中国北方主产区主要地理和气候因子对花生农艺性状和品质的影响

doi:10.3724/SP.J.1006.2025.44220

Abstract

Abstract:

Peanut (Arachis hypogaea L.) is a widely cultivated cash and oilseed crop. Geographical and meteorological conditions, as key environmental factors, play a critical role in determining peanut yield, agronomic performance, and quality traits. To investigate the relationship between peanut traits and environmental variables, we evaluated 37 large-seed and 25 small-seed peanut genotypes using environmental data from 23 geographic and meteorological indicators across major production regions in China in 2020. Significant genotype-by-environment interactions were observed for all 11 traits assessed. Specifically, peanut yield showed a negative correlation with increasing altitude and latitude, and a positive correlation with accumulated temperature. All-growth-stage precipitation played significant role in agronomic traits. Protein content increased with longer sunshine duration. Oil content was significantly and positively associated with accumulated temperature (≥10℃) during the entire growth period, average precipitation, and average diurnal temperature range. Sucrose content also exhibited a positive correlation with average diurnal temperature variation. Notably, genotype was identified as the primary factor influencing oleic and linoleic acid contents. These findings provide valuable insights for regional adaptation and zoning of peanut varieties in northern China and offer practical guidance for improving peanut yield and quality.

Key words: Arachis hypogea L., yield, agronomic traits, quality traits, environmental factors

JIANG Xiao, ZHAO Jian-Xin, BI Jing-Nan, XU Jing, YIN Xiang-Zhen, ZHAO Xu-Hong, PAN Li-Juan, CHEN Na, Ma Jun-Qing, HAN Peng, YANG Zhen, CHI Xiao-Yuan. Effects of major geographic and climatic factors on agronomic traits and quality of peanut in the main production areas of northern China[J].Acta Agronomica Sinica, 2025, 51(10): 2805-2820.

Figures/Tables 7

Table 1

Average yield values of different peanut varieties"

品种 Variety	荚果产量 Pod yield (kg hm^-2)	籽仁产量 Kernel yield (kg hm^-2)	品种 Variety	荚果产量 Pod yield (kg hm^-2)	籽仁产量 Kernel yield (kg hm^-2)
大粒型1 Large type 1	4633.80	3234.60	小粒型1 Small type 1	4316.10	3208.50
大粒型2 Large type 2	5477.25	3744.15	小粒型2 Small type 2	4203.90	3064.65
大粒型3 Large type 3	5165.55	3605.25	小粒型3 Small type 3	4037.40	2989.50
大粒型4 Large type 4	4685.55	3300.60	小粒型4 Small type 4	4716.00	3428.25
大粒型5 Large type 5	5091.60	3468.90	小粒型5 Small type 5	4346.85	3157.35
大粒型6 Large type 6	4949.70	3467.25	小粒型6 Small type 6	4769.85	3480.00
大粒型7 Large type 7	4323.90	3015.60	小粒型7 Small type 7	4765.95	3313.20
大粒型8 Large type 8	4963.80	3595.65	小粒型8 Small type 8	4746.60	3471.75
大粒型9 Large type 9	5136.45	3629.40	小粒型9 Small type 9	4875.90	3538.80
大粒型10 Large type 10	5010.15	3607.95	小粒型10 Small type 10	4400.55	3251.55
大粒型11 Large type 11	4546.35	3147.90	小粒型11 Small type 11	4790.10	3602.55
大粒型12 Large type 12	4767.15	3427.35	小粒型12 Small type 12	4545.90	3234.00
大粒型13 Large type 13	4688.40	3326.25	小粒型13 Small type 13	4320.75	3146.70
大粒型14 Large type 14	4437.90	3247.65	小粒型14 Small type 14	4167.45	3084.60
大粒型15 Large type 15	4432.20	3212.10	小粒型15 Small type 15	4749.45	3539.55
大粒型16 Large type 16	4942.05	3601.50	小粒型16 Small type 16	4373.40	2908.95
大粒型17Large type 17	5143.95	3658.65	小粒型17 Small type 17	4545.15	3321.15
大粒型18 Large type 18	5160.15	3570.00	小粒型18 Small type 18	4486.65	3131.10
大粒型19 Large type 19	4346.70	3333.15	小粒型19 Small type 19	4536.75	3384.15
大粒型20 Large type 20	5051.40	3534.30	小粒型20 Small type 20	4440.00	3019.95
大粒型21 Large type 21	4875.60	3239.25	小粒型21 Small type 21	4008.60	2833.05
大粒型22 Large type 22	4453.95	3215.55	小粒型22 Small type 22	4687.20	3346.80
大粒型23 Large type 23	4514.25	3280.35	小粒型23 Small type 23	4094.70	2934.00
大粒型24 Large type 24	4801.80	3275.85	小粒型24 Small type 24	4704.60	3463.20
大粒型25 Large type 25	4662.45	3263.10	小粒型25 Small type 25	3850.35	2752.05
大粒型26 Large type 26	5243.10	3558.60	小粒型均值Mean of small type	4459.21	3224.21
大粒型27 Large type 27	5147.55	3455.85
大粒型28 Large type 28	4876.80	3283.80
大粒型29 Large type 29	4635.45	3156.75
大粒型30 Large type 30	4357.35	3138.30
大粒型31 Large type 31	4499.25	3234.90
大粒型32 Large type 32	5177.25	3609.30
大粒型33 Large type 33	5203.50	3612.60
大粒型34 Large type 34	4734.30	3430.80
大粒型35 Large type 35	4890.15	3463.05
大粒型36 Large type 36	4893.45	3322.95
大粒型37 Large type 37	5263.80	3620.10
大粒型均值Mean of large type	4842.81	3402.41

