农业工程学报
農業工程學報
농업공정학보
2015年
9期
180-186
,共7页
胡珍珠%潘存德%肖冰%潘鑫
鬍珍珠%潘存德%肖冰%潘鑫
호진주%반존덕%초빙%반흠
光谱测定法%氮素%回归分析%特征参量%估测模型
光譜測定法%氮素%迴歸分析%特徵參量%估測模型
광보측정법%담소%회귀분석%특정삼량%고측모형
spectrometry%nitrogen%regression analysis%characteristic parameter%estimation model
建立基于光谱特征参量的新温185号(Juglans regia‘Xinwen185’)核桃叶片氮素含量估测模型,旨在为快速监测新温185号核桃叶片N素营养状况提供技术途径。基于肥料效应田间试验,测定N肥不同施用量水平下新温185号核桃果实坐果期、速生生长期、脂化期和近成熟期的叶片光谱反射率和N素含量,采用Pearson相关分析方法筛选与叶片N素含量呈极显著相关的光谱特征参量,并应用回归分析方法建立叶片N素含量光谱特征参量估测模型。结果表明:与叶片N素含量呈极显著相关(P<0.01)的光谱特征参量在果实坐果期有绿峰反射率和红色比值指数,在果实速生生长期有黄边位置、红谷反射率和绿色比值指数、红色比值指数、绿色归一化差值指数、红色归一化差值指数,在果实脂化期有绿峰反射率和红色比值指数,在果实近成熟期有绿峰反射率、黄边幅值和红边面积。分别以绿峰反射率、黄边位置、红色比值指数和黄边幅值为自变量采用三次函数建立的果实坐果期、速生生长期、脂化期和近成熟期叶片N素含量回归估测模型的拟合度R2均在0.99以上,且模型具有很好的稳定性和很高的估测精度。表明可采用三次函数建立果实不同生育时期叶片N素含量光谱特征参量估测模型对新温185号核桃树体N素营养水平进行监测。光谱技术在核桃树体N素营养信息探测方面有较大的应用潜力。
建立基于光譜特徵參量的新溫185號(Juglans regia‘Xinwen185’)覈桃葉片氮素含量估測模型,旨在為快速鑑測新溫185號覈桃葉片N素營養狀況提供技術途徑。基于肥料效應田間試驗,測定N肥不同施用量水平下新溫185號覈桃果實坐果期、速生生長期、脂化期和近成熟期的葉片光譜反射率和N素含量,採用Pearson相關分析方法篩選與葉片N素含量呈極顯著相關的光譜特徵參量,併應用迴歸分析方法建立葉片N素含量光譜特徵參量估測模型。結果錶明:與葉片N素含量呈極顯著相關(P<0.01)的光譜特徵參量在果實坐果期有綠峰反射率和紅色比值指數,在果實速生生長期有黃邊位置、紅穀反射率和綠色比值指數、紅色比值指數、綠色歸一化差值指數、紅色歸一化差值指數,在果實脂化期有綠峰反射率和紅色比值指數,在果實近成熟期有綠峰反射率、黃邊幅值和紅邊麵積。分彆以綠峰反射率、黃邊位置、紅色比值指數和黃邊幅值為自變量採用三次函數建立的果實坐果期、速生生長期、脂化期和近成熟期葉片N素含量迴歸估測模型的擬閤度R2均在0.99以上,且模型具有很好的穩定性和很高的估測精度。錶明可採用三次函數建立果實不同生育時期葉片N素含量光譜特徵參量估測模型對新溫185號覈桃樹體N素營養水平進行鑑測。光譜技術在覈桃樹體N素營養信息探測方麵有較大的應用潛力。
건립기우광보특정삼량적신온185호(Juglans regia‘Xinwen185’)핵도협편담소함량고측모형,지재위쾌속감측신온185호핵도협편N소영양상황제공기술도경。기우비료효응전간시험,측정N비불동시용량수평하신온185호핵도과실좌과기、속생생장기、지화기화근성숙기적협편광보반사솔화N소함량,채용Pearson상관분석방법사선여협편N소함량정겁현저상관적광보특정삼량,병응용회귀분석방법건립협편N소함량광보특정삼량고측모형。결과표명:여협편N소함량정겁현저상관(P<0.01)적광보특정삼량재과실좌과기유록봉반사솔화홍색비치지수,재과실속생생장기유황변위치、홍곡반사솔화록색비치지수、홍색비치지수、록색귀일화차치지수、홍색귀일화차치지수,재과실지화기유록봉반사솔화홍색비치지수,재과실근성숙기유록봉반사솔、황변폭치화홍변면적。분별이록봉반사솔、황변위치、홍색비치지수화황변폭치위자변량채용삼차함수건립적과실좌과기、속생생장기、지화기화근성숙기협편N소함량회귀고측모형적의합도R2균재0.99이상,차모형구유흔호적은정성화흔고적고측정도。표명가채용삼차함수건립과실불동생육시기협편N소함량광보특정삼량고측모형대신온185호핵도수체N소영양수평진행감측。광보기술재핵도수체N소영양신식탐측방면유교대적응용잠력。
With the establishment of the models based on spectral characteristic parameter for estimating foliar nitrogen concentrations ofJuglans regia‘Xinwen 185’, this paper aimed to explore spectral technical approaches to rapidly monitoring the foliar N nutritional status ofJuglans regia ‘Xinwen 185’. Based on the field experiment of fertilizer efficiency, the foliar spectral reflectance and N concentrations of the foliar samples under different amounts of N fertilizer, which were applied in the fruit setting period, the fruit rapid-growth period, the fruit fat-change period and the fruit near-mature period, were measured separately with Unispec-SC and chemical analysis in the laboratory. The Pearson correlation analysis of the foliar spectral reflectance and foliar N element concentrations was done in the 4 phenological