Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections
Brachiaria humidicola (BH) (syn. Urochloa humidicola ) is an important forage grass in the tropics due to its capacity to grow in nutrient‐deficient soils, tolerate waterlogging, and inhibit soil nitrification. A major objective of BH breeding is to improve its nutritional quality. Therefore, a rapi...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/108738 |
| _version_ | 1855521065792438272 |
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| author | Mazabel, Johanna Worthington, Margaret Castiblanco, Valheria Peters, Michael Arango, Jacobo |
| author_browse | Arango, Jacobo Castiblanco, Valheria Mazabel, Johanna Peters, Michael Worthington, Margaret |
| author_facet | Mazabel, Johanna Worthington, Margaret Castiblanco, Valheria Peters, Michael Arango, Jacobo |
| author_sort | Mazabel, Johanna |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Brachiaria humidicola (BH) (syn. Urochloa humidicola ) is an important forage grass in the tropics due to its capacity to grow in nutrient‐deficient soils, tolerate waterlogging, and inhibit soil nitrification. A major objective of BH breeding is to improve its nutritional quality. Therefore, a rapid and low‐cost method is needed to assess main quality parameters such as neutral detergent fiber (NDF), acid detergent fiber (ADF), in vitro dry matter digestibility (IVDMD), and crude protein (CP). This study developed models using near infrared reflectance spectroscopy (NIRS) to predict concentrations of these parameters toward breeding. Samples were collected from BH trials located in different regions of Colombia, scanned for NIRS (400–2,500 nm), analyzed with wet chemistry as reference values, and used to build the chemometric models. Results from wet chemistry showed wide variability in terms of dry matter percentage for NDF (51.6–76.2%), ADF (26.1–46.1%), IVDMD (41.5–78.3%), and CP (2.8–12.8%). The NIRS models were validated using an independent set of samples and have coefficients of determination (R 2) and one minus the variance ratio (1 – VR) values in the range of .9 and .95, suggesting a good correlation between reference‐lab and NIRS‐predicted values. The standard errors of cross validation (SECV) for IVDM, NDF, ADF, and CP were 1.59, 1.18, 0.74, and 0.53%, respectively. Prediction efficiency (ratio of performance to standard deviation, RPD) for all parameters was above 3.0, except for CP (2.6). Calibrations obtained present an adequate adjustment and predictive tendency, making them suitable for selection and BH breeding. |
| format | Journal Article |
| id | CGSpace108738 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1087382025-11-11T17:46:23Z Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections Mazabel, Johanna Worthington, Margaret Castiblanco, Valheria Peters, Michael Arango, Jacobo brachiaria gambutera breeding mejora brachiaria humidicola soil suelo livestock ganado Brachiaria humidicola (BH) (syn. Urochloa humidicola ) is an important forage grass in the tropics due to its capacity to grow in nutrient‐deficient soils, tolerate waterlogging, and inhibit soil nitrification. A major objective of BH breeding is to improve its nutritional quality. Therefore, a rapid and low‐cost method is needed to assess main quality parameters such as neutral detergent fiber (NDF), acid detergent fiber (ADF), in vitro dry matter digestibility (IVDMD), and crude protein (CP). This study developed models using near infrared reflectance spectroscopy (NIRS) to predict concentrations of these parameters toward breeding. Samples were collected from BH trials located in different regions of Colombia, scanned for NIRS (400–2,500 nm), analyzed with wet chemistry as reference values, and used to build the chemometric models. Results from wet chemistry showed wide variability in terms of dry matter percentage for NDF (51.6–76.2%), ADF (26.1–46.1%), IVDMD (41.5–78.3%), and CP (2.8–12.8%). The NIRS models were validated using an independent set of samples and have coefficients of determination (R 2) and one minus the variance ratio (1 – VR) values in the range of .9 and .95, suggesting a good correlation between reference‐lab and NIRS‐predicted values. The standard errors of cross validation (SECV) for IVDM, NDF, ADF, and CP were 1.59, 1.18, 0.74, and 0.53%, respectively. Prediction efficiency (ratio of performance to standard deviation, RPD) for all parameters was above 3.0, except for CP (2.6). Calibrations obtained present an adequate adjustment and predictive tendency, making them suitable for selection and BH breeding. 2020-01 2020-07-10T16:44:01Z 2020-07-10T16:44:01Z Journal Article https://hdl.handle.net/10568/108738 en Open Access application/pdf Wiley Mazabel, J.; Worthington, M.; Castiblanco, V.; Peters, M.; Arango, J. (2020) Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections. Agrosystems, Geosciences and Environment 3:e20070. ISSN: 2639-6696. |
| spellingShingle | brachiaria gambutera breeding mejora brachiaria humidicola soil suelo livestock ganado Mazabel, Johanna Worthington, Margaret Castiblanco, Valheria Peters, Michael Arango, Jacobo Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections |
| title | Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections |
| title_full | Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections |
| title_fullStr | Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections |
| title_full_unstemmed | Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections |
| title_short | Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections |
| title_sort | using near infrared reflectance spectroscopy for estimating nutritional quality of brachiaria humidicola in breeding selections |
| topic | brachiaria gambutera breeding mejora brachiaria humidicola soil suelo livestock ganado |
| url | https://hdl.handle.net/10568/108738 |
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