| 光谱学与光谱分析 |
|
|
|
|
|
| Fourier Transform Infrared Spectral Analysis on Peanut (Arachis Hypogaea) Plants under Calcium Deficiency Stress |
| GAO Li-li1,2, WANG Sheng-feng1, HAN Ya1, LIU Zi-fei1,2, HUANG Jin-sheng1,2, Hilman2,3, LIU Rong-le2, WANG Hong1* |
1. Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
2. The Graduate School, Chinese Academy of Agricultural Sciences, Beijing 100081, China
3. Southeast Sulawesi Assessment Institute for Agricultural Technology, Indonesian Agency for Agricultural Research and Development, BANDUNG 40115, Indonesian |
|
|
|
|
Abstract The objective of the present study was to reveal different tolerance of peanut plants to Ca deficiency by determining Ca uptake and Fourier transform infrared spectral (FTIR) differences of two peanut cultivars grown in nutrition solution. Peanut cultivars LH11 and YZ9102 were selected. Seedlings at the first leaf stage were cultivated for 28 days in nutrient solution with 0, 0.01 and 2.0 mmol·L-1 Ca treatments, respectively. The results showed that under 0 and 0.01 mmol·L-1 Ca supply, YZ9102 did not show Ca deficiency symptoms and the plant biomass did not change, whereas LH11 exhibited shoot-tip necrosis, smaller plant size, more lateral branches, and plant dry matter weights decreased significantly. YZ9102 had higher plant Ca concentration and Ca accumulation than LH11. Besides, for LH11, Ca was mainly accumulated in roots, while for YZ9102 mainly in leaves. As compared with plants cultivated in 2.0 mol·L-1 Ca nutrition, root, stem and leaf of LH11 plants under Ca deficiency stress showed higher transmittance at peaks 1 060, 1 380, 1 655, 2 922, and 3 420 cm-1 in FTIR spectra, indicating that the contents of protein, sugar and lipid decreased obviously in LH11 plants in condition that Ca supply was limited. However, the FTIR spectra of YZ9102 were less affected by Ca deficiency. It is suggested that YZ9102 might be more tolerant to Ca deficiency.
|
|
Received: 2013-06-09
Accepted: 2014-01-20
|
|
|
|
Corresponding Authors:
WANG Hong
E-mail: wanghong01@caas.cn
|
|
[1] Marschner H. Mineral Nutrition of Higher Plants, 2<sup>nd</sup> ed, New York：Academic Press, 1995.
[2] White P J, Broadley M R. Annal Botany. (Lond.), 2003, 92: 487.
[3] LU Jing-ling(陆景陵). Plant Nutrition (Volume 1). 2<sup>nd</sup> Edition (植物营养学（上册）, 第2版). Beijing: China Agricultural University Press(北京：中国农业大学出版社), 2003. 124.
[4] Ng C K Y, McAinsh M R. Annals of Botany, 2003, 92: 477.
[5] McAinsh M R, Pittman J K. New Phytologist, 2009, 181: 275.
[6] Dodd A N, Kudla J, Sanders D. Annual Review of Plant Biology, 2010, 61: 593.
[7] ZHOU Wei, WANG Hong(周 卫，汪 洪). Chinese Bulletin of Botany(植物学通报), 2007, 24(6): 762.
[8] Sun Y Q, Feng H, Liu F L. Journal of Experimental Botany, 2013, in press.
[9] Dumas P, Miller L. Vibrational Spectroscopy, 2003, 32: 3.
[10] Dokken K M, Davis L C, Marinkovic N S. Applied Spectroscopy Reviews, 2005, 40(4): 7.
[11] Griffiths, J A. de Haseth. Fourier Transform Infrared Spectrometry Wiley, New York，1986.
[12] Jackson M, Mantsch H H. In: Infrared Spectroscopy of Biomolecules. Mantsch H H, Chapman D, editors. Wiley-Liss; Toronto: 1996. 311.
[13] Yee N, Benning L G, Phoenix V R, et al. Environment Science and Technology, 2004; 38(3): 775.
[14] Dean A P, Nicholson J M, Sigee D C. European Journal of Phycology, 2008, 43: 345.
[15] Sigee D C, Bahram F, Estrada B, et al. Phycologia, 2007, 46: 583.
[16] Giordano M, Kansiz M, Heraud P, et al. Journal of Phycology, 2001, 37(2): 271.
[17] Heraud P, Wood B R, Tobin M J, et al. FEMS Microbiology Letters, 2005, 249: 219.