periods of fruit development, and the spectral characteristic parameters highly significantly correlated with the foliar spectral reflectance and foliar N element concentration were selected. Finally, the spectral characteristic parameter estimating models of the foliar N element concentration were established by employing regression analysis, with the adopted functions including power function, exponential function, semi-log function, linear function, quadratic function and cubic function, and then the independent sample was used to test the precision of the models, of which the one with the highest fitting degree was screened out. The results indicated that the spectral characteristic parameters, highly significantly correlated with the foliar N element concentration (P<0.01), were reflectance of the green peak position and ratio of red index in fruit setting period, yellow edge position, red valley position, ratio of green index, ratio of red index, normalized difference of green index and normalized difference of red index in the fruit fast-growing period, reflectance of the green peak position and ratio of red index in the fruit fat-change period, and reflectance of the green peak position, he spectra slop of yellow edge and red edge area in the fruit near-mature period. Moreover, the absolute values of the correlation coefficient were all greater than 0.96 in the 4 phenological periods of fruit development. Through cubic function analysis with the reflectance of the green peak position, yellow edge position, ratio of red index and the spectra slop of yellow edge as independent variables, the regression estimation models of the foliar N element concentration in the 4 phenological periods of fruit development were established respectively, and their fitting degreesR2 were all above 0.99. In addition, the predicted values for foliar N concentration ofJuglansregia‘Xinwen185’ were relatively close to measured values, and all the models were examined by the confidence ellipse test; and RMSE and the relative errors (RE) of the independent sample tests were only 0.4533 g/kg and 0.4403%, 0.7716 g/kg and -0.3390%, 0.8793 g/kg and -0.3201%, 0.8145 g/kg and -0.1229% separately in the 4 phenological periods of fruit development. The models showed their significant stability and high estimation accuracy. The findings in this paper manifested that it was feasible to monitor foliar N nutritional levels ofJuglans regia ‘Xinwen 185’ in the 4 phenological periods of fruit development by establishing spectral characteristic parameter models of foliar N element concentration estimation. Spectrum technology possesses great application potential in monitoring N element nutritional status of Juglans regia‘Xinwen 185’.