scholarly journals Prediction of the nutritive value of maize silage usingin vitroand near infrared reflectance spectroscopy (NIRS) techniques

2005 ◽  
Vol 4 (sup2) ◽  
pp. 144-146
Author(s):  
L. Rapetti ◽  
G.M. Crovetto ◽  
N. Rizzi ◽  
D. Colombo ◽  
G. Galassi
Keyword(s):  
Nutritive Value ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Maize Silage ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy

Predicting maize silage starch degradability by near infrared reflectance spectroscopy

2003 ◽  
Vol 2003 ◽  
pp. 50-50 ◽  
Author(s):  
D.K. Lovett ◽  
E.R. Deaville ◽  
D.I. Givens ◽  
E. Owen
Keyword(s):  
Nutritive Value ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Maize Silage ◽  
Near Infrared Reflectance Spectroscopy ◽  
Limited Sample ◽  
Near Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy

Maize silage consists of a starch and a fibrous fraction, both of which should be considered when assessing nutritive value. The in vitro evaluation of starch disappearance is laborious and costly. The near infrared reflectance spectroscopy (NIRS) technique requires limited sample preparation and is quick to operate once a calibration is established. This study investigated the potential of NIRS to predict maize starch disappearance in vitro.

The use of near infrared reflectance spectroscopy (NIRS) to predict the nutritive value of standard commercial diets for post-weaned pigs

2009 ◽  
Vol 2009 ◽  
pp. 108-108
Author(s):  
M E E McCann ◽  
R Park ◽  
M J Hutchinson ◽  
B Owens ◽  
V E Beattie
Keyword(s):  
Nutritive Value ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Feed Ingredients ◽  
Infrared Reflectance Spectroscopy ◽  
Whole Wheat ◽  
Complete Diet

In order to assess the nutritive value of pig diets, performance and digestibility trials must be conducted as there is no accurate alternative to predict nutritive value. However, the use of near infrared reflectance spectroscopy (NIRS) to predict performance from feed ingredients has been shown to have potential. Owens et al (2007) investigated the use of NIRS to predict the performance of broilers offered wheat-based diets, through scanning of whole wheat, and observed that NIRS accurately predicted liveweight gain and gain:feed. The aim of this study was to investigate if NIRS could be used to predict the performance of pigs, through scanning of the complete diet.

Prediction of chemical composition of maize silage by near infrared reflectance spectroscopy in Uruguay

2003 ◽  
Vol 2003 ◽  
pp. 152-152 ◽  
Author(s):  
D. Cozzolino ◽  
A. Fassio
Keyword(s):  
Chemical Composition ◽  
Near Infrared ◽  
Chemical Constituents ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Maize Silage ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Fermentation Products ◽  
Infrared Reflectance Spectroscopy

Whole–plant maize silage dorms the basis of winter rations for the vast majority of dairy and beef cattle production in Uruguay. Microbiological examination of silage is of little value in gauging the outcome of silage, and so chemical analysis is more reliable and meaningful indicator of quality. Chemical assessments of the principal fermentation products provide an unequivocal basis on which to judge quality. Silage fermentation and chemical composition are important to preservation of forage with respect of feeding value and animal performance. Many of the important chemical components of silage must be assayed in fresh (wet presentation) or by extraction of the fresh material, since drying either by heat or lyophilisation, volatilises components such as acids or nitrogenous components, or effects conversion to other compounds (fibre and carbohydrates) (Abrams et al., 1987). Chemical and biological methods for assess maize silage quality are laborious and considered to slow to be used for routine analysis of large number of forage samples. Near infrared reflectance spectroscopy (NIRS) is increasingly used as a rapid, accurate method of evaluating chemical constituents in cereals and dried forages. The objective of this study was to determine the potential of NIRS to assess the chemical composition of dried maize silage samples for advisory purposes.

scholarly journals Optimizing Near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3409
Author(s):  
Tena Alemu ◽  
Jane Wamatu ◽  
Adugna Tolera ◽  
Mohammed Beyan ◽  
Million Eshete ◽  
...  
Keyword(s):  
Nutritional Quality ◽  
Nutritive Value ◽  
Near Infrared ◽  
Cross Validation ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy ◽  
Improvement Programs

Multidimensional improvement programs of chickpea require screening of a large number of genotypes for straw nutritive value. The ability of near infrared reflectance spectroscopy (NIRS) to determine the nutritive value of chickpea straw was identified in the current study. A total of 480 samples of chickpea straw representing a nation-wide range of environments and genotypic diversity (40 genotypes) were scanned at a spectral range of 1108 to 2492 nm. The samples were reduced to 190 representative samples based on the spectral data then divided into a calibration set (160 samples) and a cross-validation set (30 samples). All 190 samples were analysed for dry matter, ash, crude protein, neutral detergent fibre, acid detergent fibre, acid detergent lignin, Zn, Mn, Ca, Mg, Fe, P, and in vitro gas production metabolizable energy using conventional methods. Multiple regression analysis was used to build the prediction equations. The prediction equation generated by the study accurately predicted the nutritive value of chickpea straw (R2 of cross validation >0.68; standard error of prediction <1%). Breeding programs targeting improving food-feed traits of chickpea could use NIRS as a fast, cheap, and reliable tool to screen genotypes for straw nutritional quality.

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