scholarly journals Genetic Variation for Biofortifying The Maize Grain

2016 ◽  
Vol 4 (8) ◽  
pp. 684 ◽  
Author(s):  
Gönül Cömertpay ◽  
Faheem Shehzad Baloch ◽  
Halil Erdem
Keyword(s):  
Starch Content ◽  
Principal Component ◽  
Mineral Elements ◽  
Quality Traits ◽  
Maize Breeding ◽  
Mineral Contents ◽  
Maize Germplasm ◽  
Geographical Regions ◽  
Maize Landraces ◽  
Maize Grain

The maize germplasm variation is valuable for breeders to develop elite hybrids with increased mineral contents in the maize grain to eliminate mineral malnutrition, which is referred as HIDEN HUNGER. Therefore, we aimed to determine mineral element diversity of maize landraces collected from different geographical regions of Turkey. There was huge diversity for all mineral traits and other quality traits. Turkish maize landraces showed high variation for Zn (17-41.34 mg kg-1), Fe (13.52-29.63 mg kg-1), Cu (0.77-3.34 mg kg-1), Mn (5.68-14.78 mg kg-1), Protein (6.6-11.6%), starch content (73.3-80.0%), oil content (3.15-4.7%) and thousand grain weight (177.0-374.9g). There were significant positive and negative associations among mineral elements and quality traits. The principal component analysis differentiated some maize landraces from the rest, and these diverse landraces could be used in the maize breeding program with biofortification purpose.

scholarly journals Effect of cultivar and year of harvest on the mineral composition of Algerian extra-virgin olive oils

2020 ◽  
Vol 18 (1) ◽  
pp. e0901
Author(s):  
Karima Benamirouche-Harbi ◽  
Sonia Keciri ◽  
Zohir Sebai ◽  
Hicham Benamirouche ◽  
Lilya Boudriche
Keyword(s):  
Mineral Composition ◽  
Mineral Content ◽  
Graphite Furnace ◽  
Principal Component ◽  
Absorption Spectrometry ◽  
Mineral Elements ◽  
Technical Institute ◽  
Mineral Contents ◽  
Virgin Olive Oils ◽  
Olive Oils

Aim of study: To evaluate the effect of cultivar and year of harvest on the content of mineral elements of Algerian extra virgin olive oils.Area of study: Technical Institute of Arboriculture of Fruits and Vine (TIAFV), Bejaia, Algeria.Material and methods: The mineral contents of extra virgin olive oils from ten cultivars during two consecutive campaigns 2014/2015 and 2015/2016 were determined using atomic absorption spectrometry and absorption in a graphite furnace after microwave-assisted acid digestion. Principal component analysis was applied to correlate the mineral content with cultivar type and year of harvest.Main results: Mean concentrations for Fe, Zn, Cu, Na, K, Mg, As and Co in samples were observed in the range of 1.640-13.213, 1.546-32.866, 1.375-3.337, 19.666-104.720, 4.573-117.133, 0.120-2.560, 0.006-0.146 and 0.002-0.051 μg g-1, respectively. The first three principal components retained 76.25% of the variance. The determinants of the effect of cultivar type and year of harvest were Fe and Na; Mg, Co and As, respectively.Research highlights: The study showed that mineral composition of the olive oils was mainly determined by the cultivar and the year of harvest.

scholarly journals ANALYSIS OF THE GENETIC DIVERSITY IN MAIZE LANDRACE CULTIVARS FROM NORTHERN RIO GRANDE DO SUL, BRAZIL

2020 ◽  
Vol 19 ◽  
pp. 12
Author(s):  
JÉSSICA ARGENTA ◽  
JEFFERSON GONÇALVES ACUNHA ◽  
BIANCA OLIVEIRA MACHADO ◽  
ARIEL RIZZARDO ◽  
NORYAM BERVIAN BISPO
Keyword(s):  
Clustering Analysis ◽  
Principal Component ◽  
Multivariate Statistical Methods ◽  
Maize Breeding ◽  
Multivariate Statistical ◽  
Maize Landrace ◽  
Maize Landraces ◽  
Graphical Integration ◽  
Northern Rio Grande ◽  
Landrace Accessions

