Application of near Infrared Spectroscopy on-Combine for Canola Breeding

Abstract

Oil yield and agronomic properties are the most important targets for canola breeders ( Brassica napus L.) in northern Europe. In order to enhance Pioneer's canola oil yield breeding efforts, oil content was measured with near infrared (NIR) spectroscopy directly on a harvester (NIR spectroscopy on-combine) and, in addition, moisture, protein and glucosinolate content were determined. NIR spectroscopy, coupled with rapid harvesting, can significantly improve the quality and speed of oil yield determinations so they occur within a very narrow harvest time window. Moisture, oil, protein and glucosinolate calibrations were developed with 449 samples from the 2004 to 2005 harvests, comprising spectra from four diode array NIR spectrometers mounted on-combine. Applying these calibrations to an independent dataset from the 2006 harvest resulted in standard errors of prediction ( SEP) and coefficients of determination ( r2) of 0.41% and 0.93 for moisture, 0.7% and 0.84 for oil, 0.61% and 0.81 for protein, 4.0% and 0.22 for glucosinolates, respectively. Combining calibrations generated from the four instruments gave optimal predictions. Omitting data from any instrument decreased accuracy and precision, although dropping each instrument had a different effect on the measured values of the constituents. Each instrument produced very similar moisture and constituent predictions with a common sample set as indicated by high r2 and, thus, very similar ranking properties. Analysis of variance with the on-combine determinations led to lower residual variance for oil and similar variance for protein compared to those obtained with classical methods of sampling and laboratory NIR analyses. In summary, the results demonstrate that NIR spectroscopy on-combine is very promising to enhance breeding canola for higher oil yield.

In-Stream Measurement of Canola (Brassica Napus L.) Seed Oil Concentration Using in-line near Infrared Reflectance Spectroscopy

“…Other studies have described a lower ability of in-line NIR spectroscopy to estimate seed oil concentration in rapeseed. 20,21 This difference may be due to different ranges in reference values, these being narrower in the other studies. In Table 3.…”

“…Measurement accuracies of ≤0.9% (9.0 g kg −1 ) have been achieved for oil content in rapeseed when directly measured on a combine harvester with use of diode array spectrometers. 20,21 These results were sufficiently promising to suggest that in-line NIR spectroscopy might be used as a rapid screening tool on a combine harvester, thereby enhancing breeding efforts for higher seed oil yield.…”

The Brewing Industry and the Opportunities for Real-Time Quality Analysis Using Infrared Spectroscopy

“…Until the last few years, when a farmer delivered a sample to a grain handling depot, that was the first time barley passed through an NIR. However, recent developments have seen NIR installed on grain harvesters for real time predictions of protein and moisture, coupled with yield data [4,5]. This allows farmers on broad-acre farms to have an understanding of the protein content within and between each paddock and potentially allow the farmer to exclude high protein grain accordingly.…”

Nondestructive analysis of single plant canola (Brassica napus) seeds using near infra-red spectroscopy.

“…Therefore, DA-NIRS ensures greater accuracy and a short analysis time compared to conventional spectrometers. Although with these benefits, the scientific literature documenting the use of DA-NIRS for the compositional analysis of agricultural crops is limited Niewitetzki et al 2010;Welle et al 2005;Welle et al 2007).…”