[18] Stehfest K, Toepel J, Wilhelm C. Plant Physiology, 2005, 43: 717.
[19] Dean A P, Sigee D C, Estrada B, et al. Bioresource Technology, 2010, 12: 4499.
[20] Coates J R, Meyers A. (Ed. ). Encyclopaedia of Analytical Chemistry, John Wiley and Sons Ltd., Chichester，2000. 10815.
[21] Yamanaka A, Hashimoto A, Matsuo T, et al. Bioprocess and Biosystems Engineering, 2007, 30(6): 457. |
| [1] |
CHEN Miao, HOU Ming-yu, CUI Shun-li, LI Zhen, MU Guo-jun, LIU Ying-ru, LI Xiu-kun, LIU Li-feng*. Construction of Near-Infrared Model of Peanut Sugar Content in
Different Seed Coat Colors[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2896-2902. |
| [2] |
LIU Tian-shun1, 2, LI Peng-fa1, 2, LI Gui-long1, 2, WU Meng1, LIU Ming1, LIU Kai1, 2, LI Zhong-pei1, 2*. Using Three-Dimensional Excitation-Emission Matrix to Study the Compositions of Dissolved Organic Matter in the Rhizosphere Soil of Continuous Cropping Peanuts With Different Health States[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 634-641. |
| [3] |
ZHOU Jing1,2, ZHANG Qing-qing1,2, JIANG Jin-guo2, NIE Qian2, BAI Zhong-chen1, 2*. Study on the Rapid Identification of Flavonoids in Chestnut Rose (Rosa Roxburghii Tratt) by FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3045-3050. |
| [4] |
ZHAO Si-meng1, YU Hong-wei1, GAO Guan-yong2, CHEN Ning2, WANG Bo-yan3, WANG Qiang1*, LIU Hong-zhi1*. Rapid Determination of Protein Components and Their Subunits in Peanut Based on Near Infrared Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 912-917. |
| [5] |
YAN Chen1, JIANG Xue-song1*, SHEN Fei2*, HE Xue-ming2, FANG Yong2, LIU Qin2, ZHOU Hong-ping1, LIU Xing-quan3. Visible/Near-Infrared Spectroscopy Combined With Machine Vision for Dynamic Detection of Aflatoxin B1 Contamination in Peanut[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3865-3870. |
| [6] |
ZHANG Wei-wei, SUN Yan-hui*, GU Hai-yang, LÜ Ri-qin, WANG Wen-zheng. Application of Synchronous Fluorescence Spectroscopy and Chemometric Models for Rapid Evaluating Peanut Oil Oxidative Stability[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 3113-3117. |
| [7] |
MA Hong-yan，WANG Jing-yuan, ZHANG Yue-cheng*, YANG Xiao-jun, CHEN Xiao-li. Determination of Dopamine by Fluorescence Quenching-Recovery Method with Peanut Carbon Quantum Dots as Probe[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(04): 1093-1098. |
| [8] |
QIAO Xiao-jun, JIANG Jin-bao*, LI Hui, QI Xiao-tong, YUAN De-shuai. College of Geosciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 535-539. |
| [9] |
LIU Peng1, JIANG Xue-song1*, SHEN Fei2, WU Qi-fang2, XU Lin-yun1, ZHOU Hong-ping1. Rapid Detection of Toxigenic Fungal Contamination in Peanuts with Near Infrared Spectroscopy Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(05): 1397-1402. |
| [10] |
YU Hong-wei, WANG Qiang, SHI Ai-min, YANG Ying, LIU Li, HU Hui, LIU Hong-zhi* . Visualization of Protein in Peanut Using Hyperspectral Image with Chemometrics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 853-858. |
| [11] |
LEI Jing，HAO Yan-shu，WU Xiu-wen，JIANG Cun-cang*. FTIR Study of Leaf of Different Cotton Genotypes under Potassium Substitution with Sodium[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1696-1699. |
| [12] |
ZHENG Tian-tian, SUN Teng-fei, CAO Zeng-hui, ZHANG Jun* . Quality Analysis of Peanut Seed by Visible/Near-Infrared Spectra [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(03): 622-625. |
| [13] |
QIU Lu1, YANG Hai-yan1, YANG Chun-sheng1, LIU Peng2, FAN Shu-guo1, LIU Ren-ming3, ZHOU Lin-zong4 . Study on DNA Fourier Infrared Spectroscopy of Three Kinds of Nicotiana Tabacum L. [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(04): 967-971. |
|
|
|
|
