Optimizing near infrared reflectance spectroscopy to predict nutritional quality of chickpea straw for livestock feeding

Alemu, T., Wamatu, J., Tolera, A., Beyan, M., Eshete, M., Alkhtib, A. ORCID: 0000-0002-3381-0304 and Rischkowsky, B., 2021. Optimizing near infrared reflectance spectroscopy to predict nutritional quality of chickpea straw for livestock feeding. Animals, 11 (12): 3409.

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Abstract

Multidimensional improvement programs of chickpea require screening of a large number of genotypes for straw nutritive value. The ability of near infrared reflectance spectroscopy (NIRS) to determine the nutritive value of chickpea straw was identified in the current study. A total of 480 samples of chickpea straw representing a nation-wide range of environments and genotypic diversity (40 genotypes) were scanned at a spectral range of 1108 to 2492 nm. The samples were reduced to 190 representative samples based on the spectral data then divided into a calibration set (160 samples) and a cross-validation set (30 samples). All 190 samples were analysed for dry matter, ash, crude protein, neutral detergent fibre, acid detergent fibre, acid detergent lignin, Zn, Mn, Ca, Mg, Fe, P, and in vitro gas production metabolizable energy using conventional methods. Multiple regression analysis was used to build the prediction equations. The prediction equation generated by the study accurately predicted the nutritive value of chickpea straw (R2 of cross validation > 0.68; standard error of prediction < 1%). Breeding programs targeting improving food-feed traits of chickpea could use NIRS as a fast, cheap, and reliable tool to screen genotypes for straw nutritional quality.

Item Type: Journal article
Publication Title: Animals
Creators: Alemu, T., Wamatu, J., Tolera, A., Beyan, M., Eshete, M., Alkhtib, A. and Rischkowsky, B.
Publisher: MDPI AG
Date: 29 November 2021
Volume: 11
Number: 12
Identifiers:
NumberType
10.3390/ani11123409DOI
1503860Other
Rights: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Divisions: Schools > School of Animal, Rural and Environmental Sciences
Record created by: Linda Sullivan
Date Added: 15 Dec 2021 16:51
Last Modified: 15 Dec 2021 16:51
URI: http://irep.ntu.ac.uk/id/eprint/45135

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