大麦种质资源成株期抗旱性鉴定及抗旱指标筛选

doi:10.3724/SP.J.1006.2020.91031

Abstract

Abstract:

Drought is one of the major factors affecting barley production. Identification of drought resistance of barley resource at maturity stage, could provide and their associating indexes a basis for breeding drought-resistant cultivars. Field experiments were carried out in Wuwei city, Gansu province, in 2016 and 2017, where the average rainfall during the main water requirement period is less than 40 mm. thirty barley resource under measured normal irrigation and drought stress were used to measured plant height, spike length, tiller number, grain number per plant, grain weight per plant, grain number per spike, 1000-grain weight and yield of barley. Drought resistance comprehensive evaluation value (D-value), comprehensive drought resistance coefficient (CDC-value), weight drought resistance coefficient (WDC-value), correlation analysis, frequency analysis, principal component analysis, grey relational analysis, subordinate function analysis, clustering analysis, and stepwise regression analysis were combined to identify the drought resistance and to screen drought resistance indexes of tested resource at mature period. Drought stress had significant effects on all measured indexes. Frequency analysis showed that the sensitivity of each index to drought stress was yield, plant height, grain weight per plant, spike length, grain number per plant, tiller number, grain number per spike and 1000-grain weight. The yield was very significantly and positively correlated with plant height, spike length, tiller number, grain number per plant and grain weight per plant, and significantly and positively correlated with grain number per spike, but not correlated with 1000-grain weight. Principal component analysis showed that five principal components could represent 86.39% of the original data information of barley drought resistance. The ranks of drought resistance based on the D-value, CDC-value, and WDC-value were similar. Grey relational analysis showed that the correlation degree between DC-value of all indexes and D-value in turn for yield, grain weight per plant, grain number per plant, spike length, plant height, tiller number, grain number per spike and 1000-grain weight, the correlation degree between DC-value of all indexes and WDC-value in turn for grain weight per plant, yield, grain number per plant, tiller number, spike length, grain number per spike, plant height and1000-grain weight, According to D-value clustering analysis, tested barley materials were divided into five drought resistance grades, in which five were in grade 1, one was in grade 2, eleven were in grade 3, ten were in grade 4, and three were in grade 5. Except for tiller number and 1000-grain weight, the subordinate function values, CDC-values, D-values, and WDC-values of other indicators were increased with increase of drought resistance grades. Stepwise regression analysis showed that plant height, Spike length, tiller number, grain number per plant, grain weight per plant, grain number per spike, 1000-grain weight and yield were closely related to the D-value. Drought stress had significant effects on all indexes of barley resources at mature period. D-value was determined as an appropriate index for drought resistance identification. Ganpi 7, Z06-278-9, MERIT, NEVADA, and Xizang 25 were identified as drought resistant barley materials at mature period, which could provide basic materials for the researches on cultivar breeding, drought resistant mechanism, and regulation and alleviation mechanism of drought resistance in barley. The spike length, grain number per plant, grain weight per plant, grain number per spike and yield could be used as the simple and intuitive identification indexes of drought resistance in barley resources at mature period.

Key words: barley (Hordeum vulgare L.), mature period, drought resistance, drought resistance indexes

Yin-Ping XU, Yong-Dong PAN, Qiang-De LIU, Yuan-Hu YAO, Yan-Chun JIA, Cheng REN, Ke-Cang HUO, Wen-Qing CHEN, Feng ZHAO, Qi-Jun BAO, Hua-Yu ZHANG. Drought resistance identification and drought resistance indexes screening of barley resources at mature period[J].Acta Agronomica Sinica, 2020, 46(3): 448-461.

