Nutritive Evaluation of Forages by near Infrared Reflectance Spectroscopy

Andrés, Sonia; Murray, Ian; Calleja, Alfredo; Giráldez, Francisco Javier

doi:10.1255/jnirs.561

Cited by 22 publications

(19 citation statements)

References 79 publications

(81 reference statements)

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“…Laboratory analysis of pasture samples has been facilitated by developments in near infrared spectroscopy (NIRS) to analyse a wide array of chemical, physical and morphological attributes of forages (Andres et al, 2005;Landau et al, 2006). This includes capacity to measure morphological attributes such as the leaf-to-stem proportions, which are particularly important in tropical grass pastures, the proportions of major plant groupings (Garcia-Criado et al, 1991;Pilon et al, 2010), and to some extent of specific plant species (Coleman et al, 1990;Atkinson et al, 1996).…”

Section: Evaluation Of Pasture Attributesmentioning

confidence: 99%

The importance of grasslands for animal production and other functions: a review on management and methodological progress in the tropics

Boval

Dixon

2012

Animal

186

106

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The global importance of grasslands is indicated by their extent; they comprise some 26% of total land area and 80% of agriculturally productive land. The majority of grasslands are located in tropical developing countries where they are particularly important to the livelihoods of some one billion poor peoples. Grasslands clearly provide the feed base for grazing livestock and thus numerous high-quality foods, but such livestock also provide products such as fertilizer, transport, traction, fibre and leather. In addition, grasslands provide important services and roles including as water catchments, biodiversity reserves, for cultural and recreational needs, and potentially a carbon sink to alleviate greenhouse gas emissions. Inevitably, such functions may conflict with management for production of livestock products. Much of the increasing global demand for meat and milk, particularly from developing countries, will have to be supplied from grassland ecosystems, and this will provide difficult challenges. Increased production of meat and milk generally requires increased intake of metabolizable energy, and thus increased voluntary intake and/or digestibility of diets selected by grazing animals. These will require more widespread and effective application of improved management. Strategies to improve productivity include fertilizer application, grazing management, greater use of crop by-products, legumes and supplements and manipulation of stocking rate and herbage allowance. However, it is often difficult to predict the efficiency and cost-effectiveness of such strategies, particularly in tropical developing country production systems. Evaluation and on-going adjustment of grazing systems require appropriate and reliable assessment criteria, but these are often lacking. A number of emerging technologies may contribute to timely low-cost acquisition of quantitative information to better understand the soil–pasture–animal interactions and animal management in grassland systems. Development of remote imaging of vegetation, global positioning technology, improved diet markers, near IR spectroscopy and modelling provide improved tools for knowledge-based decisions on the productivity constraints of grazing animals. Individual electronic identification of animals offers opportunities for precision management on an individual animal basis for improved productivity. Improved outcomes in the form of livestock products, services and/or other outcomes from grasslands should be possible, but clearly a diversity of solutions are needed for the vast range of environments and social circumstances of global grasslands.

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Section: Evaluation Of Pasture Attributesmentioning

confidence: 99%

The importance of grasslands for animal production and other functions: a review on management and methodological progress in the tropics

Boval

Dixon

2012

Animal

186

106

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“…On the other hand, feed industry relies strongly on IR reflectance spectroscopy as an alternative to wet chemistry Workman and Shenk, 2004). IR reflectance spectroscopy is a fast, reliable and cost-effective way to predict feedstuffs' chemical composition (Andrés et al, 2005a) and it is used in combination with mathematical models to formulate diets for cattle . Recently, Belanche et al (2013 and2014) used Fourier transformation mid-IR spectroscopy (FTIR) to estimate degradability parameters of CP, dry matter (DM) and NDF, and results suggested that mid-IR can be used for screening purposes but not for estimating dynamic parameters of degradability.…”

Section: Introductionmentioning

confidence: 99%

Prediction of rumen degradability parameters of a wide range of forages and non-forages by NIRS

