Predicting Grain Yield and Protein Content in Winter Wheat at Different N Supply Levels Using Canopy Reflectance Spectra  

作　　者：XUE Li-Hong CAO Wei-Xing YANG Lin-Zhang 

机构地区：[1]Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095 （China） [2]Institute of Soil Sciences, Chinese Academy of Sciences, Nanjing 210008 （China）

出　　处：《Pedosphere》2007年第5期646-653,共8页土壤圈（英文版）

基　　金：Project supported by the National Natural Science Foundation of China (No.30400278);National High Technology Research and Development Program (863 Program) of China (No.2006AA10Z129)

摘　　要：A field experiment using a split-plot randomized complete block design with three replications was carried out to determine relationships between spectral indices and wheat grain yield （GY）, to compare the performance of four vegetation indices （VIs） for GY prediction, and to study the feasibility of VI to estimate grain protein content （GPC） in winter wheat. Two typical winter wheat （Triticum aestivum L.） cultivars ＇Xuzhou 26＇ （high protein content） and ＇Huaimai 18＇ （low protein content） were used as the main plot treatments and four N rates, i.e., 0, 120, 210, and 300 kg N ha^-1, as the sub-plot treatments. Increasing soil N supply significantly increased GY and GPC （P ≤ 0.05）. For the two cultivars combined, significant and positive correlations were found between four VIs and GY, with the strongest relationship observed when using the green ratio vegetation index （GRVI） at mid-filling. Cumulative VI estimates improved yield predictions substantially, with the best interval being heading to maturity stage. Similar results were found between VI and grain protein yield. However, when using cumulative VI, GPC showed no significant improvement. The strong relationship between leaf N status and GPC （R2 =0.9144 for ＇Xuzhou 26＇ and R2 = 0.8285 for ＇Huaimai 18＇） indicated that canopy spectra could be used to predict GPC. The strong fit between estimated and observed GPC （R2 = 0.7939） indicated that remote sensing techniques were potentially useful predictors of grain protein content and quality in wheat.用一个裂口阴谋的一个地实验使随机化有三复制的完全的块设计被执行决定在之间的关系光谱索引和小麦谷物产量( GY )，为 GY 比较四个植被索引(力)的表演预言，并且到学习，到估计谷物蛋白质的 VI 的可行性满足( GPC )在里面冬小麦。二典型冬小麦( Triticum aestivum L.)栽培变种 ‘X uzhou 26'(高蛋白质内容)和 ‘H uaimai 18'(低蛋白质内容)被用作著处理和四 N 率，即， 0 ， 120 ， 210 ，和 300 kg N 哈? 1 ，作为次要情节处理。增加的土壤 N 供应显著地增加了 GY 和 GPC (P ≤ 0.05 ) 。为联合的二栽培变种，重要并且正相关在四个力和 GY 之间被发现，当使用绿比率植被索引(GRVI ) 在时，观察的最强壮的关系地中间充满。累积 VI 实质地估计改进产量预测，与正在出发到成熟舞台的最好的间隔。类似的结果在 VI 和谷物蛋白质产量之间被发现。然而，当使用累积 VI 时， GPC 没显示出重要改进。在叶 N 地位和 GPC 之间的强壮的关系(R2 = 0.9144 为‘ X uzhou 26' 和 R2 = 0.8285 为‘ H uaimai 18') 显示华盖系列能被用来预言 GPC。强壮在估计并且观察的 GPC 之间合适(R2 = 0.7939 ) 显示遥感技术在小麦是谷物蛋白质内容和质量的潜在地有用的预言者。

关 键 词：grain protein content grain yield soil N supply vegetation index WHEAT 

分 类 号：S512.11[农业科学—作物学]