Tools
Tools
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.
|
Text
1503860_Alkhtib.pdf - Published version Download (238kB) | Preview |
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: |
|
||||||
| 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: | https://irep.ntu.ac.uk/id/eprint/45135 |
Actions (login required)
 |
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year
