Screening and Evaluation of Low-potassium Tolerance Potato Varieties

doi:10.11983/CBB23016

Abstract

Abstract: Soil potassium deficiency has severely reduced the potato field production in China. Fortunately, different potato varieties respond to low-potassium conditions very differently. Therefore, the utilization of potato varieties with low-potassium tolerance is an important approach to reduce potassium application by increasing potassium utilization efficiency, thus promoting the sustainability and the green development of agriculture in China. In this study, 17 biological features of 30 potato varieties were examined under normal potassium (202.5 kg∙hm^-2K₂O) and low potassium conditions (0 kg∙hm^-2K₂O), and nine representative features, including leaf area index, root-shoot ratio, shoot dry mass, root dry mass, tuber yield per plant, large tuber yield per plant, small tuber yield per plant, tuber dry mass, and tuber potassium accumulation were selected for subsequent analysis. The results showed that all feature values went down under the low potassium condition. Principal component analysis revealed that the nine features can be transformed into 4 independent comprehensive components, with a cumulative contributive rate of 87.1%. According to the comprehensive evaluation value (D value) and cluster analysis, the 30 varieties can be divided into 6 categories, including seven high tolerant varieties to low potassium: Lucinda, Favorita, Kexin1, Xisen6, Xingjia2, Helan15 and Chuanyin2, and six varieties with moderate tolerance to low potassium: Longshu20, Dingshu3, Jizhang12(W), Jiuen1, Longshu19, Jizhang12(Y). Furthermore, we developed a regression model Y=-0.595+0.247X₅+0.155X₄+0.138X₃+0.167X₈+0.088X₁+0.081X₆+0.097X₉+ 0.053X₂(R²=0.999, P=0.000) to distinguish the 30 varieties from each other with an accuracy above 90%. In summary, under low potassium condition, several features, including tuber yield per plant, root dry mass, shoot dry mass, tuber dry mass, leaf area index, large tuber yield per plant, tuber potassium accumulation and root-shoot ratio can be used to rapidly identify low potassium tolerant varieties.

Key words: Solanum tuberosum, low potassium, comprehensive evaluation, variety screening, green agriculture

Yindu Liu, Junkang Tuo, Chengju Li, Feng Zhang, Chunli Zhang, Ying Zhang, Yunjiao Wang, Youfang Fan, Panfeng Yao, Chao Sun, Yuhui Liu, Zhen Liu, Zhenzhen Bi, Jiangping Bai. Screening and Evaluation of Low-potassium Tolerance Potato Varieties[J]. Chinese Bulletin of Botany, 2024, 59(1): 75-88.

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URL: https://www.chinbullbotany.com/EN/10.11983/CBB23016

https://www.chinbullbotany.com/EN/Y2024/V59/I1/75

Figures/Tables 11

References 47

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No.	Cultivars	Main planting area
1	Helan15	Shandong
2	Favorita	Heilongjiang, Liaoning, Inner Mongolia, Hebei, Shandong, Jiangsu, Guangdong
3	Xingjia2	Guangdong, Guangxi, Jiangxi, Fujian, Sichuan
4	Xuechuan8	Inner Mongolia, Shanxi
5	Longshu20	Gansu
6	Xisen6	Inner Mongolia, Heilongjiang, Hebei, Shanxi, Shaanxi, Ningxia, Shandong, Sichuan
7	Lucinda	Inner Mongolia, Heilongjiang, Jilin, Liaoning, Hebei, Shanxi, Shaanxi, Ningxia, Gansu, Xinjiang
8	Atlantic	Guangxi, Shanxi, Tianjin, Inner Mongolia, Gansu
9	Chuanyin2	Hebei, Inner Mongolia
10	Jizhang12(Y)	Hebei, Shanxi, Shaanxi, Inner Mongolia, Tianjin, Gansu
11	Lishu6	Yunnan
12	Dingshu4	Gansu
13	Xindaping	Gansu
14	Longshu7	Guangdong, Qinghai, Ningxia, Inner Mongolia, Heilongjiang, Jilin, Liaoning, Gansu, Yunnan, Guizhou, Guangdong, Guangxi
15	Huasong7	Inner Mongolia, Hebei, Shanxi, Shaanxi, Gansu, Ningxia, Yunnan, Guizhou, Xinjiang, Qinghai, Xizang, Guangdong, Fujian, Guangxi, Hubei, Hunan, Shandong
16	Longshu14	Gansu, Inner Mongolia
17	Dingshu6	Gansu, Inner Mongolia
18	Longshu22	Gansu
19	Qingshu9	Qinghai, Ningxia, Gansu
20	L0109-4	Gansu
21	Jizhang12(W)	Hebei, Shanxi, Shaanxi, Inner Mongolia, Tianjin, Gansu
22	Longshu10	Gansu
23	Heijingang	Inner Mongolia, Heilongjiang, Gansu, Xinjiang, Sichuan, Jilin, Liaoning, Hebei, Shanxi, Shaanxi, Ningxia, Shandong, Henan
24	Jiuen1	Hebei, Henan, Shandong, Inner Mongolia, Guangdong, Fujian
25	Longshu19	Gansu
26	Qingshu10	Qinghai
27	Kexin1	Heilongjiang, Jilin, Liaoning, Hebei, Inner Mongolia, Shanxi, Shaanxi, Gansu
28	Dingshu3	Qinghai, Ningxia, Gansu
29	Zhuangshu3	Qinghai, Ningxia, Gansu
30	Longshu3	Gansu, Ningxia, Shanxi, Qinghai, Xinjiang, Hebei, Inner Mongolia, Heilongjiang