Figures/Tables 12

Table 1

Origins of 30 barley resources"

编号Number	名称 Name	来源 Origin
01	Z06-278-9	美国 USA
02	Z06-266-10	美国 USA
03	MERIT	美国 USA
04	Z06-291-1	美国 USA
05	BARI188	美国 USA
06	BARI160	美国 USA
07	BARI187	美国 USA
08	BARI165	美国 USA
09	西藏10 Xizang 10	中国西藏 Tibet, China
10	西藏12 Xizang 12	中国西藏 Tibet, China
11	西藏23 Xizang 23	中国西藏 Tibet, China
12	西藏25 Xizang 25	中国西藏 Tibet, China
13	NEVADA	美国 USA
14	甘啤6号 Ganpi 6	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
15	甘饲1号 Gansi 1	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
16	0420-7 (甘啤4号杂交后代) Derived from Ganpi 4	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
17	0521-6 (甘啤7号杂交后代) Derived from Ganpi 7	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
18	2153122 (甘啤7号杂交后代) Derived from Ganpi 7	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
19	0821-2 (MERIT杂交后代) Derived from MERIT	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
20	0835-3 (MERIT杂交后代) Derived from MERIT	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
21	0844-1 (MERIT杂交后代) Derived from MERIT	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
22	0903-2 (法瓦维特杂交后代) Derived from Favorit	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
23	中黄1号 Zhonghuang 1	中国甘肃甘南州 Gannan, Gansu, China
24	0902-1 (法瓦维特杂交后代) Derived from Favorit	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
25	陇青1号 Longqing 1	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
26	甘啤4号 Ganpi 4	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
27	甘啤7号 Ganpi 7	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
28	甘啤8号 Ganpi 8	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
29	甘啤9号 Ganpi 9	中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
30	Aspen	美国 USA

Table 1

Table 2

Table 3

Drought resistance coefficients of all indexes in tested barley germplasm"

编号 Number	株高 PH	穗长 EL	分蘖数 TN	单株粒数 GNPP	单株粒重 GWPP	穗粒数 KNPS	千粒重 TGW	产量 Y
01	0.845	0.889	0.962	0.968	0.850	0.936	0.875	0.815
02	0.683	0.901	0.867	0.772	0.884	0.775	0.934	0.462
03	0.815	0.917	0.981	0.937	0.862	0.925	0.902	0.823
04	0.662	0.853	0.913	0.825	0.905	0.785	0.990	0.370
05	0.774	0.909	0.926	0.878	0.810	0.887	0.936	0.384
06	0.707	0.794	0.759	0.783	0.704	0.723	0.806	0.369
07	0.778	0.815	0.767	0.759	0.736	0.793	0.824	0.393
08	0.722	0.797	0.750	0.790	0.690	0.820	0.830	0.403
09	0.763	0.875	0.857	0.824	0.815	0.891	0.955	0.442
10	0.752	0.964	0.926	0.867	0.757	0.939	0.884	0.728
11	0.709	0.840	0.988	0.885	0.905	0.974	0.841	0.442
12	0.837	0.779	0.739	0.966	0.913	0.944	0.982	0.744
13	0.879	0.904	0.964	0.960	0.859	0.956	0.910	0.806
14	0.736	0.921	0.929	0.898	0.814	0.976	0.807	0.424
15	0.640	0.766	0.852	0.789	0.798	0.828	0.822	0.361
16	0.715	0.725	0.690	0.753	0.596	0.721	0.815	0.293
17	0.722	0.821	0.788	0.924	0.794	0.897	0.856	0.377
18	0.749	0.970	0.929	0.792	0.854	0.954	0.990	0.493
19	0.566	0.766	0.962	0.781	0.679	0.973	0.944	0.499
20	0.813	0.749	0.907	0.792	0.750	0.871	0.871	0.503
21	0.637	0.789	0.875	0.715	0.741	0.881	0.935	0.466
22	0.788	0.759	0.739	0.749	0.663	0.882	0.904	0.329
23	0.750	0.654	0.706	0.591	0.671	0.828	0.906	0.231
24	0.773	0.757	0.857	0.775	0.701	0.942	0.954	0.329
25	0.782	0.787	0.740	0.980	0.657	0.978	0.937	0.385
26	0.687	0.786	0.963	0.865	0.808	0.949	0.867	0.441
27	0.834	0.944	0.966	0.982	0.985	0.953	0.953	0.839
28	0.683	0.782	0.815	0.889	0.707	0.902	0.855	0.274
29	0.718	0.991	0.964	0.929	0.670	0.938	0.839	0.385
30	0.670	0.636	0.687	0.588	0.475	0.853	0.794	0.273
平均值Ave.	0.740	0.828	0.859	0.834	0.768	0.889	0.891	0.469
变异系数CV	0.093	0.106	0.113	0.122	0.140	0.083	0.066	0.373

