| dc.creator | Garcia,Jaime | |
| dc.creator | Cozzolino,Daniel | |
| dc.date | 2006-03-01 | |
| dc.date.accessioned | 2017-03-07T15:35:51Z | |
| dc.date.available | 2017-03-07T15:35:51Z | |
| dc.identifier | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0365-28072006000100005 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/387840 | |
| dc.description | The objective of the study was to evaluate the potential of near infrared reflectance (NIR) spectroscopy as a rapid method to predict the chemical composition of forage in broad-based calibration models. In total, 650 samples representing a wide range of chemical characteristics, phenological states and origins were scanned in an NIR instrument. The coefficient of determination in calibration (R²) and standard error in cross validation (SECV) for the NIR calibration models were as follows: dry matter 0.95 (SECV: 0.7%), crude protein 0.98 (SECV: 0.98%), ash 0.90 (SECV: 0.99%), in vitro organic matter digestibility 0.90 (SECV: 3.6%), acid detergent fiber 0.95 (SECV: 2.0%) and neutral detergent fiber 0.86 (SECV: 5.4%) on a dry matter basis. The results demonstrated the potential of NIR to predict the chemical composition of different forage plant species ; however, it is suggested that the technique could be used as a routine procedure to apply in breeding programs only if calibration is done for each species, season and particular conditions. | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Instituto de Investigaciones Agropecuarias, INIA | |
| dc.source | Agricultura Técnica v.66 n.1 2006 | |
| dc.subject | forage quality | |
| dc.subject | NIR | |
| dc.subject | chemical composition | |
| dc.subject | near infrared analysis | |
| dc.title | Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models | |
| dc.type | Artículos de revistas | |
