花生籽仁蔗糖含量近红外模型构建及在高糖品种培育中的应用

doi:10.3724/SP.J.1006.2021.04106

Abstract

Abstract:

Sugar content is an important factor affecting the flavor and processing characteristics of peanut (Arachis hypogaea L.) kernel and the sucrose content accounts for more than 90% of the total sugar content in peanut kernel. High-efficiency detection approach for sucrose content is crucial in developing high sucrose peanut varieties. In this study, 185 peanut genotypes with diversified sucrose contents were scanned in wave length of 1100-2500 nm for constructing a near-infrared spectrum of naturally dried seeds. The sucrose contents were determined by high performance liquid chromatography (HPLC) combined with standard curve method. A near-infrared calibration model of peanut seed sucrose content was established by partial least square method (PLS). For sucrose content, the coefficient of determinations (R²) was 0.962 with mean square deviation of 0.383. The coefficient of correlation between the predicted values and chemically tested value were 0.947 in 20 external samples, indicating that the model could predict sucrose content of peanut kernel. Six new sweet peanut lines with sucrose content over 7%, oleic acid over 78%, oil content less than 48% and desirable agronomic characters were selected among the hybrid progenies of “Jihua 02-1-4 × Zhonghua 26”.

Key words: peanut, sucrose content, near infrared spectroscopy (NIRS) model, high sucrose content, varieties

LEI Yong, WANG Zhi-Hui, HUAI Dong-Xin, GAO Hua-Yuan, YAN Li-Ying, LI Jian-Guo, LI Wei-Tao, CHEN Yu-Ning, KANG Yan-Ping, LIU Hai-Long, WANG Xin, XUE Xiao-Meng, JIANG Hui-Fang, LIAO Bo-Shou. Development and application of a near infrared spectroscopy model for predicting high sucrose content of peanut seed[J].Acta Agronomica Sinica, 2021, 47(2): 332-341.

Figures/Tables 9

Table 1

Peanut accessions used for developing NIR model"

