Drought Tolerance Identification of Foxtail Millet Germplasm Resources Based on GGE Biplot

doi:10.7668/hbnxb.20193063

Abstract

Abstract:

In order to explore the effective methods for the identification of drought tolerance of foxtail millet during the entire growth period,select the identification indices of drought tolerance of foxtail millet,and speed up the process of drought tolerance breeding of foxtail millet,a field experiment was conducted using a randomized incomplete block design(alpha-lattice design)and repeated thrice in 2019—2020. Each experiment consisted of 30 foxtail millet genotypes treated under drought stress(DS)and normal water supply(CK). The agronomic traits and drought tolerance coefficient(DC)of the genotypes were assessed during the entire growth period. Combined analysis of variance showed that soil water environment had significant effects on 1000-grain weight,and extremely significant effects on the other indices. Genotype had significant effects on spike weight and grain weight per plant,and extremely significant effects on the other indices. Besides,the interaction between genotype and soil water environment extremely significantly affected the growth traits of foxtail millet,but not yield traits(except 1000-grain weight). Under drought stress,the characteristic value of each index decreased in varying degrees compared with CK,and the sensitivity of each index to drought stress was different. The results of t test showed that the effect of drought stress was significant(except 1000-grain weight). GGE biplot explained 71.15% of the total variation of data.The drought tolerance coefficient of each index was correlated in different degrees,in which the drought tolerance coefficients of plant height,spike length,stem and leaf dry weight and top second leaf area were significant positive correlation,and that of spike weight per plant,grain weight per plant,kernels per spike and yield were also significant positive correlation. The drought tolerance of foxtail millet could be reflected by different agronomic traits. According to the distance from ideal drought-tolerant varieties and ideal drought-tolerant evaluation indices,the drought tolerance and evaluation indices of foxtail millet materials were ranked. Taixuan 26,Chaogu 62,Chaogu 13 and other materials had strong drought resistance,plant height and spike weight per plant could be used as indices for drought tolerance identification in foxtail millet. GGE biplot provided an objective and effective new visual identification method for the breeding of drought resistant foxtail millet varieties.

Key words: Foxtail millet, Drought tolerance identification, GGE biplot, Agronomic traits, Entire growth period

XIAO Jibing, LIU Zhi, XIN Zongxu, CHEN Guoqiu, WU Hongsheng. Drought Tolerance Identification of Foxtail Millet Germplasm Resources Based on GGE Biplot[J]. Acta Agriculturae Boreali-Sinica, 2022, 37(5): 87-96. doi: 10.7668/hbnxb.20193063.

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References 57

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变异 Source of variation	PH	LA	SNN	TNL	SLDW	SL	SWP	KPS	TGW	GWP	Y
环境Environment	984.65^**	265.09^**	77.9^**	729.07^**	66.56^**	261.27^**	381.89^**	300.15^**	4.75^*	326.88^**	123.45^**
重复Repeat	11.57^**	20.16^**	4.57^*	13.51^**	6.48^**	11.14^**	3.50^*	1.61	0.52	1.95	0.69
区组Block	0.30	0.76	0.48	0.44	0.67	0.92	1.01	1.01	0.24	1.06	0.98
基因型Genotype	32.97^**	46.28^**	51.55^**	15.63^**	2.97^**	19.58^**	1.77^*	2.69^**	15.94^**	1.68^*	5.16^**
环境×基因型	3.66^**	4.06^**	4.63^**	2.51^**	2.51^**	2.45^**	1.22	1.50	2.13^**	1.40	1.21
Environment×Genotype
误差Error	58.92	45.30	0.11	3.47	96.59	2.75	5.72	510 400.10	0.02	4.07	982 529.70

