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Near-infrared spectroscopy on combine harvesters to measure maize grain dry matter content and quality parameters.

机译:联合收割机上的近红外光谱仪可测量玉米籽粒干物质含量和质量参数。

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摘要

Dry matter (DM) content and quality parameters of maize grain are important traits in breeding of maize hybrids. New developments in near-infrared spectroscopy (NIRS) allow to determine DM content and product quality parameters directly on plot combine harvesters. The main objective of our study was to examine the potential of NIRS on combine harvester (NOCH) for determination of DM, crude protein (CP) and starch (ST) contents in maize grain. Plot combine harvesters equipped with spectrometers were used. Eleven locations were harvested in Europe during 2003 and 2004. The NOCH calibration models were developed with standard error of prediction (SEP) and coefficient of determination for validation (RV2) of 1.2% and 0.95 for DM, 0.3% and 0.88 for CP, and 1.0% and 0.79 for ST, respectively. NOCH is a promising technology for determination of DM, CP and ST contents of maize grain for breeding purposes, because it automates the assessment of each harvested plot, and the information for making selection decision is rapidly available to plan the next generation..
机译:玉米籽粒干物质含量和品质参数是玉米杂交种育种的重要特征。近红外光谱法(NIRS)的新发展可以直接在小区联合收割机上确定DM含量和产品质量参数。我们研究的主要目的是检验NIRS在联合收割机(NOCH)上测定玉米籽粒中DM,粗蛋白(CP)和淀粉(ST)含量的潜力。使用配备有光谱仪的地块联合收割机。 2003年和2004年,欧洲收获了11个地点。开发了NOCH校准模型,其中标准预测误差(SEP)和验证确定系数(RV2)对于DM为1.2%和0.95,对于CP为0.3%和0.88,以及ST分别为1.0%和0.79。 NOCH是用于育种的确定玉米籽粒中DM,CP和ST含量的有前途的技术,因为它可以自动评估每个收获地块,并且可以迅速获得用于选择决策的信息,以计划下一代。

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