Predicting the voluntary intake of barley straw with near infrared reflectance spectroscopy (NIRS)

1994 ◽  
Vol 1994 ◽  
pp. 111-111
Author(s):  
A V Goodchild ◽  
F Jaby El-Haramein ◽  
T T Treacher
Keyword(s):  
Nutritional Value ◽  
Near Infrared ◽  
Rapid Test ◽  
Developed Countries ◽  
Gas Production ◽  
Barley Straw ◽  
Near Infrared Reflectance ◽  
Indirect Methods ◽  
Straw Quality ◽  
Voluntary Intake

In developing countries, straws, stovers and stubbles provide a large proportion of the nutrient intake of ruminants. Cereal breeders working for these countries need a rapid test to predict the nutritional value of straw. An important component of nutritional value of straw is voluntary intake (Goodchild et al. 1992). Voluntary intake (DMT) is usually measured in samples of straw weighing 100 kg or more: in contrast, only a few plants weighing tens of grams are available for each genotype in the early stages of breeding. Indirect methods of estimating voluntary intake, like in vitro gas production, are available but relatively costly. For these reasons, and because selecting for grain yield and stem stiffness has been a priority in developed countries, breeders have tended to ignore straw quality.

Standardizing near infrared reflectance spectra by detrending against a water spectrum, for calibrating the voluntary intake of barley straw by sheep

1998 ◽  
Vol 22 ◽  
pp. 315-318
Author(s):  
A. V. Goodchild ◽  
F. J. El Haramein
Keyword(s):  
Moisture Content ◽  
Near Infrared ◽  
Simple Technique ◽  
Reflectance Spectroscopy ◽  
Single Sample ◽  
Barley Straw ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Voluntary Intake

The moisture content of samples affects the accuracy of predictions made using near infrared reflectance spectroscopy (NIRS). One way to prevent the problem is to develop a repeatability file, which summarizes variation in the spectra of a single sample resulting from variation in conditions at the time of scanning (Murray, 1993). Another method is to re-read the spectra of all samples on a second occasion when their moisture content has been deliberately altered (Murray, 1993). The present study, using straws with known voluntary intakes, compares these methods with a simple technique that compensates the spectra for moisture content before NIRS calibration (or prediction) begins.

Broad-based calibrations of in vitro gas production of forages by near-infrared reflectance spectroscopy

1998 ◽  
Vol 22 ◽  
pp. 234-237
Author(s):  
M. Herrero ◽  
N. S. Jessop
Keyword(s):  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Gas Production ◽  
Grass Species ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy ◽  
Wide Range

There is increasing demand to obtain fast and accurate dynamic nutritional information from forages. Near-infrared reflectance spectroscopy (NIRS) offers the possibility for obtaining such information for a range of nutritional constituents of foods. Herrero et al. (1996 and 1997) calibrated in vitro gas production measurements of a single grass species by NIRS. There would be greater practical benefit if the gas production predictions could be obtained using calibrations derived from a wide range of plant species, since a single equation could be used for all forages. The objective of this study was to investigate if in vitro gas production measurements of a broad based sample population could be calibrated by NIRS.

Near infrared reflectance spectroscopy wavelengths for selecting barley for the genotypic feeding value of its straw

1998 ◽  
Vol 22 ◽  
pp. 319-322
Author(s):  
A. V. Goodchild ◽  
F. J. El Haramein ◽  
S. Ceccarelli ◽  
E. F. Thomson
Keyword(s):  
Nutritive Value ◽  
Near Infrared ◽  
Body Weight Gain ◽  
Metabolizable Energy ◽  
Barley Straw ◽  
Near Infrared Reflectance ◽  
Dry Conditions ◽  
Feeding Value ◽  
Growing Conditions ◽  
Indirect Tests

In the semi-arid parts of west Asia and north Africa, barley straw (Hordeum vulgareL. subsp. vulgare)and cereal stubbles provide between one-quarter and one-half of the metabolizable energy (ME) offered to sheep. In barley straw, voluntary straw dry-matter (DM) intake (VSI) is a good predictor of body weight gain (R2 = 0.85; data of Capper et al., 1989). This varies according to location and year (CV = 0.30 to 0.40) and varies genetically, with an average genotypic CV of 0.07, which can exceed 0.10 in wet years. Genotype X environment interactions in VSI are important (Table 1).A genetically high VSI is advantageous in cool, wet, favourable growing conditions, when VSI is normally low. In drought conditions, VSI is high, genetically varies relatively little (Table 1) and is less important for the farmer than straw and grain yields. Barley breeders working in drought-prone environments prefer to do most of their selection for yield in dry conditions (Ceccarelli, 1993). Breeders are increasingly selecting for high VSI but wish to focus their testing plots in dry areas. Therefore they need indirect tests that indicate the nutritive value of straw when it is grown in wet environments.

Sign in / Sign up

Export Citation Format

Share Document