样品编号 Sample ID	品种(系) Variety (line)	种植地点 Location	样品编号 Sample ID	品种(系) Variety (line)	种植地点 Location
S001	A1435-3	湖北武汉 Wuhan, Hubei	S104	A1516-1	湖北武汉 Wuhan, Hubei
S002	A1435-4	湖北武汉 Wuhan, Hubei	S105	A1516-2	湖北武汉 Wuhan, Hubei
S003	A1442-1	湖北武汉 Wuhan, Hubei	S106	A1518-1	湖北武汉 Wuhan, Hubei
S004	A1444-1	湖北武汉 Wuhan, Hubei	S107	A1518-2	湖北武汉 Wuhan, Hubei
S005	A1444-2	湖北武汉 Wuhan, Hubei	S108	A1520-1	湖北武汉 Wuhan, Hubei
S006	A1444-4	湖北武汉 Wuhan, Hubei	S109	A1520-2	湖北武汉 Wuhan, Hubei
S007	A1444-5	湖北武汉 Wuhan, Hubei	S110	A1529-1	湖北武汉 Wuhan, Hubei
S008	A1444-6	湖北武汉 Wuhan, Hubei	S111	A1529-2	湖北武汉 Wuhan, Hubei
S009	A1447-1	湖北武汉 Wuhan, Hubei	S112	A1532	湖北武汉 Wuhan, Hubei
S010	A1447-2	湖北武汉 Wuhan, Hubei	S113	A1538	湖北武汉 Wuhan, Hubei
S011	A1447-3	湖北武汉 Wuhan, Hubei	S114	A1541	湖北武汉 Wuhan, Hubei
S012	A1447-4	湖北武汉 Wuhan, Hubei	S115	A1543-1	湖北武汉 Wuhan, Hubei
S013	A1447-5	湖北武汉 Wuhan, Hubei	S116	A1543-2	湖北武汉 Wuhan, Hubei
样品编号 Sample ID	品种(系) Variety (line)	种植地点 Location	样品编号 Sample ID	品种(系) Variety (line)	种植地点 Location
S014	A1447-7	湖北武汉 Wuhan, Hubei	S117	A1547-1	湖北武汉 Wuhan, Hubei
S015	A1449-1	湖北武汉 Wuhan, Hubei	S118	A1547-2	湖北武汉 Wuhan, Hubei
S016	A1449-2	湖北武汉 Wuhan, Hubei	S119	A1547-3	湖北武汉 Wuhan, Hubei
S017	A1449-3	湖北武汉 Wuhan, Hubei	S120	A1547-4	湖北武汉 Wuhan, Hubei
S018	A1449-4	湖北武汉 Wuhan, Hubei	S121	A1547-5	湖北武汉 Wuhan, Hubei
S019	A1449-5	湖北武汉 Wuhan, Hubei	S122	花育23 Huayu 23	湖北武汉 Wuhan, Hubei
S020	A1449-6	湖北武汉 Wuhan, Hubei	S123	远杂9102 Yuanza 9102	湖北武汉 Wuhan, Hubei
S021	A1449-7	湖北武汉 Wuhan, Hubei	S124	锦花15 Jinhua 15	湖北武汉 Wuhan, Hubei
S022	A1449-8	湖北武汉 Wuhan, Hubei	S125	贵州红 Guizhouhong	湖北武汉 Wuhan, Hubei
S023	A1449-10	湖北武汉 Wuhan, Hubei	S126	扶余四粒红 Fuyusilihong	湖北武汉 Wuhan, Hubei
S024	A1449-11	湖北武汉 Wuhan, Hubei	S127	花育16 Huayu 16	湖北武汉 Wuhan, Hubei
S025	A1449-12	湖北武汉 Wuhan, Hubei	S128	云花3号 Yunhua 3	湖北武汉 Wuhan, Hubei
S026	A1449-13	湖北武汉 Wuhan, Hubei	S129	山东仔 Shandongzai	湖北武汉 Wuhan, Hubei
S027	A1449-14	湖北武汉 Wuhan, Hubei	S130	麻阳小子 Mayangxiaozi	湖北武汉 Wuhan, Hubei
S028	A1454-1	湖北武汉 Wuhan, Hubei	S131	扶余四粒红 Fuyusiliong	湖北武汉 Wuhan, Hubei
S029	A1454-2	湖北武汉 Wuhan, Hubei	S132	青花505 Qinhua 505	湖北武汉 Wuhan, Hubei
S030	A1454-3	湖北武汉 Wuhan, Hubei	S133	赣花7号 Ganhua 7	湖北武汉 Wuhan, Hubei
S031	A1454-4	湖北武汉 Wuhan, Hubei	S134	红豆花生 Hongdouhuasheng	湖北武汉 Wuhan, Hubei
S032	A1454-5	湖北武汉 Wuhan, Hubei	S135	团风小红粒 Tuanfengxiaoli	湖北武汉 Wuhan, Hubei
S033	A1454-6	湖北武汉 Wuhan, Hubei	S136	沿河本地种 Yanhebendizhong	湖北武汉 Wuhan, Hubei
S034	A1458-1	湖北武汉 Wuhan, Hubei	S137	贵州红花生 Guizhouhonghuasheng	湖北武汉 Wuhan, Hubei
