The Persian (English) walnut (Juglans regia L.) assortment of Hungary: Nut characteristics and origin

Bujdosó, G.; Cseke, Klára

doi:10.1016/j.scienta.2021.110035

Cited by 23 publications

(14 citation statements)

References 34 publications

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“…The analysis clearly grouped wild grown rose hip into bigger fruited ones, sweeter ones or those with a higher content of polyphenolic compounds (Figure 1). Previous studies also indicated large diversity among ecotypes in wild and cultivated plants by using PCA analysis [76][77][78][79][80][81][82].…”

Section: Principal Compenent Analysis (Pca)mentioning

confidence: 99%

Morphological and Biochemical Diversity in Fruits of Unsprayed Rosa canina and Rosa dumalis Ecotypes Found in Different Agroecological Conditions

et al. 2021

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The Rosa is one of the most diverse genera in the plant kingdom and, in particular, its fruits have been used for multiple purposes in different parts of the world for centuries. Within the genus, Rosa canina and Rosa dumalis are, economically, the most important species and dominate Rosa fruit production. In this study, some important fruit and shrub traits of ten Rosa canina and ten Rosa dumalis ecotypes collected from rural areas of Kars province, located in the east Anatolia region of Turkey were investigated. We found significant differences among ecotypes in most of the morphological and biochemical traits. The ecotypes were found between 1446–2210 m altitude. Fruit weight and fruit flesh ratio ranged from 2.95 g to 4.72 g and 62.55% to 74.42%, respectively. SSC (Soluble Solid Content), Vitamin C, total phenolic, total flavonoid, total carotenoid, and total anthocyanin content of the ecotypes ranged from 16.9–22.7%, 430–690 mg per 100 g FW (fresh weight), 390–532 mg gallic acid equivalent per 100 g FW, 0.88–2.04 mg per g FW, 6.83–15.17 mg per g FW and 3.62–7.81 mg cyanidin-3-glucoside equivalent per kg, respectively. Antioxidant activity was determined to be between 19.7–34.7 mg ascorbic acid equivalent per g fresh weight. Rosa ecotypes contained chlorogenic acid and rutin the most as phenolic compound. Our results indicated great diversity within both R. canina and R. dumalis fruits.

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Section: Principal Compenent Analysis (Pca)mentioning

confidence: 99%

Morphological and Biochemical Diversity in Fruits of Unsprayed Rosa canina and Rosa dumalis Ecotypes Found in Different Agroecological Conditions

et al. 2021

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“…Fruit shape is a widely searched parameter in horticulture, and this information is important in selecting appropriate parents and in developing the most appropriate strategy for breeding horticulture crops, both for table and industrial use. Horticulture plants are, in general, grown in an open field and their morphology is affected by environmental conditions, e.g., weather, soil, cultivation, and management [ 55 , 56 , 57 ]; however, the phenotypic variations for many horticulture crops are mainly affected by genetic background (parents) [ 58 , 59 , 60 , 61 ].…”

Section: Resultsmentioning

confidence: 99%

Multivariate Analysis Approaches for Dimension and Shape Discrimination of Vitis vinifera Varieties

