| 光谱学与光谱分析 |
|
|
|
|
|
| Determination of Physiological Indices in Early Kernel at Different Ear Position in Maize(Zea Mays L.) with UV-Visible Spectrophotometry |
| SHEN Li-xia1,2, WANG Pu2*, SUN Xi-huan1 |
1. College of Water Conservancy and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
2. College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China |
|
|
|
|
Abstract To examine the difference between early kernels at different ear position in maize and the effect of nitrogen supply rates on kernel development, physiological indices in apical and mid-basal kernel 5-20 days after pollination in maize under different nitrogen supply rates (0, 120, 180 and 240 kg·ha-1) were determined with UV-Vis spectrophotometry. The results showed that nitrogen supply obviously increased the contents of soluble sugar, sucrose and starch, and the activities of enzymes related to sucrose inversion and starch synthesis. Twenty days after pollination, the kernel volume, dry weight and the contents of soluble sugar, sucrose and starch in apical kernel under nitrogen supply rate of 180 kg·ha-1 were higher than those with other treatments. Five to twenty days after pollination, higher activities of acid sucrose invertase (AI), neutral sucrose invertase (NI), sucrose synthase (SS), ADPGase and starch synthase in apical kernel were also obtained under nitrogen supply rate of 180 kg·ha-1, indicating that the sucrose utilization and starch synthesis were improved, the kernel development was promoted and the kernel abortion was reduced, which resulted in higher yield.
|
|
Received: 2008-10-28
Accepted: 2009-01-29
|
|
|
|
Corresponding Authors:
WANG Pu
E-mail: wangpu@cau.edu.cn
|
|
[1] Otegui M E. Crop Sci., 1997, 37: 448.
[2] Jorgelina C, Martín U, Lucas B. Crop Sci., 2000, 40: 1056.
[3] Uhart S A, Andrade F H. Crop Sci., 1995, 35: 1384.
[4] SUN Guo-wei, ZHANG Feng-lu, GUO Jiang(孙国伟, 张风路, 郭 江). Journal of Maize Science(玉米科学), 2004, 12: 35.
[5] HE Zhao-fan(何照范). Analysis Technique for Grain Quality of Cereals and Oils(粮油籽粒品质及其分析技术). Beijing: China Agriculture Press(北京:中国农业出版社), 1985. 144.
[6] Lowell C A, Tomlinson P T, Koch K E. Plant Science, 1999, 140: 169.
[7] Northwest Agricultural University(西北农业大学编). Experimental Guide for Basic Biochemistry(基础生物化学实验指导). Xi’an: Shaanxi Science and Technology Press(西安: 陕西科学技术出版社), 1986. 88.
[8] Nakamura Y, Yuki K, Park S Y. Plant Cell Physiol, 1989, 30(6): 833.
[9] LI Li-ren(李立仁). Plant Physiology Communication(植物生理学通讯), 1986, 22(4): 5.
[10] Boyle M G, Boyer J S, Morgan P W. Crop Sci., 1991, 31: 1246.
[11] Schussler J R, Westgate M E. Crop Sci., 1991, 31: 1196.
[12] Tollenaar M, Dwyer L M, Stewart D W. Crop Sci., 1992, 32: 432.
[13] Hannah L C. American Society Plant Physiology, 1995, 14: 72.
[14] Chengappa S, Guilleroux M, Phillips W. Plant Mol. Biol., 1999, 40: 2213.
