Developing Calibration Model for Prediction of Malt Barley Genotypes Quality Traits using Fourier Transform near Infrared Spectroscopy

Abstract

Ethiopia is the second largest barley producer in Africa. But the quality traits are always influenced by the cultivar itself and growing environment. Thus, the study was targeted on developing calibration model for predicting malt barley quality traits of genotypes grown at different locations using near infra-red spectroscopy for selection purposes in barley breeding program. For this purpose, 60 barley samples were collected from Holeta, Debre-Birhan and Bekoji. Samples were chemically analyzed in duplicate for 5 barley traits. The calibration model was developed based on 120 samples spectral data and 60 chemistry data results using the calibration software of the FT-Near Infrared Spectroscopy. The barley Protein calibration model having (R²c= 0.97; RPD=5.7 and R 2 c=0.94; RPD=4.16) respectively, can be regarded as broadly applicable; Extract and Friability (R²c= 0.96; RPD=4.54 and R 2 c=0.95; RPD=4.36) respectively were accepted as useable with good prediction capability; whereas β-Glucan calibration model (R²c= 0.90; RPD=3.18) allowed only for screening purpose in some applications. Barley grain dry matter with model parameters result (R 2 c=0.86; RPD=2.69)shown usable with caution only for rough screening purposes. Hence near infrared spectroscopy is fast and cost-efficient, the breeding program can increase the intensity of variety selection using calibration models reflected good predicting performances except models for dry matter and β-glucan.

NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals

“…For the predictions of organic grain composition from NIR spectral reflectance, deterministic methods have been widely used (e.g., MLR, PCR, and PLS regression [ 15 , 16 , 17 , 18 , 19 , 20 , 25 ]). These methods were mostly specific to a single species [ 26 , 27 , 28 , 29 , 30 , 31 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 ]. The adoption of ML methods in NIR spectroscopy research has quite recently begun, together with the increasing availability of computing power and efficient learning algorithms [ 34 , 37 , 118 ].…”

“…In the case of the cereal-based food and feed industry [ 25 , 42 , 43 ], benchtop NIRS systems with calibrations based on single-cereal species are routinely utilized—rice [ 26 , 28 , 30 , 32 , 36 , 40 , 44 , 45 , 46 , 47 , 48 ], sorghum [ 43 , 49 , 50 ], wheat [ 27 , 51 , 52 , 53 , 54 , 55 ], corn [ 31 , 53 , 56 , 57 , 58 , 59 , 60 ], and barley [ 53 , 61 , 62 , 63 ]. These typically use a large number of single-species samples from different environments representing a relevant range of target trait variability [ 3 , 52 , 64 , 65 , 66 , 67 , 68 , 69 ].…”

Random Amplified Polymorphic DNA profiling in detecting genetic variation in Malva L. species: edible and medicinal plants

“…Given the complexity, it is necessary to explore other methods that could complement the traditional taxonomical approach (Erbano et al 2015). Advent and developments in molecular techniques have enabled plant taxonomists to utilize molecular protocols to study plant groups (Erbano et al 2015;Abeshu & Zewdu 2020.;Amar et al 2021;Beltran et al 2021). We examined genetic diversity in Malva by morphological and molecular methods (Das et al 2021;Gutierrez-Pacheco et al 2021;Hindersah et al 2021;Jordaan & Rooyen et al 2021).…”

Assessment of Genetic Variation of Genus Paracaryum (Boraginaceae) By Rapd Markers

“…These were dried with silica gel powder. To obtain genomic DNA, the CTAB-activated charcoal protocol was used Abeshu & Zewdu (2020). The quality of extracted DNA was examined by running on 0.8% agarose gel.…”