Table 1

Table 2

Average values of agronomic traits in peanut varieties"

品种 Variety	主茎高 Main stem height(cm)	侧枝长 Branch length(cm)	分枝数(个) Branch number	单株结果数(个) Pod number per plant	品种 Variety	主茎高 Main stem height(cm)	侧枝长 Branch length(cm)	分枝数(个) Branch number	单株结果数(个) Pod number per plant
大粒型1 Large type 1	47.38	53.10	8	16	大粒型33 Large type 33	41.73	45.54	8	20
大粒型2 Large type 2	41.55	44.42	8	17	大粒型34 Large type 34	32.78	36.50	6	19
大粒型3 Large type 3	42.43	45.10	7	16	大粒型35 Large type 35	38.00	41.25	7	17
大粒型4 Large type 4	41.46	44.82	9	16	大粒型36 Large type 36	48.02	51.07	9	16
大粒型5 Large type 5	46.17	50.16	8	16	大粒型37 Large type 37	43.09	45.23	7	16
大粒型6 Large type 6	46.07	49.22	9	15	大粒型均值 Mean of large type	41.54	45.29	7.92	16.68
大粒型7 Large type 7	56.88	60.11	8	15	小粒型1 Small type 1	37.86	41.04	8	18
大粒型8 Large type 8	41.15	44.72	7	17	小粒型2 Small type 2	35.98	39.73	8	14
大粒型9 Large type 9	36.75	40.00	10	17	小粒型3 Small type 3	36.03	43.18	7	15
大粒型10 Large type 10	41.25	43.75	7	17	小粒型4 Small type 4	40.91	44.58	7	16
大粒型11 Large type 11	49.20	50.60	8	14	小粒型5 Small type 5	36.24	40.14	8	16
大粒型12 Large type 12	39.32	41.61	7	16	小粒型6 Small type 6	34.70	37.99	7	16
大粒型13 Large type 13	42.85	45.32	7	15	小粒型7 Small type 7	41.30	43.86	7	18
大粒型14 Large type 14	45.68	51.74	8	16	小粒型8 Small type 8	32.34	34.81	6	17
大粒型15 Large type 15	44.65	56.03	8	15	小粒型9 Small type 9	41.46	45.02	9	21
大粒型16 Large type 16	44.72	48.12	9	18	小粒型10 Small type 10	31.71	33.39	5	18
大粒型17 Large type 17	34.91	38.69	8	17	小粒型11 Small type 11	34.93	38.15	6	15
大粒型18 Large type 18	38.89	43.86	8	18	小粒型12 Small type 12	39.36	42.65	5	16
大粒型19 Large type 19	25.69	28.73	7	18	小粒型13 Small type 13	46.91	51.09	6	19
大粒型20 Large type 20	41.08	43.17	8	17	小粒型14 Small type 14	37.29	41.42	8	16
大粒型21 Large type 21	37.02	42.09	9	18	小粒型15 Small type 15	43.31	46.22	9	15
大粒型22 Large type 22	39.06	41.20	7	15	小粒型16 Small type 16	50.30	53.91	7	14
大粒型23 Large type 23	40.27	44.79	9	16	小粒型17 Small type 17	38.06	41.20	7	16
大粒型24 Large type 24	46.62	49.84	10	18	小粒型18 Small type 18	38.08	41.18	6	16
大粒型25 Large type 25	44.13	46.66	7	15	小粒型19 Small type 19	44.92	49.03	7	16
大粒型26 Large type 26	40.67	44.92	8	19	小粒型20 Small type 20	41.58	47.47	8	21
大粒型27 Large type 27	41.22	45.84	8	17	小粒型21 Small type 21	40.71	44.96	9	18
大粒型28 Large type 28	39.55	42.76	7	18	小粒型22 Small type 22	32.76	39.49	8	17
大粒型29 Large type 29	34.65	40.16	7	19	小粒型23 Small type 23	29.37	33.45	8	16
大粒型30 Large type 30	37.72	42.39	8	17	小粒型24 Small type 24	39.87	44.58	9	18
大粒型31 Large type 31	40.96	45.26	9	16	小粒型25 Small type 25	41.90	47.03	8	17
大粒型32 Large type 32	43.58	47.05	8	15	小粒型均值 Mean of small type	38.72	42.62	7.32	16.76

Table 2

Table 3

Average values of quality traits in peanut varieties"