S035	A1458-3	湖北武汉 Wuhan, Hubei	S138	贵州红皮 Guizhouhongpi	湖北武汉 Wuhan, Hubei
S036	A1458-4	湖北武汉 Wuhan, Hubei	S139	红花生 Honghuasheng	湖北武汉 Wuhan, Hubei
S037	A1463	湖北武汉 Wuhan, Hubei	S140	14-511855	湖北武汉 Wuhan, Hubei
S038	A1464-1	湖北武汉 Wuhan, Hubei	S141	皖花2号 Wanhua 2	湖北武汉 Wuhan, Hubei
S039	A1464-2	湖北武汉 Wuhan, Hubei	S142	日照瓜子 Rizhaoguazi	湖北武汉 Wuhan, Hubei
S040	A1464-3	湖北武汉 Wuhan, Hubei	S143	天府3号 Tianfu 3	湖北武汉 Wuhan, Hubei
S041	A1464-4	湖北武汉 Wuhan, Hubei	S144	天府22 Tianfu 22	湖北武汉 Wuhan, Hubei
S042	A1464-5	湖北武汉 Wuhan, Hubei	S145	开封水果 Kaifengshuiguo	湖北武汉 Wuhan, Hubei
S043	A1464-6	湖北武汉 Wuhan, Hubei	S146	冀花10号 Jihua 10	湖北武汉 Wuhan, Hubei
S044	A1464-7	湖北武汉 Wuhan, Hubei	S147	河北水果 Hebeishuiguo	湖北武汉 Wuhan, Hubei
S045	A1467-1	湖北武汉 Wuhan, Hubei	S148	红仁花生 Hongrenhuasheng	湖北武汉 Wuhan, Hubei
S046	A1467-2	湖北武汉 Wuhan, Hubei	S149	四粒红 Silihong	湖北武汉 Wuhan, Hubei
S047	A1467-3	湖北武汉 Wuhan, Hubei	S150	杜皮红 Dupihong	湖北武汉 Wuhan, Hubei
S048	A1467-4	湖北武汉 Wuhan, Hubei	S151	钟山红豆 Zhongshanhongdou	湖北武汉 Wuhan, Hubei
S049	A1467-5	湖北武汉 Wuhan, Hubei	S152	吉花18 Jihua 18	湖北武汉 Wuhan, Hubei
S050	A1467-6	湖北武汉 Wuhan, Hubei	S153	吉花19 Jihua 19	湖北武汉 Wuhan, Hubei
S051	A1471-1	湖北武汉 Wuhan, Hubei	S154	吉花20 Jihua 20	湖北武汉 Wuhan, Hubei
S052	A1471-2	湖北武汉 Wuhan, Hubei	S155	吉花23 Jihua 23	湖北武汉 Wuhan, Hubei
S053	A1471-3	湖北武汉 Wuhan, Hubei	S156	吉花24 Jihua 24	湖北武汉 Wuhan, Hubei
S054	A1471-4	湖北武汉 Wuhan, Hubei	S157	阜花25 Fuhua 25	湖北武汉 Wuhan, Hubei
S055	A1473-1	湖北武汉 Wuhan, Hubei	S158	阜花26 Fuhua 26	湖北武汉 Wuhan, Hubei
S056	A1473-2	湖北武汉 Wuhan, Hubei	S159	阜花30 Fuhua 30	湖北武汉 Wuhan, Hubei
S057	A1473-3	湖北武汉 Wuhan, Hubei	S160	花育23 Huayu 23	安徽合肥 Hefei, Anhui
S058	A1473-4	湖北武汉 Wuhan, Hubei	S161	四粒红 Silihong	河北石家庄 Shijiazhuang, Hebei
样品编号 Sample ID	品种(系) Variety (line)	种植地点 Location	样品编号 Sample ID	品种(系) Variety (line)	种植地点 Location
S059	A1473-5	湖北武汉 Wuhan, Hubei	S162	冀113 Ji 113	河北石家庄 Shijiazhuang, Hebei
S060	A1473-6	湖北武汉 Wuhan, Hubei	S163	远杂9102 Yuanza 9102	河北石家庄 Shijiazhuang, Hebei
S061	A1473-7	湖北武汉 Wuhan, Hubei	S164	冀11 Ji 11	河北石家庄 Shijiazhuang, Hebei
S062	A1473-8	湖北武汉 Wuhan, Hubei	S165	冀花18 Jihua 18	河北石家庄 Shijiazhuang, Hebei
S063	A1476	湖北武汉 Wuhan, Hubei	S166	冀甜1号 Jitian 1	河北石家庄 Shijiazhuang, Hebei
S064	A1478-1	湖北武汉 Wuhan, Hubei	S167	中花16 Zhonghua 16	四川成都 Chengdu, Sichuan
S065	A1480-1	湖北武汉 Wuhan, Hubei	S168	蜀花3号 Shuhua 3	四川成都 Chengdu, Sichuan
S066	A1480-2	湖北武汉 Wuhan, Hubei	S169	天府11 Tianfu 11	四川成都 Chengdu, Sichuan
S067	A1480-3	湖北武汉 Wuhan, Hubei	S170	花育23 Huayu 23	四川成都 Chengdu, Sichuan
S068	A1480-4	湖北武汉 Wuhan, Hubei	S171	远杂9102 Yuanza 9102	四川成都 Chengdu, Sichuan
