Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (04): 747-753.doi: 10.3724/SP.J.1006.2012.00747

• RESEARCH NOTES • Previous Articles     Next Articles

NDVI Analysis and Yield Estimation in Winter Wheat based on GreenSeeker

WANG Lei,BAI You-Lu,LU Yan-Li,WANG He,YANG Li-Ping   

  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
  • Received:2011-09-26 Revised:2012-01-19 Online:2012-04-12 Published:2012-02-13

PDF

1743

Cited

12

Abstract: The field experiment was carried out in two winter wheat growing seasons during 2007–2009. Winter wheat canopy reflectances in the 656 nm and 770 nm wavelengths were obtained by GreenSeeker at over-wintering stage, reviving stage, jointing stage, early-filling stage, and last-filling stage, respectively, in order to compute NDVI [(NIR770-R656)/(NIR770+R656)]. Yields were collected at harvest stage and compared among different nitrogen application rates. Canopy NDVI changes were analyzed with nitrogen increasing and growth, respectively. Furthermore, correlation analysis was done between yield and canopy NDVI. Yield estimation models were established for winter wheat based on canopy NDVI. Results showed that, winter wheat yield changed in parabola shape with N increasing. Wheat canopy NDVI value presented almost changeless before reviving stage, but great increase from reviving stage to early-filling stage with N increasing. In the whole growth stage, canopy NDVI value presented a trend of “low–high–low”. The correlation between canopy NDVI and yield was positive in the whole growth stage with different N rates and gradually became higher with growth, and up to the highest at the late-filling stage. The yield estimation models based on canopy NDVI at early-filling stage (P=0.005) and late-filling stage (P<0.001) were greatly significant. Regression validated between predicted and measured values was significant at early-filling stage (P=0.0129) and greatly significant at late-filling stage (P=0.0002). So, it is feasible that using canopy NDVI at early-filling stage and late-filling stage estimates winter wheat yield, especially at late-filling stage.

Key words: Winter wheat, Nitrogen application rate, Yield, Canopy NDVI, Estimation models

[1]Chen J F, Chen K M, Xu J B. Research on the remote sensing monitoring of grassland productivity based on TM-NDVI. Agric Sci & Technol, 2011, 12: 119–122

[2]Mkhabela M S, Bullock P, Raj S, Wang S, Yang Y. Crop yield forecasting on the Canadian Prairies using MODIS NDVI data. Agric & Forest Meteorol, 2011, 115: 385–393

[3]Hasegawa K, Matsuyama H, Tsuzuki H, Sweda T. Improving the estimation of leaf area index by using remotely sensed NDVI with BRDF signatures Remote Sens Environ, 2010, 114: 514–519

[4]Aboelghar M, Arafat S, Saleh A, Naeem S, Shirbeny M, Belal A. Retrieving leaf area index from SPOT4 satellite data. The Egypt J Remote Sens Space Sci, 2010, 13: 121–127

[5]Trishchenko A P. Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors: extension to AVHRR NOAA-17, 18 and METOP-A. Remote Sens Environ, 2009, 113: 335–341

[6]Hansen P M, Schjoerring J K. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sens Environ, 2003, 86: 542–553

[7]Aparicio N, Villegas D, Casadesus J, Araus J L, Royo C. Spectral vegetation indices as non-destructive tools for determining durum wheat yield. Agron J, 2000, 92: 83–91

[8]Soenen S A, Peddle D R, Hall R J, Coburn C A, Hall F G. Estimating aboveground forest biomass from canopy reflectance model inversion in mountainous terrain. Remote Sens Environ, 2010, 114: 1325–1337

[9]Gianquinto G, Orsini F, Fecondini M, Mezzetti M, Sanbo P, Bona S. A methodological approach for defining spectral indices for assessing tomato nitrogen status and yield. Eur J Agron, 2011, 35, 135–143

[10]William R R, Gordon V J. Improving nitrogen use efficiency for cereal production. Agron J, 1999, 91: 357–363

[11]Wu J-H(吴军华), Yue S-C(岳善超), Hou P(侯鹏), Meng Q-F(孟庆峰), Cui Z-L(崔振领), Li W(李雯), Chen X-P(陈新平). Monitoring winter wheat population dynamics using an active crop sensor. Spectroscopy and Spectral Anal (光谱学与光谱分析), 2011, 31(2): 535–538 (in Chinese with English abstract)

[12]Tan C-W(谭昌伟), Wang J-H(王纪华), Zhu X-K(朱新开), Wang Y(王妍), Wang J-C(王君婵), Tong L(童璐), Guo W-S(郭文善). Monitoring main growth status parameters at jointing stage in winter wheat based on Landsat TM images. Sci Agric Sin (中国农业科学), 2011, 44(7): 1358–1366 (in Chinese with English abstract)

[13]Feng M-C(冯美臣), Xiao L-J(肖璐洁), Yang W-D(杨武德), Ding G-W(丁光伟). Predicting grain yield of irrigation-land and dry-land winter wheat based on remotesensing data and meteorological data. Trans CSAE (农业工程学报), 2010, 26(11): 183–188 (in Chinese with English abstract)

