Semi-quantitative analysis for selecting Fe- and Zn-dense genotypes of staple food crops.

Abstract

Four semi-quantitative screening methods were developed for plant breeding purposes to identify iron (Fe) and zinc (Zn)-dense genotypes in germplasm, elite lines and early generation progeny. Methods include colour image analysis for Fe and Zn in wheat and rice grains, and spectrophotometric analysis of Fe and Zn in ground flour of rice, wheat, potato, sweet potato and cassava. Staining with 71 mM Perl's Prussian blue solution (PPB) and subsequent image analysis with Adobe Photoshop® to determine pixel numbers in the stained regions lead to the quantification of Fe. Due to differences in grain size between the genotypes evaluated, correlations between inductively coupled plasma-optical emission spectrophotometry (ICP-OES) Fe and PPB derived Fe were improved by standardizing according to grain weight. The ratio of total blue pixel number (TPN)/total grain weight (TGW) of 21 rice lines correlated (r=0.84, p

Citation

Journal of Food Composition and Analysis (2007) 20 (6) 496-505 [doi: 10.1016/j.jfca.2007.01.004]

Semi-quantitative analysis for selecting Fe- and Zn-dense genotypes of staple food crops.

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