Table 3

Table 4

Table 5

Table 6

Table 7

CDC-value, WDC-value, and D-value of drought resistance evaluation in tested barley resources"

编号 Number	隶属函数Subordinate function value					CDC值 CDC-value	排序 Rank	D值 D-value	排序 Rank	WDC值 WDC-value	排序 Rank
编号 Number	μ₁	μ₂	μ₃	μ₄	μ₅	CDC值 CDC-value	排序 Rank	D值 D-value	排序 Rank	WDC值 WDC-value	排序 Rank
01	0.879	0.741	0.893	0.852	0.891	0.893	4	0.852	3	0.891	4
02	0.534	0.270	0.776	0.094	0.745	0.785	15	0.481	17	0.778	15
03	0.888	0.632	0.487	0.859	0.536	0.895	3	0.837	4	0.894	3
04	0.536	0.142	0.641	0.737	0.804	0.788	14	0.457	18	0.779	14
05	0.606	0.343	0.630	0.378	0.805	0.813	10	0.554	10	0.804	10
06	0.289	0.538	0.535	0.860	0.625	0.706	27	0.338	27	0.699	27
07	0.363	0.633	0.575	0.288	0.379	0.733	23	0.417	20	0.726	23
08	0.342	0.573	0.653	0.165	0.796	0.725	26	0.388	22	0.718	25
09	0.571	0.443	0.647	0.769	0.806	0.803	11	0.545	11	0.794	12
10	0.751	0.485	0.478	0.553	0.858	0.852	6	0.698	6	0.848	6
11	0.660	0.177	0.563	0.497	0.327	0.823	8	0.564	8	0.815	8
12	0.764	1.000	0.404	0.553	0.615	0.863	5	0.811	5	0.859	5
13	0.908	0.775	0.512	0.423	0.549	0.905	2	0.882	2	0.902	2
14	0.628	0.280	0.550	0.473	0.771	0.813	9	0.559	9	0.805	9
15	0.375	0.239	1.000	0.530	0.735	0.732	24	0.348	26	0.724	24
16	0.143	0.646	0.754	0.833	0.463	0.664	29	0.243	28	0.655	28
17	0.491	0.491	0.654	0.222	0.902	0.772	18	0.491	16	0.764	18
18	0.692	0.257	0.397	0.056	0.816	0.841	7	0.605	7	0.832	7
19	0.486	0.000	0.579	0.562	0.540	0.771	19	0.389	21	0.761	19
20	0.510	0.609	0.907	0.838	0.757	0.782	13	0.529	13	0.775	16
21	0.430	0.213	0.536	0.437	0.666	0.755	21	0.387	23	0.746	21
22	0.318	0.657	0.507	0.467	1.000	0.727	25	0.386	24	0.715	22
23	0.123	0.579	0.591	1.000	0.649	0.667	28	0.214	29	0.654	29
24	0.422	0.452	0.880	0.554	0.545	0.761	20	0.428	19	0.749	20
25	0.492	0.716	0.509	0.000	0.310	0.781	12	0.537	12	0.770	17
26	0.568	0.212	0.364	0.571	0.781	0.796	13	0.497	15	0.787	13
27	1.000	0.657	0.566	0.515	0.848	0.932	1	0.931	1	0.930	1
28	0.379	0.341	0.781	0.528	0.615	0.738	22	0.372	25	0.728	22
29	0.597	0.183	0.540	0.725	0.675	0.804	11	0.514	14	0.796	11
30	0.000	0.531	0.077	0.496	0.417	0.622	30	0.106	30	0.610	30
平均值 Average	—	—	—	—	—	0.785	—	0.512	—	0.777	—
变异系数 CV	—	—	—	—	—	0.085	—	0.361	—	0.088	—

