作物学报 ›› 2012, Vol. 38 ›› Issue (04): 747-753.doi: 10.3724/SP.J.1006.2012.00747
王磊,白由路,卢艳丽,王贺,杨俐苹
WANG Lei,BAI You-Lu,LU Yan-Li,WANG He,YANG Li-Ping
摘要: 以2007—2009年连续2个冬小麦生长季的田间试验数据为基础,利用GreenSeeker获取冠层归一化差值植被指数(NDVI),分别对不同氮营养条件下冬小麦的产量变化、冠层NDVI值随施氮量和生育期的动态变化,以及NDVI与产量的相关性定量分析,建立基于NDVI的冬小麦产量估算模型。结果表明,冬小麦的产量变化随施氮量的增加呈抛物线趋势变化;冠层NDVI在返青期前随施氮量增加基本不变,返青期至灌浆初期随施氮量增加呈显著增加趋势;整个生育期冠层NDVI呈现“低–高–低”变化趋势。冬小麦整个生育期不同施氮水平下的NDVI值与产量的相关性均为正相关关系,且相关性随生育期逐渐增强,在灌浆末期达到最大。利用NDVI建立的冬小麦产量估算模型,以灌浆初期(P=0.005)和灌浆末期(P<0.001)的模型达到极显著水平。经验证,灌浆初期的冬小麦产量预测值与实测值的回归关系达到了显著水平(P=0.0129),灌浆末期则达到极显著水平(P=0.0002)。因此,利用灌浆初期和灌浆末期的NDVI值可以预测冬小麦产量,尤以灌浆末期预测效果更佳。
[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) |
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