کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7620415 | 1494500 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Physicochemical and morphological analysis of ten tomato varieties identifies quality traits more readily manipulated through breeding and traditional selection methods
ترجمه فارسی عنوان
تجزیه و تحلیل فیزیکوشیمیایی و مورفولوژیکی ده رقم گوجه فرنگی صفات کافی را شناسایی می کند که با استفاده از روش های پرورش و روش های انتخاب سنتی
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کلمات کلیدی
Solanum lycopersicum L.Antioxidants - آنتی اکسیدانFood analysis - تجزیه و تحلیل مواد غذاییMultivariate analysis - تحلیل چندمتغیرهFood composition - ترکیب مواد غذاییCultivar differences - تفاوت رقمBiodiversity and nutrition - تنوع زیستی و تغذیهGenetic variation - تنوع ژنتیکیFruit shape - شکل میوهTomato - گوجه فرنگی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
Fresh and processed tomatoes (Solanum lycopersicum L.) are an important source of nutrients in contemporary diets due to their high consumption. Efforts to characterize tomato varieties have traditionally emphasized morphological traits. Consumer demand for enhanced nutritive value now requires that these traits also be included in crop improvement. A diverse set of ten historic USA tomato varieties were characterized using samples from replicated field trials across two environments. The majority (45) of the 52 fruit morphological and quality traits measured in this study showed significant genotypic differences. Based on proportion of variance explained by genotype, maximum height to maximum width ratio (fruit shape index external I, 0.95), red color (a*, 0.77) and Brix:total titratable acids (TA) ratio (Brix:TA, 0.61) were identified as traits that would be more readily manipulated through breeding and traditional selection methods. Brix and TA measurements were significantly correlated with their respective HPLC determinations, i.e. Brix and glucose (r2Â =Â 0.87, PÂ <Â 0.0001), Brix and fructose (r2Â =Â 0.93, PÂ <Â 0.0001), TA and citric acid (r2Â =Â 0.88, PÂ <Â 0.0001), TA and malic acid (r2Â =Â 0.49, PÂ <Â 0.03), suggesting that technically simpler methods are sufficient for characterizing large sample sets.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Food Composition and Analysis - Volume 42, September 2015, Pages 16-25
Journal: Journal of Food Composition and Analysis - Volume 42, September 2015, Pages 16-25
نویسندگان
Andrew P. III, Larry D. Robertson, Joanne A. Labate, Benjamin A. King, Darwin E. King,