Table 7

Table 8

Fig. 1

Table 9

Table 10

Supplementary table 1

Measured values of all indices in tested Barley resources under drought stress and normal irrigation"

编号 Number	株高 PH (cm)		穗长 SL (cm)		分蘖数 TN		单株粒数GNPP		单株粒重GWPP (g)		穗粒数 KNPS		千粒重 TGW		产量 Y (kg hm^-2)
编号 Number	CK	T	CK	T	CK	T	CK	T	CK	T	CK	T	CK	T	CK	T
01	78.92	66.70	8.04	7.15	2.63	2.53	60.97	59.03	3.20	2.72	23.95	22.42	52.60	46.03	3.39	2.76
02	89.78	61.33	7.77	7.00	2.77	2.40	69.80	53.90	3.28	2.90	26.20	20.30	47.49	44.36	2.73	1.26
03	88.67	72.30	8.21	7.52	2.60	2.55	71.53	67.03	3.14	2.70	27.96	25.87	44.79	40.39	3.17	2.61
04	93.49	61.92	7.92	6.76	2.67	2.43	60.93	50.30	2.88	2.61	24.95	19.60	48.40	47.90	3.32	1.23
05	79.78	61.73	7.48	6.80	2.81	2.60	57.77	50.70	2.59	2.10	20.51	18.20	45.01	42.11	3.18	1.22
06	83.33	58.94	6.93	5.50	2.90	2.20	58.87	46.10	2.84	2.00	21.58	15.60	48.26	38.92	3.27	1.21
07	77.96	60.64	7.49	6.10	2.87	2.20	63.80	48.40	3.17	2.33	21.94	17.40	49.62	40.90	3.16	1.24
08	75.82	54.76	7.90	6.30	2.80	2.10	59.23	46.80	2.90	2.00	22.21	18.20	49.06	40.70	3.05	1.23
09	87.84	67.03	7.20	6.30	2.80	2.40	52.70	43.40	2.70	2.20	19.30	17.20	50.35	48.10	3.11	1.37
10	86.56	65.06	7.89	7.61	2.70	2.50	66.23	57.40	3.37	2.55	24.53	23.03	50.43	44.56	3.35	2.44
11	73.49	52.13	7.26	6.10	2.83	2.80	66.30	58.70	3.01	2.72	23.40	22.80	48.88	41.11	3.22	1.42
12	73.83	61.83	6.80	5.30	2.30	1.70	52.20	50.40	2.30	2.10	23.40	22.10	43.90	43.10	2.73	2.03
13	74.67	65.60	7.43	6.71	2.80	2.70	60.20	57.80	2.96	2.55	22.59	21.60	51.32	46.70	3.36	2.71
14	74.02	54.44	7.31	6.73	2.80	2.60	65.63	58.97	3.68	3.00	23.73	23.16	56.14	45.31	2.90	1.23
15	82.87	53.05	8.88	6.80	2.70	2.30	64.67	51.00	3.51	2.80	24.27	20.10	54.39	44.70	3.22	1.16
16	80.50	57.55	8.00	5.80	2.90	2.00	57.40	43.20	3.35	2.00	22.60	16.30	49.30	40.20	3.31	0.97
17	78.54	56.68	6.70	5.50	2.67	2.10	61.80	57.10	3.15	2.50	23.20	20.80	54.98	47.04	3.00	1.13
18	69.54	52.05	6.70	6.50	2.80	2.60	62.10	49.20	3.04	2.60	22.46	21.42	49.21	48.72	2.90	1.43
19	90.42	51.20	7.31	5.60	2.60	2.50	59.30	46.30	2.80	1.90	22.00	21.40	44.40	41.90	2.55	1.27
20	77.14	62.72	8.41	6.30	2.50	2.27	62.87	49.80	2.80	2.10	25.70	22.38	54.40	47.40	2.62	1.32
21	89.86	57.26	7.60	6.00	2.40	2.10	74.27	53.10	2.70	2.00	26.23	23.11	45.64	42.69	2.59	1.21
22	74.05	58.34	7.90	6.00	2.30	1.70	67.20	50.30	3.02	2.00	23.70	20.90	44.89	40.60	3.19	1.05
23	74.07	55.54	6.88	4.50	2.27	1.60	84.10	49.70	4.77	3.20	31.89	26.40	51.83	46.93	2.82	0.65
24	73.61	56.91	7.53	5.70	2.10	1.80	62.33	48.30	2.71	1.90	22.86	21.52	43.48	41.47	2.96	0.97
25	82.25	64.30	8.90	7.00	2.43	1.80	60.10	58.90	2.74	1.80	25.25	24.68	46.37	43.44	2.75	1.06
26	79.46	54.57	7.76	6.10	2.70	2.60	61.60	53.30	3.01	2.43	23.68	22.47	48.77	42.27	3.07	1.35
27	80.48	67.10	8.90	8.40	2.90	2.80	66.10	64.90	2.68	2.64	23.40	22.30	51.30	48.90	3.41	2.86
28	74.49	50.91	7.80	6.10	2.70	2.20	56.37	50.10	2.55	1.80	22.57	20.36	45.03	38.50	3.34	0.92
29	70.80	50.81	6.86	6.80	2.80	2.70	59.90	55.63	2.84	1.90	21.77	20.42	47.44	39.81	3.03	1.17
30	66.08	44.30	6.60	4.20	2.77	1.90	56.93	33.50	2.74	1.30	22.40	19.10	47.53	37.74	3.33	0.91

