Food & Feed Research


Volume 46, Issue 1
corn, endosperm, physical traits, chemical composition, amino acids, variation
TOOLS Creative Commons License
Marija S. Milašinović Šeremešić*1, Milica M. Radosavljević2, Jelena Ž. Srdić1, Zorica M. Tomičić1, Olivera M. Đuragić1
1University of Novi Sad, Institute of Food Technology in Novi Sad, 21000 Novi Sad, Bulevar cara Lazara1, Serbia
2Maize Research Institute „Zemun Polje“,11000 Belgrade Slobodana Bajića 1, Serbia


Physical quality traits (1000-kernel weight, density, milling response and soft endosperm portion), basic chemical (starch, protein, oil, cellulose and ash) and amino acids composition of ten ZP maize genotypes differing in kernel hardness and colour were studied. The objectives of this study were to characterize differences in ZP maize genotypes regarding to various physical traits and nutritional quality parameters such as basic chemical and amino acid composition and the data was correlated to find the interrelationship between these parameters. Kernel physical traits and chemical composition significantly varied among tested genotypes. A significant negative correlation was found between protein content and portion of soft endosperm as well as a significant positive correlation between protein content and two physical traits, milling response and density. Protein content showed a non-significant negative correlation with starch content. The results showed that the protein content exhibited negative correlation with lysine as well as positive correlation with methionine. It has not been observed a significant improvement in the amino acid composition regarding the specialty genotypes such as the selected white and red kernels and popping maize genotypes. The information presented in this study could be useful for the utilization improvement of maize kernel and the development of maize-based ingredients to prepare nutritious feed and food products.

