Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential

Barley is one of the top five grain crops in Ethiopia, covering approximately 1 million hectares, and is grown for food, animal's feed and industrial purposes. Ethiopian Agricultural Research Institute (EIAR) is also conducting a barley research and breeding program with the aim of improving gr...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Yadesa Abeshu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Barley Malt Traits Near-infrared Calibration Validation Agriculture (General) S1-972 Nutrition. Foods and food supply TX341-641
Acceso en línea:	https://doaj.org/article/e06bae98383f4ae69afcb72b8da24ca8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e06bae98383f4ae69afcb72b8da24ca8
record_format	dspace
spelling	oai:doaj.org-article:e06bae98383f4ae69afcb72b8da24ca82021-11-26T04:40:29ZDevelopment of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential2666-154310.1016/j.jafr.2021.100238https://doaj.org/article/e06bae98383f4ae69afcb72b8da24ca82021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S266615432100140Xhttps://doaj.org/toc/2666-1543Barley is one of the top five grain crops in Ethiopia, covering approximately 1 million hectares, and is grown for food, animal's feed and industrial purposes. Ethiopian Agricultural Research Institute (EIAR) is also conducting a barley research and breeding program with the aim of improving grain yield and resilience through screening lines. Sample materials used for the experiment were taken from 2018, 2019 and 2020 seasons to capture the variation in the growing year. As a result, the spectral data of the samples and the wet chemical data were generated using official international methods. Subsequently, a recalibration based on 280 samples of breeding lines of different genotypes, growing years and locations was developed in order to predict the protein, extract and friability content characteristics of important barley malt parameters. Wet chemical data were collected from processed/malted barley grains. A calibration model was created on the basis of the calibration software OPUS LAB 7.5 from Bruker Optics GmbH. The protein calibration (R2c = 0.90; RPD = 3.8) can be viewed as broadly applicable; the extract content (R2c = 0.88 and RPD = 2.8) and friability (R2c = 0.85 and RPD = 2.7) could be useful as well as a good predictive model for line screening. The calibration model was missing to predict long-range sample sources before the model range was expanded by recalibration process including different sample sources. Therefore, these NIRS models enable the selection of suitable food and malt barley genotypes at wide range. Since NIRS is fast and inexpensive, the barley improvement program can increase selection intensity, especially in the early testing phase. So the best precision of the NIRS recalibration discovered in this study enables to identify top candidate lines with a minimum of errors.Yadesa AbeshuElsevierarticleBarleyMaltTraitsNear-infraredCalibrationValidationAgriculture (General)S1-972Nutrition. Foods and food supplyTX341-641ENJournal of Agriculture and Food Research, Vol 6, Iss , Pp 100238- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Barley Malt Traits Near-infrared Calibration Validation Agriculture (General) S1-972 Nutrition. Foods and food supply TX341-641
spellingShingle	Barley Malt Traits Near-infrared Calibration Validation Agriculture (General) S1-972 Nutrition. Foods and food supply TX341-641 Yadesa Abeshu Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential
description	Barley is one of the top five grain crops in Ethiopia, covering approximately 1 million hectares, and is grown for food, animal's feed and industrial purposes. Ethiopian Agricultural Research Institute (EIAR) is also conducting a barley research and breeding program with the aim of improving grain yield and resilience through screening lines. Sample materials used for the experiment were taken from 2018, 2019 and 2020 seasons to capture the variation in the growing year. As a result, the spectral data of the samples and the wet chemical data were generated using official international methods. Subsequently, a recalibration based on 280 samples of breeding lines of different genotypes, growing years and locations was developed in order to predict the protein, extract and friability content characteristics of important barley malt parameters. Wet chemical data were collected from processed/malted barley grains. A calibration model was created on the basis of the calibration software OPUS LAB 7.5 from Bruker Optics GmbH. The protein calibration (R2c = 0.90; RPD = 3.8) can be viewed as broadly applicable; the extract content (R2c = 0.88 and RPD = 2.8) and friability (R2c = 0.85 and RPD = 2.7) could be useful as well as a good predictive model for line screening. The calibration model was missing to predict long-range sample sources before the model range was expanded by recalibration process including different sample sources. Therefore, these NIRS models enable the selection of suitable food and malt barley genotypes at wide range. Since NIRS is fast and inexpensive, the barley improvement program can increase selection intensity, especially in the early testing phase. So the best precision of the NIRS recalibration discovered in this study enables to identify top candidate lines with a minimum of errors.
format	article
author	Yadesa Abeshu
author_facet	Yadesa Abeshu
author_sort	Yadesa Abeshu
title	Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential
title_short	Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential
title_full	Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential
title_fullStr	Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential
title_full_unstemmed	Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential
title_sort	development of nirs re-calibration model for ethiopian barley (hordeum vulgare) lines traits to determine their brewing potential
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e06bae98383f4ae69afcb72b8da24ca8
work_keys_str_mv	AT yadesaabeshu developmentofnirsrecalibrationmodelforethiopianbarleyhordeumvulgarelinestraitstodeterminetheirbrewingpotential
_version_	1718409813130477568

Development of NIRS re-calibration model for ethiopian barley (Hordeum vulgare) lines traits to determine their brewing potential

Ejemplares similares