Supplementary table 1

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项目 Item	株高 PH (cm)		穗长 SL (cm)		分蘖数 TN		单株粒数 GNPP		单株粒重GWPP (g)		穗粒数 KNPS		千粒重 TGW (g)		产量 Y (kg hm^-2)
项目 Item	CK	T	CK	T	CK	T	CK	T	CK	T	CK	T	CK	T	CK	T
平均值 Ave.	79.41	58.59	7.61	6.31	2.66	2.29	62.77	52.11	3.01	2.31	23.67	21.04	48.84	43.42	3.07	1.45
变异系数 CV	0.086	0.105	0.084	0.136	0.078	0.150	0.101	0.128	0.146	0.185	0.098	0.121	0.070	0.074	0.083	0.412
标准误 SE	6.623		0.666		0.261		7.352		0.325		1.808		3.077		2.428
t值 t-value	17.218		10.746		7.794		7.946		10.919		7.985		9.655		5.855
P值 P-value	0.0001^**		0.0001^**		0.0001^**		0.0001^**		0.0001^**		0.0001^**		0.0001^**		0.0001^**
相关系数 r	0.499		0.652		0.665		0.382		0.681		0.737		0.587		0.352

指标 Index	株高 PH	穗长 EL	分蘖数 TN	单株粒数 GNPP	单株粒重 GWPP	穗粒数 KNPS	千粒重 TGW	产量 Y
株高 PH	—
穗长 EL	0.298	—
分蘖数 TN	0.069	0.705^**	—
单株粒数 GNPP	0.478^**	0.641^**	0.507^**	—
单株粒重 GWPP	0.339^*	0.620^**	0.622^**	0.599^**	—
穗粒数 KNPS	0.270	0.370^*	0.558^**	0.562^**	0.288	—
千粒重 TGW	0.194	0.250	0.254	0.187	0.471^**	0.313	—
产量 Y	0.571^**	0.555^**	0.553^**	0.626^**	0.629^**	0.451^*	0.319	—

