Models for estimating nutrition quality of Urochloa humidicola using near infrared reflectance spectroscopy
| dc.creator | Mazabel, Johanna | |
| dc.creator | Worthington, Margaret | |
| dc.creator | Castiblanco, Valheria | |
| dc.creator | Miles, John W. | |
| dc.creator | Arango, Jacobo | |
| dc.date | 2019 | |
| dc.date | 2019-04-22T18:05:54Z | |
| dc.date | 2019-04-22T18:05:54Z | |
| dc.date.accessioned | 2026-06-27T14:28:07Z | |
| dc.description | Breeding forage crops requires a genetic evolution to optimize the agronomic and compositional characteristics of the new hybrids. As a dynamic process, it is necessary to evaluate with precision and speed the parameters that determine the nutritional quality, in particular the contents of digestibility and fibers. Near infrared reflectance spectroscopy (NIRS) offers a low cost-effective alternative to measure these parameters. | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/100871 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/79069 | |
| dc.language | en | |
| dc.publisher | International Center for Tropical Agriculture | |
| dc.rights | Open Access | |
| dc.source | Mazabel J; Worthington M; Castiblanco V; Miles J; Arango J. 2019. Models for estimating nutrition quality of Urochloa humidicola using near infrared reflectance spectroscopy. In: International Forage & Turf Breeding Conference 24-27 March 2019, Lake Buena Vista, FL, USA. 1p. | |
| dc.subject | forage | |
| dc.subject | breeding | |
| dc.title | Models for estimating nutrition quality of Urochloa humidicola using near infrared reflectance spectroscopy | |
| dc.type | Poster |