基于GGE双标图的高粱品种农艺性状和稳产性分析

doi:10.16035/j.issn.1001-7283.2023.02.006

Abstract

Abstract:

In order to screen new sorghum varieties with high and stable yield and high adaptability, and promote the sustainable development of sorghum industry in the western Liaoning, the yield and agronomic traits of 30 sorghum cultivars were analyzed by GGE biplot in R language using a random incomplete block design (alpha- lattice design) with three replicates from 2019 to 2020. The analysis of variance showed that year, genotype, and interaction between genotype and year had significant effects on sorghum yield and related agronomic traits (P<0.05), and the proportion of the sum of squares of yield variation to the total sum of squares was 32.1%, 41.3% and 11.3%, respectively. Genotype had the greatest contribution to yield and related agronomic characteristics. The genotypic effects of plant height and spike length were higher. GGE biplot showed that Liaoza 19, Pingshi 13 and Jiliang 2 had better high and stable yield. Liaoza 19 and Pingshi 13 had better comprehensive traits in plant height, yield, spike weight and grain weight per spike. Liaoza 19 was the closest to the “ideal variety”, followed by Pingshi 13. Pearson correlation analysis showed that the grain yield of sorghum was positively correlated with plant height, spike weight, grain weight per spike and kernels number per spike (P<0.01). Based on the tested varieties, the high-stalk varieties had more yield advantages than the low-stalk varieties. Liaoza 19, Pingshi 13 and Jiliang 2 had better performance both in yield and its stability in Chaoyang area. In a specific ecological region, genotype was the main factor affecting the difference of yield and related agronomic traits.

Key words: GGE biplot, Sorghum, Yield, Agronomic trait, Stability

Xiao Jibing, Liu Zhi, Kong Fanxin, Xin Zongxu, Wu Hongsheng. Analysis of Agronomic Traits and Yield Stability of Sorghum Varieties Based on GGE Biplot[J].Crops, 2023, 39(2): 36-45.

Figures/Tables 9

Table 1

Table 2

Table 3

Table 4

Agronomic traits of sorghum varieties in two years"

编号Code	PD (plants/hm²)	PH (cm)	SL (cm)	SWP (g)	GWP (g)	KPS	TGW (g)	GP (d)
S1	90 000	221.7±9.1	28.1±2.4	139.4±26.3	108.2±20.3	3857.0±58.2	28.0±3.0	105
S2	150 000	154.0±5.2	28.0±2.1	85.9±20.2	69.6±15.6	3077.4±634.4	22.6±2.5	101
S3	105 000	159.7±4.8	25.5±1.8	78.4±10.5	63.4±14.5	1927.1±146.9	32.9±2.7	112
S4	105 000	153.2±5.6	27.8±0.9	90.5±25.4	69.8±20.9	3415.9±162.0	20.4±4.1	98
S5	105 000	171.9±5.9	33.5±1.1	98.6±6.4	81.1±12.5	3487.8±137.8	23.2±1.9	101
S6	120 000	124.1±7.3	25.5±1.6	73.0±8.4	60.1±3.0	2607.0±124.8	23.0±2.5	107
S7	105 000	140.9±11.3	30.6±1.5	91.1±23.6	75.6±9.9	3566.3±105.3	21.2±2.2	92
S8	180 000	150.7±5.7	31.5±1.1	90.4±7.0	75.4±13.4	4901.1±219.7	15.4±0.8	104
S9	120 000	160.7±3.0	29.2±0.9	119.1±22.3	96.6±18.2	3820.2±246.5	25.3±0.9	99
S10	120 000	160.2±3.3	27.5±1.0	115.3±5.4	93.4±8.0	3639.5±140.3	25.7±4.7	101
S11	120 000	150.9±10.4	22.8±1.4	97.2±5.5	81.5±7.8	4217.9±19.2	19.3±1.9	98
S12	120 000	160.6±11.6	27.0±0.9	118.3±9.7	95.9±8.0	3683.9±31.8	26.0±1.4	101
S13	120 000	160.8±13.1	28.6±1.3	110.5±23.1	88.8±19.1	3851.4±222.6	23.1±1.2	97
S14	120 000	93.6±5.8	24.7±1.1	55.1±8.8	44.2±6.6	2290.3±131.4	19.3±2.9	89
S15	120 000	164.6±8.6	31.6±2.1	111.2±15.5	93.8±5.4	3948.6±117.1	23.8±2.2	104
S16	120 000	169.3±11.2	31.6±1.2	115.2±10.3	97.6±7.6	4209.7±34.0	23.2±2.4	104
S17	120 000	131.8±10.1	30.8±0.9	68.9±29.4	75.5±7.2	3530.1±295.8	21.4±0.8	95
S18	135 000	129.5±8.2	34.7±3.7	77.1±10.8	59.6±10.4	2194.5±94.4	27.2±1.9	108
S19	135 000	166.1±8.1	32.8±1.2	97.2±9.5	80.5±3.9	2984.1±189.8	27.0±0.7	101
S20	150 000	183.0±5.9	34.2±0.3	105.5±32.9	91.1±22.2	3197.6±102.0	28.5±4.5	103
S21	120 000	138.6±4.4	28.1±2.9	99.4±9.4	83.9±13.1	3578.9±41.2	23.4±2.8	100
S22	120 000	136.1±5.8	28.9±0.7	96.5±9.5	80.6±7.4	3286.2±49.0	24.5±1.5	98
S23	97 500	169.3±6.4	28.8±1.3	85.8±11.4	63.4±9.2	2538.7±65.7	25.0±2.7	103
S24	97 500	159.5±5.5	26.1±1.6	100.8±12.6	77.9±8.9	3111.8±106.0	25.0±1.1	97
S25	97 500	99.0±5.8	25.4±2.6	66.6±14.1	51.5±6.8	2524.0±165.7	20.4±0.9	101
S26	180 000	126.7±3.2	29.3±0.9	59.4±8.6	43.9±6.7	2582.4±75.7	17.0±1.2	112
S27	150 000	142.5±4.1	30.7±1.1	70.4±9.8	53.7±5.9	2509.3±542.3	21.4±1.3	108
S28	150 000	132.8±14.2	31.1±0.6	80.1±5.7	58.5±8.7	2142.1±80.1	27.3±2.6	93
S29	150 000	165.8±4.1	30.7±1.2	80.3±14.7	56.9±16.4	2671.2±318.8	21.3±0.7	101
S30	225 000	126.6±5.1	32.6±1.6	59.7±10.9	45.9±10.0	2038.0±225.7	22.5±1.2	93
平均值Average		150.1	29.2	91.2	73.9	3179.7	23.5	100.6
变异系数CV (%)		16.54	10.11	22.40	23.85	23.41	15.36	5.56