Maize landraces are important genetic resources for maize breeding. Many of these landrace varieties have not yet been properly studied in order to be distinguished from the others.  In this study, multivariate statistical methods were used, beyond the analysis of variance, for estimating genetic dissimilarity among 27 maize landrace accessions. Principal component analysis and clustering analysis were performed using 16 evaluated quantitative characters. The ANOVA results reported the existence of significant differences among the tested accessions for 14 evaluated characters. Two principal components almost explained 49% of found experimental variance. Four different clusters were formed by the used clustering analysis, whose results were plotted into a dendrogram. The graphical integration of this dendrogram with the PCA allowed to conclude that the variation found may be due to the genotypic distinctions existing among the four groups of accesses determined in this study.

scholarly journals Evaluation of indigenous aromatic rice cultivars from sub-Himalayan Terai region of India for nutritional attributes and blast resistance

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Debayan Mondal ◽  
Prudveesh Kantamraju ◽  
Susmita Jha ◽  
Gadge Sushant Sundarrao ◽  
Arpan Bhowmik ◽  
...  
Keyword(s):  
Nutritive Value ◽  
Amylose Content ◽  
Blast Resistance ◽  
Starch Content ◽  
Low Cost ◽  
Principal Component ◽  
Blast Disease ◽  
Basmati Rice ◽  
Phenotypic Traits ◽  
Rice Cultivars

AbstractIndigenous folk rice cultivars often possess remarkable but unrevealed potential in terms of nutritional attributes and biotic stress tolerance. The unique cooking qualities and blissful aroma of many of these landraces make it an attractive low-cost alternative to high priced Basmati rice. Sub-Himalayan Terai region is bestowed with great agrobiodiversity in traditional heirloom rice cultivars. In the present study, ninety-nine folk rice cultivars from these regions were collected, purified and characterized for morphological and yield traits. Based on traditional importance and presence of aroma, thirty-five genotypes were selected and analyzed for genetic diversity using micro-satellite marker system. The genotypes were found to be genetically distinct and of high nutritive value. The resistant starch content, amylose content, glycemic index and antioxidant potential of these genotypes represented wide variability and ‘Kataribhog’, ‘Sadanunia’, ‘Chakhao’ etc. were identified as promising genotypes in terms of different nutritional attributes. These cultivars were screened further for resistance against blast disease in field trials and cultivars like ‘Sadanunia’, ‘T4M-3-5’, ‘Chakhao Sampark’ were found to be highly resistant to the blast disease whereas ‘Kalonunia’, ‘Gobindabhog’, ‘Konkanijoha’ were found to be highly susceptible. Principal Component analysis divided the genotypes in distinct groups for nutritional potential and blast tolerance. The resistant and susceptible genotypes were screened for the presence of the blast resistant pi genes and association analysis was performed with disease tolerance. Finally, a logistic model based on phenotypic traits for prediction of the blast susceptibility of the genotypes is proposed with more than 80% accuracy.

An energy dispersive X-ray fluorescence spectrometry approach for the identification of geographical origin of wheat flour

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Tong Chen ◽  
Xingpu Qi ◽  
Zaiyong Si ◽  
Qianwei Cheng ◽  
Hui Chen
Keyword(s):  
Principal Component Analysis ◽  
Wheat Flour ◽  
Principal Component ◽  
Component Analysis ◽  
Mineral Elements ◽  
Energy Dispersive ◽  
Fluorescence Spectrometry ◽  
Energy Channel ◽  
X Ray ◽  
Different Origins

