基于热红外图像的小麦品种抗旱性鉴定与评价

doi:10.3864/j.issn.0578-1752.2022.13.005

Abstract

Abstract:

【Objective】The information related to the temperature parameters of different genotypes of wheat canopy were analyzed to explore the indicators and methods for rapid and efficient screening of drought-resistant varieties of winter wheat, so as to provide a reference basis for the screening of drought-resistant varieties of winter wheat.【Method】In this study, the canopy thermal infrared images of 10 wheat varieties with different drought resistance under drought stress were obtained and extracted canopy temperature characteristic parameters by using temperature frequency histogram and other analysis methods, and the quantitative relationship between temperature characteristic parameters and drought resistance index were clarified, and then the effectiveness of canopy temperature characteristic parameters on screening drought-resistant varieties of winter wheat were analyzed.【Result】The grading criteria based on the yield drought resistance index (DRI) classified the measured wheat varieties into four drought resistance categories. The stronger the drought resistance, the more stable the maximum photosynthetic efficiency (F_v/F_m), plant water content (PWC), stomatal conductance (G_s), transpiration rate (T_r), and seed yield. The characteristic parameters of canopy temperature based on thermal infrared images were extracted, indicating the stronger the drought resistance of wheat, the smaller variability in canopy temperature and the less dispersion in canopy temperature. The yield DRI showed highly significant positive correlation with the deviation between crop canopy temperature and ambient temperature (CTD) at the jointing, booting and flowering stages with the correlation coefficient r=0.79-0.84, while the standard deviation of canopy temperature (CTSD), coefficient of variation (CTCV), water stress index (CWSI) and relative canopy temperature difference (CRTD) were significantly negatively correlated (r=-0.56- -0.78). The regression model of yield DRI was built based on canopy temperature characteristic parameters of a single growth period, and the estimation accuracy was r²=0.73-0.87, with the highest accuracy of the prediction model at the jointing stage. And the prediction model of yield DRI was constructed based on the combination of relevant canopy temperature parameters CTD, CTCV, and CTSD CWSI of three growth periods, and the accuracy of prediction was significantly higher (r²=0.95) than that based on a single growth period.【Conclusion】 Thermal infrared images can be used for early identification and rapid evaluation of drought resistance of wheat varieties, which is of great significance for promoting efficient and water-saving crop production.

Key words: winter wheat, drought stress, thermal infrared image, drought resistance index, variety identification

MENG Yu,WEN PengFei,DING ZhiQiang,TIAN WenZhong,ZHANG XuePin,HE Li,DUAN JianZhao,LIU WanDai,FENG Wei. Identification and Evaluation of Drought Resistance of Wheat Varieties Based on Thermal Infrared Image[J].Scientia Agricultura Sinica, 2022, 55(13): 2538-2551.

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References 48

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抗旱性级别 Drought resistance rank	抗旱指数 Drought resistance index	抗旱性评价标准 Drought resistance evaluation standard
1	≥1.30	极强 HR
2	1.10—1.29	强 R
3	0.90—1.09	中等 MR
4	0.70—0.89	弱 S
5	≤0.69	极弱 HS

代号 Number	品种名称 Cultivar	产量Grain yield（kg·hm^-2）		抗旱指数 Drought index	抗旱评价 Drought evaluation
代号 Number	品种名称 Cultivar	棚内 Output in dry land	棚外 Output in wet land	抗旱指数 Drought index	抗旱评价 Drought evaluation
1	洛旱19 Luohan 19	4816.98b	8610.52c	1.06	中等MR
2	洛旱22 Luohan 22	5026.80a	8713.45bc	1.14	强R
3	洛麦26 Luomai 26	4584.04c	9378.24a	0.88	弱S
4	中麦175 Zhongmai 175	4350.88d	9050.06b	0.82	弱S
5	百农207 Bainong 207	4299.84d	8144.90d	0.89	弱S
6	豫农516 Yunong516	4551.87c	8838.05b	0.92	中等MR
7	中麦895 Zhongmai 895	3873.35e	8831.18b	0.67	极弱HS
8	安农0711 Annong 0711	4390.08d	8953.79b	0.85	弱S
9	华成3366 Huacheng 3366	3915.60e	8679.40bc	0.69	极弱HS
10	晋麦47 Jinmai 47	4587.77c	8269.14d	1.00	中等MR

时期 Time	抗旱性评价 Drought evaluation	CETR	CTEP	CTSD	CTCV	CTD	CWSI	CRTD
拔节期 Jointing stage	强R	14.90-19.17	6.58	0.480	0.03	5.14	0.4	0.138
	中等MR	14.71-23.42	7.99-9.28	0.934-1.102	0.048-0.054	3.42-4.87	0.41-0.44	0.158-0.174
	弱S	14.98-23.51	9.62-10.00	1.036-1.273	0.053-0.065	2.22-3.00	0.45-0.47	0.164-0.210
	极弱HS	15.15-23.60	11.37-11.62	1.105-1.227	0.068-0.071	1.81-2.69	0.46-0.50	0.198-0.214
孕穗期 Booting stage	强R	21.93-26.28	7.63	0.660	0.028	-0.32	0.44	0.076
	中等MR	21.72-28.73	8.43-9.33	0.728-0.850	0.031-0.034	-0.66--1.13	0.46-0.48	0.086-0.096
	弱S	22.14-28.36	9.91-10.52	0.807-0.880	0.033-0.040	-1.42--1.88	0.48-0.50	0.101-0.112
	极弱HS	21.45-29.77	11.06-11.79	0.952-1.164	0.039-0.045	-1.65--2.38	0.51-0.54	0.119-0.153
开花期 Anthesis stage	强R	21.01-27.67	11.58	1.108	0.041	-4.17	0.47	0.105
	中等MR	24.92-35.29	12.21-14.29	1.298-1.601	0.043-0.051	-4.30--5.16	0.49-0.51	0.108-0.116
	弱S	25.42-36.19	13.52-14.95	1.270-1.812	0.047-0.056	-5.56--6.47	0.53-0.54	0.120-0.136
	极弱HS	25.90-38.48	15.14-18.82	1.824-1.963	0.054-0.060	-6.87--7.78	0.59-0.60	0.149-0.159

响应变异 Response variable	步骤 Step	拔节期 Jointing stage		孕穗期 Booting stage		开花期 Anthesis stage
响应变异 Response variable	步骤 Step	入选变量 Variable entered	精度 R²	入选变量 Variable entered	精度 R²	入选变量 Variable entered	精度 R²
抗旱指数DRI	S₁	CTD	0.706	CTD	0.624	CTD	0.672
	S₂	CTCV	0.837	CTCV	0.734	CWSI	0.768
	S₃	CWSI	0.872	—	—	—	—

响应变异 Response variable	步骤 Step	生育期 Growth stage	入选变量 Variable entered	估算精度 Estimation R²
抗旱指数 DRI	S₁	拔节 Jointing stage	CTD	0.706
	S₂	孕穗 Booting stage	CTCV	0.836
	S₃	开花 Anthesis stage	CWSI	0.902
	S₄	拔节 Jointing stage	CTSD	0.948

Identification and Evaluation of Drought Resistance of Wheat Varieties Based on Thermal Infrared Image

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