品种 Variety	脂肪 Oil(g 100⁻¹ g⁻¹)	蛋白质 Protein(g 100⁻¹ g⁻¹)	蔗糖 Sucrose(g 100⁻¹ g⁻¹)	油酸 Oleic acid (%)	亚油酸 Linoleic acid (%)	品种 Variety	脂肪 Oil(g 100⁻¹ g⁻¹)	蛋白质 Protein(g 100⁻¹ g⁻¹)	蔗糖 Sucrose(g 100⁻¹ g⁻¹)	油酸 Oleic acid (%)	亚油酸 Linoleic acid (%)
大粒型1 Large type 1	51.19	24.50	5.01	45.80	32.80	大粒型33 Large type 33	52.64	22.80	5.75	76.00	5.98
大粒型2 Large type 2	52.49	22.60	5.35	54.20	25.00	大粒型34 Large type 34	51.70	23.40	5.93	79.20	3.27
大粒型3 Large type 3	50.90	23.40	5.10	62.50	17.60	大粒型35 Large type 35	51.11	23.80	4.93	44.80	32.90
大粒型4 Large type 4	49.33	24.20	5.03	65.00	16.10	大粒型36 Large type 36	51.68	23.40	5.93	78.60	4.40
大粒型5 Large type 5	51.38	23.20	4.85	43.50	33.90	大粒型37 Large type 37	50.27	24.40	5.48	45.40	32.40
大粒型6 Large type 6	51.85	23.60	5.07	65.00	15.90	大粒型均值 Mean of large type	51.36	23.88	5.16	56.76	22.86
大粒型7 Large type 7	49.82	25.00	5.06	66.60	14.40	小粒型1 Small type 1	52.90	25.40	4.02	41.70	35.10
大粒型8 Large type 8	52.48	23.10	5.78	63.90	17.10	小粒型2 Small type 2	51.88	25.90	4.49	42.00	35.60
大粒型9 Large type 9	53.54	24.10	4.01	47.40	31.10	小粒型3 Small type 3	50.78	26.90	4.02	41.30	35.80
大粒型10 Large type 10	51.99	24.80	4.98	42.60	34.80	小粒型4 Small type 4	50.47	24.70	5.90	75.30	7.28
大粒型11 Large type 11	51.36	26.60	5.20	61.10	19.00	小粒型5 Small type 5	49.67	26.00	4.83	48.60	31.10
大粒型12 Large type 12	51.26	25.20	5.01	44.20	33.70	小粒型6 Small type 6	50.30	25.10	5.87	78.60	4.14
大粒型13 Large type 13	50.80	24.00	5.23	53.80	26.20	小粒型7 Small type 7	50.90	24.80	5.98	78.70	3.40
大粒型14 Large type 14	51.87	23.90	4.74	49.60	29.60	小粒型8 Small type 8	53.93	23.40	4.27	44.40	32.80
大粒型15 Large type 15	50.08	23.60	4.87	49.60	29.80	小粒型9 Small type 9	49.62	24.80	5.37	77.20	5.24
大粒型16 Large type 16	50.22	23.00	5.25	40.70	38.00	小粒型10 Small type 10	52.23	24.40	5.02	79.40	3.46
大粒型17 Large type 17	51.45	23.40	5.64	77.00	5.70	小粒型11 Small type 11	52.30	23.10	4.61	48.80	29.70
大粒型18 Large type 18	51.94	23.00	5.03	44.80	32.20	小粒型12 Small type 12	53.29	25.60	4.69	79.50	3.66
大粒型19 Large type 19	53.76	22.80	4.24	39.90	36.90	小粒型13 Small type 13	51.74	26.20	5.54	80.00	3.72
大粒型20 Large type 20	51.20	24.00	4.90	46.60	30.80	小粒型14 Small type 14	51.22	27.60	4.19	44.70	32.40
大粒型21 Large type 21	50.02	23.70	5.88	79.80	2.80	小粒型15 Small type 15	48.02	26.40	5.11	39.80	40.80
大粒型22 Large type 22	50.60	22.50	4.80	43.60	34.10	小粒型16 Small type 16	48.91	26.60	5.12	54.00	25.90
大粒型23 Large type 23	47.73	22.20	6.46	79.80	4.02	小粒型17 Small type 17	50.12	24.70	5.80	79.40	3.25
大粒型24 Large type 24	49.70	23.90	5.44	46.80	30.90	小粒型18 Small type 18	50.04	25.40	5.95	76.70	5.40
大粒型25 Large type 25	49.18	24.60	6.13	57.80	22.30	小粒型19 Small type 19	51.14	25.80	4.56	46.50	33.10
大粒型26 Large type 26	51.44	24.50	4.94	78.40	4.17	小粒型20 Small type 20	51.16	25.20	5.71	78.40	3.58
大粒型27 Large type 27	52.71	24.50	5.30	76.00	5.83	小粒型21 Small type 21	50.60	27.20	4.78	41.00	35.10
大粒型28 Large type 28	52.48	24.80	4.35	47.60	30.30	小粒型22 Small type 22	50.30	27.60	5.09	75.40	5.73
大粒型29 Large type 29	54.10	24.60	4.32	56.30	22.80	小粒型23 Small type 23	49.50	27.60	5.91	76.50	3.73
大粒型30 Large type 30	51.62	23.60	4.93	49.80	29.00	小粒型24 Small type 24	53.00	22.80	4.96	63.10	16.70
大粒型31 Large type 31	52.26	23.80	4.82	52.40	26.90	小粒型25 Small type 25	50.62	24.40	4.68	41.90	34.20
大粒型32 Large type 32	52.26	25.00	5.00	43.90	33.20	小粒型均值 Mean of small type	50.99	25.50	5.06	61.32	18.84