S069	A1483-1	湖北武汉 Wuhan, Hubei	S172	中花6号 Zhonghua 16	四川成都 Chengdu, Sichuan
S070	A1483-2	湖北武汉 Wuhan, Hubei	S173	四粒红 Silihong	四川成都 Chengdu, Sichuan
S071	A1483-3	湖北武汉 Wuhan, Hubei	S174	中花24 Zhonghua 24	四川成都 Chengdu, Sichuan
S072	A1485-1	湖北武汉 Wuhan, Hubei	S175	中花21 Zhonghua 21	四川成都 Chengdu, Sichuan
S073	A1485-2	湖北武汉 Wuhan, Hubei	S176	罗汉果 Luohanguo	四川成都 Chengdu, Sichuan
S074	A1485-3	湖北武汉 Wuhan, Hubei	S177	中花21 Zhonghua 21	安徽合肥 Hefei, Anhui
S075	A1485-4	湖北武汉 Wuhan, Hubei	S178	罗汉果 Luohanguo	安徽合肥 Hefei, Anhui
S076	A1488	湖北武汉 Wuhan, Hubei	S179	中花215 Zhonghua 215	安徽合肥 Hefei, Anhui
S077	A1490-1	湖北武汉 Wuhan, Hubei	S180	中花16 Zhonghua 16	安徽合肥 Hefei, Anhui
S078	A1490-2	湖北武汉 Wuhan, Hubei	S181	四粒红 Silihong	安徽合肥 Hefei, Anhui
S079	A1493-1	湖北武汉 Wuhan, Hubei	S182	中花21 Zhonghua 21	河北石家庄 Shijiazhuang, Hebei
S080	A1493-2	湖北武汉 Wuhan, Hubei	S183	罗汉果 Luohanguo	河北石家庄 Shijiazhuang, Hebei
S081	A1495-1	湖北武汉 Wuhan, Hubei	S184	中花16 Zhonghua 16	河北石家庄 Shijiazhuang, Hebei
S082	A1495-2	湖北武汉 Wuhan, Hubei	S185	冀花16 Jihua 16	河北石家庄 Shijiazhuang, Hebei
S083	A1497	湖北武汉 Wuhan, Hubei	ST01	中花16 Zhonghua 16	湖北武汉 Wuhan, Hubei
S084	A1504-1	湖北武汉 Wuhan, Hubei	ST02	中花21 Zhonghua 21	湖北武汉 Wuhan, Hubei
S085	A1504-2	湖北武汉 Wuhan, Hubei	ST03	A1458-2	湖北武汉 Wuhan, Hubei
S086	A1504-3	湖北武汉 Wuhan, Hubei	ST04	宛花2号 Wanhua 2	湖北武汉 Wuhan, Hubei
S087	A1504-4	湖北武汉 Wuhan, Hubei	ST05	中花15 Zhonghua 15	湖北武汉 Wuhan, Hubei
S088	A1504-5	湖北武汉 Wuhan, Hubei	ST06	中花12 Zhonghua 12	湖北武汉 Wuhan, Hubei
S089	A1504-6	湖北武汉 Wuhan, Hubei	ST07	19A1385	湖北武汉 Wuhan, Hubei
S090	A1504-7	湖北武汉 Wuhan, Hubei	ST08	皖花9号 Wanhua 9	安徽合肥 Hefei, Anhui
S091	A1507-1	湖北武汉 Wuhan, Hubei	ST09	徐花甜29 Xuhuatian 29	江苏徐州 Xuzhou, Jiangsu
S092	A1507-2	湖北武汉 Wuhan, Hubei	ST10	中花9号 Zhonghua 9	湖北武汉 Wuhan, Hubei
S093	A1507-4	湖北武汉 Wuhan, Hubei	ST11	远杂9102 Yuanza 9102	江苏南京 Nanjing, Jiangsu
S094	A1507-5	湖北武汉 Wuhan, Hubei	ST12	宁泰9922 Ningtai 9922	江苏南京 Nanjing, Jiangsu
S095	A1510-1	湖北武汉 Wuhan, Hubei	ST13	A1447-6	湖北武汉 Wuhan, Hubei
S096	A1510-2	湖北武汉 Wuhan, Hubei	ST14	苏花0537 Suhua 0537	江苏南京 Nanjing, Jiangsu
S097	A1513-1	湖北武汉 Wuhan, Hubei	ST15	大四粒红 Dasilihong	湖北武汉 Wuhan, Hubei
S098	A1513-2	湖北武汉 Wuhan, Hubei	ST16	冀花16 Jihua 16	湖北武汉 Wuhan, Hubei
S099	A1513-3	湖北武汉 Wuhan, Hubei	ST17	苏花1713 Suhua 1713	江苏南京 Nanjing, Jiangsu
S100	A1513-4	湖北武汉 Wuhan, Hubei	ST18	冀花11 Jihua 11	湖北武汉 Wuhan, Hubei
S101	A1513-5	湖北武汉 Wuhan, Hubei	ST19	A1478-2	湖北武汉 Wuhan, Hubei
S102	A1513-6	湖北武汉 Wuhan, Hubei	ST20	徐花甜30 Xuhuatian 30	江苏徐州 Xuzhou, Jiangsu
S103	A1513-7	湖北武汉 Wuhan, Hubei

