Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding
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...
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MDPI AG
2021-11-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/11/12/3409 |
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| author | Tena Alemu Jane Wamatu Adugna Tolera Mohammed Beyan Million Eshete Ashraf Alkhtib Barbara Rischkowsky |
| author_facet | Tena Alemu Jane Wamatu Adugna Tolera Mohammed Beyan Million Eshete Ashraf Alkhtib Barbara Rischkowsky |
| author_sort | Tena Alemu |
| collection | DOAJ |
| description | 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 (R<sup>2</sup> 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. |
| first_indexed | 2024-03-10T04:40:02Z |
| format | Article |
| id | doaj.art-dfb4abb91ce543119ba24e108123b05a |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-10T04:40:02Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
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| spelling | doaj.art-dfb4abb91ce543119ba24e108123b05a2023-11-23T03:26:31ZengMDPI AGAnimals2076-26152021-11-011112340910.3390/ani11123409Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock FeedingTena Alemu0Jane Wamatu1Adugna Tolera2Mohammed Beyan3Million Eshete4Ashraf Alkhtib5Barbara Rischkowsky6Department of Animal and Range Sciences, Hawassa College of Agriculture, Hawassa University, Hawassa P.O. Box 5, EthiopiaInternational Centre for Agricultural Research in Dry Areas, Addis Ababa P.O. Box 5689, EthiopiaDepartment of Animal and Range Sciences, Hawassa College of Agriculture, Hawassa University, Hawassa P.O. Box 5, EthiopiaDepartment of Animal and Range Sciences, Hawassa College of Agriculture, Hawassa University, Hawassa P.O. Box 5, EthiopiaDepartment of Plant Science/Plant Breeding, Ethiopian Institute of Agricultural Research, Addis Ababa P.O. Box 2003, EthiopiaSchool of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus, Southwell, Nottinghamshire NG25 0QF, UKInternational Centre for Agricultural Research in Dry Areas, Addis Ababa P.O. Box 5689, EthiopiaMultidimensional 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 (R<sup>2</sup> 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.https://www.mdpi.com/2076-2615/11/12/3409calibrationvalidationprediction errornutritional qualitycrop residueNIRS |
| spellingShingle | Tena Alemu Jane Wamatu Adugna Tolera Mohammed Beyan Million Eshete Ashraf Alkhtib Barbara Rischkowsky Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding Animals calibration validation prediction error nutritional quality crop residue NIRS |
| title | Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding |
| title_full | Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding |
| title_fullStr | Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding |
| title_full_unstemmed | Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding |
| title_short | Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding |
| title_sort | optimizing near infrared reflectance spectroscopy to predict nutritional quality of chickpea straw for livestock feeding |
| topic | calibration validation prediction error nutritional quality crop residue NIRS |
| url | https://www.mdpi.com/2076-2615/11/12/3409 |
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