Table 4

Table 5

Fig.1

Fig.2

Fig.3

Table 6

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气象因子 Meteorological factor	2019						2020
气象因子 Meteorological factor	5月 May	6月 June	7月 July	8月 August	9月 September	总和 Sum	5月 May	6月 June	7月 July	8月 August	9月 September	总和 Sum
降雨量Rainfall (mm)	24.6	53.8	85.8	59.4	17.4	241.0	56.2	35.2	67.0	154.5	69.1	382.0
≥10℃积温≥10℃ accumulated temperature (℃)	675.8	728.5	821.5	740.9	620.0	3586.7	570.4	753.3	802.9	775.0	564.2	3465.8
日照时数Sunshine hour (h)	319.3	351.4	359.3	321.2	275.8	1627.0	329.3	363.3	360.6	324.9	277.4	1655.5

编号Code	名称Name	来源Origin	编号Code	名称Name	来源Origin
S1	辽杂19号	辽宁省农业科学院	S16	吉杂145	吉林省农业科学院
S2	辽杂37号	辽宁省农业科学院	S17	吉杂159	吉林省农业科学院
S3	辽粘3号	辽宁省农业科学院	S18	济粱1	山东省农业科学院
S4	白杂11号	吉林省白城市农业科学院	S19	济粱2	山东省农业科学院
S5	白杂12号	吉林省白城市农业科学院	S20	平试13	甘肃省平凉市农业科学研究所
S6	白杂13号	吉林省白城市农业科学院	S21	通杂108	通辽市农业科学院
S7	白杂14号	吉林省白城市农业科学院	S22	通杂127	通辽市农业科学院
S8	机糯粱1号	四川省农业科学院	S23	锦杂110	锦州市农业科学院
S9	吉杂124	吉林省农业科学院	S24	赤杂101	赤峰市农牧科学研究院
S10	吉杂127	吉林省农业科学院	S25	赤杂119	赤峰市农牧科学研究院
S11	吉杂136	吉林省农业科学院	S26	晋杂34号	山西省农业科学院
S12	吉杂137	吉林省农业科学院	S27	晋中0742	山西省农业科学院
S13	吉杂138	吉林省农业科学院	S28	辽夏粱2	辽宁省农业科学院
S14	吉杂140	吉林省农业科学院	S29	龙米粱1号	黑龙江省农业科学院
S15	吉杂142	吉林省农业科学院	S30	龙杂13	黑龙江省农业科学院

