The Application of NIRS to Determine Animal Physiological Traits for Wildlife Management and Conservation
暂无分享,去创建一个
Kara Youngentob | Laura R. Morgan | Karen J. Marsh | Douglas R. Tolleson | Doug Tolleson | Kara N. Youngentob | K. Marsh | L. Morgan
[1] M. Scott. The Impact of Infection and Disease on Animal Populations: Implications for Conservation Biology , 1988 .
[2] P. Geladi,et al. Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat , 1985 .
[3] A. Perevolotsky,et al. A fecal near-infrared reflectance spectroscopy-aided methodology to determine goat dietary composition in a Mediterranean shrubland. , 2008, Journal of animal science.
[4] J. Peberdy,et al. Chitin synthase in Mortierella vinacea: properties, cellular location and synthesis in growing cultures. , 1975, Journal of general microbiology.
[5] Christopher N. Johnson,et al. The effects of plant defensive chemistry on nutrient availability predict reproductive success in a mammal. , 2009, Ecology.
[6] W. Goymann. Noninvasive Monitoring of Hormones in Bird Droppings: Physiological Validation, Sampling, Extraction, Sex Differences, and the Influence of Diet on Hormone Metabolite Levels , 2005, Annals of the New York Academy of Sciences.
[7] Floyd E. Dowell,et al. Using Near-Infrared Spectroscopy to Resolve the Species, Gender, Age, and the Presence of Wolbachia Infection in Laboratory-Reared Drosophila , 2012, G3: Genes | Genomes | Genetics.
[8] J. Stuth,et al. Fecal NIRS equations to assess diet quality of free-ranging goats , 1995 .
[9] R. Barnes,et al. Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra , 1989 .
[10] K. Tsukamoto,et al. New Micro‐amount of Virion Enrichment Technique (MiVET) to detect influenza A virus in the duck faeces , 2018, Transboundary and emerging diseases.
[11] K. Bråthen,et al. Using near‐infrared reflectance spectroscopy (NIRS) to estimate carbon and nitrogen stable isotope composition in animal tissues , 2021, Ecology and evolution.
[12] T. Fearn,et al. Sample selection, calibration and validation of models developed from a large dataset of near infrared spectra of tree leaves , 2020 .
[13] Joel B. Johnson. Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review , 2020 .
[14] Yingchun Xu,et al. Fast Screening and Primary Diagnosis of COVID-19 by ATR-FT-IR. , 2021, Analytical chemistry.
[15] A. Garrido-Varo,et al. Evaluation of Pretreatment Strategies for Near-Infrared Spectroscopy Calibration Development of Unground and Ground Compound Feedingstuffs , 2006, Applied spectroscopy.
[16] W. Foley,et al. Near-Infrared Reflectance Spectroscopy is a Rapid, Cost-Effective Predictor of Seagrass Nutrients , 2006, Journal of Chemical Ecology.
[17] W. Foley,et al. Near Infrared Spectroscopy in Wildlife and Biodiversity , 2016 .
[18] F. Dowell,et al. Detection of Plasmodium berghei infected Anopheles stephensi using near-infrared spectroscopy , 2018, Parasites & Vectors.
[19] W. Foley,et al. Ecological applications of near infrared reflectance spectroscopy – a tool for rapid, cost-effective prediction of the composition of plant and animal tissues and aspects of animal performance , 1998, Oecologia.
[20] J. Shenk,et al. Application of NIR Spectroscopy to Agricultural Products , 1992 .
[21] J. Stuth,et al. Influence of duration of exposure to field conditions on viability of fecal samples for NIRS analysis. , 1994 .
[22] Detection of urinary estrogen conjugates and creatinine using near infrared spectroscopy in Bornean orangutans (Pongo Pygmaeus) , 2015, Primates.
[23] Xu Yang,et al. Use of near-infrared spectroscopy for the rapid evaluation of soybean [Glycine max (L.) Merri.] water soluble protein content. , 2020, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.
[24] Weam I Zaky,et al. A Novel Xenomonitoring Technique Using Mosquito Excreta/Feces for the Detection of Filarial Parasites and Malaria , 2016, PLoS neglected tropical diseases.