No.	Cultivars	Main planting area
1	Helan15	Shandong
2	Favorita	Heilongjiang, Liaoning, Inner Mongolia, Hebei, Shandong, Jiangsu, Guangdong
3	Xingjia2	Guangdong, Guangxi, Jiangxi, Fujian, Sichuan
4	Xuechuan8	Inner Mongolia, Shanxi
5	Longshu20	Gansu
6	Xisen6	Inner Mongolia, Heilongjiang, Hebei, Shanxi, Shaanxi, Ningxia, Shandong, Sichuan
7	Lucinda	Inner Mongolia, Heilongjiang, Jilin, Liaoning, Hebei, Shanxi, Shaanxi, Ningxia, Gansu, Xinjiang
8	Atlantic	Guangxi, Shanxi, Tianjin, Inner Mongolia, Gansu
9	Chuanyin2	Hebei, Inner Mongolia
10	Jizhang12(Y)	Hebei, Shanxi, Shaanxi, Inner Mongolia, Tianjin, Gansu
11	Lishu6	Yunnan
12	Dingshu4	Gansu
13	Xindaping	Gansu
14	Longshu7	Guangdong, Qinghai, Ningxia, Inner Mongolia, Heilongjiang, Jilin, Liaoning, Gansu, Yunnan, Guizhou, Guangdong, Guangxi
15	Huasong7	Inner Mongolia, Hebei, Shanxi, Shaanxi, Gansu, Ningxia, Yunnan, Guizhou, Xinjiang, Qinghai, Xizang, Guangdong, Fujian, Guangxi, Hubei, Hunan, Shandong
16	Longshu14	Gansu, Inner Mongolia
17	Dingshu6	Gansu, Inner Mongolia
18	Longshu22	Gansu
19	Qingshu9	Qinghai, Ningxia, Gansu
20	L0109-4	Gansu
21	Jizhang12(W)	Hebei, Shanxi, Shaanxi, Inner Mongolia, Tianjin, Gansu
22	Longshu10	Gansu
23	Heijingang	Inner Mongolia, Heilongjiang, Gansu, Xinjiang, Sichuan, Jilin, Liaoning, Hebei, Shanxi, Shaanxi, Ningxia, Shandong, Henan
24	Jiuen1	Hebei, Henan, Shandong, Inner Mongolia, Guangdong, Fujian
25	Longshu19	Gansu
26	Qingshu10	Qinghai
27	Kexin1	Heilongjiang, Jilin, Liaoning, Hebei, Inner Mongolia, Shanxi, Shaanxi, Gansu
28	Dingshu3	Qinghai, Ningxia, Gansu
29	Zhuangshu3	Qinghai, Ningxia, Gansu
30	Longshu3	Gansu, Ningxia, Shanxi, Qinghai, Xinjiang, Hebei, Inner Mongolia, Heilongjiang

Item		X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉
NPK	Mean value	2.72	0.06	70.94	7.33	0.99	0.58	0.41	0.22	2.73
	Maximum	4.45	0.10	193.06	27.13	1.60	1.14	0.92	0.31	4.59
	Minimum	1.48	0.04	15.70	1.85	0.59	0.32	0.16	0.14	1.54
	Range	2.97	0.06	177.36	25.27	1.01	0.82	0.76	0.18	3.05
	Variation of coefficient (%)	25.3	22.3	55.3	68.9	23.8	35.7	41.5	24.2	29.0
NP	Mean value	3.50	0.06	86.21	8.41	0.91	0.50	0.40	0.20	2.52
	Maximum	5.20	0.10	161.21	38.54	1.45	1.08	0.91	0.33	4.32
	Minimum	2.15	0.03	24.24	1.80	0.37	0.19	0.15	0.09	1.18
	Range	3.05	0.07	136.97	36.74	1.08	0.89	0.76	0.24	3.13
	Variation of coefficient (%)	21.1	29.4	48.5	80.2	27.8	45.0	36.7	24.7	28.1
LPTC	Mean value	1.33	0.94	1.28	1.16	0.93	0.88	1.05	0.93	0.95
	Maximum	1.66	1.42	1.66	1.76	1.35	1.51	2.18	1.31	1.37
	Minimum	0.68	0.56	0.72	0.48	0.53	0.34	0.61	0.59	0.52
	Range	0.98	0.86	0.94	1.28	0.83	1.18	1.57	0.72	0.85
	Variation of coefficient (%)	20.5	24.6	23.8	28.4	23.5	30.1	30.9	21.8	24.4