Table 3

Table 4

Fig. 1

Fig. 2

Table 5

References 36

[1]	冯喜梅, 聂江文, 彭良斌, 臧华栋, 杨亚东, 曾昭海. 全球花生生产和贸易的时空动态变化研究. 花生学报, 2021, 50(4): 1-8.
	Feng X M, Nie J W, Peng L B, Zang H D, Yang Y D, Zeng Z H. Spatio-temporal dynamics of global peanut production and trade. J Peanut Sci, 2021, 50(4): 1-8 (in Chinese with English abstract).
[2]	禹山林. 中国花生品种及其系谱. 上海: 上海科学技术出版社, 2008. pp 5-9.
	Yu S L. Peanut Varieties and Their Pedigrees in China. Shanghai: Shanghai Scientific & Technical Publishers, 2008. pp 5-9 (in Chinese).
[3]	李文旭, 吴政卿, 雷振生, 姜桂英. 河南省主要气象因子变化及其对主要粮食作物单产的影响特征. 作物杂志, 2021, (1): 124-134.
	Li W X, Wu Z Q, Lei Z S, Jiang G Y. The characteristics of climate factors change and its effects on main grain crops yield per unit area in Henan province. Crops, 2021, (1): 124-134 (in Chinese with English abstract).
[4]	胡园春, 安广池, 杨宁, 李全景, 崔云鹏. 主要气象因子与冬小麦产量的灰色关联度分析. 农学学报, 2020, 10(2): 92-95. doi: 10.11923/j.issn.2095-4050.cjas20190700115
	Hu Y C, An G C, Yang N, Li Q J, Cui Y P. Main meteorological factors and winter wheat yield: grey correlation degree analysis. J Agric, 2020, 10(2): 92-95 (in Chinese with English abstract). doi: 10.11923/j.issn.2095-4050.cjas20190700115
[5]	尹新芳, 尹鑫军, 王鑫澳, 孙文星, 高叶敏, 敖和军. 主要气象因子对水稻产量与糙米重金属含量的影响. 作物研究, 2022, 36: 411-416.
	Yin X F, Yin X J, Wang X A, Sun W X, Gao Y M, Ao H J. Effects of main meteorological factors on rice yield and heavy metal content in brown rice. Crop Res, 2022, 36: 411-416 (in Chinese with English abstract).
[6]	刘月娥. 玉米对区域光、温、水资源变化的响应研究. 中国农业科学院博士学位论文, 北京, 2013.
	Liu Y E. The Research on Maize's Responses to the Regional Resources Change of Light, Temperature and Water. PhD Dissertation of Chinese Academy of Agricultural Sciences, Beijing, 2013. (in Chinese with English abstract).
[7]	姜骁, 许静, 潘丽娟, 陈娜, 王通, 江晓东, 殷祥贞, 杨珍, 禹山林, 迟晓元. 花生产量相关性状与气象因子多环境相关性分析. 作物学报, 2023, 49: 3110-3121. doi: 10.3724/SP.J.1006.2023.24218
	Jiang X, Xu J, Pan L J, Chen N, Wang T, Jiang X D, Yin X Z, Yang Z, Yu S L, Chi X Y. Peanut yield-related traits and meteorological factors correlation analysis in multiple environments. Acta Agron Sin, 2023, 49: 3110-3121 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2023.24218
[8]	梁煜莹, 张加羽, 姜骁, 王露欢, 张晓吉, 刘齐妹, 薛云云, 迟晓元, 白冬梅. 花生品质与气候环境的关系研究. 植物遗传资源学报, 2024, 25: 227-244. doi: 10.13430/j.cnki.jpgr.20230728001
	Liang Y Y, Zhang J Y, Jiang X, Wang L H, Zhang X J, Liu Q M, Xue Y Y, Chi X Y, Bai D M. Study on the relationship between peanut quality and climatic environments. J Plant Genet Resour, 2024, 25: 227-244 (in Chinese with English abstract). doi: 10.13430/j.cnki.jpgr.20230728001
[9]	李新华, 郭洪海, 杨丽萍, 杨萍, 万书波. 气象因子对花生品质的影响. 中国农学通报, 2010, 26(16): 90-94.
	Li X H, Guo H H, Yang L P, Yang P, Wan S B. The effect of climatic factors on peanut quality. Chin Agric Sci Bull, 2010, 26(16): 90-94 (in Chinese with English abstract).
[10]	甄志高, 王晓林, 段莹, 赵晓环. 气象条件对花生蛋白质和脂肪含量的影响. 花生学报, 2004, 33(3): 22-24.
	Zhen Z G, Wang X L, Duan Y, Zhao X H. The effect of climatic factors on protein and oil content of peanut seeds. J Peanut Sci, 2004, 33(3): 22-24 (in Chinese with English abstract).
[11]	Mortley D G, Bonsi C K, Hill W A, Morris C E. Temperature influences yield, reproductive growth, harvest index, and oil content of hydroponically grown “Georgia red” peanut plants. Hort Sci, 2004, 39: 975-978.
[12]	史可琳, 薛晓萍, 宋景义, 贾学彬. 花生品质气象条件初探. 花生科技, 1994, 23(1): 5-7.
	Shi K L, Xue X P, Song J Y, Jia X B. Preliminary study on meteorological conditions of peanut quality. Peanut Sci Technol, 1994, 23(1): 5-7 (in Chinese).
[13]	张玉松, 何柳, 张云云, 何晓莹, 刘亚俊, 刘珏, 苏世强, 陈晓艳, 陆建美, 普兴林, 等. 不同生态区气象因子对花生产量相关性状的影响. 中国油料作物学报, 2024, 46: 676-686. doi: 10.19802/j.issn.1007-9084.2024013
