periods.The lodging measurements were conducted at the jointing stage,booting stage and heading stage from August 15th to September 21st,2019.The force and displacement were measured from two different directions using the lodging measuring platform with a force sensor,which were used to calculate the dynamic bending stiffness coefficient(KEI) of rice.Meanwhile,RGB images were collected from the mechanical platform,which were applied to calculate the projected area and the center of force (CoF).The results showed that the KEIvalues of lodgingresistant cultivars (Beidao 1 and Shennong 9816) were different from those of lodging cultivars (Yueguang and Qiuguang),which can reflect rice’s lodging resistance in the growth period.In addition,we found that the average distances between CoF and the root of lodging cultivars within the RGB images were larger than those of lodging-resistant cultivars and easily led to rice instability.This study can provide valuable information for rice lodging monitoring and precision breeding.

关 键 词：水稻倒伏 作物表型 力学平台 可见光图像 动态抗弯刚度系数 

分 类 号：S24[农业科学—农业电气化与自动化]