Abstract In this work, a method was established for discriminating geographical origins of wheat flour based on energy dispersive X-ray fluorescence spectrometry (ED-XRF) and chemometrics. 68 wheat flour samples from three different origins were collected and analyzed using ED-XRF technology. Firstly, the principal component analysis method was applied to analyze the feasibility of discrimination and reduce data dimensionality. Then, Competitive Adaptive Reweighted Sampling (CARS) was used to further extract feature variables, and 12 energy variables (corresponding to mineral elements) were identified and selected to characterize the geographical attributes of wheat flour samples. Finally, a non-linear model was constructed using principal component analysis and quadratic discriminant analysis (QDA). The CARS-PCA-QDA model showed that the accuracy of five-fold cross-validation was 84.25%. The results showed that the established method was able to select important energy channel variables effectively and wheat flour could be classified based on geographical origins with chemometrics, which could provide a theoretical basis for unveiling the relationship between mineral element composition and wheat origin.

scholarly journals Nutritional Changes and Early Warning of Moldy Rice under Different Relative Humidity and Storage Temperature

Foods ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 185
Author(s):  
Jing Du ◽  
Yingxue Lin ◽  
Yuan Gao ◽  
Yanyan Tian ◽  
Jixiang Zhang ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Relative Humidity ◽  
Early Warning ◽  
Storage Temperature ◽  
Starch Content ◽  
Protein Secondary Structure ◽  
Principal Component ◽  
Storage Conditions ◽  
Factors Affecting ◽  
Total Starch

Processed unhusked rice is prone to mildew during storage. In this study, the storage conditions were simulated at temperatures of 20, 30, and 35 °C and a relative humidity of 40%, 60% and 80%, respectively. The water, fatty acid, and total starch content and the peak viscosity, mold colony number, protein secondary structure, and spatial structure of rice were monitored in order to propose the critical point of mildew during storage. In the process of rice from lively to moldy, the water content, fatty acid contents and the peak viscosity were increased. The total starch content decreased and then showed a slow increasing trend, while the microstructure of the powder particles changed from smooth and complete to loosen and hollow. With the increase in storage time, the vibration of the amide Ⅰ band of the rice samples decreased slightly, indicating that the total contents of β-fold, β-turn, α-helix, and random curl of the rice protein also changed. PCA (Principal Component Analysis) analysis showed that rice mildew index was closely related to temperature and humidity during storage. In our investigation, the best and most suitable temperature and relative humidity for rice storge is 20 °C and 40%, respectively. These results suggested that temperature and environmental humidity are vital factors affecting the physicochemical properties and nutrient changes, which provides a theoretical basis for the early warning of rice mildew during storage.

scholarly journals Morphological evaluation of common bean diversity in Bosnia and Herzegovina using the discriminant analysis of principal components (DAPC) multivariate method

Genetika ◽  
2013 ◽  
Vol 45 (3) ◽  
pp. 963-977 ◽  
Author(s):  
Jasmin Grahic ◽  
Fuad Gasi ◽  
Mirsad Kurtovic ◽  
Lutvija Karic ◽  
Mirha Djikic ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Common Bean ◽  
Bosnia And Herzegovina ◽  
Principal Components ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Discriminant Functions ◽  
Factor Loadings ◽  
Geographical Regions ◽  
High Level

In order to analyze morphological characteristics of locally cultivated common bean landraces from Bosnia and Herzegovina (B&H), thirteen quantitative and qualitative traits of 40 P. vulgaris accessions, collected from four geographical regions (Northwest B&H, Northeast B&H, Central B&H and Sarajevo) and maintained at the Gene bank of the Faculty of Agriculture and Food Sciences in Sarajevo, were examined. Principal component analysis (PCA) showed that the proportion of variance retained in the first two principal components was 54.35%. The first principal component had high contributing factor loadings from seed width, seed height and seed weight, whilst the second principal component had high contributing factor loadings from the analyzed traits seed per pod and pod length. PCA plot, based on the first two principal components, displayed a high level of variability among the analyzed material. The discriminant analysis of principal components (DAPC) created 3 discriminant functions (DF), whereby the first two discriminant functions accounted for 90.4% of the variance retained. Based on the retained DFs, DAPC provided group membership probabilities which showed that 70% of the accessions examined were correctly classified between the geographically defined groups. Based on the taxonomic distance, 40 common bean accessions analyzed in this study formed two major clusters, whereas two accessions Acc304 and Acc307 didn?t group in any of those. Acc360 and Acc362, as well as Acc324 and Acc371 displayed a high level of similarity and are probably the same landrace. The present diversity of Bosnia and Herzegovina?s common been landraces could be useful in future breeding programs.