	Zhang Y S, He L, Zhang Y Y, He X Y, Liu Y J, Liu J, Su S Q, Chen X Y, Lu J M, Pu X L, et al. Effects of meteorological factors in different ecoregions on yield-related traits of peanut production. Chin J Oil Crop Sci, 2024, 46: 676-686 (in Chinese with English abstract).
[14]	杨小兵, 杨峻, 杨晨, 任重, 汪大林. 安徽省花生产量与气象因素的关联度分析及预测模型研究. 中国农学通报, 2020, 36(34): 100-103. doi: 10.11924/j.issn.1000-6850.casb20191100823
	Yang X B, Yang J, Yang C, Ren Z, Wang D L. Peanut yield in Anhui: correlation with meteorological factors and forecast model. Chin Agric Sci Bull, 2020, 36(34): 100-103 (in Chinese with English abstract). doi: 10.11924/j.issn.1000-6850.casb20191100823
[15]	王巍. 福山区花生单产受气象因子影响的分析. 内蒙古气象, 2020, (4): 31-33.
	Wang W. Analysis of peanut yield in Fushan district affected by meteorological factors. Meteor J Inn Mongolia, 2020, (4): 31-33 (in Chinese with English abstract).
[16]	宋虎远.河南省花生产量预报技术研究. 郑州大学硕士学位论文, 河南郑州, 2021.
	Song H Y. Research on Peanut Yield Forecast Technology in Henan Province. MS Thesis of Zhengzhou University, Zhengzhou, Henan, China, 2021 (in Chinese with English abstract).
[17]	杨鸣, 袁丹丹, 朱涛. 气象因子对新昌小京生花生产量影响分析. 农业灾害研究, 2020, 10(9): 49-50.
	Yang M, Yuan D D, Zhu T. Analysis on the influence of meteorological factors on the yield of Xinchangxiaojingsheng peanut. J Agric Catastrophol, 2020, 10(9): 49-50 (in Chinese with English abstract).
[18]	王二虎, 李树新, 孙欣, 霍继超, 李庆, 陈光华. 开封市花生产量与气象因素的关联度分析. 气象与环境科学, 2012, 35(增刊1): 51-54.
	Wang E H, Li S X, Sun X, Huo J C, Li Q, Chen G H. Correlation analysis of Kaifeng peanut production and meteorological factors. Meteor Environ Sci, 2012, 35(S1): 51-54 (in Chinese with English abstract).
[19]	李超, 吴涛涛, 张涛, 华丽. 气象因子对大悟县花生产量的影响分析. 气象与减灾研究, 2013, 36(4): 45-48.
	Li C, Wu T T, Zhang T, Hua L. Analysis of the effect of meteorological factor on peanut production in Dawu country. Meteor Disaster Reduct Res, 2013, 36(4): 45-48 (in Chinese with English abstract).
[20]	马杰, 卢山, 刘桢, 谭红姣, 肖密, 王静, 刘登望, 李林. 花生产量和生长发育进度对播期与气象要素的响应. 山东农业科学, 2014, 46(6): 54-58.
	Ma J, Lu S, Liu Z, Tan H J, Xiao M, Wang J, Liu D W, Li L. Responds of yield, growth and development of peanut to sowing date and meteorological elements. Shandong Agric Sci, 2014, 46(6): 54-58 (in Chinese with English abstract).
[21]	王昭静, 刘登望, 王建国, 徐娟, 李林. 播期对不同粒型花生品种发育进度的影响及与气象生态因子的关系. 中国农学通报, 2013, 29(36): 246-252.
	Wang Z J, Liu D W, Wang J G, Xu J, Li L. Influence of sowing dates on developmental progress of different seed-size peanut cultivars and the relationship with meteorological eco-factors. Chin Agric Sci Bull, 2013, 29(36): 246-252 (in Chinese with English abstract). doi: 10.11924/j.issn.1000-6850.2013-2262
[22]	韩宏伟, 王传堂, 符明联, 杨军军, 王志伟, 王秀贞, 孙秀山, 杨珍. 11个单粒花生脂肪酸近红外定量分析模型构建. 中国油料作物学报, 2023, 45: 407-412. doi: 10.19802/j.issn.1007-9084.2022054
	Han H W, Wang C T, Fu M L, Yang J J, Wang Z W, Wang X Z, Sun X S, Yang Z. Establishment of 11 near infrared analytical models for main fatty acids in individual single peanut kernels. Chin J Oil Crop Sci, 2023, 45: 407-412 (in Chinese with English abstract).
[23]	黄冰艳, 张新友, 苗利娟, 高伟, 韩锁义, 董文召, 汤丰收, 刘志勇. 花生ahFAD2A等位基因表达变异与种子油酸积累关系. 作物学报, 2012, 38: 1752-1759. doi: 10.3724/SP.J.1006.2012.01752
	Huang B Y, Zhang X Y, Miao L J, Gao W, Han S Y, Dong W Z, Tang F S, Liu Z Y. Allelic expression variation of ahFAD2A and its relationship with oleic acid accumulation in peanut. Acta Agron Sin, 2012, 38: 1752-1759 (in Chinese with English abstract).
[24]	王才斌, 刘云峰, 吴正锋, 郑亚萍, 万书波, 孙奎香, 孙学武, 冯昊. 山东省不同生态区花生品质差异及稳定性研究. 中国生态农业学报, 2008, 16: 1138-1142.