Table 1

Fig. 1

Table 2

Chemical values of sucrose content tested by HPLC"

样品编号 Sample ID	蔗糖含量 Sucrose content (%)	样品编号 Sample ID	蔗糖含量 Sucrose content (%)	样品编号 Sample ID	蔗糖含量 Sucrose content (%)	样品编号 Sample ID	蔗糖含量 Sucrose content (%)	样品编号 Sample ID	蔗糖含量 Sucrose content (%)
S001	6.43	S038	7.22	S075	5.82	S112	5.50	S149	2.47
S002	7.66	S039	7.02	S076	6.25	S113	6.50	S150	1.68
S003	5.46	S040	6.91	S077	5.61	S114	3.95	S151	2.07
S004	6.48	S041	6.86	S078	6.35	S115	5.77	S152	2.45
S005	5.93	S042	6.66	S079	5.68	S116	5.77	S153	1.75
S006	5.36	S043	6.58	S080	5.46	S117	4.77	S154	1.33
S007	6.17	S044	6.43	S081	6.12	S118	5.68	S155	2.10
S008	5.38	S045	6.26	S082	6.33	S119	6.53	S156	1.71
S009	5.05	S046	6.04	S083	6.47	S120	5.15	S157	1.68
S010	6.51	S047	5.97	S084	5.59	S121	5.70	S158	1.70
S011	6.67	S048	6.42	S085	5.45	S122	2.38	S159	2.01
S012	6.77	S049	8.48	S086	5.74	S123	1.87	S160	2.12
S013	8.01	S050	6.22	S087	6.58	S124	1.68	S161	2.80
S014	6.86	S051	6.06	S088	6.16	S125	2.13	S162	2.05
S015	5.85	S052	5.86	S089	6.45	S126	2.16	S163	2.72
S016	5.03	S053	5.90	S090	5.68	S127	1.65	S164	4.00
S017	5.44	S054	6.20	S091	5.83	S128	2.09	S165	3.52
S018	5.94	S055	6.00	S092	6.09	S129	1.27	S166	8.39
S019	6.20	S056	6.24	S093	7.48	S130	1.29	S167	2.67
S020	6.31	S057	6.58	S094	7.55	S131	1.65	S168	2.99
S021	4.94	S058	5.44	S095	6.56	S132	1.56	S169	3.04
S022	5.23	S059	5.30	S096	7.32	S133	2.27	S170	3.00
S023	6.49	S060	5.41	S097	6.34	S134	1.61	S171	3.31
S024	5.24	S061	5.31	S098	6.16	S135	1.34	S172	2.80
S025	5.83	S062	5.33	S099	6.39	S136	1.87	S173	3.12
S026	4.93	S063	6.34	S100	6.42	S137	1.26	S174	2.95
S027	5.53	S064	5.42	S101	6.19	S138	1.02	S175	3.57
S028	6.20	S065	6.49	S102	5.74	S139	1.20	S176	2.64
S029	5.07	S066	5.93	S103	5.28	S140	2.32	S177	2.21
S030	7.22	S067	6.19	S104	5.36	S141	1.56	S178	3.13
S031	7.36	S068	6.67	S105	5.71	S142	2.36	S179	3.96
S032	5.73	S069	7.24	S106	5.42	S143	2.54	S180	2.38
S033	5.85	S070	6.59	S107	5.91	S144	1.36	S181	2.97
S034	8.06	S071	6.56	S108	5.89	S145	1.52	S182	3.50
S035	6.45	S072	5.28	S109	6.36	S146	2.22	S183	2.89
S036	5.61	S073	7.44	S110	4.91	S147	3.24	S184	2.75
S037	5.60	S074	6.41	S111	5.22	S148	2.50	S185	3.17

