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Use of near infrared reflectance spectroscopy for the determination of silica content in tall fescue

机译:近红外反射光谱法测定高型FESCUE中的二氧化硅含量

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Major disadvantages of using tall fescue as forage grass are its low digestibility and animal voluntary intake. One of the factors explaining this is the high silica content of tall fescue in comparison with other forage grass species. Therefore, we evaluated the possibility to use NIRS on grass samples to predict the silica content. In 2014, we collected 297 samples on four different trials with tall fescue. These samples were analysed by wet chemistry for silica content, the NIRS spectra were recorded and a calibration model was built. In 2015, forage samples of 25 genotypes in a breeding nursery were collected and used for validation of the calibration equation. The mean silica content in this sample was 0.56% with a standard deviation of 0.14%.The validation statistics indicated that prediction of the silica content for this independent validation sample was good (SEP 0.063%; R2= 82.2%). The large variation in silica content found within the tall fescue genotypes and the ease of prediction using NIRS are a good basis for selecting tall fescue varieties with lower silica content.
机译:使用高菲舍斯作为饲料草的主要缺点是其低消化率和动物自愿摄入量。解释这一致的一个因素是与其他牧草种类相比,高杂交的高二氧化硅含量。因此,我们评估了在草地上使用NIR以预测二氧化硅含量的可能性。 2014年,我们收集了297名不同试验的样本,高杂散。通过湿化学对二氧化硅含量进行分析这些样品,记录了NIRS光谱并建造了校准模型。 2015年,收集了25种基因型的牧草样品被收集并用于验证校准方程。该样品中的平均二氧化硅含量为0.56%,标准差为0.14%。验证统计表明,这种独立验证样品的二氧化硅含量的预测良好(9063%; R2 = 82.2%)。在高缺陷基因型内发现的二氧化硅含量的大变化和使用鼻内的预测的易于预测是选择具有较低二氧化硅含量的高型Fescue品种的良好基础。

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