RESEARCH ARTICLE

Effects of grading on the main quality attributes of peanut kernels

  • Jiancheng ZHANG ,
  • Chuantang WANG ,
  • Yueyi TANG ,
  • Xiuzhen WANG
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  • Shandong Peanut Research Institute, Qingdao 266100, China

Received date: 26 Nov 2008

Accepted date: 17 Dec 2008

Published date: 05 Sep 2009

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

Near infrared reflectance spectroscopy (NIRS) analysis of peanut kernels of different grades by mainly using advanced breeding lines derived from intersectional crosses in 2 experiments gave similar results, showing remarkable inter-grade variation in oil content of a specific entry. The effects of genotype on qualitative attributes proved to be predominant. No significant differences in protein content, oleic acid/linoleic acid content in total fatty acids, and oleic acid/linoleic acid ratio were detected among the No. 1, No. 2 and No. 3 grade peanut kernels of a given peanut genotype.

Key words: peanut; kernel grade; quality

Cite this article

Jiancheng ZHANG , Chuantang WANG , Yueyi TANG , Xiuzhen WANG . Effects of grading on the main quality attributes of peanut kernels[J]. Frontiers of Agriculture in China, 2009 , 3(3) : 291 -293 . DOI: 10.1007/s11703-009-0050-x

Acknowledgements

The study was supported in part by National Natural Science Foundation of China (Grant No. 30300224), China National High Tech Research & Development Project, China Ministry of Science & Technology (No. 2006AA10A114), the earmarked fund for Modern Agro-industry Technology Research System (MATRS) Peanut Program, MOA, China. Special thanks are due to Mr. Renxiu Jiang, Qingdao Newart Peanut Machinery Co. Ltd., for kindly providing high quality peanut kernel screens, which are being widely adopted in China peanut industry. We are most grateful to Mr. Tao Wu, Mr. Haitao Xue and Ms. Cuixiang Zhao for their technical assistance.
1
Mozingo R W, Coffelt T A, Wynne J C (1988). Market grade effects on fatty acid composition of five peanut cultivars. Agronomy Journal, 80: 73-75

2
Pattee H E, Young C T (1982). Peanut Science and Technology. Texas: American Peanut Research and Education Society, 655-688

3
Quinn G P, Keough M J (2002). Experimental Design and Data Analysis for Biologists. Cambridge: Cambridge University Press

4
Statistical analysis software for Windows.Version 8.1 (2000). Cary (NC): SAS Institute

5
Shen F Y, Wang C T, Duan S F (1995). Aseptic culture of gynophores to obtain peanut intersectional hybrids. Euphytica, 81(3): 245-249

DOI

6
Wan S B (2003). Peanut Cultivation Science. Shanghai: Shanghai Science and Technology Press, 340-429 (in Chinese)

7
Wan S B (2005). Peanut Quality Science. Beijing: China Agricultural Science & Technology Press. 47-76 (in Chinese)

8
Wang C T, Yang X D, Xu J Z, Liu G Z (2006). Differences in pod characters among groundnut cultivar L7-1 and its chemical mutants. International Arachis Newsletter, 26: 12-14

9
Yu S L, Zhu Y J, Min P, Liu H, Cao Y L (2003a). NIRS to determine protein and oil contents in peanut kernels. Journal of Peanut Science, 32(Suppl): 138-143 (in Chinese)

10
Yu S L, Zhu Y J, Min P, Liu H, Cao Y L, Wang C T, Zhang C S, Liu X, Zhou X Q (2003b). NIRS to determine major fatty acids contents in peanut kernels. In: Wan S B, ed. High Quality and High Output Peanuts: Principle and Techniques for Production. Beijing: China Agricultural Science and Technology Press, 344-349 (in Chinese)

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