Volume 14, Issue 1 (4-2020)
مرتع 2020, 14(1): 12-24 |
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Arzani H, Tarnian F, Motamedi J, Shirmardi H, Aghajanloo F, Saedi K et al . Evaluation of macro elements in forb’s species using near infrared reflectance spectroscopy. مرتع 2020; 14 (1) :12-24
URL: http://rangelandsrm.ir/article-1-862-en.html
URL: http://rangelandsrm.ir/article-1-862-en.html
Hossein Arzani 
, Farajollah Tarnian , Javad Motamedi , Hamzali Shirmardi , Farhad Aghajanloo , Kazem Saedi , Mohamadreza Najibzadeh
, Farajollah Tarnian , Javad Motamedi , Hamzali Shirmardi , Farhad Aghajanloo , Kazem Saedi , Mohamadreza Najibzadeh
Department of Range and Watershed Management, Faculty of Agricultre and natural resource, Lorestan University, Khoramabad
Abstract: (3339 Views)
Near infrared reflectance spectroscopy is an advanced method used as a substitute to old methods of analysing forage nutritive value. The objective of this study was to folded, investigate the possibility of quick evaluation of macro elements (such as Ca, Mg, P, Na and K), and to evaluate corresponding models by using near infrared reflectance spectroscopy. At the first, the minerals of 300 forb samples were measured at laboratory and then grinded plant samples were scanned by NIR set. We used the Unscrambler software to derive the regression models (Partial least squares type1) and the best calibration model were obtained according to R2 and standard error of calibration. The best models were Y= 0.99X for K with R2= 0.99 and SEC= 0.004, and Y= 2.06+0.84X for Ca with R2= 0.84 and SEC= 2.22, and Y= 1.60+0.69X for Mg with R2= 0.69 and SEC= 1.6, and Y= 0.26+0.87X for P with R2= 0.87 and SEC= 0.31, and finally Y= 0.85+0.85X for Na with R2= 0.84 and SEC= 0.91. Results indicated that the models of Ca and K had a good accuracy and we can also use the P model for estimating of raw data by NIRS. It seems that the Mg and Na models doesn’t have acceptable accuracy.
Type of Study: Research |
Subject:
Special
Received: 2020/04/30 | Accepted: 2020/04/30 | Published: 2020/04/30
Received: 2020/04/30 | Accepted: 2020/04/30 | Published: 2020/04/30
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