Table 2

Fig. 2

Fig. 3

Fig. 4

Table 3

Fig. 5

Table 4

References 22

[1]	廖伯寿, 殷艳, 马霓. 中国油料作物产业发展回顾与展望. 农学学报, 2018,8(1):107-112.
	Liao B S, Yin Y, Ma N. Review and future prospects of oil crops industry development in China. J Agric, 2018,8(1):107-112 (in Chinese with English abstract).
[2]	房元瑾, 孙子淇, 苗利娟, 齐飞艳, 黄冰艳, 郑峥, 董文召, 汤丰收, 张新友. 花生种仁外观和营养品质特征及食用型花生育种利用分析. 植物遗传资源学报, 2018,19:875-886.
	Fang Y J, Sun Z Q, Miao L J, Qi F Y, Huang B Y, Zheng Z, Dong W Z, Tang F S, Zhang X Y. Characterization of kernel appearance and nutritional quality in peanut accessions and its application for food-use peanut breeding. J Plant Genet Resour, 2018,19:875-886 (in Chinese with English abstract).
[3]	Pattee H E, Isleib T G, Giesbrecht F G. Variation in intensity of sweet and bitter sensory attributes across peanut genotypes. Peanut Sci, 1998,25:63-69. doi: 10.3146/i0095-3679-25-2-2
[4]	Pattee H, Isleib T, Giesbrecht F, McFeeters R. Investigations into genotypic variations of peanut carbohydrates. J Agric Food Chem, 2000,48:750-756. doi: 10.1021/jf9910739 pmid: 10725144
[5]	Pattee H E, Isleib T G, Giesbrecht F G, McFeeters R F. Relationships of sweet, bitter, and roasted peanut sensory attributes with carbohydrate components in peanuts. J Agric Food Chem, 2000,48:757-763. doi: 10.1021/jf9910741 pmid: 10725145
[6]	Isleib T, Pattee H, Giesbrecht F. Oil, sugar, and starch characteristics in peanut breeding lines selected for low and high oil content and their combining ability. J Agric Food Chem, 2004,52:3165-3168. doi: 10.1021/jf035465y pmid: 15137870
[7]	Bishi S K, Kumar L, Dagla M C, Mahatma M K, Rathnakumar A L, Lalwani H B. Characterization of Spanish peanut germplasm (Arachis hypogaea L.) for sugar profiling and oil quality. Ind Crops Prod, 2013,51:46-50. doi: 10.1016/j.indcrop.2013.08.050
[8]	Bishi S K, Lokesh K, Mahatma M K, Khatediya N, Chauhan S M, Misra J B. Quality traits of Indian peanut cultivars and their utility as nutritional and functional food. Food Chem, 2015,67:107-114.
[9]	王铎, 张力, 范素杰, 韩笑, 吴晗, 王丕武, 姚丹, 张君. 大豆主要脂肪酸含量近红外模型的建立. 大豆科学, 2017,36:295-299.
	Wang D, Zhang L, Fan S J, Han X, Wu H, Wang P W, Yao D, Zhang J. Establishment of NIRS model for the main fatty acids in soybean. Soybean Sci, 2017,36:295-299 (in Chinese with English abstract).
[10]	康月琼, 郝风, 柴勇, 杨俊英, 黄永东, 熊英, 褚能明, 余官平. 油菜品质近红外检测模型建立的研究. 中国农学通报, 2011,27(5):144-148.
	Kang Y Q, Hao F, Cai Y, Yang J Y, Huang Y D, Xiong Y, Chu N M, Yu G P. Study on construction of determination model of rapeseed quality with near-infrared spectroscopy. Chin Agric Sci Bull, 2011,27(5):144-148 (in Chinese with English abstract).
[11]	刘盼, 张艳欣, 黎冬华, 王林海, 高媛, 周瑢, 张秀荣, 魏鑫. 基于近红外模型的芝麻核心种质油脂和蛋白质含量变异分析. 中国油料作物学报, 2016,38:722-729.
	Liu P, Zhang Y X, Li D H, Wang L H, Gao Y, Zhou R, Zhang X R, Wei X. Oil and protein contents analysis of sesame core collections based on near infrared reflectance spectroscopy model. Chin J Oil Crop Sci, 2016,38:722-729 (in Chinese with English abstract).
[12]	Misra J B, Mathur R S, Bhatt D M. Near-infrared transmittance spectroscopy: a potential tool for non-destructive determination of oil content in groundnuts. J Sci Food Agric, 2000,80:237-240. doi: 10.1002/(ISSN)1097-0010
