Physical and Chemical Properties of Multiple Varieties of NERICA, Indica and Japonica Types of Rice for Assessing and Enhancing Quality

[1]  W. Haworth,et al.  Starch , 1940, Springer Japan.

[2]  J. C. Fletcher Protein Analysis , 2020, Definitions.

[3]  C. Villmann,et al.  Physical characteristics of the , 1972 .

[4]  S. Tanaka Seed Protein of Rice and Possibilities of its Improvement through Mutant Genes , 1983 .

[5]  D. Bechtel,et al.  The rice grain and its gross composition , 1985 .

[6]  J. Chrastil Protein-starch interactions in rice grains. Influence of storage on oryzenin and starch. , 1990 .

[7]  T. Siebenmorgen,et al.  Milling characteristics of various rough rice kernel thickness fractions , 1993 .

[8]  Yasunori Nakamura,et al.  Effect of grain location on the panicle on activities involved in starch synthesis in rice endosperm , 1994 .

[9]  B. O. Juliano,et al.  Rice amylose analysis by near-infrared transmittance spectroscopy , 1994 .

[10]  松江 勇次,et al.  Differences in Protein Content, Amylose Content and Palatability in Relation to Location of Grains within Rice Panicle. , 1994 .

[11]  B. D. Webb,et al.  Apparent amylose content of milled rice by near-infrared reflectance spectrophotometry , 1995 .

[12]  Y. Matsue,et al.  Differences in Amylose Content, Amylographic Characteristics and Storage Proteins of Grains on Primary and Secondary Rachis Branches in Rice. , 1995 .

[13]  B. D. Webb,et al.  Quality characteristics in rice by near-infrared reflectance analysis of whole-grain milled samples , 1996 .

[14]  R. Jain,et al.  Properties of Pearl Millet , 1997 .

[15]  Kazuhiko Itoh,et al.  DETERMINATION OF UNDRIED ROUGH RICE CONSTITUENT CONTENT USING NEAR-INFRARED TRANSMISSION SPECTROSCOPY , 1999 .

[16]  H. Corke,et al.  Prediction of rice starch quality parameters by near-infrared reflectance spectroscopy , 2001 .

[17]  Y. Matsue,et al.  The Palatability and Physicochemical Properties of Milled Rice for Each Grain-Thickness Group , 2001 .

[18]  Y. Nakamura,et al.  Mapping of a gene responsible for the difference in amylopectin structure between japonica-type and indica-type rice varieties , 2002, Theoretical and Applied Genetics.

[19]  F. E. Barton,et al.  Determination of Rapid Visco Analyser Parameters in Rice by Near-Infrared Spectroscopy , 2002 .

[20]  W. Fred McClure,et al.  204 Years of near Infrared Technology: 1800–2003 , 2003 .

[21]  A. Bart-Plange,et al.  The physical properties of Category B cocoa beans , 2003 .

[22]  D. Hillerislambers,et al.  Genetic and environmental variation in protein content of rice (Oryza sativa L.) , 1973, Euphytica.

[23]  W. Saenger The structure of the blue starch-iodine complex , 2004, Naturwissenschaften.

[24]  Tetsuya Horibata,et al.  Structural and Physicochemical Characteristics of Endosperm Starches of Rice Cultivars Recently Bred in Japan , 2004 .

[25]  A. McClung CHAPTER 2: THE RICE PLANT: GROWTH, DEVELOPMENT, AND GENETIC IMPROVEMENT , 2004 .

[26]  F. T. Wratten,et al.  CHAPTER 8: PHYSICAL AND MECHANICAL PROPERTIES OF RICE , 2004 .

[27]  F. E. Barton,et al.  Near-Infrared Spectroscopy for Determination of Protein and Amylose in Rice Flour Through Use of Derivatives , 2004 .

[28]  C. Shi,et al.  Prediction of grain weight, brown rice weight and amylose content in single rice grains using near-infrared reflectance spectroscopy , 2004 .

[29]  D. Himmelsbach,et al.  A Comparative Study of Fourier Transform Raman and NIR Spectroscopic Methods for Assessment of Protein and Apparent Amylose in Rice , 2004 .

[30]  A. Davies An Introduction to near Infrared Spectroscopy , 2005 .

[31]  H. Sekiguchi,et al.  Identification of QTLs Conferring Genetic Variation for Heading Date among Rice Varieties at the Northern-limit of Rice Cultivation , 2005 .

[32]  D. Jayas,et al.  Near-infrared spectroscopy: Applications in the grain industry , 2006 .

[33]  M. Natsuga,et al.  VISIBLE AND NEAR-INFRARED REFLECTANCE SPECTROSCOPY FOR DETERMINING PHYSICOCHEMICAL PROPERTIES OF RICE , 2006 .

[34]  J. Bao,et al.  Determination of apparent amylose content, pasting properties and gel texture of rice starch by near‐infrared spectroscopy , 2007 .

[35]  P. Seck How to increase the impact of agricultural research for development in Africa: the case of NERICA , 2007 .

[36]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[37]  M. Fitzgerald,et al.  Addressing the Dilemmas of Measuring Amylose in Rice , 2009 .

[38]  Y. Nitta Japanese Rice Producers' Shift from High Yield to High Palatability and Quality -Characteristics of Highly Palatable Rice- , 2010 .

[39]  M. Fitzgerald,et al.  Important Sensory Properties Differentiating Premium Rice Varieties , 2010, Rice.

[40]  W. Park,et al.  Polymorphism in the GBSS gene affects amylose content in US and European rice germplasm , 2010 .

