Near-InfraRed Spectroscopy (NIRS)
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Item Near-infrared reflectance spectroscopy for forage nutritive value analysis in sub-Saharan African countries(Journal Article, 2022-01) Balehegn, Mulubrhan; Varijakshapanicker, Padmakumar; Zampaligre, Nouhoun; Blümmel, Michael; Ayantunde, Augustine A.; Jones, Christopher S.; Prasad, Kodukula V.S.V.; Duncan, Alan J.; Dejene, M.; Adesogan, Adegbola T.Limited supply of quality feed is the most common problem limiting livestock productivity in sub‐Saharan Africa (SSA). Routine feed evaluation is indispensable for formulating balanced rations, feed characterization, safety, and minimizing the environmental impact of livestock. Traditional wet chemistry has not met this demand in SSA because it is time consuming, expensive, reliant on imported reagents and equipment that requires regular maintenance. Near infrared reflectance spectroscopy (NIRS) is a rapid and accurate alternative. The NIRS can help meet the need to characterize locally available forages and feeds on the continent, thus allowing formulation of optimally balanced and safe rations, facilitating establishment of nutritive value‐based pricing, and improving feed marketing and environmental stewardship. Though several NIRS systems have been purchased in many SSA countries, few are currently used. Reasons include high upfront costs, lack of requisite technical capacity, lack of access to comprehensive wet chemistry‐based databases to develop and validate robust and accurate predictive equations, lack of access to or relevance of existing validated equations, and limited awareness about the value of NIRS. Recently developed portable devices can dramatically reduce cost, while providing flexibility and comparable accuracy to benchtop systems. Formation of NIRS consortia and communities of practice including public–private partnerships that link equipment, pool resources, and provide periodic training and troubleshooting, can address many of these problems. This paper elaborates the potential for using NIRS to improve feed analysis in SSA countries, the reasons for the low use of existing systems, and strategies to improve the adoption and use of NIRS.Item Prediction of in vitro gas production kinetics in cereal crop residues by near infrared spectroscopy(Conference Paper, 2013-06-07) Prasad, Kodukula V.S.V.; Ramana Reddy, Y.; Anandan, S.; Ramakrishna Reddy, C.; Blümmel, MichaelItem In vitro gas production technique for assessment of sweet potato (Ipomoea batatas (I) Iam) silage using fresh faecal inoculum from pigs(Conference Paper, 2006-09-22) Vellaikumar, S.; Chung, I.B.; Prasad, Kodukula V.S.V.; Ravi, D.; Khan, A.A.; Blümmel, MichaelItem Quality estimation of intact and ground maize (Zea mays) grain and stover by near-infrared spectroscopy(Conference Paper, 2013-06-07) Ramana Reddy, Y.; Ravi, D.; Ramakrishna Reddy, C.; Prasad, Kodukula V.S.V.; Zaidi, Pervez Haider; Vinayan, M.T.; Vivek, B.; Blümmel, MichaelItem Standardizing the near-infrared spectroscopy (NIRS) for low cost high throughput assessing of phytate and polyphenol contents in sorghum grain(Poster, 2018-12-14) Gaddameedi, A.; Blümmel, Michael; Deshpande, S.; Prasad, Kodukula V.S.V.; Kishor, P.; Phuke, R.; Gorthy, S.; Are, A.Item Amino acid profiling of feed ingredients and finished feeds of ruminants, monogastrics and fish by near infra-red reflectance spectroscopy (NIRS)(Conference Paper, 2016-02-06) Prasad, Kodukula V.S.V.; Reddy, Ch R.K.; Venkateswalu, G.; Sharada, P.; Rashid, M.M.; Ramana Reddy, Y.; Blümmel, MichaelItem Prediction of the efficiency of in vitro ruminal microbial production of different cultivars of rice straw by Near Infrared Spectroscopy (NIRS)(Poster, 2003) Prasad, Kodukula V.S.V.; Pattanaik, A.K.; Dutta, N.; Viraktamath, B.; Sharma, K.; Blümmel, MichaelItem Price and quality of legumes in fodder markets of northern Nigeria(Poster, 2016-02-28) Grings, Elaine E.; Musa, Abubakar; Prasad, Kodukula V.S.V.; Ravi, Devulapalli; Samireddypalle, A.; Okike, Iheanacho; Blümmel, MichaelItem Variations in food-feed traits in a core collection of chickpeas(Poster, 2016-02-27) Blümmel, Michael; Gaur, P.; Krishnamurthy, L.; Vadez, VincentItem Use of Near Infra Red Reflectance Spectroscopy (NIRS) to profile fatty