<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">GARCIACRIADO, B</style></author><author><style face="normal" font="default" size="100%">GARCIACIUDAD, A</style></author><author><style face="normal" font="default" size="100%">PEREZCORONA, M E</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">PREDICTION OF BOTANICAL COMPOSITION IN GRASSLAND HERBAGE SAMPLES BY NEAR-INFRARED REFLECTANCE SPECTROSCOPY</style></title><secondary-title><style face="normal" font="default" size="100%">JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">BOTANICAL COMPOSITION</style></keyword><keyword><style  face="normal" font="default" size="100%">grassland</style></keyword><keyword><style  face="normal" font="default" size="100%">NEAR</style></keyword><keyword><style  face="normal" font="default" size="100%">prediction</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1991</style></year></dates><publisher><style face="normal" font="default" size="100%">JOHN WILEY &amp; SONS LTD</style></publisher><pub-location><style face="normal" font="default" size="100%">BAFFINS LANE CHICHESTER, W SUSSEX, ENGLAND PO19 1UD</style></pub-location><volume><style face="normal" font="default" size="100%">57</style></volume><pages><style face="normal" font="default" size="100%">507-515</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Near infrared reflectance spectroscopy (NIRS) was evaluated as a method&lt;br/&gt;to predict the botanical composition of seminatural grassland in&lt;br/&gt;`dehesa' systems. Samples of herbaceous biomass were harvested over&lt;br/&gt;four consecutive years, determining in each-by manual separation-the&lt;br/&gt;proportion by weight of the following taxonomic groups: grasses,&lt;br/&gt;legumes and the rest of the families in a single block ('others'). &lt;br/&gt;After reconstructing the natural samples they were analysed by NIRS. &lt;br/&gt;One set of samples (calibration set) was selected for the development of&lt;br/&gt;the equations, assaying different mathematical treatments (log 1/R,&lt;br/&gt;first derivative and second derivative). The ranges of coefficients of&lt;br/&gt;multiple determination and standard errors of calibration, respectively,&lt;br/&gt;for the various components were: grasses, 0.86 to 0.92 and 6.66 to&lt;br/&gt;9.14; legumes, 0.77 to 0.81 and 6.82 to 7.43; and `others', 0.85 to 0.88&lt;br/&gt;and 8.17 to 9.54. The remaining samples not included in the development&lt;br/&gt;of the NIRS equations (prediction set) were used for the purposes of&lt;br/&gt;validating the best equations. Standard errors of performance were: &lt;br/&gt;grasses, 6.12; legumes, 7.56 and `others', 7.70.</style></abstract></record></records></xml>