Küpe

Sayinci

Demır

et al. 2021

Plants

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In this study, berry dimensions and shape traits, which are important for the design of the grape processing system and the classification of 10 different grape varieties grown in same ecological conditions (‘Ata Sarısı’, ‘Barış’, ‘Dımışkı’, ‘Hatun Parmağı’, ‘Helvani’, ‘Horoz Karası’, ‘Hönüsü’, ‘İtalia’, ‘Mevlana Sarısı’, and ‘Red Globe’) were determined; differences between the varieties were identified with the use of discriminant analysis. The largest grape varieties were identified as ‘Ata Sarısı’ and ‘Red Globe’. The ‘Red Globe’ and ‘Helvani’ varieties had geometrically sphere-like shape. The ‘Barış’ variety had the lowest size averages. According to elliptic Fourier analysis, the primary source of shape variation was ellipse and sphere-looking varieties. However, shape variation was seen due to the existence of a small number of drop-like varieties. According to discriminant analysis, shape differences of the varieties were defined by two discriminant functions. Based on these discriminant functions, the greatest classification performance was achieved for ‘Mevlana Sarısı’ and ‘Dımışkı’. In scatter plots, three shape definitions (sphere, ellipse, and drop) were made for grape varieties. Cluster analysis revealed 4 sub-groups. The first sub-group included the ‘Mevlana Sarısı’ variety; the second sub-group included the ‘Hönüsü’, ‘Hatun Parmağı’, ‘Dımışkı’, and ‘Horoz Karası’ varieties; the third sub-group included the ‘Ata Sarısı’ variety; the fourth sub-group included the ‘Barış’, ‘Helvani’, ‘İtalia’, and ‘Red Globe’ varieties. The variety in the first group had a geometrically ellipse-like shape, the largest length, and the smallest width. The size data were the smallest for the second sub-group. The third sub-group, with the ellipse-like shape, had the large size data. The grape varieties the closest to the sphere were classified in the fourth group, and these varieties had the large sizes.

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“…Thusly, in previous studies, differences in cultivars were put forth with principal component analysis in walnuts [42,[59][60][61], kiwifruit [62], strawberry tree [63], hazelnuts [33], almonds [35], raspberry [64], citrus [65] and apricot [66]. All above studies indicated that PCA allows the extraction of the maximum information from used cultivars and underlining the interrelations between variables and individuals, either by similarity or opposition.…”

Section: Eigen Statistics For Two Principal Componentsmentioning

confidence: 99%

Morphological Characteristics of Grapevine Cultivars and Closed Contour Analysis with Elliptic Fourier Descriptors

Küpe

Sayinci

Demır

et al. 2021

Plants

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Morphology is the most visible and distinct character of plant organs and is accepted as one of the most important tools for plant biologists, plant breeders and growers. A number of methods based on plant morphology are applied to discriminate in particular close cultivars. In this study, image processing analysis was used on 20 grape cultivars (“Amasya beyazı“, “Antep karası“, “Bahçeli karası”, “Çavuş“, “Cevşen“, “Crimson“, “Dimrit“, “Erenköy beyazı“, “Hafızali“, “Karaşabi“, “Kırmızı“, “İzabella (Isabella) “, “Morşabi“, “Müşgüle“, “Nuniya“, “Royal“, “Sultani çekirdeksiz (Sultanina)“, “Yalova incisi“, “Yerli beyazv“, “Yuvarlak çekirdeksiz“) to classify them. According to image processing analysis, the longest and the greatest projected area values were observed in “Antep karası“ cultivar. The “Sultani çekirdeksiz“ cultivar had the least geometric mean diameter. The greatest sphericity ratios were observed in “Yerli beyaz“, “Erenköy beyazı“ and “Amasya beyazı“ cultivars. According to principal component analysis, dimensional attributes were identified as the most significant source of variation discriminant grape cultivars from each other. Morphological differences between the cultivars were explained by sphericity and elongation variables. According to elliptic Fourier analysis (EFA) results, grape morphology largely looks like ellipse and sphere. However, there are some cultivars that look similar to a water drop. The cultivars with similar morphology were identified by a pair-wise comparison test conducted with the use of linear discriminant analysis, and they were presented in a scatter plot. According to cluster analysis, present grape cultivars were classified into seven sub-groups, which indicated great diversity.

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The Persian (English) walnut (Juglans regia L.) assortment of Hungary: Nut characteristics and origin

Cited by 23 publications

References 34 publications

Morphological and Biochemical Diversity in Fruits of Unsprayed Rosa canina and Rosa dumalis Ecotypes Found in Different Agroecological Conditions

Morphological and Biochemical Diversity in Fruits of Unsprayed Rosa canina and Rosa dumalis Ecotypes Found in Different Agroecological Conditions

Multivariate Analysis Approaches for Dimension and Shape Discrimination of Vitis vinifera Varieties

Morphological Characteristics of Grapevine Cultivars and Closed Contour Analysis with Elliptic Fourier Descriptors

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