[13]	曲艺伟, 张鹤, 韩笑, 李雪莹, 王传堂, 王丕武, 姚丹, 张君. 花生脂肪酸近红外模型的建立. 分子植物育种, 2019,17:568-578.
	Qu Y W, Zhang H, Han X, Li X Y, Wang C T, Wang P W, Yao D, Zhang J. Establishment of near-infrared model of peanut fatty acids. Mol Plant Breed, 2019,17:568-578 (in Chinese with English abstract).
[14]	Fox G, Cruickshank A. Near infrared reflectance as a rapid and inexpensive surrogate measure for fatty acid composition and oil content of peanuts (Arachis hypogaea L.). J Near Infrar Spec, 2005,13:287. doi: 10.1255/jnirs.559
[15]	Tillman B L, Gorbet D W, Person G. Predicting oleic and linoleic acid content of single peanut seeds using near-infrared reflectance spectroscopy. Crop Sci, 2006,46:2121-2126. doi: 10.2135/cropsci2006.01.0031
[16]	王秀贞, 唐月异, 张建成, 崔凤高, 陈殿绪, 迟玉成, 王传堂. 近红外技术分析化学诱变对花生脂肪、蛋白质和蔗糖含量的影响. 花生学报, 2009,38(4):5-8.
	Wang X Z, Tang Y Y, Zhang J C, Cui F G, Chen D X, Chi Y C, Wang C T. Analyzing the effect of chemical treatment on oil, protein and sucrose content of peanut with NIRS. J Peanut Sci, 2009,38(4):5-8 (in Chinese with English abstract).
[17]	Wang C T, Tang Y Y, Wang X Z, Chen D X, Yu S L. Evaluation of groundnut genotypes from China for quality traits. J Agric Res, 2011,12:1-5. doi: 10.1071/AR9610001
[18]	张建成, 王传堂, 王秀贞, 唐月异, 张树伟, 李贵杰. 花生自然风干种子油酸、亚油酸和棕榈酸含量的近红外分析模型构建. 中国农学通报, 2011,27(3):90-93.
	Zhang J C, Wang C T, Wang X Z, Tang Y Y, Zhang S W, Li G J. NIRS calibration models predictive of oleic, linoleic and palmitic acid content in sun-dried bulk peanut seed Samples. Chin Agric Sci Bull, 2011,27(3):90-93 (in Chinese with English abstract).
[19]	李建国, 薛晓梦, 张照华, 王志慧, 晏立英, 陈玉宁, 万丽云, 康彦平, 淮东欣, 姜慧芳, 雷永, 廖伯寿. 单粒花生主要脂肪酸含量近红外预测模型的建立及其应用. 作物学报, 2019,45:1891-1898. doi: 10.3724/SP.J.1006.2019.94016
	Establishment and applicant of near-infrared reflectance spectroscopy models for predicting main fatty acid contents of single seed in peanut. Acta Agron Sin, 2019,45:1891-1898 (in Chinese with English abstract).
[20]	秦利, 刘华, 杜培, 董文召, 黄冰艳, 韩锁义, 张忠信, 齐飞艳, 张新友. 基于近红外光谱法的花生种仁中蔗糖含量的测定. 中国油料作物学报, 2016,38:666-671. doi: 10.7505/j.issn.1007-9084.2016.05.018
	Qin L, Liu H, Du P, Dong W Z, Huang B Y, Han S Y, Zhang Z X, Qi F Y, Zhang X Y. Determination of sucrose content in peanut seed kernel based on near infrared spectroscopy. Chin J Oil Crop Sci, 2016,38:666-671 (in Chinese with English abstract).
[21]	唐月异, 王秀贞, 刘婷, 吴琪, 孙全喜, 王志伟, 张欣, 王传堂, 邵俊飞. 花生自然风干种子蔗糖含量近红外定量分析模型构建. 山东农业科学, 2018,50(6):159-162.
	Tang Y Y, Wang X Z, Liu T, Wu Q, Sun Q X, Wang Z W, Zhang X, Wang C T, Shao J F. A near infrared spectroscopy model for predicting sucrose content of sun-dried peanut seeds. Shandong Agric Sci, 2018,50(6):159-162 (in Chinese with English abstract).
[22]	中华人民共和国卫生和计划生育委员会. GB 5009.8-2016. 食品安全国家标准——食品中果糖、葡萄糖、蔗糖、麦芽糖、乳糖的测定. 北京: 中国标准出版社, 2016. pp 1-16.
	National Health and Family Planning Commission of People’s Republic of China. GB 5009. 8-2016. National Standards for Food Safety Determination of Fructose, Glucose, Sucrose, Maltose and Lactose Content in Food. Beijing: Standards Press of China, 2016. pp 1-16.