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  1. Ai, Y., Jane, J. (2016). Macronutrients in corn and human nutrition. Comprehensive Reviews in Food Science and Food Safety, 15, 581-598.
  2. (AOAC) Association of Official Analytical Chemists (2000). Official Methods of Analysis, 17th international edition - AOAC International, Gaithersburg, MD., USA. Methods 923.03, 925.09, 930.15, 955.04, 960.39.
  3. (AOAC) Association of Official Analytical Chemists (1990). Official Methods of Analysis, Ed. K. Herlich, AOAC, Arlington, VA, pp. 70–84.
  4. Boisen, S., Hvelplund, T., Weisbjerg, M.R. (2000). Ideal amino acid profiles as a basis for feed protein evaluation. Livestock Production Science, 64, 239–251.
  5. CIMMYT (2003). The development and promotion of quality protein maize in sub-Saharan Africa. Progress report submitted to Nippon foundation. CIMMYT, Mexico.
  6. Coleman, C.E., Larkins, B.A. (1999). The prolamins of maize. In: Seed proteins, Eds. P.R. Shewry, R. Casey, Kluwer, Dordrecht, pp. 109–139.
  7. Correa, C.E., Shaver, R.D., Pereira, M.N., Lauer, J.G., Kohnt, K. (2002.). Relationship between corn vitreousness and ruminal in situ starch degradability. Journal of Dairy Science, 85, 3008-3012.
  8. Dupont, J., White, P.J., Carpenter, M.P., Schaefer, E.J., Meydani, S.N., Elson, C.E., Woods, M., Gorbach, S.L. (1990). Food uses and healtheffects of corn oil. Journal of the American College of Nutrition, 9, 438–470.
  9. Fox, G., Manley, M. (2009). Hardness methods for testing maize kernels. Journal of Agricultural and Food Chemistry, 57, 5647–5657.
  10. Harrigan, G.G., Stork, L.G., Riordan, S.G., Reynolds, T.L., Ridley, W.P., Masucci, J.D., MacIsaac, S., Halls, S.C., Orth, R., Smith, R.G., Wen, L., Brown, W.E., Welsch, M., Riley, R., McFarland, D., Pandravada, A., Glenn, K.C. (2007). Impact of genetics and environ-ment on nutritional and metabolite components of maize grain. Journal of Agricultural and Food Chemistry, 55 (15), 6177-6185.
  11. Huang, S., Frizzi, A., Florida, C.A., Kruger, D.E., Luethy, M.H. (2006). High lysine and high tryptophan transgenic maize resulting from the reduction of both 19- and 22-kD alpha-zeins. Plant Molecular Biology 61, 525-535.
  12. (ISO) International Organization for Standardization (1993). Agricultural food products. Determination of crude fibre. General method NF‐V03‐040 (status: certified standard ref. ISO 5498). Assn. Fr. De Normalisation, Paris.
  13. (ISO) International Organization for Standardization (1997). Determination of starch content—Ewers polarimetric method. International Standard: ISO 10520.
  14. Jaeger, S.L., Luebbe, M.K., Macken, C.N., Erickson, G.E., Klopfenstein, T.J., Fithian, W.A., Jackson, D.S. (2006). Influence of corn hybrid traits on digestibility and the efficiency of gain in feedlot cattle. Journal of  Animal Science, 84, 1790–1800.
  15. Kumar, S., Sarkar, A., Singh, R.P., Singh, R. (2018). Agro-environmental consequences of quality protein maize (QPM) hybrid development with special emphasis of soil nitrogen management. Plant Archives, 18 (1), 147-157.
  16. Milasinovic, M., Radosavljevic, M., Dokic, Lj., Jakovljevic, J. (2007). Wet-milling properties of ZP maize hybrids. Maydica, 52 (3), 289-292.
  17. Moore, S.M., Stadler, K.J., Beitz, D.C., Stahl, C.H., Fithian, W.A., Bregendahl, K. (2008). The correlation of chemical and physical corn kernel traits with growth performance and carcass characteristics in pigs. Journal of Animal Science, 86, 592–601.
  18. Muehlbauer, G.J., Gengenbach, B.G., Somers, D.A., Donovan, C.M. (1994). Genetic and amino-acid analysis of two maize threonine-overproducing, lysine-insensitive aspartate kinase mutants. Theoretical and Applied Genetics, 89, 767-774.
  19. Pomeranz, Y., Czuchjowska, Z., Martin, C.R., Lai, F. (1985). Determination of corn hardness by Stenvert hardness tester. Cereal Chemistry, 62, 108–110.
  20. Radosavljević, M., Milašinović Šeremešić, M., Terzić, D., Todorović, G., Pajić, Z., Filipović, M., Kaitović, Ž., Mladenović Drinić, S. (2012). Effects of hybrid on maize grain and plant carbohydrates. Genetika, 44 (3), 649-659.
  21. Radosavljević, M., Bekrić, V., Božović, I., Jakovljević, J. (2000). Physical and chemical properties of various corn genotypes as a criterion of technological quality. Genetika 32, 319-329.
  22. Radosavljevic, M., Bekric, V., Milasinovic, M., Pajic, Z., Filipovic, M., Todorovic, G. (2010). Genetic variability as background for the achievements and prospects of the maize utilisation development. Genetika, 42 (1), 119-136.
  23. Scott, M.P., Edwards, J.W., Bell, C.P., Schussler, J.R., Smith, J.S. (2006). Grain composition and amino acid content in maize cultivars representing 80 years of commercial maize varieties. Maydica, 51, 417-423.
  24. Semenčenko, V., Mojović, L., Đukić Vuković, A., Radosavljević, M., Terzić, D., Milašinović-Šeremešić, M. (2013). Suitability of some selected maize hybrids from Serbia for the production of bioethanol and dried distillers’ grains with solubles. Journal of the Science of Food and Agriculture, 93 (4), 811-818.
  25. Spackman, D.H., Stein, W.H., Moose, S. (1958). Automatic recording apparatus for use in the chromatography of amino acids. Analytical Chemistry, 30, 1190–1206.
  26. STATISTICA (Data Analysis Software System) (2018). v.13.3., Stat-Soft, Inc., USA (
  27. Thompson, R.A., Isaacs, G.W. (1967). Porosity determinations of grains and seeds with an air-comparison pycnometer. Transactions of the ASAE 10, 693-696.
  28. Wang, L., Xu, C., Qu, M., Zhang, J. (2008b). Kernel amino acid composition and protein content of introgression lines from Zea mays ssp. mexicana into cultivated maize. Journal of Cereal Science 48, 387-393.
  29. Wang, Z.H., Li, S.X., Malhi, S. (2008a). Effects of fertilization and other agronomic measures on nutritional quality of crops. Journal of the Science of Food and Agriculture, 88 (1), 7-23.
  30. Watson, S.A. (2003). Description, development, structure and composition of the corn kernel. In Corn: Chemistry and Technology, 2nd ed. Eds. J. White, L. Johnson, American Association of Cereal Chemists, St. Paul, MN, pp. 69−101.