指标 Index	因子载荷 Factor loading
指标 Index	F₁	F₂	F₃	F₄	F₅
株高 PH	0.423	-0.631	0.728	-0.076	0.240
穗长 EL	-1.420	0.407	-0.032	0.026	-0.731
分蘖数 TN	0.580	-0.020	-0.234	-0.424	-0.120
单株粒数 GNPP	0.214	-0.252	0.272	-0.284	0.661
单株粒重 GWPP	0.259	0.049	-0.513	0.917	0.324
穗粒数 KNPS	-0.246	-0.055	0.821	0.192	-0.097
千粒重 TGW	-0.205	-0.049	0.153	0.555	-0.066
产量 Y	-0.202	0.662	-0.116	-0.190	1.392
特征根 Characteristic root	3.107	1.267	0.963	0.802	0.697
贡献率 Contribution rate (%)	39.46	15.68	11.96	9.94	8.38
累计贡献率 Cumulative contribution (%)	39.46	55.27	65.33	77.21	86.39
因子权重 Factor weight	0.453	0.189	0.135	0.109	0.103

指标 Index	关联度 Correlation degree	排序 Rank	权重系数 Weight	关联度 Correlation degree	排序 Rank
株高 PH	0.71289	5	0.124	0.64220	7
穗长 EL	0.73817	4	0.128	0.71687	5
分蘖数 TN	0.70595	6	0.122	0.72575	4
单株粒数 GNPP	0.74729	3	0.130	0.74033	3
单株粒重 GWPP	0.74891	2	0.130	0.75094	1
穗粒数 KNPS	0.65768	7	0.114	0.65098	6
千粒重 TGW	0.63599	8	0.110	0.59725	8
产量 Y	0.81646	1	0.142	0.74723	2

因变量 Dependent variable	回归方程 Regression equation	决定系数R²	F值 F-value	P值 P-value	相关系数 r
因变量 Dependent variable	回归方程 Regression equation	决定系数R²	F值 F-value	P值 P-value	CDC值 CDC- value	WDC值 WDC- value	产量 Y
CDC值 CDC-value	y = 0.144+0.179x₂+0.095x₄+0.193x₅+0.215x₆+0.157x₈	0.985	314.79	<0.001	0.885^**	0.999^**	0.869^**
D值 D-value	y = -0.888+0.290x₂+0.514x₄+0.560x₅+0.455x₆-0.194x₈	0.991	517.65	<0.001		0.900^**	0.562^**
WDC值 WDC-value	y = 0.122+0.191x₂+0.104x₄+0.207x₅+0.224x₆+0.139x₈	0.987	362.79	<0.001			0.854^**

Drought resistance identification and drought resistance indexes screening of barley resources at mature period

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指标 Index	0<DC<0.2		0.2<DC<0.4		0.4<DC<0.6		0.6<DC<0.8		0.8<DC<1.0
指标 Index	次数 Times	频率 Freq.(%)	次数 Times	频率 Freq.(%)	次数 Times	频率 Freq.(%)	次数 Times	频率 Freq.(%)	次数 Times	频率 Freq.(%)
株高 PH	0	0	0	0	1	3	23	77	6	20
穗长 EL	0	0	0	0	0	0	14	47	16	53
分蘖数 TN	0	0	0	0	0	0	10	33	20	67
单株粒数GNPP	0	0	0	0	2	6.7	12	40	16	53.3
单株粒GWPP	0	0	0	0	1	3	15	50	14	47
穗粒数 KNPS	0	0	0	0	0	0	5	17	25	83
千粒重 TGW	0	0	0	0	0	0	1	3	29	97
产量 Y	0	0	14	46.7	10	33.3	2	6.7	4	13.3