[41]  K. R. Bhattacharya An introduction to rice: its qualities and mysteries. , 2011 .

[42]  K. R. Bhattacharya Milling quality of rice , 2011 .

[43]  T. Umemoto,et al.  Properties of Endosperm Starches and Physical Properties of Cooked Rice from Japanese Upland Rice Cultivars Containing M-type Amylopectin , 2011 .

[44]  Qiang Liu,et al.  Potentiometric titration for determination of amylose content of starch – A comparison with colorimetric method , 2012 .

[45]  K. Ohtsubo,et al.  Quality Evaluation of Rice Crackers Based on Physicochemical Measurements , 2012, Bioscience, biotechnology, and biochemistry.

[46]  V. Giovenzana,et al.  Chemometrics in Food Technology , 2012 .

[47]  Y. Fukuta,et al.  Genetic characterization of rainfed upland New Rice for Africa (NERICA) varieties , 2012, Breeding science.

[48]  Y. Ozaki,et al.  Near-Infrared Spectroscopy—Its Versatility in Analytical Chemistry , 2012, Analytical sciences : the international journal of the Japan Society for Analytical Chemistry.

[49]  M. Wopereis,et al.  From WARDA to AfricaRice: an overview of rice research for development activities conducted in partnership in Africa , 2013 .

[50]  Nanning Cao,et al.  Calibration optimization and effic iency in near infrared spectroscopy , 2013 .

[51]  B. Dobrzanski,et al.  Physical Properties of Seeds in Technological Processes , 2013 .

[52]  A guide to near-infrared spectroscopic analysis of industrial manufacturing processes , 2013 .

[53]  D. Fujita,et al.  NAL1 allele from a rice landrace greatly increases yield in modern indica cultivars , 2013, Proceedings of the National Academy of Sciences.

[54]  S. Jagadish,et al.  Rice and climate change: significance for food security and vulnerability , 2013 .

[55]  D. Cozzolino,et al.  A Review on the Role of Vibrational Spectroscopy as An Analytical Method to Measure Starch Biochemical and Biophysical Properties in Cereals and Starchy Foods , 2014, Foods.

[56]  D. Cozzolino An overview of the use of infrared spectroscopy and chemometrics in authenticity and traceability of cereals , 2014 .

[57]  M. Manley Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials. , 2014, Chemical Society reviews.

[58]  C. Hurburgh,et al.  Limitations and current applications of Near Infrared Spectroscopy for single seed analysis. , 2014, Talanta.

[59]  Victor Kiaya POST-HARVEST LOSSES AND STRATEGIES TO REDUCE THEM , 2014 .

[60]  S. Muthayya,et al.  An overview of global rice production, supply, trade, and consumption , 2014, Annals of the New York Academy of Sciences.

[61]  B. Hamaker,et al.  Effects of ripening temperature on starch structure and gelatinization, pasting, and cooking properties in rice (Oryza sativa). , 2015, Journal of agricultural and food chemistry.

[62]  Reinhold Carle,et al.  On-line application of near infrared (NIR) spectroscopy in food production , 2015 .

[63]  Lin Lu,et al.  Determination of Apparent Amylose Content in Rice by Using Paper-Based Microfluidic Chips. , 2015, Journal of agricultural and food chemistry.

[64]  Shuso Kawamur Physical Properties of Rough and Brown Rice of Japonica, Indica and NERICA Types , 2015 .

[65]  J. D. Wilson,et al.  Development of a 96-well plate iodine binding assay for amylose content determination. , 2015, Carbohydrate polymers.

[66]  M. Dugan Rice , 2015 .

[67]  F. Marini,et al.  Validation of chemometric models - a tutorial. , 2015, Analytica chimica acta.

[68]  Mark E. Reeves,et al.  Scikit-spectra: Explorative Spectroscopy in Python , 2015 .

[69]  K. Ebana,et al.  Variation in cooking and eating quality traits in Japanese rice germplasm accessions , 2016, Breeding science.

[70]  S. Yamaguchi,et al.  Glutelin is partially degraded in globulin-less mutants of rice (Oryza sativa L.) , 2016 .

[71]  Kato Mizuki,et al.  Determination of Rice Amylose Content by Combined Use of a Near-infrared Spectrometer and a Visible Light Segregator , 2016 .

[72]  G. Singleton,et al.  Post-harvest impacts of rodents in Myanmar; how much rice do they eat and damage? , 2017, Pest management science.

[73]  H. Corke,et al.  Genotypic diversity and environmental stability of starch physicochemical properties in the USDA rice mini-core collection. , 2017, Food chemistry.

[74]  Noriko Kinoshita,et al.  Identification of quantitative trait loci for rice grain quality and yield-related traits in two closely related Oryza sativa L. subsp. japonica cultivars grown near the northernmost limit for rice paddy cultivation , 2017, Breeding science.

[75]  N. L. Vanier,et al.  Starch digestibility and molecular weight distribution of proteins in rice grains subjected to heat-moisture treatment. , 2017, Food chemistry.

[76]  P. Kalita,et al.  Reducing Postharvest Losses during Storage of Grain Crops to Strengthen Food Security in Developing Countries , 2017, Foods.

[77]  N. Aoki,et al.  Differences in Viscosity of Superior and Inferior Spikelets of Japonica Rice with Various Percentages of Apparent Amylose Content. , 2017, Journal of agricultural and food chemistry.

[78]  K. Ohtsubo,et al.  Evaluation of Palatability of Cooked Rice , 2017 .