Lars M Munck af Rosenschøld
Professor emeritus.
Chemometrics and Analytical Technology
Rolighedsvej 26
1958 Frederiksberg C
- 2009
- Published
Breeding for quality traits in cereals : a revised outlook on old and new tools for integrated breeding. / Munck, Lars.
Cereals. ed. / Marcelo J. Carena. Springer, 2009. p. 333-366 (Handbook of plant breeding, Vol. 3).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Bulk functionality diversification by unsupervised single-kernel near-infrared (SKNIR) sorting of wheat. / Tønning, Erik; Thybo, Anette Kistrup; Pedersen, L.; Munck, Lars; Hansen, Åse Solvej; Tøgersen, Frede Aakmann; Engelsen, Søren Balling; Nørgaard, Lars.
In: Cereal Chemistry, Vol. 86, No. 6, 2009, p. 706-713.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Cereals and cereal products : chapter 11. / Jespersen, Birthe P Møller; Munck, Lars.
Infrared spectroscopy for food quality analysis and control. ed. / Da-Wen Sun. Academic Press, 2009. p. 275-319.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
- Published
From discovery of high lysine barley endosperm mutants in the 1960-70s to new holistic spectral models of the phenome and of pleiotropy in 2008. / Munck, Lars; Jespersen, Birthe P Møller.
Induced plant mutations in the genomics era. ed. / Q.Y. Shu. Food and Agriculture Organization of the United Nations, 2009. p. 419-422.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
The multiple uses of barley endosperm mutants in plant breeding for quality and for revealing functionality in nutrition and food technology. / Munck, Lars; Jespersen, Birthe P Møller.
Induced plant mutations in the genomics era. ed. / Q.Y. Shu. Food and Agriculture Organization of the United Nations, 2009. p. 182-186.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 22297254
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Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design
Research output: Contribution to journal › Journal article › Research › peer-review
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