Art

J-GLOBAL ID：202102243247166999   Reference number：21A0577850

Effect of Sample Preparation Methods on the Prediction Performances of Near Infrared Reflectance Spectroscopy for Quality Traits of Fresh Yam (Dioscorea spp.)

新鮮ヤム(Dioscorea spp.)の品質形質のための近赤外反射分光法の予測性能に及ぼす試料調製法の影響【JST・京大機械翻訳】

Author (5)： Alamu Emmanuel Oladeji (Food and Nutrition Sciences Laboratory, International Institute of Tropical Agriculture (IITA), Southern Africa Hub, Chelstone, P.O. Box 310142 Lusaka, Zambia) ,  Alamu Emmanuel Oladeji (Food and Nutrition Sciences Laboratory, International Institute of Tropical Agriculture (IITA), Oyo Road, Ibadan PMB 5320, Oyo State, Nigeria) ,  Adesokan Michael (Food and Nutrition Sciences Laboratory, International Institute of Tropical Agriculture (IITA), Oyo Road, Ibadan PMB 5320, Oyo State, Nigeria) ,  Asfaw Asrat (Yam Breeding Unit, International Institute of Tropical Agriculture (IITA), Oyo Road, Ibadan PMB 5320, Oyo State, Nigeria) ,  Maziya-Dixon Busie (Food and Nutrition Sciences Laboratory, International Institute of Tropical Agriculture (IITA), Oyo Road, Ibadan PMB 5320, Oyo State, Nigeria)
Material： Applied Sciences (Web)
Volume： 10  Issue： 17  Page： 6035  Publication year： 2020 
JST Material Number： U7135A  ISSN： 2076-3417  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： High throughput techniques for...

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Thesaurus term： crop (agriculture) ,  Genotype ,  dried food ,  Proteins ,  Starch ,  Phenotype ,  spectrum ,  tuber ,  *sample preparation ,  *Dioscorea ,  near infrared spectroscopy ,  partial least squares method ,  prediction accuracy ,  Yam
Semi thesaurus term： ハイスループット , 【Automatic Indexing@JST】

Author keywords (5)： Dioscorea alata ,  Dioscorea rotundata ,  quantitative prediction ,  tuber dry matter ,  starch

JST classification (1)： Vegetables and processed vegetable products  (FJ11020O)

Reference (33)：

• Darkwa, K.; Olasanmi, B.; Asiedu, R.; Asfaw, A. Review of empirical and emerging breeding methods and tools for Yam (Dioscorea spp.) improvement: Status and prospects. Plant Breed. 2020, 3, 474-497.
• FAO. FAOSTAT Database. 2018. Available online: http://bit.ly/NmQzZf (accessed on 30 November 2018).
• Baah, F.D.; Busie, M.D.; Asiedu, R.; Ibok, O. Physicochemical and pasting characterisation of water yam (Dioscorea spp.) and relationship with eating quality of pounded yam. J. Food Agric. Environ. 2009, 7, 107-111.
• USDA. National Nutrient Database for Standard Reference. Release 28 9 Slightly Revised. Available online: http://www.ars.usda.gov/ba/bhnrc/ndl (accessed on 5 November 2019).
• Odeku, O.A. Potentials of tropical starches as pharmaceutical excipients: A review. Starch-Stärke. 2013, 65, 89-106.

Terms in the title (6)： Dioscorea ,  SPP ,  形質 ,  近赤外反射分光法 ,  予測性能 ,  試料調製