acids of feeds and forages(Conference Paper, 2019-12-19) Prasad, Kodukula V.S.V.; Ramakrishna Reddy, C.; Ramana Reddy, Y.; Varijakshapanicker, Padmakumar; Blümmel, Michael100 food/feed and forage samples were analyzed by gas liquid chromotography for their fatty acid content and the data were used to develop NIRS calibration models and standardization for prediction of fatty acid content in different feedstuffs in a rapid, non-destructive and inexpensive manner. The coefficient of determination (R2) value for calibration and validation of saturated, trans, unsaturated, omega-3 and omega-6 fatty acids ranged between 0.56-1.0 and 0.59-0.95, respectively indicating that NIRS can be used for fatty acid profiling of different feeds with moderate (trans fatty acids) to high (saturated, unsaturated, omega-3 and omega-6 fatty acids) accuracy.Item Mobile and hand-held near infrared infrared spectrometers in feed evaluation―Solutions to challenges?(Conference Paper, 2019-12-19) Prasad, Kodukula V.S.V.; Asmare, Yonas; Melesse, A.; Kosmowski, Frederic; Varijakshapanicker, Padmakumar; Blümmel, Michael550 Ethiopian food/feed/forage and concentrate samples were analysedfor nitrogen,fibre-fractions, metabolizable energy and invitro organic matter digestibility to develop mobile and hand-held NIRS calibration and equation models for prediction of these quality traits in a rapid, non-destructive and inexpensive manner. Two NIRS instruments were used: Thermo mobile microPhazir with a sales price of about 40 000 US $ and hand-held TellSpec with a sales price of about 1 500 US $. The coefficient of determination (R2) value for Thermo microPhazir calibration and blind predictions of N, NDF, ADF, ADL, ME and IVOMD ranged between 0.85-0.98 and 0.67-0.97, respectively and for the TellSpec ranged between 0.84-0.96 and 0.58-0.89indicating that mobile and hand-held NIRS can be used for feed evaluation of different feeds with moderate (ADL) to high (ADF, NDF, ME, IVOMD and N) accuracy.Item Price quality relationships in fodder trading in Niger with special regards to comparison of cowpea and groundnut haulms with concentrates, collected shrubs and grasses(Poster, 2016-02-27) Jarial, Sapna; Blümmel, Michael; Soumana, I.; Prasad, Kodukula V.S.V.; Issa, S.; Ravi, D.Item Quantification of dhurrin in different types of sorghum forages by near-infrared reflectance spectroscopy(Conference Paper, 2015-01) Vinutha, K.S.; Rao, P.S.; Prasad, Kodukula V.S.V.; Reddy, Y.R.; Prakasham, R.S.; Sheelu, G.; Nikhila, B.; Blümmel, MichaelItem Handheld mobile near infrared spectroscopy—A rapid tool for quality evaluation of feeds.(Conference Paper, 2015-01) Prasad, Kodukula V.S.V.; Rashid, M.M.; Sharada, P.; Ravi, D.; Ramana Reddy, Y.; Phillips, M.; Blümmel, MichaelItem Near infrared spectroscopy estimation of pearl millet grain composition and feed quality(Conference Paper, 2010) Choudhary, S.; Hash, C.T.; Sagar, P.; Prasad, Kodukula V.S.V.; Blümmel, MichaelItem Feeding quality assessment of fresh maize stover by means of near-infrared spectroscopy with a new sample presentation unit(Journal Article, 2008-04) Montes, J.M.; Mirdita, V.; Prasad, K.; Blümmel, Michael; Melchinger, A.E.Stover quality traits are important in breeding programmes of maize cultivars. However, conventional procedures for evaluation of stover quality are expensive and thus limit the full exploitation of the available genetic variability. Our objective was to assess the potential of near-infrared spectroscopy (NIRS) with a new sample presentation unit to determine feeding quality of maize stover. The plant material comprised maize inbreds and hybrids. The sample presentation unit was equipped with a near-infrared diode-array spectrometer. Coefficient of determination in cross-validation ranged between 0.77 and 0.94 for contents of dry matter, nitrogen, neutral detergent fibre and in vitro fermentability expressed as gas volume after 24h incubation time, but it was lower for ash content. It was concluded that NIRS with the new sample presentation unit was less accurate than laboratory NIRS to predict the standard reference methods. However, the new sample presentation unit might be used as a fast and efficient technique to perform large screenings of maize stover accessions in breeding programmes.