变异 Source of variation	PH	LA	SNN	TNL	SLDW	SL	SWP	KPS	TGW	GWP	Y
环境Environment	984.65^**	265.09^**	77.9^**	729.07^**	66.56^**	261.27^**	381.89^**	300.15^**	4.75^*	326.88^**	123.45^**
重复Repeat	11.57^**	20.16^**	4.57^*	13.51^**	6.48^**	11.14^**	3.50^*	1.61	0.52	1.95	0.69
区组Block	0.30	0.76	0.48	0.44	0.67	0.92	1.01	1.01	0.24	1.06	0.98
基因型Genotype	32.97^**	46.28^**	51.55^**	15.63^**	2.97^**	19.58^**	1.77^*	2.69^**	15.94^**	1.68^*	5.16^**
环境×基因型	3.66^**	4.06^**	4.63^**	2.51^**	2.51^**	2.45^**	1.22	1.50	2.13^**	1.40	1.21
Environment×Genotype
误差Error	58.92	45.30	0.11	3.47	96.59	2.75	5.72	510 400.10	0.02	4.07	982 529.70

处理 Treatment	参数 Parameter	PH/cm	LA/cm²	SNN	TNL/cm	SLDW/g	SL/cm	SWP/g	KPS	TGW/g	GWP/g	Y/g
CK	平均值	150.45	85.45	14.62	28.74	39.64	22.27	15.88	3 989.02	2.88	11.41	3 304.54
	标准差	19.65	20.11	1.02	3.08	14.65	3.78	3.17	990.06	0.23	2.67	1 598.01
	变异系数/%	13.06	23.54	6.95	10.71	36.96	16.98	19.98	24.82	7.94	23.40	48.36
DS	平均值	114.54	69.11	14.17	21.25	27.69	18.28	8.91	2 143.92	2.84	5.98	1 303.40
	标准差	22.27	21.57	1.21	4.15	10.93	3.33	1.95	650.99	0.26	1.64	564.67
	变异系数/%	19.45	31.21	8.53	19.52	39.49	18.21	21.86	30.36	9.27	27.38	43.32
DS-CK	平均值	-35.90	-17.18	-0.44	-7.49	-11.95	-3.99	-6.97	-1 845.11	-0.04	-5.44	-2 001.12
	标准差	15.67	12.85	0.74	3.44	17.46	2.90	3.59	1 071.84	0.21	2.98	1 686.95
	标准误	1.65	1.35	0.08	0.36	1.84	0.31	0.38	112.98	0.02	0.31	180.86
	t值	-16.408^**	-9.724^**	-4.102^**	-17.040^**	-5.153^**	-10.327^**	-17.673^**	-14.153^**	-1.485	-15.280^**	-8.884^**

处理 Treatment	参数 Parameter	PH/cm	LA/cm²	SNN	TNL/cm	SLDW/g	SL/cm	SWP/g	KPS	TGW/g	GWP/g	Y/g
CK	平均值	150.45	85.45	14.62	28.74	39.64	22.27	15.88	3 989.02	2.88	11.41	3 304.54
	标准差	19.65	20.11	1.02	3.08	14.65	3.78	3.17	990.06	0.23	2.67	1 598.01
	变异系数/%	13.06	23.54	6.95	10.71	36.96	16.98	19.98	24.82	7.94	23.40	48.36
DS	平均值	114.54	69.11	14.17	21.25	27.69	18.28	8.91	2 143.92	2.84	5.98	1 303.40
	标准差	22.27	21.57	1.21	4.15	10.93	3.33	1.95	650.99	0.26	1.64	564.67
	变异系数/%	19.45	31.21	8.53	19.52	39.49	18.21	21.86	30.36	9.27	27.38	43.32
DS-CK	平均值	-35.90	-17.18	-0.44	-7.49	-11.95	-3.99	-6.97	-1 845.11	-0.04	-5.44	-2 001.12
	标准差	15.67	12.85	0.74	3.44	17.46	2.90	3.59	1 071.84	0.21	2.98	1 686.95
	标准误	1.65	1.35	0.08	0.36	1.84	0.31	0.38	112.98	0.02	0.31	180.86
	t值	-16.408^**	-9.724^**	-4.102^**	-17.040^**	-5.153^**	-10.327^**	-17.673^**	-14.153^**	-1.485	-15.280^**	-8.884^**

