Interactions among genotype, environment and agronomic practices on production and quality of storage onion (Allium cepa L.) - A review

Abstract

Sekara A., Pokluda R., Del Vacchio L., Somma S., Caruso G. (2017) The aim of this review is a wide description of the relationships between growing conditions and bulb yield and quality of onion (Allium cepa L.), focused particularly on long-day cultivars suitable for storage. Marketable yield decreases according to the reduction of crop length caused by the increase of growth temperature. The nutritive requirements of storage onion are highest during the vegetative growth. The application of humic substances and the inoculation of mycorrhizae may enhance bulb growth and quality, mainly under stress conditions. Onion is a slow-growth, shallowrooted crop with non-shading habitus and therefore its productivity is highly dependent on water availability in the soil, proper fertilization and weed control. The shelf-life of onion bulbs is a genetic trait, improvable by efficient crop and post-harvest management, and adequate conditions of bulb storage. The quality of storage onion bulbs is ascribed to several indicators, such as thiosulfonates, pyruvic acid, soluble solids, sugars, and many other biological compounds. This review is also focused on onion quality as affected by the interactions among genotype, environment, farming practices and post-harvest management.

Improving the Commercial Value of the ‘Calçot’ (Allium cepa L.) Landrace: Influence of Genetic and Environmental Factors in Chemical Composition and Sensory Attributes

“…Taking into account that our study is a first approximation, since no previous studies related with the influence of environmental variables or management practices have been done in ‘calçot’ cultivation, the results obtained will be helpful as a working basis for future research. The influence of environmental factors such as temperature, photoperiod, fertilization and/or other farming practices have been proved in the quality of crops (Hornick, 1992) such as onions (Sekara et al, 2017), tomatoes ( Solanum lycopersicum L.) (Carli et al, 2011), globe artichoke ( Cynara scolymus L.) (Lombardo et al, 2018) or leguminous vegetables (Ntatsi et al, 2018). …”

“…However, temperatures seemed to play an important role on the chemical parameters studied. Moreover, soil properties that could be modified through fertilization had an impact on the ‘calçots’; soil pH and sodium content influenced the pH of ‘calçots’ and, together with other cations, soil phosphorus content could influence the dry matter and soluble solids content of ‘calçots.’ The effect of both temperatures and fertilization in onion has been studied several times since these factors affect not only the plant development, but also the quality of the bulbs (Petropoulos et al, 2017; Sekara et al, 2017). The insights from this study allow us to speculate on future directions for research, but further studies will be required to grasp the complex factors underlying quality in ‘calçots.’…”

Storage of garlic bulbs (Allium sativum L.): A review

“…(https://www.gourmetgarlicgardens.com). Naresh, Srivastava, and Agarwal () and Sekara, Pokluda, Del Vacchio, Somma, and Caruso () reviewed the influence of storage duration and conditions on bulb losses in onion and garlic. Many of the garlic and onion growers in Khurda and Ganjam districts of Odissa store by binding and hanging them in bunches in the house (Naresh et al, ).…”

The Influence of the Social Media Recommendation System Against Polarization in the Views of User Politics: Experiments on Social Media Newsfeed on Social Media Users

“…The choice of automatically filtered online information has the function of helping internet users to overcome the amount of information available on the internet [3] .This filter algorithm is often referred to as a recommendation algorithm, because they recommend personalized content based on information about each user. Thus, the recommendation algorithm usually uses information about users' interests, preferences, and search behavior as well as contextual information (for example, time, location) to get optimally adjusted results.…”