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Botanical and Pomological Aspects of Stone Fruits Physiology, Agronomy and Orchard Management
Prunus is a genus of about 230 species, distributed primarily in north
temperate regions. Prunus has been historically divided into a number of genera by
various botanists. Three subgenera correspond to broad categories of stone fruits. Main
domesticated species are peach, apricot, cherry and plum. Different characters have
been used to uniquely identify genotypes and cultivars. In the present chapter the main
pomological and phenological characteristics are presented. Features and ripening dates
are described for 72 peach cultivars: 19 with white flesh, 28 with yellow flesh, 13
canning peaches and 12 with flat shape. Forty-one different nectarines, 46 apricots, 48
cherries and 18 Japanese and 5 European plums cultivars are also described. A second
part of the chapter is also devoted to the description of the physiological phenomena
related to production and to the main agricultural techniques and best practices for
orchard management
Destructive and non-destructive assessment of qualitative and nutraceutical traits of a new early ripening Prunus armeniaca L. cultivar: a relationship to establish the optimal harvest time
In 2010, the Mediterranean diet was nominated a world’s intangible cultural heritage by the UNESCO. This nutritional model emphasizes primarily plant-based foods like fruits. Apricot (Prunus armeniaca L.) is one of the most important summer crop, and is highly appreciated by consumers for its flavour and sweetness, which are strongly related to the variety and ripening stage. Ripening involves a series of complex biochemical reactions, which lead to the production of healthy compounds, such as polyphenols and carotenoids. As a consequence, to establish the optimal harvest time is a crucial issue, not only to assure the high quality of fruits but also to reduce the variability, which is present in fruit batches. The aim of this work was to study the evolution of quality traits and biochemical profiles of apricots belonging to the new early ripening cultivar Spring blush, and to find a correlation between them and the development of non-destructive indices (i.e. DA-Meter index –IDA- and CIELab coordinates) characterizing the ripening changes in apricot fruit. Fruit quality traits such as firmness, fresh weight, total soluble solids and titratable acidity followed the expected trends during ripening. Biochemical results showed an overall increase in the content of all the phytochemicals analysed during the ripening, although it was characterized by different trends. Polyphenols and flavans were concentrated mainly at 50% veraison, while carotenoids at the ripe stage. Fruit IDA and CIELab coordinates (in particular L* and hab) indicated that these parameters could give interesting information on internal quality factors in apricots at the time of picking as they correlated well with quality traits (i.e. firmness, total soluble solids, etc.) and total carotenoids content. The established relationships between fruit quality traits, nutraceutical potential and non-destructive indices showed the possibility to develop non-destructive methods for simultaneous analysis of pigmentation and other internal properties of single apricots
Selezione per la resistenza o tolleranza a Pseudomonas syringae pv. actinidiae (PSA) di genotipi mutagenizzati tramite EMS
Nuove tipologie di frutto nel programma di miglioramento genetico del pesco presso il CRA-FRU
Programma di miglioramento genetico del pesco per l’individuazione delle migliori selezioni con caratteri innovativi. Analisi dei dati pomologici e fenologici mediante ‘Ranking Method’.
Germoplasma di pesco ornamentale presso il Centro di Ricerca per la frutticoltura CRA-FRU di Roma
Valutazioni pomologiche ed analisi molecolari di 11 cloni di Ravenna recuperati in Sabina
Selezione per la resistenza o tolleranza a Pseudomonas syringae pv. actinidiae (PSA) di genotipi mutagenizzati tramite EMS
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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