Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy.
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| Title: | Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy. |
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| Authors: | Burns MJ; Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN, 55108, USA., Renk JS; Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN, 55108, USA., Eickholt DP; PepsiCo R&D, St. Paul, MN, 55108, USA., Gilbert AM; Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN, 55108, USA., Hattery TJ; Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA, 50011, USA., Holmes M; Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN, 55108, USA., Anderson N; PepsiCo R&D, St. Paul, MN, 55108, USA., Waters AJ; PepsiCo R&D, St. Paul, MN, 55108, USA., Kalambur S; PepsiCo R&D, Plano, TX, 75024, USA., Flint-Garcia SA; United States Department of Agriculture, Agriculture Research Service, Columbia, MO, 65211, USA.; Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA., Yandeau-Nelson MD; Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA, 50011, USA., Annor GA; Department of Food Science and Nutrition, University of Minnesota, St Paul, MN, 55108, USA., Hirsch CN; Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN, 55108, USA. cnhirsch@umn.edu. |
| Source: | TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2021 Nov; Vol. 134 (11), pp. 3743-3757. Date of Electronic Publication: 2021 Aug 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 0145600 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2242 (Electronic) Linking ISSN: 00405752 NLM ISO Abbreviation: Theor Appl Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-2242 |
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| DOI: | 10.1007/s00122-021-03926-8 |
