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      مشاهده مورد 
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • International Journal of Plant Production
      • Volume 4, Issue 4
      • مشاهده مورد
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • International Journal of Plant Production
      • Volume 4, Issue 4
      • مشاهده مورد
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      Development of near infrared reflectance spectroscopy (NIRS) calibration model for estimation of oil content in a worldwide safflower germplasm collection

      (ندگان)پدیدآور
      Elfadl, E.Reinbrecht, C.Claupein, W.
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      اندازه فایل: 
      125.1کیلوبایت
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      نوع مدرک
      Text
      Research Paper
      زبان مدرک
      English
      نمایش کامل رکورد
      چکیده
      The development of NIRS calibration model as a rapid, precise, robust, and cost-effective method to estimate oil content in ground seeds of worldwide safflower germplasm collection grown under different agro-climatic conditions was the key objective of this research project. The oil content was measured by accelerated solvent extraction method in a total of 328 samples collected across 2004 (165 samples) and 2005 (163) growing seasons and used as reference values. Two thirds of the measured samples were used for building the calibrations and one third for the validations. Combined and annual calibration and validation models were carried out by NIRCal 4.21 using the partial least squares (PLS) regression. Different data pretreatments such as full multiplicative scatter correction (MSC), first derivative or smoothing way of Savitzky-Golay with a gap of 9 data points were used to improve the calibration models. The optimum PLS factors for developing the best calibration were 12, 10, and 14 for combined model, annual model of 2004 and of 2005, respectively. In combined and annual models, the statistical parameters in calibration model were consistent with the respective parameters in validation model. Coefficient of variation (15.5 to 25.1) demonstrated high variability in calibration and validation models. The standard error of estimation (SEE) and standard error of prediction (SEP) for combined model were 1.40 and 1.43, respectively. Although the quality value (Q-value) of calibration was slightly higher in annual models (0.66 for both), the combined calibration model (0.64) precisely predicted oil content as indicated by higher coefficient of determination (0.90) and RPD (3.2%) compared to annual calibration. The accuracy and precision of the combined calibration model were sufficient to use NIRS as a tool for screening of oil content in a diverse safflower germplasm in the range obtained.
      کلید واژگان
      safflower
      Oil content
      Near-infrared spectroscopy
      Calibration
      validation

      شماره نشریه
      4
      تاریخ نشر
      2012-10-01
      1391-07-10
      ناشر
      Gorgan University of Agricultural Sciences
      سازمان پدید آورنده
      Institute of Crop Sciences, University of Hohenheim, Fruwirthstr. 23, 70593 Stuttgart, Germany.
      PflanzenzuchtSaKa GbR, Dorfstrasse 39, D-17495, Germany.
      Institute of Crop Sciences, University of Hohenheim, Fruwirthstr. 23, 70593 Stuttgart, Germany.

      شاپا
      1735-6814
      1735-8043
      URI
      https://dx.doi.org/10.22069/ijpp.2012.709
      http://ijpp.gau.ac.ir/article_709.html
      https://iranjournals.nlai.ir/handle/123456789/315664

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