Abstract:ABSTRACT. Quality is considered to be mainly related to protein and oil concentration in maize kernel. Great effort has been made through the elevation of oil and protein concentrations; however, studies to enhance the composition quality of oil have been limited. Maize genotypes with special fatty acid composition may confer different end uses and added value. We investigated eight maize inbreds for kernel quality and fatty acid composition. Kernel samples from a two-year experiment were analyzed for oil, pro… Show more
“…Thus, this method has commonly been used to evaluate combining abilities in maize breeding experiments in recent years (Mostavi et al, 2012;Badu-Apraku et al, 2013;Ruswandi et al, 2015). Additionally, the canonical discriminant analysis with yypothesis error (CDA-HE) plot has also been used to evaluate genotypes in breeding experiments for investigated traits (Egesel et al, 2011). Polar plot is a new method for heterosis analysis and gene action analysis (Lisec et al, 2011).…”
Graphical techniques have become important tools to show results of maize (Zea mays L.) breeding experiments in current literature. The present study compared different graphical techniques to determine the best parental lines and cross combinations for yield and kernel quality traits in maize breeding experiments. We measured single plant yield, protein content, oil content, carotenoid content, oleic acid, and linoleic acid in a 5 × 2 line × tester design. Genotype + genotype × environment (GE) biplot, principal component analysis (PCA) biplot, and polar plot were used to analyze data and compare them with conventional line × tester analysis. In the conventional analysis, parents with high means and positive general combining ability (GCA) values were A680 and HYA for single plant yield, IHP for protein content, IHO and HYA for oil content, A680 and Q2 for carotenoid content, IHP for oleic acid content, and A680 for linoleic acid content. The B73 tester exhibited positive GCA values for most investigated traits. The HYA × B73 combination was the best cross in terms of single plant yield, protein, and oil contents. Results showed that biplot methods had both advantages and disadvantages. The PCA biplots can be used alone while the GGE biplot and polar plots are both useful for combining ability, heterosis, and gene action analysis in a line × tester design. Overall, graphical analysis results were very similar to conventional analysis. Consequently, it was assumed that the graphical methods used could be useful to analyze/present data from maize breeding experiments carried out with a line × tester design.
“…Thus, this method has commonly been used to evaluate combining abilities in maize breeding experiments in recent years (Mostavi et al, 2012;Badu-Apraku et al, 2013;Ruswandi et al, 2015). Additionally, the canonical discriminant analysis with yypothesis error (CDA-HE) plot has also been used to evaluate genotypes in breeding experiments for investigated traits (Egesel et al, 2011). Polar plot is a new method for heterosis analysis and gene action analysis (Lisec et al, 2011).…”
Graphical techniques have become important tools to show results of maize (Zea mays L.) breeding experiments in current literature. The present study compared different graphical techniques to determine the best parental lines and cross combinations for yield and kernel quality traits in maize breeding experiments. We measured single plant yield, protein content, oil content, carotenoid content, oleic acid, and linoleic acid in a 5 × 2 line × tester design. Genotype + genotype × environment (GE) biplot, principal component analysis (PCA) biplot, and polar plot were used to analyze data and compare them with conventional line × tester analysis. In the conventional analysis, parents with high means and positive general combining ability (GCA) values were A680 and HYA for single plant yield, IHP for protein content, IHO and HYA for oil content, A680 and Q2 for carotenoid content, IHP for oleic acid content, and A680 for linoleic acid content. The B73 tester exhibited positive GCA values for most investigated traits. The HYA × B73 combination was the best cross in terms of single plant yield, protein, and oil contents. Results showed that biplot methods had both advantages and disadvantages. The PCA biplots can be used alone while the GGE biplot and polar plots are both useful for combining ability, heterosis, and gene action analysis in a line × tester design. Overall, graphical analysis results were very similar to conventional analysis. Consequently, it was assumed that the graphical methods used could be useful to analyze/present data from maize breeding experiments carried out with a line × tester design.
