Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy

Author:

Stuth Jerry,Jama Abdi,Tolleson Doug

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science

Reference68 articles.

1. Evaluation of near-infrared reflectance spectroscopy for predicting stover quality trait in semi-exotic populations of maize;Albanell;J. Sci. Food Agric.,1995

2. A note on prediction of maize stover quality by near-infrared reflectance spectroscopy (NIRS) technique;Albanell;J. Anim. Feed Sci.,1997

3. Application of near infrared reflectance spectroscopy to forage analysis and prediction of TDN contents;Amari;JARQ,1997

4. Awuma, K., 2003. Application of NIRS fecal profiling and geo-statistics to predict diet quality of African livestock. Ph.D. Dissertation. Texas A&M University, College Station, TX, USA.

5. Prediction of organic matter digestibility in vivo of grass silage by near infrared reflectance spectroscopy: effect of calibration method, residual moisture and particle size;Baker;Anim. Feed Sci. Technol.,1994

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