This work evaluated the potential production and quality of daughter plants of 20 strawberry genotypes produced in containers in a protected environment. The experimental design used was randomized complete blocks with three repetitions. It was evaluated: number of daughter plants produced per mother plant, number of leaves, leaf area, root length, crown diameter, fresh, and dry mass of the aerial part and the root system. Data were subjected to analysis of variance, and means were compared by Tukey test at a 5% probability. Cultivars responded differently in the production of daughter plants, number of leaves, fresh and dry mass of the aerial part and the root system. The results showed that the Dover x Esplendida genotype presented the largest number of daughter plants, while Sabrina had the highest fresh and dry mass of the aerial part and fresh mass of the root system. Sweet Charlie FP and Sabrina stood out for the high dry matter content of the root system. There were no differences in the variables leaf area, root length, and crown diameter. The daughter plants produced by the evaluated genotypes presented the minimum requirements in terms of the number of leaves and crown diameter.
Classical methodologies for Salmonella detection may be too long in time to assure public safety. Presently, one of the fastest assays for Salmonella detection using the mini-VIDAS(®) system is the Easy Salmonella protocol. This assay, developed for food matrixes analysis, was here assessed for the applicability on the detection of these bacteria in transitional and saltwaters. The presence of Salmonella was detected in 4.2 % of the samples studied. In these transitional waters, the proposed protocol presented an efficiency of 79.1 %, due to a high false positive rate (20.8 %), and a false negative rate of 0 %-implying reducing analysis time, the use of enrichment broths, and making it more cost effective. Despite the multitude of samples nature, the method here described revealed to be an efficient and promising tool for transitional waters analysis.
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