Prediction of the metabolisable energy content of whole crop wheat from chemical composition, in vitro digestibility and near infrared reflectance spectroscopy

1997 ◽  
Vol 1997 ◽  
pp. 204-204
Author(s):  
A T Adesogan ◽  
D I Givens ◽  
E Owen
Keyword(s):  
Near Infrared ◽  
Energy Content ◽  
Public Attitudes ◽  
In Vitro Digestibility ◽  
Near Infrared Reflectance ◽  
Non Invasive ◽  
Metabolisable Energy ◽  
Evaluation Techniques

Public attitudes and expense encourage the replacement of in vivo forage evaluation techniques with non-invasive, laboratory-based techniques. This study assessed the accuracy of predicting the metabolisable energy (ME) content of whole crop wheat (WCW) from less animal-dependent techniques.

scholarly journals In vivo and in vitro techniques for the assessment of the energy content of feed grains for poultry: a review

1999 ◽  
Vol 50 (5) ◽  
pp. 881 ◽  
Author(s):  
D. J. Farrell
Keyword(s):  
Near Infrared ◽  
Energy Content ◽  
Energy Systems ◽  
Great Promise ◽  
Net Energy ◽  
Near Infrared Reflectance ◽  
Food Grains ◽  
Metabolisable Energy

The focus of this paper is on the energy evaluation of foodstuffs, particularly of food grains for poultry. Apparent metabolisable energy (AME) is currently the preferred feeding system for poultry but net energy systems are future possibilities and one is currently being used in some poultry growth models. These systems take into account the efficiency with which AME is being utilised by the bird. Aspects such as AME adjusted to zero nitrogen retention and true metabolisable energy (TME) are discussed. Shortcomings of the AME system are also discussed and recent net energy systems are described briefly. The in vitro prediction of AME or TME has not shown great promise although the European Tables of Energy Values for Foodstuffs contain detailed analysis of chemical composition and AMEn data allowing improved accuracy of prediction. It is suggested that data generated on Australian grains should be tested using these tables, and if successful, these tables may be useful to industry. Near infrared reflectance analysis (NIRA) is likely to be the preferred in vitro method for predicting a range of characteristics of food grains including AME. A new method of grain evaluation developed in Canada is described and this approach, with modification, may be worth pursuing in Australia. For the in vivo method of measuring AME of grains, the classical total collection method with broiler chickens is recommended with minor changes. The use of acid-insoluble ash for estimating dry matter digestibility for subsequent determination of AME may have merit. A rapid assay appropriate to laying hens is proposed because of the known increase in AME of grains as birds age. It has been established that AME values generated using adult cockerels also apply reasonably well to hens.

Review: Prediction of variation in energetic value of wheat for poultry

2012 ◽  
Vol 92 (3) ◽  
pp. 261-273 ◽  
Author(s):  
M. Yegani ◽  
D. R. Korver
Keyword(s):  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
In Vitro Digestibility ◽  
Chemical Characteristics ◽  
Energy Availability ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Physico Chemical

Yegani, M. and Korver, D. R. 2012. Review: Prediction of variation in energetic value of wheat for poultry. Can. J. Anim. Sci. 92: 261–273. Variations in physical and chemical characteristics of wheat can significantly influence the energy availability of this feed ingredient for poultry. These variations can result in inefficiencies in the form of over- or under-formulation of the diets at commercial feed mills or on poultry farms. Therefore, having a clear understanding of the variations is of paramount importance in the formulation of poultry diets as they can have negative consequences for production performance of birds. There are a large number of factors that can contribute to variations in energy availability of wheat for poultry. This review is intended to briefly discuss these factors and also practical approaches that can be used to predict these variations. These approaches include measuring physico-chemical characteristics, in vivo digestibility trials, in vitro digestibility techniques, and near infrared reflectance spectroscopy (NIRS). There are limitations associated with physico-chemical and in vivo measurements. However, in vitro digestibility techniques are simple and fast and can provide data for database development and ongoing calibrations of NIRS systems. Near infrared reflectance spectroscopy has enormous potential to predict variations in wheat apparent metabolizable energy, leading to more accurate diet formulation.

A Comparison between in vitro digestibility, in situ degradability and a gas production technique for predicting the in vivo digestibility of whole crop wheat

1995 ◽  
Vol 1995 ◽  
pp. 118-118
Author(s):  
A T Adesogan ◽  
D I Giverts ◽  
E Owen
Keyword(s):  
Nutritive Value ◽  
Animal Experimentation ◽  
Gas Production ◽  
In Vitro Digestibility ◽  
Production Technique ◽  
Non Invasive ◽  
Evaluation Techniques

Public aversion to animal experimentation demands the replacement of typically expensive, laborious and lengthy in vivo forage evaluation techniques with non-invasive, laboratory-based techniques. This study aimed to assess the suitability of three less animal-dependent techniques (in vitro digestibility (Tilley and Terry, 1963), in situ degradability (Ørskov and McDonald, 1979) and gas production (Theodorou et al., 1994)) for predicting the in vivo digestibility of whole crop wheat (WCW). The study forms part of an on-going MAFF LINK project that aims to develop equations for the laboratory-based prediction of the nutritive value of WCW.

