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《Plant Production Science》2013,16(3):293-306
AbstractA two-band digital imaging system —one band for the visible red band (RED, 630?670 nm) and the other for the near infrared band (NIR, 820?900 nm)— was devised and positioned at a height of 12 m above a rice field of 300 m2 in area during the 2007 growing season. The imaging system automatically logged bird’seye view images at 10-min intervals from 0800?1600 every day. Radiometric corrections for the pairs of two-band images were done using solar irradiance sensors and preceding calibrations to calculate daily band-reflectance and the normalized difference vegetation index (NDVI) values for 9 plots of rice plants, with 3 levels of planting density and basal fertilization. The daily- averaged reflectance values in the RED and the NIR bands showed different but smooth seasonal changing patterns according to the growth of plants. At the maximum tiller number and the panicle formation stages, the RED and NIR reflectance values had correlation coefficients (r) of 0.79 and 0.81 with above-ground nitrogen absorption per unit land area (NA, g m-2), respectively, whereas the NDVI using the two band reflectance values showed r-value of -0.13. An empirically derived equation for the NA using two band reflectance values showed r-value of 0.96 and a root mean square of error (RMSE) 0.5 g m–2 (10% of the mean observed NA) in the estimation for the original (not validated) data set acquired at the maximum tiller number and the panicle formation stages. The results indicated that reflectance observation in the RED and NIR bands using the digital imaging system was potentially effective for assessing rice growth. 相似文献
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为探索快速高效测定大麦籽粒中抗性淀粉含量的方法,利用衰减全反射中红外（attenuated total reflection mid-infrared spectroscopy,ATR-MIR）和近红外（near-infrared spectroscopy,NIR）光谱技术,分别用3种不同方法进行预处理,建立大麦样品的抗性淀粉含量快速测定红外模型,通过不同预处理预测模型的校正和内部交叉验证结果的比较,依据决定系数（r）和均方根误差（RMSE）筛选出基于ATR-MIR和NIR光谱的最佳预测模型,再对最佳预测模型进行外部验证。结果表明,经基线位移校正+范围归一化（BOC+RN）预处理后的PLS模型为最佳ATR-MIR预测模型;经标准正态变换+Savitzky-Golay法一阶求导（SNV+1thD）的预处理模型为最佳NIR预测模型。用验证集材料对BOC+RN和SNV+1thD最佳预测模型的预测效果进行外部验证,光谱预测值与化学测定值之间没有显著差异,说明两种方法均可以用于大麦籽粒抗性淀粉含量测定;ATR-MIR光谱比NIR光谱具有更好的预测能力。 相似文献
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近红外反射光谱(NIRS)技术分析奶粉品质的研究 总被引：6，自引：0，他引：6
奶粉中蛋白质和脂肪是影响奶粉营养品质的主要因素,利用近红外反射光谱分析技术对来自国内不同地区的奶粉共900份样品进行蛋白质和脂肪成分测定分析。研究了不同的样品数日、光谱预处理和散射校正技术对发展奶粉近红外测定定标模型的影响。结果表明．在样品数目为200—400范围内建立的定标分析模型较理想;数学预处理中以一阶导数较好,且以“1,4,4,1”的处理组合最为理想;光谱散射校正中采用“标准正态变量转换(SNV) 趋势变换法(De—trending)”的组合建立回归方程效果较好。利用改进最小二乘法回归技术(Modified PLS)建立多种定标模型,并进行交叉验证(cross—Validation)来分析各种因素对定标模型的影响。同时筛选出较理想的蛋白质和脂肪定标分析回归方程,其中蛋白质和脂肪含量的相关系数高速0．973和0．850。探讨了NIRS技术在建模应用中的一些影响因素,以及由NIRS技术建立奶粉分析模型用于快速分析和在线检测的可行性。 相似文献
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Linda Dykes Leo Hoffmann Jr.Ostilio Portillo-Rodriguez William L. RooneyLloyd W. Rooney 《Journal of Cereal Science》2014
The reported high phenolic levels in sorghum have led an interest from sorghum breeding programs in developing and identifying germplasms with high phenolic levels, which require screening a large number of samples to find those with the highest levels. Since wet chemistry screening methods are slow, expensive, and destructive, the use of NIR calibration curves could be an alternative. The objectives of this project were to determine the variation range in total phenols, condensed tannins, and 3-deoxyanthocyanidin levels in a diverse set of sorghum genotypes and to assess the predictive value of NIR curves to estimate these compounds in sorghum. A calibration curve to estimate each compound was developed and validated with an independent validation set. Calibration curve correlations for total phenols, condensed tannins, and 3-deoxyanthocyanidins were r = 0.98, 0.97, and 0.99, respectively. Correlations between NIR-predicted values and reference values in the validation set were significant for total phenols (r = 0.93), condensed tannins (r = 0.81) and 3-deoxyanthocyanidin (r = 0.82). These indicated that sufficient variation for these compounds existed within sorghum and that NIR calibration curves could be used to rapidly and non-destructively predict total phenols, condensed tannins, and 3-deoxyanthocyanidins concentrations in whole grain sorghum. 相似文献
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普通玉米主要营养品质性状的遗传效应分析 总被引：3，自引：0，他引：3
用13个普通玉米自交系按NCⅡ设计（7×6）研究了普通玉米主要营养品质性状的遗传效应。结果表明，普通玉米主要营养品质性状的遗传受种子二倍体胚、三倍体胚乳、细胞质和二倍体母体植株4套遗传体系的控制；主要品质性状4套遗传体系的效应值之间无太大的差异，蛋白质、淀粉和赖氨酸含量的胚遗传效应全部体现为胚加性遗传效应，而4种品质性状的胚乳遗传效应则全部由胚乳显性遗传效应构成；母体遗传效应主要表现为母体加性效应；遗传效应预测值表明亲本9636、99S2041-1-1-1和478在普通玉米品质改良中可能有一定的应用潜力。结果还发现，不同品质性状间存在不同程度的遗传相关，因此对这些性状进行间接选择或杂种优势利用均可取得一定的效果。 相似文献
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傅里叶变换近红外光谱法检测种子水分和生活力的研究 总被引：3，自引：0，他引：3
采用傅里叶变换近红外光谱法测定玉米、水稻种子的水分和生活力,并用光谱影响值法(Leverage)对异常值进行判断和处理.建立玉米、水稻种子水分、生活力的近红外光谱分析模型,快速地预测玉米、水稻种子的水分、生活力,满足农作物种子质量快速检测、贮藏、育种等的需要. 相似文献
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为了得到可靠的瓶装老陈醋无损的定性预测模型,以山西省不同种类的240个瓶装醋为研究对象采集光谱数据,对原始光谱进行光谱预处理,应用主成分进行降维处理,结合马氏距离判别方法建立定性判别模型。结果表明,校正集和预测集的正确分类结果均达到了100%。实验证明近红外光谱技术可以对瓶装醋直接进行检测,达到了快速、无损的目的。 相似文献