[14]Reyniers M, Vrindts E, Baerdemaeker J D. Comparison of an aerial-based system and an on the ground continuous measuring device to predict yield of winter wheat. Eur J Agron, 2006, 24: 87–94

[15]Lu Y-L(卢艳丽), Hu H(胡昊), Bai Y-L(白由路), Wang L(王磊), Wang H(王贺), Yang L-P(杨俐苹). Effects of vegetation coverage on the canopy spectral and yield quantitative estimation in wheat. J Triticeae Crops (麦类作物学报), 2010, 30(1): 96–100 (in Chinese with English abstract)

[16]Feng M-C(冯美臣), Yang W-D(杨武德). Changes in NDVI and yield of winter wheat cultivars with different plant types. Chin J Eco-agric (中国生态农业学报), 2011, 19(1): 87–92 (in Chinese with English abstract)

[17]Ren J-Q(任建强), Chen Z-X(陈仲新), Zhou Q-B(周清波), Tang H-J(唐华俊). Retrieving the spatial-explicit harvest index for winter wheat from NDVI time series data. Trans CSAE (农业工程学报), 2010, 26(8): 160–167 (in Chinese with English abstract)

[18]Hu H(胡昊), Bai Y-L(白由路), Yang L-P(杨俐苹), Lu Y-L(卢艳丽), Wang L(王磊), Wang H(王贺), Wang Z-Y(王志勇). Diagnosis of nitrogen nutrition in winter wheat (Triticum aestivum) via SPAD-502 and GreenSeeker. Chin J Eco-agric (中国生态农业学报), 2010, 18(4): 748–752 (in Chinese with English abstract)

[19]Gou J-H(郭建华), Wang X(王秀), Meng Z-J(孟志军), Zhao C-J(赵春江), Yu Z-R(于振荣), Chen L-P(陈立平). Study on diagnosing nitrogen nutrition status of corn using GreenSeeker and SPAD meter. Plant Nutr Fert Sci (植物营养与肥料学报), 2008, 14(1): 43–47 (in Chinese with English abstract)

[20]Pinter P J, Jackson R D, Idso S B, Reginato R J. Multidate spectral reflectance as predictors of yield inwater stressed wheat and barley. Int J Remote Sens, 1981, 2: 43-48

[21]Mahey R K, Singh R, Sidhu S S, Narang R S. The use of remote sensing to assess the effects of water stress on wheat. Exp Agric, 1991, 27: 423–429

[22]Lukina E V, Freeman K W, Wynn K J, Thomason W E, Mullen R W, Stone M L, Solie J B, Klatt A R, Johnson G V, Elliott R L, Raun W R. Nitrogen fertilization optimization algorithm based on in-season estimates of yield and plant nitrogen uptake. J Plant Nutr, 2001, 24: 885–898

[23]Raun W R, Johnson G V, Stone M L, Solie J B, Lukina E V, Thomason W E, Schepers J S. In-season prediction of potential grain yield in winter wheat using canopy reflectance. Agron J, 2001, 93: 131–138

[24]Hansen P M, Jørgensen J R, Thomsen A. Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression. J Agric Sci, 2002, 139: 307–318

[25]Ferrio J P, Villegas D, Zarco J, Aparicio N, Araus J L, Royo C. Assessment of durum wheat yield using visible and near-infrared reflectance spectra of canopies. Field Corps Res, 2005, 94: 126–148

[26]Moriondo M, Maselli F, Bindi M. A simple model of regional wheat yield based on NDVI data. Eur J Agron, 2007, 26: 266–274

[27]Xue L H, Cao W X, Yang L Z. Predicting grain yield and protein content in winter wheat at different N supply levels using canopy reflectance spectra. Pedosphere, 2007, 17: 646–653

[28]Royo C, Aparicio N, Villegas D, Casadesus J, Monneveux P, Araus J L. Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions. Int J Remote Sens, 2003, 24: 4403–4419

[29]Freeman K W, Raun W R, Johnson G V, Mullen R W, Stone M L, Solie J B. Late-season prediction of wheat grain yield and grain protein. Comm Soil Sci & Plant Anal, 2003, 34: 1837–1852