A Comparison between in vitro digestibility, in situ degradability and a gas production technique for predicting the in vivo digestibility of whole crop wheat

1995 ◽  
Vol 1995 ◽  
pp. 118-118
Author(s):  
A T Adesogan ◽  
D I Giverts ◽  
E Owen
Keyword(s):  
Nutritive Value ◽  
Animal Experimentation ◽  
Gas Production ◽  
In Vitro Digestibility ◽  
Production Technique ◽  
Non Invasive ◽  
Evaluation Techniques

Public aversion to animal experimentation demands the replacement of typically expensive, laborious and lengthy in vivo forage evaluation techniques with non-invasive, laboratory-based techniques. This study aimed to assess the suitability of three less animal-dependent techniques (in vitro digestibility (Tilley and Terry, 1963), in situ degradability (Ørskov and McDonald, 1979) and gas production (Theodorou et al., 1994)) for predicting the in vivo digestibility of whole crop wheat (WCW). The study forms part of an on-going MAFF LINK project that aims to develop equations for the laboratory-based prediction of the nutritive value of WCW.

scholarly journals Non-invasive, real-time reporting drug release in vitro and in vivo

2015 ◽  
Vol 51 (32) ◽  
pp. 6948-6951 ◽  
Author(s):  
Yanfeng Zhang ◽  
Qian Yin ◽  
Jonathan Yen ◽  
Joanne Li ◽  
Hanze Ying ◽  
...  
Keyword(s):  
Drug Release ◽  
Real Time ◽  
Near Infrared ◽  
Reporting System ◽  
Real Time Monitoring ◽  
Near Infrared Fluorescence ◽  
Non Invasive ◽  
Fluorescence Dye

Anin vitroandin vivodrug-reporting system is developed for real-time monitoring of drug release via the analysis of the concurrently released near-infrared fluorescence dye.

scholarly journals COMPARISON OF NEAR INFRARED CALIBRATIONS FOR ESTIMATING IN VITRO DIGESTIBILITY IN WHOLE-PLANT CORN HYBRIDS

1987 ◽  
Vol 67 (2) ◽  
pp. 557-562 ◽  
Author(s):  
E. V. VALDES ◽  
R. B. HUNTER ◽  
G. E. JONES
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Mature Stage ◽  
In Vitro Digestibility ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance ◽  
Corn Hybrids ◽  
Dry Matter Digestibility ◽  
Whole Plant

A comparison of two near infrared (NIRA) calibrations (C1 and C2) for the prediction of in vitro dry matter digestibility (IVDM) in whole-plant corn (WPC) was conducted. C1 consisted of 40 WPC samples collected from four locations across Ontario (Brucefield, London, Guelph and Elora). C2 consisted of 90 samples and included the above locations plus Pakenham and Winchester. Nine wavelengths were used in both equations but only three were common in C1 and C2 equations. These wavelengths were 2139 nm, 2100 nm, and 1445 nm, respectively. The predictions of IVDM utilizing both C1 and C2 were good. Coefficients of determination (r2) and standard error of the estimate (SEE) for calibration and prediction sets were 0.91, 1.7; 0.85, 1.7 for C1 and 0.88, 1.6; 0.77, 1.6 for C2 respectively. Regression analysis within location, however, showed low r2 values for the prediction of IVDM for Pakenham and Winchester in both calibrations. The more mature stage of harvest at these locations might be the cause of the poorer predictions. Key words: In vitro digestibility, whole-plant corn, near infrared reflectance

scholarly journals The Relative Performance of a Benchtop Scanning Monochromator and Handheld Fourier Transform Near-Infrared Reflectance Spectrometer in Predicting Forage Nutritive Value

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 658
Author(s):  
Matthew F. Digman ◽  
Jerry H. Cherney ◽  
Debbie J. R. Cherney
Keyword(s):  
Nutritive Value ◽  
Near Infrared ◽  
Prediction Models ◽  
Low Cost ◽  
Neutral Detergent Fiber ◽  
In Vitro Digestibility ◽  
Near Infrared Reflectance ◽  
Average Decrease ◽  
Manufacturing Techniques

Advanced manufacturing techniques have enabled low-cost, on-chip spectrometers. Little research exists, however, on their performance relative to the state of technology systems. The present study compares the utility of a benchtop FOSS NIRSystems 6500 (FOSS) to a handheld NeoSpectra-Scanner (NEO) to develop models that predict the composition of dried and ground grass, and alfalfa forages. Mixed-species prediction models were developed for several forage constituents, and performance was assessed using an independent dataset. Prediction models developed with spectra from the FOSS instrument had a standard error of prediction (SEP, % DM) of 1.4, 1.8, 3.3, 1.0, 0.42, and 1.3, for neutral detergent fiber (NDF), true in vitro digestibility (IVTD), neutral detergent fiber digestibility (NDFD), acid detergent fiber (ADF), acid detergent lignin (ADL), and crude protein (CP), respectively. The R2P for these models ranged from 0.90 to 0.97. Models developed with the NEO resulted in an average increase in SEP of 0.14 and an average decrease in R2P of 0.002.

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