Prediction of browse nutritive attributes in a Pinus radiata D. Don silvopastoral system based on visible-near infrared spectroscopy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Agronomy and Crop Science,Forestry
Link
http://link.springer.com/article/10.1007/s10457-018-0192-z/fulltext.html
Reference38 articles.
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2. Alomar D, Fuchslocher R, Cuevas J, Mardones R, Cuevas E (2009) Prediction of the composition of fresh pastures by near infrared reflectance or interactance-reflectance spectroscopy. Chil J Agric Res 69:198–206. https://doi.org/10.4067/S0718-58392009000200009
3. Ammar H, López S, González JS, Ranilla MJ (2004) Seasonal variations in the chemical composition and in vitro digestibility of some Spanish leguminous shrub species. Anim Feed Sci Technol 107:327–340. https://doi.org/10.1016/j.anifeedsci.2004.03.003
4. Andrés S, Murray I, Calleja A, Giraldez FJ (2005) Nutritive evaluation of forages by near infrared reflectance spectroscopy. J Near Infrared Spectrosc 13:301–311. https://doi.org/10.1255/jnirs.561
5. AOAC (1999) Official methods of analysis of the associations of official agricultural chemists, 16th edn. Gaithersburg, USA, p 1141
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1. A review of the application of near-infrared spectroscopy (NIRS) in forestry;Applied Spectroscopy Reviews;2021-02-11
2. Silvopasture Options for Enhanced Biological Productivity of Degraded Pasture/Grazing Lands: An Overview;Agroforestry for Degraded Landscapes;2020
3. Silvopasture: a sustainable livestock production system;Agroforestry Systems;2019-02
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