	Wang C B, Liu Y F, Wu Z F, Zheng Y P, Wan S B, Sun K X, Sun X W, Feng H. Diversity and stability of peanut kernel quality in different ecological regions of Shandong province. Chin J Eco- Agric, 2008, 16: 1138-1142 (in Chinese with English abstract).
[25]	Kebede B A, Getahun A. Adaptability and stability analysis of groundnut genotypes using AMMI model and GGE-biplot. J Crop Sci Biotechnol, 2017, 20: 343-349.
[26]	Wang Y, Abdul-Gafar A, Xu S W, Yu W, Liu J J. Meteorological impact on peanut yield in China. Biotechnology, 2013, 8: 1251-1257.
[27]	张智猛, 慈敦伟, 丁红, 秦斐斐, 杨吉顺, 李尚霞, 宋文武, 戴良香. 花生种子大小和形状对出苗和幼苗建成的影响. 花生学报, 2014, 43(1): 16-23.
	Zhang Z M, Ci D W, Ding H, Qin F F, Yang J S, Li S X, Song W W, Dai L X. Effects of peanut seed size and shape on seedling emergence and establishment. J Peanut Sci, 2014, 43(1): 16-23 (in Chinese with English abstract).
[28]	符方平, 戴良香, 江晨, 慈敦伟, 丁红, 宋文武, 康涛, 张智猛. 花生种子大小、形状对幼苗生长发育的影响. 种子, 2013, 32(6): 74-76.
	Fu F P, Dai L X, Jiang C, Ci D W, Ding H, Song W W, Kang T, Zhang Z M. Effects of seed traits of peanut on emergence and seedling growth. Seed, 2013, 32(6): 74-76 (in Chinese with English abstract).
[29]	姚君平, 杨新道. 光照强度对花生苗期和花针期植株生育的影响. 花生科技, 1992, 21(4): 20-22.
	Yao J P, Yang X D. Effect of light intensity on plant growth of peanut at seedling stage and flowering stage. Peanut Sci Technol, 1992, 21(4): 20-22 (in Chinese).
[30]	董露琳.施肥量对不同株型与粒型花生品种生理及产量品质的影响. 湖南农业大学硕士学位论文, 湖南长沙, 2023.
	Dong L L. Effects of Fertilizers Rate on Physiology, Yield and Quality of Peanut Cultivars with Different Plant Types and Grain Sizes. MS Thesis of Hunan Agricultural University, Changsha, Hunan, China, 2023 (in Chinese with English abstract).
[31]	刘根.钙对不同花生品种荚果与籽仁发育的影响. 山东农业大学硕士学位论文, 山东泰安, 2023.
	Liu G. Effect of Calcium on Pod and Kernel Development of Different Peanut Varieties. MS Thesis of Shandong Agricultural University, Tai'an, Shandong, China, 2023 (in Chinese with English abstract).
[32]	王婧, 李想, 王晓光, 党现什, 于海秋, 康树立, 赵新华, 蒋春姬, 刘喜波. 不同粒型花生品种氮磷钾养分积累动态研究. 沈阳农业大学学报, 2023, 54: 651-661.
	Wang J, Li X, Wang X G, Dang X S, Yu H Q, Kang S L, Zhao X H, Jiang C J, Liu X B. Study on the dynamic accumulation of nitrogen, phosphorus and potassium nutrients in peanut varieties with different grain types. J Shenyang Agric Univ, 2023, 54: 651-661 (in Chinese with English abstract).
[33]	肖萍, 唐康, 谭红娇, 曾宁波, 罗梓楠, 刘登望, 李林. 钙肥对不同粒型花生开花、下针、结果动态的影响研究. 中国油料作物学报, 2024, 46: 1303-1311. doi: 10.19802/j.issn.1007-9084.2023230
	Xiao P, Tang K, Tan H J, Zeng N B, Luo Z N, Liu D W, Li L. The effects of calcium fertilizer on the flowering, pegging, and pod development dynamics of peanut plants with different grain types. Chin J Oil Crop Sci, 2024, 46: 1303-1311 (in Chinese with English abstract). doi: 10.19802/j.issn.1007-9084.2023230
[34]	赵然, 张晓丹, 崔顺立, 侯名语, 李秀坤, 刘盈茹, 刘立峰. 不同基因型花生光合特性对开花下针期干旱胁迫的响应差异. 中国油料作物学报, 网络首发[2024-11-28],https://doi.org/10.19802/j.issn.1007-9084.2024099.
	Zhao R, Zhang X D, Cui S L, Hou M Y, Li X K, Liu Y R, Liu L F. Photosynthetic characteristics response to drought stress in different genotypes of peanut at pegging stage. Chin J Oil Crop Sci, Published online [2024-11-28], https://doi.org/10.19802/j.issn.1007-9084.2024099 (in Chinese with English abstract).
[35]	周可金, 徐志灵, 吴奇志, 许承保. 不同果型花生品种的生理生态基础研究. 花生学报, 2005, 34(1): 15-19.
	Zhou K J, Xu Z L, Wu Q Z, Xu C B. Study of discrepancy of physiology and ecology between three pod-types on peanut. J Peanut Sci, 2005, 34(1): 15-19 (in Chinese with English abstract).
[36]	于国庆, 于树涛, 于洪波, 赵立仁, 孙泓希. 东北三省花生生产和科研现状分析及建议. 农业经济, 2016, (5): 58-59.
	Yu G Q, Yu S T, Yu H B, Zhao L R, Sun H X. Analysis of the current situation of peanut production and scientific research in the three northeastern provinces and suggestions. Agric Econ, 2016, (5): 58-59 (in Chinese).

