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Chemical Traits (chemical + trait)
Selected AbstractsMagnetic resonance imaging as a predictive tool for sensory characteristics and intramuscular fat content of dry-cured loinJOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, Issue 4 2003Teresa Antequera Abstract A novel methodology to non-invasively and objectively predict sensory traits and intramuscular fat content of dry-cured Iberian loins was studied. Texture analysis of magnetic resonance images was performed on 47 dry-cured Iberian loins. Appearance and texture traits were assessed by a 18-member trained panel, and intramuscular fat content was chemically extracted and quantified for the same samples. Three classes of dry-cured loin according to each sensory and chemical trait were established (low, medium and high). Using the texture features selected by the floating search method (FSM), a system accuracy of 83% for intramuscular fat content and not lower than 70% for all sensory traits was obtained. These results are encouraging for the application of this methodology, allowing in situ, automatic, objective and non-destructive classification of loins. © 2003 Society of Chemical Industry [source] Diversity examination based on physical, technological and chemical traits in a locally grown landrace of faba bean (Vicia faba L. var. major)INTERNATIONAL JOURNAL OF FOOD SCIENCE & TECHNOLOGY, Issue 12 2009Giovanni Avola Summary Fifteen accessions of a locally adapted Sicilian population (,Larga di Leonforte') of faba bean were evaluated for their physical and technological properties and chemical composition. Results showed a high seed weight (1000 seed weight around 2500 × g) along with a great seed size with wide variability among accessions. When all data were combined, the seeds initial water uptake was 0.21 g min,1. Differences between accessions were found in hydration capacity (ranging between 133% and 160%) and retainable firmness after 40 min of cooking (ranging between 18.8 and 13.6 N cm,2). In addition, the average contents of 46.0, 25.2 and 2.6 g 100 g,1 dry weight basis were ascertained for starch, protein and tannin, respectively, with considerable variation among accessions. The result's interpretation, carried out through a methodological approach based on multivariate analysis, seem to support the view that parameters such as seed dimension, starch, protein and tannin content, can be effectively adopted as elements of comparison among landraces in grain legumes. [source] Genetic and chemical assessment of Arbequina olive cultivar grown in Córdoba province, ArgentinaJOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, Issue 3 2009Mariela M Torres Abstract BACKGROUND: Thirty-eight accessions of olive (Olea europaea L.) originating from Córdoba province (Argentina) and preliminarily identified as belonging to the Arbequina variety were genotyped using AFLP (amplified fragment length polymorphism) DNA markers. Also, the oil chemical composition was studied during three consecutive crop years. The objectives of the work were (a) to investigate genetic intra-cultivar diversity and (b) to evaluate the oil chemical composition and compare it with that of Arbequina oil produced in Spain. RESULTS: The 19 primer combinations employed to perform the AFLP analysis produced 98 polymorphic bands. A reduced genetic heterogeneity was obtained, confirming that (a) the selected accessions belong to the Arbequina variety and (b) the traditional vegetative propagation practice has caused low genetic erosion in this variety cultivated in Córdoba. The main features that characterise the Argentinian Arbequina oils studied are the lower content of oleic acid and higher levels of phenolics and high-molecular-weight volatile compounds compared with those found in Spanish Arbequina oils. CONCLUSION: In spite of the small proportion of intra-cultivar variability, the Arbequina variety grown in Argentina produces oils with different chemical traits from those obtained in the original Spanish growing region. These differences can be attributed mainly to the particular environmental conditions of the olive-growing areas in these countries. Copyright © 2008 Society of Chemical Industry [source] Within population variation and interrelationships between morphology, nutritional content, and secondary compounds of Rhamnus alaternus fruitsNEW PHYTOLOGIST, Issue 2 2002Ido Izhaki Summary ,,We studied within-species variation in and interrelations among morphological and chemical traits of ripe Mediterranean buckthorn ( Rhamnus alaternus ) fruit, a bird-dispersed species. ,,Principal component analysis revealed that larger fruits tended to be relatively rich in nonstructural carbohydrates (NSC), water and P but poor in protein and most minerals. Small fruits tended to be relatively rich in protein, structural carbohydrates, K and Zn while intermediate size fruits tended to be rich in lipids, Mg and Ca. Variation in chemical traits (organic compounds and minerals) was typically much higher than in morphological traits (e.g. fruit size) with the exception of NSC and water content, which varied little. This discrepancy might be explained by differences in environmental conditions between plant microsites that imposed greater variability on fruit nutrient composition than on fruit-morphological traits; and by lower selective pressure by birds on fruit chemical traits than on morphological traits. ,,Secondary metabolite (emodin) concentration was positively correlated with concentrations of NSC, supporting the nutrient/toxin titration model, which predicts that high levels of secondary metabolites in fruits should be off set by high nutritional rewards for dispersers. ,,Emodin concentration in leaves was much higher than in fruit pulp, which may indicate its differential adaptive roles in seed dispersal and against herbivores. [source] SNPs in the porcine GOT1 gene improve a QTL for serum aspartate aminotransferase activity on SSC14ANIMAL GENETICS, Issue 3 2010G. Reiner Summary Clinical,chemical traits are essential parameters to quantify the health status of individuals and herds, but the knowledge about their genetic architecture is sparse, especially in swine. We have recently described three QTL for serum aspartate aminotransferase activity (sAST), and one of these maps to a region on SSC14 where the aspartate aminotransferase coding gene GOT1 is located. This QTL was only apparent under the acute burden of a model disease. The aim of the present study was to characterize GOT1 as a candidate gene and to test the effects of different GOT1 SNPs as potential quantitative trait nucleotides (QTNs) for sAST. Nine SNPs within GOT1 were identified, and SNP c.-793C>G significantly increased the QTL effects and narrowed the confidence interval from 90 to 15 cM. Additionally, we found a significant association of SNP c.-793C>G in a commercial outbred line, but with reversed phase. We conclude that GOT1 is a putative candidate gene for the sAST QTL on SSC14, and that SNP c.-793C>G is close to the responsible QTN. [source] Mapping of quantitative trait loci for clinical,chemical traits in swineANIMAL GENETICS, Issue 1 2009G. Reiner Summary Clinical,chemical traits are diagnostic parameters essential for characterization of health and disease in veterinary practice. The traits show significant variability and are under genetic control, but little is known about the fundamental genetic architecture of this variability, especially in swine. We have identified QTL for alkaline phosphatase (ALP), lactate (LAC), bilirubin (BIL), creatinine (CRE) and ionized sodium (Na+), potassium (K+) and calcium (Ca++) from the serum of 139 F2 pigs from a Meishan/Pietrain family before and after challenge with Sarcocystis miescheriana, a protozoan parasite of muscle. After infection, the pigs passed through three stages representing acute disease, subclinical disease and chronic disease. Forty-two QTL influencing clinical,chemical traits during these different stages were identified on 15 chromosomes. Eleven of the QTL were significant on a genome-wide level; 31 QTL were chromosome-wide significant. QTL showed specific health/disease patterns with respect to the baseline values of the traits as well as the values obtained through the different stages of disease. QTL influencing different traits at different times were found primarily on chromosomes 1, 3, 7 and 14. The most prominent QTL for the investigated clinical,chemical traits mapped to SSC3 and 7. Baseline traits of ALP, LAC, BIL, Ca++ and K+ were influenced by QTL regions on SSC3, 6, 7, 8 and 13. Single QTL explained up to 21.7% of F2 phenotypic variance. Our analysis confirms that variation of clinical,chemical traits is associated with multiple chromosomal regions. [source] | |||||||||||||