ABSTRACT
With long-term changes in temperature and weather patterns, ecologically adaptable fruit varieties are becoming increasingly important in agriculture. For selection of candidate cultivars in fruit breeding or for yield predictions, fruit set characteristics at different growth stages need to be described and evaluated, which is largely done visually. This is a time-consuming and labor-intensive process that also requires sufficient expert knowledge. The annotated dataset for Japanese quince - QuinceSet - consists of images of Japanese quince (Chaenomeles japonica) fruits taken at two phenological developmental stages and annotated for detection and phenotyping. First, after flowering, when the second fruit fall is over and the fruits have reached 30-50% of their final size, and second, at the ripening stage of quince, just before the fruits are yielded. Both stages of quince images classified as unripe and ripe were annotated using ground truth ROI and presented in YOLO format. The dataset contains 1515 high-resolution RGB .jpg images with the same number of annotated .txt files. Images in the dataset were manually annotated using LabelImg software. A total of 17,171 annotations were provided by the experts. The images were acquired on site at the Institute of Horticulture in Dobele, Latvia. Homogenization of the images was performed under different weather conditions, at different times of the day, and from different capturing angles. The dataset contains both fully visible quinces and quinces partially obscured by leaves. Care was also taken to ensure that the foreground, which contains the leaves has adequate brightness with minimal shadows, while the background is darker. The presented dataset will allow to increase the efficiency of the breeding process and yield estimation, to identify and phenotype quinces more reliably, and may also be useful for breeding other crops.
ABSTRACT
The seeds and oil yield and profile/levels of fatty acids, tocopherols and phytosterols in seed oils of twelve Japanese quince (Chaenomeles japonica) genotypes were studied. The seeds and oil yield ranged from 3.8 to 5.7% w/w fresh fruit, and 10.9 to 14.6% w/w dry weight seeds, respectively. The range of three predominated fatty acids C16:0, C18:1 and C18:2 in the seed oil of twelve Japanese quince genotypes were 8.1-9.8, 37.5-48.1, and 40.1-50.3%, respectively. α-Tocopherol and ß-sitosterol were the main minor lipophilic compounds detected in all investigated genotypes. The percentage of predomination of α-tocopherol and ß-sitosterol in each investigated genotype was very similar and amounted to 97-99% of total tocopherols and 76-80% of total phytosterols, respectively. The range of total content tocopherols and phytosterols in 12 genotypes of Japanese quince were 91.9-129.3 and 7830-14166 mg/100 g oil, respectively.
Subject(s)
Phytosterols , Rosaceae , Fatty Acids , Fruit , Genotype , Plant Oils , TocopherolsABSTRACT
Composition of tocochromanols in kernels recovered from 16 different apricot varieties (Prunus armeniaca L.) was studied. Three tocopherol (T) homologues, namely α, γ and δ, were quantified in all tested samples by an RP-HPLC/FLD method. The γ-T was the main tocopherol homologue identified in apricot kernels and constituted approximately 93% of total detected tocopherols. The RP-UPLC-ESI/MS(n) method detected trace amounts of two tocotrienol homologues α and γ in the apricot kernels. The concentration of individual tocopherol homologues in kernels of different apricots varieties, expressed in mg/100 g dwb, was in the following range: 1.38-4.41 (α-T), 42.48-73.27 (γ-T) and 0.77-2.09 (δ-T). Moreover, the ratio between individual tocopherol homologues α:γ:δ was nearly constant in all varieties and amounted to approximately 2:39:1.