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

性状 Trait	因子 Source	自由度 DF	总方差 Sum_Sq	平均方差 Mean_Sq	F-value	P-value
荚果产量 Pod yield	G	61	577,562.0	9468.000	8.435	< 2e-16^***
	E	22	4,274,583.0	194,299.000	173.099	< 2e-16^***
	G×E	1003	1,125,843.0	1122.000
籽仁产量 Kernel yield	G	61	235,034.0	3853.000	5.908	< 2e-16^***
	E	22	2,504,867.0	113,858.000	174.588	< 2e-16^***
	G×E	1003	654,107.0	652.000
主茎高 Main stem height	G	61	30,346.0	497.000	16.260	< 2e-16^***
	E	22	103,084.0	4686.000	153.160	< 2e-16^***
	G×E	1003	30,684.0	31.000
侧枝长 Branch length	G	61	33,077.0	542.000	13.520	< 2e-16^***
	E	22	106,193.0	4827.000	120.390	< 2e-16^***
	G×E	1003	40,213.0	40.000
分枝数 Branch number	G	61	1023.0	16.770	6.529	< 2e-16^***
	E	22	106,193.0	4827.000	120.390	< 2e-16^***
	G×E	1003	2576.0	2.570
单株结果数 Pod number per plant	G	61	2511.0	41.200	2.399	3.20e-8^***
	E	22	22,654.0	1029.700	60.009	< 2e-16^***
	G×E	1003	17,211.0	17.200
脂肪含量 Oil content	G	61	1204.0	19.740	7.921	< 2e-16^***
	E	22	2217.0	100.770	40.437	< 2e-16^***
	G×E	1003	2500.0	2.490
蛋白质含量 Protein content	G	61	861.2	14.120	15.530	< 2e-16^***
	E	22	1130.7	51.400	56.540	< 2e-16^***
	G×E	1003	911.7	0.910
蔗糖含量 Sucrose content	G	61	349.2	5.724	19.790	< 2e-16^***
	E	22	408.9	18.588	64.270	< 2e-16^***
	G×E	1003	290.1	0.289
油酸含量 Oleic acid content	G	61	240,600.0	3944.000	139.810	< 2e-16^***
	E	22	7340.0	334.000	11.830	< 2e-16^***
	G×E	1003	28,295.0	28.000
亚油酸含量 Linoleic acid content	G	61	184,981.0	3032.500	146.090	< 2e-16^***
	E	22	6240.0	283.600	13.660	< 2e-16^***
	G×E	1003	20,820.0	20.800

性状 Trait	回归方程 Regression equation
荚果产量 Pod yield	Y₁=12.71-0.118X₁+0.102X₄
籽仁产量 Kernel yield	Y₂=299.775-0.102X₁-2.522X₂+0.069X₄+0.017X₅
主茎高 Main stem height	Y₃=215.739-0.036X₁-1.634X₂+0.005X₄+0.003X₅+0.021X₆-1.059X₇
侧枝长 Branch length	Y₄=187.79-0.032X₁-1.274X₂-0.587X₃+0.006X₄+0.019X₆
分枝数 Branch number	Y₅=9.31-0.002X₁+0.061X₂-0.258X₃+0.001X₅
单株结果数 Pod number per plant	Y₆=-20.767+0.328X₃+0.003X₄+0.011X₆+1.098X₇
脂肪含量 Oil content	Y₇=71.144-0.264X₂+0.144X₃+0.02X₄+0.001X₅+0.005X₆+0.157X₇
蛋白质含量 Protein content	Y₈=66.144-0.003X₁-0.33X₂+0.132X₃-0.001X₄+0.003X₅-0.001X₆-0.612X₇
蔗糖含量 Sucrose content	Y₉=-19.587+0.001X₁+0.27X₂-0.182X₃-0.001X₅-0.002X₆+0.223X₇
油酸含量 Oleic acid content	Y₁₀=73.686-0.383X₃
亚油酸含量 Linoleic acid content	Y₁₁=10.511+0.376X₃

Effects of major geographic and climatic factors on agronomic traits and quality of peanut in the main production areas of northern China