Item		X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉
NPK	Mean value	2.72	0.06	70.94	7.33	0.99	0.58	0.41	0.22	2.73
	Maximum	4.45	0.10	193.06	27.13	1.60	1.14	0.92	0.31	4.59
	Minimum	1.48	0.04	15.70	1.85	0.59	0.32	0.16	0.14	1.54
	Range	2.97	0.06	177.36	25.27	1.01	0.82	0.76	0.18	3.05
	Variation of coefficient (%)	25.3	22.3	55.3	68.9	23.8	35.7	41.5	24.2	29.0
NP	Mean value	3.50	0.06	86.21	8.41	0.91	0.50	0.40	0.20	2.52
	Maximum	5.20	0.10	161.21	38.54	1.45	1.08	0.91	0.33	4.32
	Minimum	2.15	0.03	24.24	1.80	0.37	0.19	0.15	0.09	1.18
	Range	3.05	0.07	136.97	36.74	1.08	0.89	0.76	0.24	3.13
	Variation of coefficient (%)	21.1	29.4	48.5	80.2	27.8	45.0	36.7	24.7	28.1
LPTC	Mean value	1.33	0.94	1.28	1.16	0.93	0.88	1.05	0.93	0.95
	Maximum	1.66	1.42	1.66	1.76	1.35	1.51	2.18	1.31	1.37
	Minimum	0.68	0.56	0.72	0.48	0.53	0.34	0.61	0.59	0.52
	Range	0.98	0.86	0.94	1.28	0.83	1.18	1.57	0.72	0.85
	Variation of coefficient (%)	20.5	24.6	23.8	28.4	23.5	30.1	30.9	21.8	24.4

Cultivars	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉
Helan15	0.68	1.10	1.66	1.76	1.10	1.20	0.80	0.98	1.10
Favorita	1.55	0.76	1.54	1.34	1.22	1.19	1.26	1.17	1.10
Xingjia2	1.29	0.94	1.55	1.07	1.22	1.39	0.98	1.25	1.21
Xuechuan8	1.43	0.59	0.92	0.77	1.03	0.88	1.45	1.14	1.23
Longshu20	1.60	1.11	1.50	1.46	1.07	1.06	1.13	0.92	0.92
Xisen6	1.55	0.67	1.64	1.38	1.12	1.25	0.95	1.14	1.14
Lucinda	1.61	0.99	1.57	1.55	1.19	0.97	1.64	1.19	1.14
Atlantic	1.60	1.34	0.96	0.62	0.62	0.53	0.83	0.62	0.61
Chuanyin2	1.63	1.42	0.72	1.42	1.24	0.96	1.49	1.31	1.16
Jizhang12(Y)	1.17	1.19	1.07	1.32	1.05	1.06	1.01	0.97	1.24
Lishu6	1.66	1.04	1.21	0.91	0.80	0.73	0.92	0.76	0.89
Dingshu4	1.18	0.85	1.44	0.98	0.97	0.90	1.19	0.91	1.37
Xindaping	0.81	0.71	1.00	0.48	0.87	0.77	1.03	0.89	0.94
Longshu7	1.05	0.70	0.96	0.79	0.85	0.74	0.95	0.83	1.02
Huasong7	0.82	1.38	0.72	0.92	0.70	0.56	0.85	0.67	0.64
Longshu14	1.11	1.27	0.98	1.37	0.80	0.95	0.61	0.93	0.94
Dingshu6	1.05	0.92	0.95	0.93	0.53	0.34	1.19	0.63	0.67
Longshu22	1.20	0.74	1.08	1.33	0.68	0.54	0.81	0.75	0.83
Qingshu9	1.03	1.03	1.11	0.87	0.77	1.12	0.64	0.94	1.03
L0109-4	1.53	0.97	1.30	1.00	0.74	0.53	0.94	0.74	0.60
Jizhang12(W)	1.50	1.15	1.54	1.06	0.98	0.99	0.97	1.17	1.24
Longshu10	1.43	0.93	1.17	0.85	0.83	0.74	1.05	0.94	0.76
Heijingang	1.64	0.87	1.59	1.22	0.81	0.74	0.89	0.83	0.81
Jiuen1	1.24	0.73	1.60	1.72	0.92	0.90	0.95	0.93	0.85
Longshu19	1.27	0.56	0.91	0.81	1.35	1.51	1.19	1.21	1.24
Qingshu10	1.61	0.90	1.57	1.45	0.70	0.69	0.71	0.59	0.52
Kexin1	1.64	0.64	1.65	1.27	1.28	0.91	2.18	1.11	1.05
Dingshu3	1.39	0.95	1.53	1.44	1.13	0.82	1.37	1.09	0.95
Zhuangshu3	1.45	1.01	1.22	0.93	0.77	0.84	0.73	0.72	0.72
Longshu3	1.22	0.71	1.66	1.66	0.67	0.63	0.76	0.70	0.60