`Crimson Seedless': A New Late-maturing, Red Seedless Grape
نویسندگان
چکیده
منابع مشابه
A Seedless Grape in the Heart.
A 65-year-old woman was admitted with shortness of breath and chest pain. A computed tomographic angio-gram of the chest performed for suspected pulmonary embo-lism showed a filling defect in the left atrium, concerning for a tumor or thrombus (Figure, A). Transesophageal echo-cardiography revealed a large mobile mass in the left atrium attached to the interatrial septum with a very short pedic...
متن کاملStorage of New Seedless Grape Cultivar with Sulfur Dioxide Generators
Two new University of Arkansas table grape cultivars, Reliance (25% Vitis vinifera L. x 75% Vitis labrusca L.) and Saturn (78% Vitis vinifera L. x 22% Vitis labrusca L.), were stored for seven and 10 weeks at 2°C in corrugated cardboard shipping containers with five packing treatments (slow, dual, and quick-release SO2 generators and lined and unlined controls). The SO2 treatments consisted of ...
متن کاملBreeding new seedless grape by means of in vitro embryo rescue.
This project aimed at breeding new seedless grape cultivars by embryo rescue through three hybridization methods: 1) using cross-breeding between seedless Vitis vinifera cultivars and wild Chinese Vitis spp; 2) crossing with two seedless cultivars, and 3) hybridization between grapes of different ploidy. Genotype, sampling times, and media were confirmed to play important roles in this system. ...
متن کاملPhysico-chemical compositions of the red seedless watermelons (Citrullus Lanatus)
Changes of physico-chemical properties such as size, weight, moisture content, total soluble solid (TSS), colour, pH, total acidity and sugar content of red seedless watermelon during storage at room temperature (± 28oC; 70-80% RH) were investigated. The average weight, diameter and length of red seedless watermelon were 5.94 kg, 22.0 cm and 21.8 cm respectively. The length to diameter ratio wa...
متن کاملA Robust Seedless Algorithm for Correlation Clustering
Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlation clustering approaches are sensitive to the initial set of seeds chosen and do not yield the optimal result in the presence of noise. To avoid these problems, we propose RObust SEedless Correlation Clustering (ROSECC) algorit...
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ژورنال
عنوان ژورنال: HortScience
سال: 1995
ISSN: 0018-5345,2327-9834
DOI: 10.21273/hortsci.30.7.1473