光谱学与光谱分析 |
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Rapid Selection of White Clover Germplasms’ Crude Protein Traits by SPAD and Fourier Transform Near-Infrared Reflectance Spectroscopy |
ZHANG Xian, YAN Rong, CAO Wen-juan, SHU Bin, ZHANG Ying-jun* |
College of Animal Science and Technology, China Agricultural University, Beijing 100193, China |
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Abstract White clover is one of the most important forages in the world, with high nutritive value and crude protein content. Crude protein traits of white clover germplasms was selected using SPAD and near infrared reflectance spectroscopy. The SPAD value was measured by Chlorophyll Meter SPAD-502, and was used to evaluate the crude protein of white clover. In the vegetative period, there was a positive relationship between SPAD value and foliar protein content (y=0.422x+4.984,R2=0.737), but in the flowering period, there was a negative relationship between the two indexes (y=-0.345x+37.50,R2=0.711). Crude protein content of white clover germplasms was predicted using near infrared reflectance spectroscopy with PLS regression and the model was validated by cross validation and external validation. The results showed that the correlation coefficient of cross validation, the RMSECV, and the correlation coefficient of external validation are 0.904, 0.988%, and 0.987, respectively. NIRS model of white clover crude protein content has good accuracy and precision. FT-NIRS was more accurate than SPAD. NIRS is feasible as a rapid analysis method, and can be used in the selection and breeding of white clover germplasms to improve the breeding efficiency.
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Received: 2008-10-06
Accepted: 2008-12-28
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Corresponding Authors:
ZHANG Ying-jun
E-mail: zhangyj@cau.edu.cn
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[1] Norris K H, Bames R F. Animal Science, 1976, 43(4): 897. [2] Campbell M R, Mannis S R, Port H A, et al. Cereal Chem., 1999, 76(4): 552. [3] Laporte MF, Paquin P. Agric. Food Chem., 1999, 47: 2600. [4] Velasco L, Becker H C. Euphytica, 1998, 101: 221. [5] ZHAO Huan-huan, HU Yao-gao, ZHAO Qi-bo, et al(赵环环, 胡跃高, 赵其波,等). Acta Zoonutrimenta Sinica(动物营养学报), 2001, 13(4): 40. [6] CHEN Peng-fei, RONG Yu-ping, WU Jian-guan(陈鹏飞, 戎郁萍, 吴建冠). China Feed(中国饲料), 2006(9): 33. [7] DONG Su-xiao, LIU Xian, HAN Lu-jia(董苏晓, 刘 贤, 韩鲁佳). Journal of China Agricultural University(中国农业大学学报), 2007, 12(6): 85. [8] Garcia-Criado B, Garcia-Ciudad A. J. Sci. Food Agric., 1990, 50: 479. [9] Villamarin B, Fernandez E, Mendez J. Journal of AOAC International, 2002, 85(3): 541. [10] WU Jian-guo, SHI Chun-hai(吴建国, 石春海). Journal of Plant Genetic Resources(植物遗传资源学报),2003, 4(1): 68. [11] Berardo N. Grass and Forage Science, 1997, 52: 27. [12] WANG Kang, SHEN Rong-kai, TANG You-sheng(王 康,沈荣开,唐友生). Irrigation and Drainage(灌溉排水),2002, 4: 1. [13] LEI Ze-xiang,AI Tian-cheng,LI Fang-min,et al(雷泽湘, 艾天成, 李方敏,等). Journal of Hubei Agricuhural College(湖北农学院学报),2001, 21(2): 138.
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