“…Turkey produces 2,200,000 tonnes annually of grain corn from about 575,000 ha of land (DaÈdelen et al, 2006). The food quality of corn products is directly related to the grain quality of the plant (Egesel et al, 2011).…”
In this study, surface soil and corn cob samples were collected from 15 different agricultural fields of Çanakkale, Turkey. These samples were analysed to determine the concentration of Cd, Cu, Mn, Ni, Pb and Zn. BCR sequential extraction was used to extract the binding forms of the metals in the soil samples. At the same time, a wet digestion method was used to determine the total concentration of heavy metals in soil and corn grain samples. The metal concentrations in the extracted phase were measured with flame atomic absorption spectrometer. The accuracy of the methods was confirmed by using BCR-701 and SRM1570a certified reference materials. The results revealed that the quantity of the mobile fractions (i.e., acid soluble, reducible, and oxidisable) of the Mn, Cd and Pb were higher than that of the immobile fractions (residual). This might be caused by the anthropogenic sources. Pearson's correlation was applied to determine the correlations between the selected physicochemical properties of soil samples and the amounts of heavy metals in each fraction. The pH, CaCO 3 and organic matter contents of soil samples played a dominant role in correlations of heavy metals in various forms and shapes. Hierarchical cluster analysis was applied to examine the relationships between the amount of heavy metal in each fraction of soil samples and the amount of heavy metal in corn grain. As a result, a firm correlation was detected between heavy metals in corn grain and more available (acid soluble and reducible) fractions. Current findings indicate that plants could uptake basically the heavy metals in acid soluble and reducible fractions. BCR sequential extraction not only provides information about potential heavy metal sources in detail and the potential mobility of heavy metals, but also provides information about the interactions between soil characteristics and metal fractions. This provides information on the bonding states of environmentally toxic metals (Cd, Cu, Mn, Ni, Pb and Zn) in the soil matrix, the amounts taken by the plants, and the intrusion means and rates of those metals into the food chain.
“…The typical maize kernel, on dry weight basis is composed of 61-78% of starch, 6-12% of proteins, 3.1-5.7% of oil, 1.0-3.0% of sugar and 1.1-3.9% of ash (Watson, 2003). In five different and recent studies on maize genotypes across the world protein content has been found to vary between 9.4-13%, 11.02-13.02%, 11.02-15.31%, 8.05-11.43% and 6.27-8.06%, while oil content has been found to vary between 3.32-4.70%, 2.56-5.57%, 4.39-9.71%, 3.80-5.02% and 2.7-5.2% respectively (Egesel et al, 2011, Aliu et al, 2012, Sanjeev et al, 2014, Scrob et al, 2014, Chibuike et al, 2015. In India, higher contents of oil (9.71%) and protein (15.31%) have been observed in sweet corn samples and attributed to shriveled grain texture because of an (Sanjeev et al, 2014) which is in consonance with our study.…”
Abstract:The aim of present study was to investigate protein, oil and fatty acid composition in 11 maize (Zea mays) genotypes collected from diverse locations in the hills of north western Indian Himalayan state of Jammu and Kashmir in order to get an idea about the extent of variability in these biochemical traits in the local germplasm. The study revealed significant variation in these quality traits. The protein content among the genotypes ranged from 10.7% to 18.7% while oil content varied between 2.26% and 4.80%. Higher protein content in some of the genotypes especially IC-0617877 (18.7%) and IC-0617880 (17.6%) is noteworthy. The saturated fatty acids of palmitic (C16:0), stearic (C18:0), arachidic (C20:0) and unsaturated fatty acids of oleic (C18:1), linoleic (C18:1) and elaidic (C18:1) were detected and quantified in these genotypes. Considerable variation has been recorded in fatty acid composition; 13.8-33.4% for palmitic acid, 21.5-48.1% for linoleic acid, 19.2-39% for oleic acid, 0.2-2.4% for elaidic acid, 2.5-8.5% for stearic acid and 0.1-6.6% for arachidic acid. Higher oleic acid content recorded in all the genotypes excepting IC-0617881 is a useful trait. Strikingly, highest oil (4.80%), palmitic acid (33.4%), stearic acid (8.5%) and arachidic acid (6.6%) contents have been recorded in this remarkably cold tolerant genotype with reddish yellow seeds containing moderate protein content of 13.8 %. The appreciable variation in these quality traits could be exploited in breeding programmes for improvement of this crop and opening up new opportunities for its food and industrial end uses.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.