[25] D. Coates,et al. Review: Near Infrared Spectroscopy of Faeces to Evaluate the Nutrition and Physiology of Herbivores , 2009 .
[26] L. Monclús,et al. Prediction of Cortisol and Progesterone Concentrations in Cow Hair Using Near-Infrared Reflectance Spectroscopy (NIRS) , 2017, Applied spectroscopy.
[27] Zhigang Jiang,et al. Seasonal Changes of Reproductive Behavior and Fecal Steroid Concentrations in Père David's Deer , 2001, Hormones and Behavior.
[28] L. Corlatti. Anonymous fecal sampling and NIRS studies of diet quality: Problem or opportunity? , 2020, Ecology and evolution.
[29] S. Prince,et al. Application of fecal near-infrared reflectance spectroscopy profiling for the prediction of diet nutritional characteristics and voluntary intake in beef cattle. , 2017, Journal of animal science.
[30] C. Chapman,et al. Rapid Assessment of the Nutritional Value of Foods Eaten by Mountain Gorillas: Applying Near-Infrared Reflectance Spectroscopy to Primatology , 2009, International Journal of Primatology.
[31] Kyle Eyvindson,et al. Value of information in multiple criteria decision making: an application to forest conservation , 2019, Stochastic Environmental Research and Risk Assessment.
[32] S. Landau,et al. Excretal Near Infrared Reflectance Spectrometry to monitor the nutrient content of diets of grazing young ostriches ( Struthio camelus ) , 2006 .
[33] Noam Levin,et al. Mapping Foliar Nutrition Using WorldView-3 and WorldView-2 to Assess Koala Habitat Suitability , 2019, Remote. Sens..
[34] R. Randel,et al. Determination of sex and species in red and fallow deer by near infrared reflectance spectroscopy of the faeces , 2005 .
[35] D. E. Spalinger,et al. Summer dietary nitrogen availability as a potential bottom-up constraint on moose in south-central Alaska. , 2009, Ecology.
[36] R. Lyons,et al. Fecal NIRS equations for predicting diet quality of free-ranging cattle , 1992 .
[37] W. Foley,et al. Feeding rates of a mammalian browser confirm the predictions of a ‘foodscape’ model of its habitat , 2014, Oecologia.
[38] P. G. Peiretti,et al. Nirs of body and tissues in growing rabbits fed diets with different fat sources and supplemented with Curcuma longa. , 2013 .
[39] Néstor Fernández,et al. Predicting herbivore faecal nitrogen using a multispecies near-infrared reflectance spectroscopy calibration , 2017, PloS one.
[40] W. Foley,et al. A simple, integrative assay to quantify nutritional quality of browses for herbivores , 2008, Oecologia.
[41] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .
[42] Eric R. Ziegel,et al. Chemometrics: Statistics and Computer Application in Analytical Chemistry , 2001, Technometrics.
[43] D. Bailey,et al. Effect of Previous Experience on Grazing Patterns and Diet Selection of Brangus Cows in the Chihuahuan Desert , 2010 .
[44] P. Taberlet,et al. New perspectives in diet analysis based on DNA barcoding and parallel pyrosequencing: the trnL approach , 2009, Molecular ecology resources.
[45] W. Foley,et al. A nutritional mechanism underpinning folivore occurrence in disturbed forests , 2019 .
[46] J. Roger,et al. Correction of moisture effects on near infrared calibration for the analysis of phenol content in eucalyptus wood extracts , 2008, Annals of Forest Science.
[47] I. Lawler,et al. CAN NEAR INFRARED SPECTROSCOPY BE USED TO IMPROVE ASSESSMENT OF MARINE MAMMAL DIETS VIA FECAL ANALYSIS , 2006 .
[48] Doug Tolleson,et al. Fecal NIRS: detection of tick infestations in cattle and horses. , 2007, Veterinary parasitology.
[49] P. Timms,et al. Comparison of antigen detection and quantitative PCR in the detection of chlamydial infection in koalas (Phascolarctos cinereus). , 2012, Veterinary journal.
[50] C. Greensill,et al. Comparison of two NIR systems for quantifying kaolinite in Weipa bauxites , 2007 .
[51] M. Homolka,et al. Faecal nitrogen: a potential indicator of red and roe deer diet quality in forest habitats , 2005 .
