Development of nondestructive screening methods for single kernel characterization of wheat
Development of nondestructive screening methods for single kernel characterization of wheat
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DOI：
10.1094/cchem.2003.80.3.274
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发表时间：
2003-05-01
期刊：
影响因子：
2.4
通讯作者：
Munck, L
中科院分区：
文献类型：
--
作者：
Nielsen, JP;Pedersen, DK;Munck, L
对欧洲小麦单粒蛋白质、玻璃度、密度和硬度指数的无损筛选方法进行了研究。一个单一的内核程序，涉及图像分析，近红外透射（NIT）光谱，实验室密度测定，单核表征系统（SKCS），最后凯氏定氮法蛋白质测定粉碎的单核。单粒NIT光谱显示出优异的测定蛋白质含量的能力，并且具有测定单粒玻璃度的能力。无论是基于NIT光谱还是基于图像分析和籽粒重量的单粒密度无损测定，都需要进一步改进以用于实际应用。在NIT预测中使用SKCS硬度指数作为真正的单个内核硬度参考。模型导致预测性差。然而，通过应用平均方法，其中数学模拟单个种子重复测量，实现了非常好的NIT预测模型。这表明，单种子NIT光谱包含硬度信息，但需要具有更高精度的单种子硬度方法来实现单籽粒硬度的良好NIT预测模型。
The development of nondestructive screening methods for single seed protein, vitreousness, density, and hardness index has been studied for single kernels of European wheat. A single kernel procedure was applied involving, image analysis, near-infrared transmittance (NIT) spectroscopy, laboratory density determination, single kernel characterization system (SKCS), and finally Kjeldahl protein determination on the crushed single kernels. Single kernel NIT spectroscopy showed excellent ability to determine protein content, and some ability for determination of single kernel vitreousness. Nondestructive determination of single kernel density, either based on NIT spectroscopy or based on image analysis and kernel weight, needs to be further improved for practical use. The use of SKCS hardness index as a true single kernel hardness reference in a NIT prediction. model resulted in a poor predictability. However, by applying an averaging approach, in which single seed replicate measurements are mathematically simulated, a very good NIT prediction model was achieved. This suggests that the single seed NIT spectra contain hardness information, but that a single seed hardness method with higher accuracy is needed to achieve a good NIT prediction model for single kernel hardness.