scholarly journals Relationships of a Detailed Mineral Profile of Meat with Animal Performance and Beef Quality

2019 ◽  
Author(s):  
Nageshvar Patel ◽  
Matteo Bergamaschi ◽  
Luciano Magro ◽  
Andrea Petrini ◽  
Giovanni Bittante
Keyword(s):  
Meat Quality ◽  
Quality Traits ◽  
Meat Color ◽  
Individual Animal ◽  
Animal Performance ◽  
Latent Factors ◽  
Mineral Contents ◽  
Meat Quality Traits ◽  
Mineral Profile ◽  
Color Traits

Mineral profile of beef interests human health, but also animal performance and meat quality. This study analyzes the relationships of 20 minerals in beef (ICP-OES) with 3 animal performance and 13 meat quality traits analyzed on 182 samples of Longissimus thoracis. Animals’ breed and sex showed limited effects. The major sources of variation (farm/date of slaughter, individual animal within group and side/sample within animal) differed greatly from trait to trait. Mineral contents were correlated to animal performance and meat quality being significant 52 out of the 320 correlations at the farm/date level, and 101 out of the 320 at the individual animal level. Five latent factors explained 69% of mineral co-variation. The most important, “Mineral quantity” factor correlated with age at slaughter and with the meat color traits. Two latent factors (“Na+Fe+Cu” and “Fe+Mn”) correlated with performance and meat color traits. Two other (“K-B-Pb” and “Zn”) correlated with meat chemical composition and the latter also with carcass weight and daily gain, and meat color traits. Meat cooking losses correlated with “K-B-Pb”. Latent factor analysis appears be a useful means of disentangling the very complex relationships that the minerals in meat have with animal performance and meat quality traits.

Identification of molecular markers for starch content in barley (Hordeum vulgare L.) by genome-wide association studies based on bulked samples

2020 ◽  
Vol 18 (3) ◽  
pp. 111-119
Author(s):  
Yinghu Zhang ◽  
Haiye Luan ◽  
Hui Zang ◽  
Hongyan Yang ◽  
Xiao Xu ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Association Studies ◽  
Starch Content ◽  
Principal Component ◽  
Mixed Linear Model ◽  
High Linkage Disequilibrium ◽  
Snp Markers ◽  
Genome Wide Association Studies ◽  
Hordeum Vulgare L ◽  
Growing Seasons

AbstractStarch content is an important trait in barley. To evaluate the genetic diversity and identify molecular markers of starch content in barley, 40 cultivated barley genotypes collected from different regions, including genotypes whose starch content is at either the high or low end of the spectrum (15), were used in this study. All the genotypes were re-sequenced by the double-digest-restriction associated DNA sequencing method, and a total of 299,103 single-nucleotide polymorphism (SNP) markers were obtained. The genotypes were divided into four sub-populations based on FASTSTRUCTURE, principal component analysis and neighbour-joining tree analysis. All four sub-populations had a high linkage disequilibrium, especially group 3, whose members were recently bred for malting in the Jiangsu coastal area. The starch content of the barley lines was evaluated during three growing seasons (2014–2017), and the average values of starch content across the three growing seasons at the low and high ends were 51.5 and 55.0%, respectively. The starch content was affected by population structure, the barley in group 2 had a low starch content, while the barley in group 4 had a high starch content. Twenty-six SNP markers were identified as being significantly associated with starch content (P ⩽ 0.001) based on the average values across the three growing seasons using the mixed linear model method. These SNP markers were located on chromosomes 1H and 4H, and were considered loci of qSC1-1 and qSC4-1, respectively. The major identified QTLs for starch content are helpful for further research on carbohydrates and for barley breeding.