[15] Slattery C J, Kavakli I H, Thomas W. Trends Plant Sci., 2000, 5(7): 291. |
| [1] |
WANG Hong-jian1, YU Hai-ye1, GAO Shan-yun1, LI Jin-quan1, LIU Guo-hong1, YU Yue1, LI Xiao-kai1, ZHANG Lei1, ZHANG Xin1, LU Ri-feng2, SUI Yuan-yuan1*. A Model for Predicting Early Spot Disease of Maize Based on Fluorescence Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3710-3718. |
| [2] |
LI Yang1, LI Xiao-qi1, YANG Jia-ying1, SUN Li-juan2, CHEN Yuan-yuan1, YU Le1, WU Jing-zhu1*. Visualisation of Starch Distribution in Corn Seeds Based on Terahertz Time-Domain Spectral Reflection Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2722-2728. |
| [3] |
ZHANG Fu1, 2, WANG Xin-yue1, CUI Xia-hua1, YU Huang1, CAO Wei-hua1, ZHANG Ya-kun1, XIONG Ying3, FU San-ling4*. Identification of Maize Varieties by Hyperspectral Combined With Extreme Learning Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2928-2934. |
| [4] |
YANG Dong-feng1, HU Jun2*. Accurate Identification of Maize Varieties Based on Feature Fusion of Near Infrared Spectrum and Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2588-2595. |
| [5] |
LIU Zhao1, 2, LI Hua-peng1, CHEN Hui1, 2, ZHANG Shu-qing1*. Maize Yield Forecasting and Associated Optimum Lead Time Research Based on Temporal Remote Sensing Data and Different Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2627-2637. |
| [6] |
ZHANG Chao1*, SU Xiao-yu1, XIA Tian2, YANG Ke-ming3, FENG Fei-sheng4. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1268-1274. |
| [7] |
ZHANG Yan1, 2, WANG Hui-le1, LIU Zhong2, ZHAO Hui-fang1, YU Ying-ying1, LI Jing1, TONG Xin1. Spectral Analysis of Liquefaction Residue From Corn Stalk Polyhydric
Alcohols Liquefaction at Ambient Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 911-916. |
| [8] |
YANG Dong-feng1, LI Ai-chuan1, LIU Jin-ming1, CHEN Zheng-guang1, SHI Chuang1, HU Jun2*. Optimization of Seed Vigor Near-Infrared Detection by Coupling Mean Impact Value With Successive Projection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3135-3142. |
| [9] |
WU Bing, YANG Ke-ming*, GAO Wei, LI Yan-ru, HAN Qian-qian, ZHANG Jian-hong. EC-PB Rules for Spectral Discrimination of Copper and Lead Pollution Elements in Corn Leaves[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3256-3262. |
| [10] |
ZHANG Yan1, WANG Hui-le1, ZHAO Hui-fang1, LI Jing1, TONG Xin1, LIU Zhong2. Optimization of Corn Stalk Liquefaction Conditions Under Atmospheric Pressure and Analysis of Biofuel[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2551-2556. |
| [11] |
FENG Rui-jie1, CHEN Zheng-guang1, 2*, YI Shu-juan3. Identification of Corn Varieties Based on Bayesian Optimization SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1698-1703. |
| [12] |
MENG Fan-jia1, LUO Shi1, WU Yue-feng1, SUN Hong1, LIU Fei2, LI Min-zan1*, HUANG Wei3, LI Mu3. Characteristic Extraction Method and Discriminant Model of Ear Rot of Maize Seed Base on NIR Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1716-1720. |
| [13] |
ZHANG Tian-liang, ZHANG Dong-xing, CUI Tao, YANG Li*, XIE Chun-ji, DU Zhao-hui, ZHONG Xiang-jun. Identification of Early Lodging Resistance of Maize by Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1229-1234. |
| [14] |
TANG Yu-zhe, HONG Mei, HAO Jia-yong, WANG Xu, ZHANG He-jing, ZHANG Wei-jian, LI Fei*. Estimation of Chlorophyll Content in Maize Leaves Based on Optimized Area Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 924-932. |
| [15] |
CHEN Mei-chen, YU Hai-ye, LI Xiao-kai, WANG Hong-jian, LIU Shuang, KONG Li-juan, ZHANG Lei, DANG Jing-min, SUI Yuan-yuan*. Response Analysis of Hyperspectral Characteristics of Maize Seedling Leaves Under Different Light and Temperature Environment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3545-3551. |
|
|
|
|
