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首页> 外文期刊>American Journal of Potato Research >Prediction of Sprouting Capacity Using Near-infrared Spectroscopy in Potato Tubers
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Prediction of Sprouting Capacity Using Near-infrared Spectroscopy in Potato Tubers

机译:利用近红外光谱法预测马铃薯块茎的发芽能力

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The potential of near infra-red spectroscopy (NIRS) for predicting the sprouting capacity of potato (Solanum tuberosum L.) tubers was investigated. The experiment was conducted for 2 years using ‘Superior’ and ‘Atlantic’ potatoes. A total of 380 potato tubers (200, Superior; 180, Atlantic) weighing 100–200 g were scanned by NIRS, and the sample sets were divided into four groups; three groups were classified based on the cultivars or years as follows: ‘Superior’, 2004; ‘Superior’, 2005; ‘Atlantic’, 2005; the fourth group contained the total number of samples. The reference value for the sprouting capacities was measured by determining the sprout weight after 30 days of incubation at 20°C. The first derivative transformation equation for raw optical data was standardized by applying standard normal variate (SNV) and detrending (DT) algorithms, and calibration equations between them were developed by modified partial least square (MPLS) regression. The coefficient of determination (r 2) ranged from 0.868 to 0.965 with a standard error of calibration (SEC) from 0.31 to 0.40 for the calibration sets; r 2 ranged from 0.724 to 0.904 with a standard error of prediction (SEP) from 0.532 to 0.602 for the four validation sets. These results indicate that the calibration model obtained from this experiment is applicable to all the different cultivars for different years, and the NIRS method is a powerful tool for the predictive assessment of the sprouting capacity of potato tubers.
机译:研究了近红外光谱法(NIRS)预测马铃薯(Solanum tuberosum L.)块茎发芽能力的潜力。该实验使用“高级”和“大西洋”土豆进行了2年。通过NIRS扫描了总共380份重100–200 g的马铃薯块茎(200个,Superior; 180个,大西洋),并将样品集分为四组;第二组为4组。根据品种或年份将三组分类如下:“ Superior”(2004年); “高级”,2005年; 《大西洋》,2005年;第四组包含样本总数。发芽能力的参考值是通过在20°C下孵育30天后测定发芽重量来测量的。应用标准正态变量(SNV)和去趋势(DT)算法对原始光学数据的一阶导数变换方程进行了标准化,并通过改进的偏最小二乘(MPLS)回归建立了它们之间的校准方程。确定系数(r 2 )的范围为0.868至0.965,其中校准集的标准校准误差(SEC)为0.31至0.40;对于四个验证集,r 2 的范围为0.724至0.904,标准预测误差(SEP)为0.532至0.602。这些结果表明,从该实验获得的校准模型适用于不同年份的所有不同品种,而NIRS方法是预测马铃薯块茎发芽能力的有力工具。

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