scholarly journals Stability of quality traits in winter wheat cultivars

2009 ◽  
Vol 27 (No. 6) ◽  
pp. 403-417 ◽  
Author(s):  
D. Mikulíková ◽  
Š. Masár ◽  
V. Horváthová ◽  
J. Kraic
Keyword(s):  
Winter Wheat ◽  
Starch Content ◽  
Kernel Weight ◽  
Quality Traits ◽  
Wheat Cultivars ◽  
Vegetative Period ◽  
Volume Weight ◽  
Winter Wheat Cultivars ◽  
The Stability ◽  
Better Than

We investigated the stability of 15 traits of quality in 45 winter wheat cultivars grown in two seasons in the Borovce locality of Slovakia. The gluten swelling, SDS test, starch content, α-amylase (α-AMS) activity, and volume weight were affected simultaneously by the cultivar, growing year, and the country of origin. Other traits were affected by only one or two of these factors. The English cultivars, when compared to the Slovak cultivars, demonstrated lower gluten swelling and volume weight, a higher α-AMS activity, and a longer vegetative period. We observed a higher α-AMS activity in the Czech, a lower starch content in the Austrian, and a longer vegetative period in the German cultivars. In the Hungarian cultivars, we detected a lower starch and a reduced amylose contents. The most stable quality traits in both growing years were identified in the Ilona (gluten swelling), Spartakus (SDS test), Cubus (falling number), Komfort (starch), GK Margit (amylose), GK Verecke (α-AMS), Saturnus (volume weight), and Vanda (thousand-kernel weight) cultivars. Other traits, such as protein, wet gluten, sedimentation index, grain hardness, grain weight per spike, grain yield, and duration of the vegetative period, were strongly affected by the environment (growing year). The foreign cultivars such as the Komfort (AUT), Saturnus (AUT), GK Rába (HUN), GK Csongrád (HUN), Silvius (AUT), GK Bagoly (HUN), and GK Forrás (HUN) were superior for growing in Slovakia. Each of them had more quality traits that were stable, comparable, and ultimately better than the control Slovak cultivars.

scholarly journals Nutritional qualities assessment of locally processed spaghetti

2016 ◽  
Vol 5 (1) ◽  
pp. 5
Author(s):  
Bitrus Tukura ◽  
Joseph Daniel Gbubele ◽  
Swaiba Mamman
Keyword(s):  
Moisture Content ◽  
Crude Protein ◽  
Zinc Content ◽  
Mineral Elements ◽  
Crude Fiber ◽  
Nutritional Properties ◽  
Mineral Contents ◽  
Standard Methods ◽  
Nutritional Qualities ◽  
Low Levels

The quest for cheap and quality food is on the increase, especially during economy crises. Some nutritional properties of the raw and cooked local and industrial spaghetti were determined using standard methods. Concentrations of mineral elements were determined using atomic absorption spectrophotometer. Total ash (0.98±007 %), crude protein (14.28±0.15 %) and carbohydrate (77.95±0.11 %) levels in the raw industrial spaghetti were higher compared to the locally processed raw spaghetti. Carbohydrate and moisture levels for both processed spaghetti increased on cooking, while total ash and protein contents decreased. Crude fiber (0.009±0.00 %), carbohydrate (77.52±0.21 %) and moisture levels in the cooked local spaghetti were higher than in the cooked industrial spaghetti. Proximate contents of the local and industrial raw spaghetti were significantly (P ≤ 0.05) different. Concentrations of mineral elements in the raw locally processed spaghetti were lower than in the industrial spaghetti. Low levels of functional properties were recorded in the local spaghetti. Cooking decreased zinc content in the spaghetti, but significantly (P ≤ 0.05) increased the moisture content, crude fiber, carbohydrate and mineral contents. The spaghetti processed locally may serve as an alternative to the industrial spaghetti.

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