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样品编号 Sample ID	化学值 Chemical value	预测值 Prediction value	偏差 Deviation	样品编号 Sample ID	化学值 Chemical value	预测值 Prediction value	偏差 Deviation
ST01	0.780	1.263	0.483	ST11	2.220	2.563	0.343
ST02	0.818	1.256	0.438	ST12	2.320	2.810	0.490
ST03	9.030	7.590	-1.440	ST13	6.520	6.152	-0.368
ST04	0.940	1.174	0.234	ST14	2.570	3.290	0.720
ST05	1.021	1.234	0.213	ST15	2.910	2.696	-0.214
ST06	1.078	0.716	-0.362	ST16	3.020	3.730	0.710
ST07	1.119	1.164	0.045	ST17	3.370	3.213	-0.157
ST08	1.246	0.927	-0.320	ST18	3.540	2.982	-0.558
ST09	4.773	5.268	0.495	ST19	4.045	4.518	0.473
ST10	1.851	2.246	0.395	ST20	5.206	4.706	-0.500

品系名称 Lines name	蔗糖含量 Sucrose content (%)	含油量 Oil content (%)	油酸 Oleate content (%)	百果重 100-pod weight (g)	百仁重 100-seed weight (g)	出仁率 Shelling percentage (%)	荚果长 Pod length (cm)	籽仁长 Seed length (cm)
SYT5-1	8.45	46.8	79.6	212	67	76.4	5.1	1.6
SYT7-1	7.63	45.3	80.2	204	56	76.6	4.6	1.5
SYT3-1	7.12	44.6	78.6	162	76	70.3	3.9	1.8
SYT3-2	8.02	47.8	81.5	176	80	74.9	3.7	1.8
SYT4-1	7.88	45.3	79.8	159	67	76.7	3.0	1.5
SYT4-2	9.07	42.2	81.1	168	80	78.6	3.2	1.5

Development and application of a near infrared spectroscopy model for predicting high sucrose content of peanut seed

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