编号 Code	PH	LA	SNN	TNL	SLDW	SL	SWP	KPS	TGW	GWP	Y	平均值 Mean
G1	0.886	0.835	1.005	0.782	0.837	0.867	0.701	0.838	0.936	0.789	0.704	0.835
G2	0.770	0.811	0.975	0.731	0.809	0.868	0.512	0.427	1.107	0.475	0.447	0.721
G3	0.760	0.820	0.961	0.736	0.918	0.765	0.574	0.482	1.024	0.500	0.427	0.724
G4	0.804	0.954	1.002	0.770	0.713	0.923	0.655	0.636	1.012	0.636	0.550	0.787
G5	0.739	0.735	0.957	0.752	0.435	0.837	0.673	0.739	0.961	0.680	0.920	0.766
G6	0.567	0.581	0.886	0.538	0.335	0.647	0.405	0.399	0.937	0.379	0.250	0.538
G7	0.751	0.756	1.061	0.692	0.491	0.823	0.603	0.621	0.884	0.560	0.576	0.711
G8	0.696	0.661	0.936	0.643	0.506	0.734	0.489	0.442	1.014	0.450	0.385	0.632
G9	0.820	0.875	1.021	0.716	1.193	0.641	0.527	0.536	1.000	0.533	0.483	0.759
G10	0.749	0.723	0.962	0.758	0.893	0.779	0.568	0.678	0.976	0.680	0.553	0.756
G11	0.577	0.608	0.930	0.583	0.334	0.706	0.425	0.395	0.972	0.393	0.290	0.565
G12	0.716	0.709	0.965	0.686	0.282	0.765	0.525	0.424	0.939	0.339	0.239	0.599
G13	0.805	0.934	0.983	0.845	0.970	0.891	0.439	0.313	0.995	0.311	0.228	0.701
G14	0.806	0.950	0.970	0.777	0.932	0.921	0.648	0.613	0.970	0.598	0.734	0.811
G15	0.868	0.940	0.940	0.877	0.534	0.871	0.660	0.569	1.100	0.626	0.609	0.781
G16	0.809	0.804	0.969	0.847	0.970	0.864	0.492	0.376	1.029	0.391	0.319	0.716
G17	0.843	0.928	0.975	0.820	0.967	0.989	0.591	0.548	0.981	0.535	0.534	0.792
G18	0.623	0.699	0.915	0.582	0.463	0.682	0.449	0.453	1.024	0.456	0.378	0.611
G19	0.751	0.751	0.955	0.661	0.672	0.833	0.466	0.526	0.974	0.479	0.460	0.684
G20	0.627	0.753	0.927	0.684	0.410	0.804	0.488	0.434	0.985	0.437	0.393	0.631
G21	0.684	0.848	0.975	0.685	0.591	0.839	0.575	0.535	1.053	0.563	0.651	0.727
G22	0.778	0.784	0.992	0.738	0.681	0.869	0.561	0.612	0.958	0.586	0.535	0.736
G23	0.737	0.939	0.960	0.766	0.674	0.714	0.650	0.590	0.949	0.568	0.520	0.733
G24	0.786	0.681	0.898	0.839	0.511	0.784	0.533	0.395	1.044	0.417	0.345	0.658
G25	0.739	0.816	0.913	0.718	1.181	0.923	0.673	0.691	1.015	0.693	0.871	0.839
G26	0.852	0.852	1.030	0.704	1.177	0.903	0.752	0.721	0.995	0.722	0.940	0.877
G27	0.675	0.817	0.995	0.686	0.485	0.809	0.510	0.513	0.922	0.478	0.394	0.662
G28	0.817	0.650	0.963	0.872	0.482	0.795	0.431	0.415	1.031	0.421	0.366	0.658
G29	0.815	0.806	1.001	0.900	0.955	0.925	0.659	0.573	0.944	0.549	0.492	0.783
G30	0.900	0.960	1.051	0.729	1.093	0.889	0.783	0.840	0.843	0.735	0.728	0.868
平均值 Mean	0.758	0.799	0.969	0.737	0.716	0.822	0.567	0.544	0.986	0.533	0.511	0.722
标准差s	0.085	0.107	0.042	0.089	0.276	0.088	0.101	0.136	0.056	0.124	0.194	0.086
变异系数/%	11.209	13.438	4.303	12.044	38.490	10.656	17.799	25.025	5.720	23.350	37.895	11.975
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