编号 Code	2019	2020	平均产量 Average yield
S1	8577.5±317.1	10 816.0±250.4	9696.8±216.7
S2	6398.0±320.5	6405.0±625.4	6401.5±472.5
S3	7375.0±329.4	7851.0±337.5	7613.0±323.7
S4	8540.7±343.2	9532.6±642.9	9036.6±215.5
S5	8576.6±524.7	10 238.5±750.9	9407.5±203.6
S6	4396.7±978.9	7203.6±449.6	5800.1±654.1
S7	6981.3±678.2	9465.9±680.5	8223.6±307.8
S8	6975.8±717.1	10116.2±397.8	8546.0±176.5
S9	6742.3±1331.4	10 271.9±1225.7	8507.1±1154.1
S10	7148.0±950.6	10 077.3±642.5	8612.6±629.0
S11	6797.8±215.0	9921.7±682.4	8359.7±233.8
S12	6948.0±888.2	10 866.6±744.7	8907.3±251.0
S13	6859.0±1774.3	10 333.0±1562.7	8596.0±1593.4
S14	5208.2±287.0	6008.6±610.9	5608.4±421.5
S15	8220.8±721.6	9871.6±437.4	9046.2±565.3
S16	8209.7±873.5	9449.2±1175.6	8829.4±837.9
S17	6853.5±508.8	7920.7±581.4	7387.1±369.4
S18	5408.2±1635.6	10 255.2±981.2	7831.7±1261.6
S19	8354.2±1595.7	11 172.3±356.5	9763.2±670.9
S20	8454.3±656.3	11 372.4±303.4	9913.3±478.4
S21	7787.2±350.2	10 510.8±855.9	9149.0±566.0
S22	7192.5±1017.3	8960.1±756.2	8076.3±574.6
S23	6080.8±915.2	6547.7±167.0	6314.3±532.3
S24	5686.2±953.7	7715.0±619.7	6700.6±375.1
S25	7112.9±414.8	8320.9±986.4	7716.9±460.3
S26	5801.0±960.5	7945.0±1374.8	6873.0±224.5
S27	7707.5±215.1	8069.5±120.4	7888.5±147.6
S28	4885.5±1622.2	10 266.2±1154.6	7575.9±1372.5
S29	4418.9±1632.9	7409.3±271.6	5914.1±710.6
S30	3924.0±1232.3	6464.3±520.5	5194.1±415.2
平均值Average	6787.4	9045.2	7916.3
变异系数CV (%)	19.70	17.49	16.56

农艺性状 Agronomic trait	参数 Parameter	变异来源Source of variation
农艺性状 Agronomic trait	参数 Parameter	年份 Year	重复 Repetition	区组 Block	品种 Variety	年份×品种 Year×variety	误差 Error	总变异 Total variation
PH	平方和	161.9	30.0	203.3	101 404.1	3160.9	4575.2	123 266.5
	F值	4.0	0.4	1.0	86.4	2.7
	P值	0.0479	0.6915	0.4186	0.0000	0.0001
	占总变异比例 (%)	0.1	0.0	0.2	82.3	2.6
SL	平方和	47.4	9.7	22.3	2059.6	94.7	230.8	2658.1
	F值	23.2	2.4	2.2	34.8	1.6
	P值	0.0000	0.0984	0.0605	0.0000	0.0431
	占总变异比例 (%)	1.8	0.4	0.8	77.5	3.6
SWP	平方和	11 137.6	6297.2	162.8	54 357.0	30 230.2	12 744.4	121 272.4
	F值	98.8	27.9	0.3	16.6	9.2
	P值	0.0000	0.0000	0.9184	0.0000	0.0000
	占总变异比例 (%)	9.2	5.2	0.1	44.8	24.9
农艺性状 Agronomic trait	参数 Parameter	变异来源Source of variation
农艺性状 Agronomic trait	参数 Parameter	年份 Year	重复 Repetition	区组 Block	品种 Variety	年份×品种 Year×variety	误差 Error		总变异 Total variation
GWP	平方和	7411.3	4052.8	219.3	43 768.5	22 383.7	9547.4		90 403.7
	F值	87.7	24.0	0.5	17.9	9.1
	P值	0.0000	0.0000	0.7614	0.0000	0.0000
	占总变异比例 (%)	8.2	4.5	0.2	48.4	24.8
KPS	平方和	1 111 592.7	1 171 682.1	286 296.5	85 260 730.0	77 825 588.1	17 035 935.9		193 708 021.4
	F值	7.4	3.9	0.4	19.5	17.8
	P值	0.0077	0.0233	0.8617	0.0000	0.0000
	占总变异比例 (%)	0.6	0.6	0.1	44.0	40.2
TGW	平方和	892.9	205.2	26.1	1334.8	907.2	463.4		3856.0
	F值	217.7	25.0	1.3	11.2	7.6
	P值	0.0000	0.0000	0.2810	0.0000	0.0000
	占总变异比例 (%)	23.2	5.3	0.7	34.6	23.5
Y	平方和	220 023 244.8	2 845 744.5	5 114 880.6	283 334 355.5	77 296 430.0	81 878 279.1		686 295 650.4
	F值	303.7	2.0	1.4	13.5	3.7
	P值	0.0000	0.1451	0.2253	0.0000	0.0000
	占总变异比例 (%)	32.1	0.4	0.7	41.3	11.3

性状Trait	PH	SL	SWP	GWP	PD	KPS	TGW	GP	Y
PH	1.000
SL	0.229	1.000
SWP	0.799^**	0.041	1.000
GWP	0.733^**	0.075	0.959^**	1.000
PD	-0.244	0.430^*	-0.424^*	-0.422^*	1.000
KPS	0.454^*	0.005	0.698^**	0.776^**	-0.198	1.000
TGW	0.454^*	0.125	0.394^*	0.351	-0.312	-0.281	1.000
GP	0.284	0.091	0.059	0.012	0.023	-0.076	0.207	1.000
Y	0.555^**	0.269	0.721^**	0.756^**	-0.331	0.611^**	0.269	0.166	1.000

Analysis of Agronomic Traits and Yield Stability of Sorghum Varieties Based on GGE Biplot

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