指标 Index	隶属函数 Subordinate function value
指标 Index	1	2	3	4	5
株高 PH	0.883	0.593	0.555	0.415	0.466
穗长 EL	0.923	0.705	0.653	0.427	0.100
分蘖数 TN	0.781	0.793	0.695	0.471	0.024
单株粒数 GNPP	0.951	0.709	0.707	0.501	0.141
单株粒重 GWPP	0.821	0.630	0.552	0.504	0.208
穗粒数 KNPS	0.865	0.848	0.764	0.513	0.310
千粒重 TGW	0.664	0.457	0.509	0.471	0.226
产量 Y	0.945	0.818	0.328	0.243	0.057
CDC值 CDC-value	0.898	0.852	0.801	0.744	0.651
D值 D-value	0.863	0.698	0.534	0.391	0.188
WDC值 WDC-value	0.895	0.848	0.793	0.734	0.640

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[6]	DO Thanh-Trung, LI Jian, ZHANG Feng-Juan, YANG Li-Tao, LI Yang-Rui,XING Yong-Xiu. Analysis of Differential Proteome in Relation to Drought Resistance in Sugarcane [J]. Acta Agron Sin, 2017, 43(09): 1337-1346.
[7]	XU Wen,SHEN Hao,GUO Jun,YU Xiao-Cong,LI Xiang,YANG Yan-Hui,MA Xiao,ZHAO Shi-Jie,SONG Jian-Min. Drought Resistance of Wheat NILs with Different Cuticular Wax Contents in Flag Leaf [J]. Acta Agron Sin, 2016, 42(11): 1700-1707.
[8]	WU Qi,ZHOU Yu-Fei,GAO Yue,ZHANG Jiao,CHEN Bing-Ru,XU Wen-Juan,HUANG Rui-Dong. Screening and Identification for Drought Resistance during Germination in Sorghum Cultivars [J]. Acta Agron Sin, 2016, 42(08): 1233-1246.
[9]	WANG Lan-Fen, WU Jing, JING Rui-Lian, CHENG Xu-Zhen, WANG Shu-Min. Identification of Mungbean Germplasm Resources Resistant to Drought at Adult Stage [J]. Acta Agron Sin, 2015, 41(08): 1287-1294.
[10]	LI Long,WANG Lan-Fen,WU Jing,JING Rui-Lian,WANG Shu-Min. Identification of Drought Resistence at Seedlings Stage in Common Bean (Phaseolus vulgaris* L.) Varieties [J]. Acta Agron Sin, 2015, 41(06): 963-971.
[11]	WANG Lan-Fen,WU Jing,JING Rui-Lian,CHENG Xu-Zhen,WANG Shu-Min?. Drought Resistance Identification of Mungbean Germplasm Resources at Seedlings Stage [J]. Acta Agron Sin, 2015, 41(01): 145-153.
[12]	LUO Jun-Jie,OU Qiao-Ming,YE Chun-Lei,WANG Fang,WANG Yong-Zhen,CHEN Yu-Liang. Comprehensive Valuation of Drought Resistance and Screening of Indices of Important Flax Cultivars [J]. Acta Agron Sin, 2014, 40(07): 1259-1273.
[13]	LI Guang-Hui, WAN Yong-Shan*, LIU Feng-Zhen,ZHANG Kun. Morphological and Physiological Traits of Root in Different Drought Resistant Peanut Cultivars [J]. Acta Agron Sin, 2014, 40(03): 531-541.
[14]	JIN Xiu-Feng,WANG Xian-Guo,REN Wan-Jie,ZHANG Xiao-Ke,XIE Hui-Min,FAN Feng-Gui. Relationship between a Water Stress Responsive Protein and Drought Resistance and Molecular Mapping of the Target Gene in Common Wheat [J]. Acta Agron Sin, 2014, 40(02): 198-204.
[15]	ZHANG Fan,JIANG Lei,JU Li-Ping,JIN Xiu-Feng,WANG Xuan,ZHANG Xiao-Ke,WANG Hong-Li,FU Xiao-Jie. Cloning a Novel Gene TaNRX of Trx Superfamily and Developing Its Molecular Markers Related to Drought Resistance in Common Wheat [J]. Acta Agron Sin, 2014, 40(01): 29-36.