Foskolos

Calsamiglia

Chrenková

et al. 2015

Animal

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Kinetics of nutrient degradation in the rumen is an important component of feed evaluation systems for ruminants. The in situ technique is commonly used to obtain such dynamic parameters, but it requires cannulated animals and incubations last several days limiting its application in practice. On the other hand, feed industry relies strongly on NIRS to predict chemical composition of feeds and it has been used to predict nutrient degradability parameters. However, most of these studies were feedstuff specific, predicting degradability parameters of a particular feedstuff or category of feedstuffs, mainly forages or compound feeds and not grains and byproducts. Our objective was to evaluate the potential of NIRS to predict degradability parameters and effective degradation utilizing a wide range of feedstuffs commonly used in ruminant nutrition. A database of 809 feedstuffs was created. Feedstuffs were grouped as forages (FF; n = 256), non-forages (NF; n = 539) and of animal origin (n = 14). In situ degradability data for dry matter (DM; n = 665), CP (n = 682) and NDF (n = 100) were collected. Degradability was described in terms of washable fraction (a), slowly degradable fraction ( b) and its rate of degradation (c). All samples were scanned from 1100 to 2500 nm using an NIRSystems 5000 scanning in reflectance mode. Calibrations were developed for all samples (ALL), FF and NF. Equations were validated with an external validation set of 20% of total samples. NIRS equations to predict the effective degradability and fractions a and b of DM, CP and NDF could be evaluated from being adequate for screening (r 2 > 0.77; ratio of performance to deviation (RPD) = 2.0 to 2.9) to suitable for quantitative purposes (r 2 > 0.84; RPD = 3.1 to 4.7), and some predictions were improved by group separation reducing the standard error of prediction. Similarly, the rate of degradation of CP (CP c ) and DM (DM c ) was predicted for screening purposes (RPD ⩾2 and 2.5 for CP c and DM c , respectively). However, the rate of degradation of NDF was not predicted accurately (NDF c : r 2 < 0.75; RDP < 2).

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“…However, chemical analyses are expensive and inappropriate for breeding purposes. In contrast, physical analysis by laboratory near‐infrared spectroscopy is less expensive and has become a successful alternative for determination of chemical composition and nutritional attributes of silage corn hybrids (Andrés et al. 2005).…”

mentioning

confidence: 99%

Determination of chemical composition and nutritional attributes of silage corn hybrids by near‐infrared spectroscopy on chopper: evaluation of traits, sample presentation systems and calibration transferability

Montes

Paúl²,

Melchinger

2007

Plant Breeding

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Determination of dry matter and feeding value of silage corn (Zea mays L.) limits the number of genotypes that can be evaluated in breeding programmes. Measuring plot material by near-infrared spectroscopy on chopper (NOC) allows to increase the number of genotypes to evaluate, and improves dramatically the efficiency of the data collection processes. The objectives of our study were to (i) compare the performance of two NOC sample presentation systems (conveyor belt vs. spout) for determination of dry matter and feeding value of silage corn hybrids (ii) identify limiting parameters in the performance of alternative NOC sample presentation designs and (iii) evaluate the calibration transferability between NOC systems equipped with different sample presentation designs. Two chopper machines were equipped with near-infrared diode array spectrometers. Sample presentation designs comprised the conveyor belt and spout systems. Drying-oven and laboratory near-infrared spectroscopy were used as reference methods to develop NOC calibrations. In association with its higher dynamic signal range the conveyor belt system yielded lower standard errors of prediction than the spout system for most traits. Calibration transferability between NOC systems with different sample presentation designs was feasible.

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Nutritive Evaluation of Forages by near Infrared Reflectance Spectroscopy

Abstract: El artículo seleccionado no se encuentra disponible por ahora a texto completo por no haber sido facilitado todavía por el investigador a cargo del archivo del mismo.

Cited by 22 publications

References 79 publications

The importance of grasslands for animal production and other functions: a review on management and methodological progress in the tropics

The importance of grasslands for animal production and other functions: a review on management and methodological progress in the tropics

Prediction of rumen degradability parameters of a wide range of forages and non-forages by NIRS

Determination of chemical composition and nutritional attributes of silage corn hybrids by near‐infrared spectroscopy on chopper: evaluation of traits, sample presentation systems and calibration transferability

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