[52] S. Prince,et al. Plane of nutrition by tick-burden interaction in cattle: effect on growth and metabolism. , 2012, Journal of animal science.
[53] Colin M Beale,et al. Palatability mapping: a koala's eye view of spatial variation in habitat quality. , 2010, Ecology.
[54] Doug Tolleson,et al. Predicting Diet Quality of Donkeys via Fecal-NIRS Calibrations , 2008 .
[55] Y. Ibrahim,et al. The Cortisol Steroid Levels as a Determinant of Health Status in Animals , 2017 .
[56] J. Reeves,et al. Determination of Ammonium-N, Moisture, Total C and Total N in Dairy Manures Using a near Infrared Fibre-Optic Spectrometer , 2000 .
[57] Gordon Luikart,et al. Advancing ecological understandings through technological transformations in noninvasive genetics , 2009, Molecular ecology resources.
[58] J. Reeves,et al. Spectroscopic Analysis of Dried Manures. Near- versus Mid-Infrared Diffuse Reflectance Spectroscopy for the Analysis of Dried Dairy Manures , 2002 .
[59] V. Hayssen,et al. Measuring cortisol in hair and saliva from dogs: coat color and pigment differences. , 2010, Domestic animal endocrinology.
[60] Zhou Shi,et al. Accounting for the effects of water and the environment on proximally sensed vis–NIR soil spectra and their calibrations , 2015 .
[61] Paul Wrede,et al. Simultaneous Identification of DNA and RNA Viruses Present in Pig Faeces Using Process-Controlled Deep Sequencing , 2012, PloS one.
[62] Angela Trocino,et al. Prediction of chemical composition and origin identification of European sea bass (Dicentrarchus labrax L.) by near infrared reflectance spectroscopy (NIRS) , 2004 .
[63] J. Ballenger,et al. Age estimation of red snapper (Lutjanus campechanus) using FT-NIR spectroscopy: feasibility of application to production ageing for management , 2020 .
[64] Ben Lambert,et al. Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy , 2018, Scientific Reports.
[65] Doug Tolleson,et al. Evaluation of non-invasive bioforensic techniques for determining the age of hot-iron brand burn scars in cattle , 2021, Translational animal science.
[66] Doug Tolleson,et al. Fecal Near Infrared Spectroscopy to Discriminate Physiological Status in Giant Pandas , 2012, PloS one.
[67] Hans-Gerd Löhmannsröben,et al. Quantifying Ethanol Content of Beer Using Interpretive Near-Infrared Spectroscopy , 2004, Applied spectroscopy.
[68] D. M. Leslie,et al. Facts From Feces: Nitrogen Still Measures Up as a Nutritional Index for Mammalian Herbivores , 2008 .
[69] J. Baker,et al. Chronological Age-Grading of House Flies by Using Near-Infrared Spectroscopy , 2002, Journal of medical entomology.
[70] S. Kronberg,et al. Faecal near infrared reflectance spectroscopy to predict diet quality for sheep , 2007 .
[71] A faecal index of diet quality that predicts reproductive success in a marsupial folivore , 2013, Oecologia.
[72] M. Pontil. Leave-one-out error and stability of learning algorithms with applications , 2002 .
[73] A. Perevolotsky,et al. Faecal NIRS to monitor the diet of Mediterranean goats , 2004 .
[74] R. Bro,et al. Centering and scaling in component analysis , 2003 .
[75] J. E. Guerrero,et al. Use of Artificial Neural Networks in Near-Infrared Reflectance Spectroscopy Calibrations for Predicting the Inclusion Percentages of Wheat and Sunflower Meal in Compound Feedingstuffs , 2006, Applied spectroscopy.
[76] K. Bambery,et al. Infrared Based Saliva Screening Test for COVID‐19 , 2021, Angewandte Chemie.
[77] A. Perevolotsky,et al. Fecal NIRS prediction of dietary protein percentage and in vitro dry matter digestibility in diets ingested by goats in Mediterranean scrubland , 2005 .
[78] R. Tsenkova,et al. Near infrared spectroscopy of urine proves useful for estimating ovulation in giant panda (Ailuropoda melanoleuca) , 2010 .