RichHTML442

PDF

Abstract

Cite this article

share this article

Figures/Tables 7

References 36

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Hu Chuan, Zhao Kai-Nan, Huang Xiu-Li, Wu Jin-Zhi, Ren Kai-Ming, Wang He-Zheng, Fu Guo-Zhan, Huang Ming, Li You-Jun. Effects of tillage methods and nitrogen rates on yield and quality of dryland wheat under one-off irrigation [J]. Acta Agronomica Sinica, 2026, 52(6): 1830-1846.
[2]	Ma Sheng-Qian, Wang Zhi-Ping, Chen Hao-Tian, Dou Shu-Xian, Zhang Yan, Deng Ai-Xing, Zhang Wei-Jian, Yuan Xiang-Yang, Song Zhen-Wei. Effects of tillage methods and nitrogen application rate on maize yield and soil aggregates in northeastern China under straw returning [J]. Acta Agronomica Sinica, 2026, 52(6): 1802-1816.
[3]	Wang Yu-Cheng, Zhang Lu, Liu A-Kang, Huang Jian-Liang, Peng Shao-Bing, Yuan Shen. Strategies and prospects for large-scale crop yield improvement based on yield gap [J]. Acta Agronomica Sinica, 2026, 52(5): 1279-1290.
[4]	Zhang Si-Si, Zhao Xiang-Hui, Zhou Yang, Yao Yun-Feng, Zhu Rong-Yu, Dong Yuan-Jie, Hu Guo-Qing, Xu Tong, Liu Zhao-Xin. Effects of plowing and green manure returning in winter fallow period on soil physicochemical properties and yield in continuously cropped peanut [J]. Acta Agronomica Sinica, 2026, 52(5): 1472-1486.
[5]	Zhang Ning-Ning, Teng Yu-Fei, Ren Na-Na, Wei Xing-Zhuo, Yan Shu-Hao, Fan Ke-Xin, Wang Yong-Hong, Chen Wen-Kang, Zhang Xing-Hua, Zhu Wan-Chao, Xu Shu-Tu, Xue Ji-Quan. Phenotypic evaluation and plasticity analysis of drought resistance in 201 maize inbred lines [J]. Acta Agronomica Sinica, 2026, 52(5): 1309-1325.
[6]	Zhang Ying-Xing, Bheel Chander Kumar, Song Yu-Zhen, Wang Yue, Cao Yue, Khound Rituraj, Santra Dipak Kumar, Cao Xiao-Ning, Wang Rui-Yun. Screening and phenotypic characterization of EMS-induced mutants with elite agronomic traits in broomcorn millet [J]. Acta Agronomica Sinica, 2026, 52(5): 1388-1400.
[7]	Zhang Zhen, Feng Lian-Jie, Shi Yu, Yu Zhen-Wen, Zhang Yong-Li. Yield formation of wheat with different ear types under water-saving supplementary irrigation conditions [J]. Acta Agronomica Sinica, 2026, 52(5): 1522-1535.
[8]	Yan An, Jiang Kun-Wei, Wang Rong-Yuan, Tian Lin, Zhang Lu, Wang Yun, Xu Jian-Long. Identification and cloning of SVN7 controlling small vascular bundle number in the rice flag leaf [J]. Acta Agronomica Sinica, 2026, 52(5): 1364-1372.
[9]	Liu Xin-Meng, Ren Hao, Zhang Ji-Bo, Zhang Ji-Wang, Zhao Bin, Ren Bai-Zhao, Liu Peng, Wang Hong-Zhang. Physiological mechanisms of methyl jasmonate (MeJA) alleviating the effects of heat stress on ear differentiation in maize [J]. Acta Agronomica Sinica, 2026, 52(5): 1561-1572.
[10]	Wang Zhuang-Zhuang, Wu Zi-Jun, Zhang Yong-Xin, Zhang Xin-Yuan, Yuan Li-Xue, Chen Ru-Xue, Liu Shi-Ju, Duan Jian-Zhao, Feng Wei, Wang Tong-Chao, Wang Yong-Hua. Optimized water-nitrogen synergy enhances winter wheat yield and nitrogen use efficiency in clay-loam fluvo-aquic soils of southeastern Henan, China [J]. Acta Agronomica Sinica, 2026, 52(5): 1501-1521.
[11]	Zhang Hong-Rong, Wang Fei-Er, Li Pan, Qiu Hai-Long, Zhu Jing, Zhao Lian-Hao, Nan Yun-You, He Wei, Fan Zhi-Long, Hu Fa-Long, Chai Qiang, Yin Wen. Photosynthetic characteristics of 20% reduced irrigation combined with 25% organic substitution for chemical fertilizer in increasing silage maize yield [J]. Acta Agronomica Sinica, 2026, 52(5): 1487-1500.
[12]	Zhao Jia-Xue, Zhou Long-Hao, Guo Qi-Yuan, Shang Lun-Xiao, Wang Han, Liu Zhi-Tao, Chen Xi, Zhang Xiao-Pei, Song Xian-Liang, Ahmedov Miraziz Baltaevich, Mao Li-Li. Long-term stubble return and subsoiling enhance cotton yields in coastal saline-alkali soils by improving soil conditions and photosynthetic characteristics [J]. Acta Agronomica Sinica, 2026, 52(5): 1548-1560.
[13]	Guo Xing-Yu, Hu Dan, Lin Su-Qi, Wang Meng-Kai, Tan Wen-Feng, Huang Chuan-Qin. Biochar combined with chemical fertilizer increases maize yield and soil ecosystem multifunctionality in an intercropped maize-soybean [J]. Acta Agronomica Sinica, 2026, 52(5): 1536-1547.
[14]	Cai Hong-Wei, Yu Ai-Zhong, Jiang Ke-Qiang, Wang Peng-Fei, Wang Yu-Long, Huo Jian-Zhe, Pang Xiao-Neng, Yin Bo, Shang Yong-Pan. Key mechanisms underlying the enhancement of sweet maize yield through partial substitution of chemical fertilizers with organic manure in arid irrigation districts [J]. Acta Agronomica Sinica, 2026, 52(4): 1166-1180.
[15]	Cui Xue-Mei, Liu Yan-Di, Liu Jing-Hui, Mi Jun-Zhen, Wu Jun-Ying, Zhao Bao-Ping. Study on the relationship between physiological characteristics of superior and inferior grains with yield in different oat genotypes [J]. Acta Agronomica Sinica, 2026, 52(4): 1220-1235.