[30]Li S-D(李升东), Wang F-H(王法宏), Si J-S(司纪升), Kong L-A(孔令安), Feng B(冯波), Zhang B(张宾). The relationship between normalized difference vegetation index and yield of different genotype wheat varieties. Agric Res Arid Areas (干旱地区农业研究), 2008, 26(6): 47–50 (in Chinese with English abstract)
[1] WANG Dan, ZHOU Bao-Yuan, MA Wei, GE Jun-Zhu, DING Zai-Song, LI Cong-Feng, ZHAO Ming. Characteristics of the annual distribution and utilization of climate resource for double maize cropping system in the middle reaches of Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(6): 1437-1450.
[2] WANG Wang-Nian, GE Jun-Zhu, YANG Hai-Chang, YIN Fa-Ting, HUANG Tai-Li, KUAI Jie, WANG Jing, WANG Bo, ZHOU Guang-Sheng, FU Ting-Dong. Adaptation of feed crops to saline-alkali soil stress and effect of improving saline-alkali soil [J]. Acta Agronomica Sinica, 2022, 48(6): 1451-1462.
[3] YAN Jia-Qian, GU Yi-Biao, XUE Zhang-Yi, ZHOU Tian-Yang, GE Qian-Qian, ZHANG Hao, LIU Li-Jun, WANG Zhi-Qin, GU Jun-Fei, YANG Jian-Chang, ZHOU Zhen-Ling, XU Da-Yong. Different responses of rice cultivars to salt stress and the underlying mechanisms [J]. Acta Agronomica Sinica, 2022, 48(6): 1463-1475.
[4] YANG Huan, ZHOU Ying, CHEN Ping, DU Qing, ZHENG Ben-Chuan, PU Tian, WEN Jing, YANG Wen-Yu, YONG Tai-Wen. Effects of nutrient uptake and utilization on yield of maize-legume strip intercropping system [J]. Acta Agronomica Sinica, 2022, 48(6): 1476-1487.
[5] CHEN Jing, REN Bai-Zhao, ZHAO Bin, LIU Peng, ZHANG Ji-Wang. Regulation of leaf-spraying glycine betaine on yield formation and antioxidation of summer maize sowed in different dates [J]. Acta Agronomica Sinica, 2022, 48(6): 1502-1515.
[6] LI Yi-Jun, LYU Hou-Quan. Effect of agricultural meteorological disasters on the production corn in the Northeast China [J]. Acta Agronomica Sinica, 2022, 48(6): 1537-1545.
[7] GUO Xing-Yu, LIU Peng-Zhao, WANG Rui, WANG Xiao-Li, LI Jun. Response of winter wheat yield, nitrogen use efficiency and soil nitrogen balance to rainfall types and nitrogen application rate in dryland [J]. Acta Agronomica Sinica, 2022, 48(5): 1262-1272.
[8] SHI Yan-Yan, MA Zhi-Hua, WU Chun-Hua, ZHOU Yong-Jin, LI Rong. Effects of ridge tillage with film mulching in furrow on photosynthetic characteristics of potato and yield formation in dryland farming [J]. Acta Agronomica Sinica, 2022, 48(5): 1288-1297.
[9] YAN Xiao-Yu, GUO Wen-Jun, QIN Du-Lin, WANG Shuang-Lei, NIE Jun-Jun, ZHAO Na, QI Jie, SONG Xian-Liang, MAO Li-Li, SUN Xue-Zhen. Effects of cotton stubble return and subsoiling on dry matter accumulation, nutrient uptake, and yield of cotton in coastal saline-alkali soil [J]. Acta Agronomica Sinica, 2022, 48(5): 1235-1247.
[10] KE Jian, CHEN Ting-Ting, WU Zhou, ZHU Tie-Zhong, SUN Jie, HE Hai-Bing, YOU Cui-Cui, ZHU De-Quan, WU Li-Quan. Suitable varieties and high-yielding population characteristics of late season rice in the northern margin area of double-cropping rice along the Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(4): 1005-1016.
[11] LI Rui-Dong, YIN Yang-Yang, SONG Wen-Wen, WU Ting-Ting, SUN Shi, HAN Tian-Fu, XU Cai-Long, WU Cun-Xiang, HU Shui-Xiu. Effects of close planting densities on assimilate accumulation and yield of soybean with different plant branching types [J]. Acta Agronomica Sinica, 2022, 48(4): 942-951.
[12] WANG Lyu, CUI Yue-Zhen, WU Yu-Hong, HAO Xing-Shun, ZHANG Chun-Hui, WANG Jun-Yi, LIU Yi-Xin, LI Xiao-Gang, QIN Yu-Hang. Effects of rice stalks mulching combined with green manure (Astragalus smicus L.) incorporated into soil and reducing nitrogen fertilizer rate on rice yield and soil fertility [J]. Acta Agronomica Sinica, 2022, 48(4): 952-961.
[13] DU Hao, CHENG Yu-Han, LI Tai, HOU Zhi-Hong, LI Yong-Li, NAN Hai-Yang, DONG Li-Dong, LIU Bao-Hui, CHENG Qun. Improving seed number per pod of soybean by molecular breeding based on Ln locus [J]. Acta Agronomica Sinica, 2022, 48(3): 565-571.
[14] CHEN Yun, LI Si-Yu, ZHU An, LIU Kun, ZHANG Ya-Jun, ZHANG Hao, GU Jun-Fei, ZHANG Wei-Yang, LIU Li-Jun, YANG Jian-Chang. Effects of seeding rates and panicle nitrogen fertilizer rates on grain yield and quality in good taste rice cultivars under direct sowing [J]. Acta Agronomica Sinica, 2022, 48(3): 656-666.
[15] YUAN Jia-Qi, LIU Yan-Yang, XU Ke, LI Guo-Hui, CHEN Tian-Ye, ZHOU Hu-Yi, GUO Bao-Wei, HUO Zhong-Yang, DAI Qi-Gen, ZHANG Hong-Cheng. Nitrogen and density treatment to improve resource utilization and yield in late sowing japonica rice [J]. Acta Agronomica Sinica, 2022, 48(3): 667-681.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd