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1.
Int J Mol Sci ; 13(4): 4186-4201, 2012.
Article in English | MEDLINE | ID: mdl-22605973

ABSTRACT

The influence of grain hardness, determined by using molecular markers and physical methods (near-infrared (NIR) technique and particle size index-PSI) on dough characteristics, which in turn were determined with the use of a farinograph and reomixer, as well as bread-making properties were studied. The material covered 24 winter wheat genotypes differing in grain hardness. The field experiment was conducted at standard and increased levels of nitrogen fertilization. Results of molecular analyses were in agreement with those obtained by the use of physical methods for soft-grained lines. Some lines classified as hard (by physical methods) appeared to have the wild-type Pina and Pinb alleles, similar to soft lines. Differences in dough and bread-making properties between lines classified as hard and soft on the basis of molecular data appeared to be of less significance than the differences between lines classified as hard and soft on the basis of physical analyses of grain texture. Values of relative grain hardness at the increased nitrogen fertilization level were significantly higher. At both fertilization levels the NIR parameter determining grain hardness was significantly positively correlated with the wet gluten and sedimentation values, with most of the rheological parameters and bread yield. Values of this parameter correlated with quality characteristics in a higher degree than values of particle size index.


Subject(s)
Bread/analysis , Dietary Proteins/analysis , Food Quality , Triticum/classification , Triticum/physiology , Glutens/analysis , Hardness , Phenotype , Plant Proteins/analysis , Triticum/genetics
2.
J Sci Food Agric ; 90(14): 2506-11, 2010 Nov.
Article in English | MEDLINE | ID: mdl-20718034

ABSTRACT

BACKGROUND: Triticale grain could be a useful material for bioethanol production. The aim of this study was to examine how grain cultivar, nitrogen fertilisation level, location and year affect the starch content in triticale grain and which method of starch determination, polarimetric, enzymatic or near-infrared transmission (NIT), gives the best prediction of real bioethanol productivity from triticale grain. RESULTS: It was found that the starch content in triticale grain was correlated positively with test weight and 1000-kernel weight but negatively with falling number and protein content. All factors, i.e. cultivar, nitrogen fertilisation level, location and year, as well as the intrinsic interaction between these factors, had a significant effect on the starch level in triticale grain. The NIT procedure of starch determination gave the best results in predicting the real yield of ethanol obtained on the basis of classic fermentation (95% match), while the enzymatic and polarimetric methods corresponded with the real results at levels of 89-90 and 78-82% respectively. CONCLUSION: Grain growth conditions related to location and nitrogen fertilisation level had the most noticeable effect on grain starch content, while grain yield per hectare had the most significant effect on ethanol productivity.


Subject(s)
Biofuels , Edible Grain/chemistry , Ethanol , Fertilizers , Nitrogen , Starch/analysis , Triticum/chemistry , Chemistry Techniques, Analytical/methods , Edible Grain/anatomy & histology , Edible Grain/growth & development , Plant Proteins/analysis
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