5 to 4 0 cm, and the endocarp (pulp) contains seeds with fleshy a

5 to 4.0 cm, and the endocarp (pulp) contains seeds with fleshy aril (Vasconcellos, Savazaki, Grassi, Busquet, & Mosca,

2001). The tomato is a fleshy berry, with at least two locular cavities. The locular cavities contain the seeds, within a more or less abundant Vorinostat in vivo gel. They are enclosed by a parenchyma that forms a sub-epidermal layer of 0.2–1 cm, radial septa that separate the locules, and a collumella. The pericarp is protected to the outside by an epidermis covered with a waxy cuticle, presenting many hairs, stomata and lenticels (Hobson & Davies, 1971). The composition of these different tissues is not homogeneous. Cheng, Wang, Chen, and Lin (2011), in particular, showed that sugar concentrations in the placenta and close to the calix were consistently low relative to the outer pericarp, collumella, and locular cavity. Apricot is a stone fruit that

consists of three parts: a thin skin, a fleshy mesocarp which encloses the seeds. The thickness and shape of the mesocarp vary according to different cultivars (Romani & Jennings, 1971). The three fruits used in this trial present different structures which seems to affect the depth of near infrared radiation penetration. PLX4032 In passion fruit, NIR radiation only should penetrate in tissue that is clearly distinct from the edible part. In tomato, NIR radiation may interact with edible tissues, but they present variable compositions. Positioning of the beam relative to septa or locules means it will encounter different compositions. Apricot on the other

hand presents a relatively homogeneous tissue. For apricot, excellent results were found, showing that NIR technology can be effectively used for the quantification of the soluble solid content and titratable acidity for not apricot. The best PLS model for apricot used three varieties, involving higher variability of fruit quality traits. This can be the cause of the high value of the prediction error for TA (14%). Our model presented a lower predictive performance when compared to the model developed by Camps and Christen (2009), for three varieties of apricot (‘Bergerouge’, ‘Harostar’ and ‘Kioto’), tough the varieties used in that trial were not the same used in our trial and those author also used a Visible-NIR spectrometer (650–1200 nm), instead of a NIR spectrometer. The model developed by Camps & Christen presented a R2 of 0.9 and a RMSEP 9.6%. Bureau et al. (2009) developed prediction models that presented a correlation coefficient of 0.88 and a prediction error of 15% for eight apricot cultivars or hybrids. Measuring SSC and TA have been reported also using reflectance ant has shown excellent correlation for various fruits such as prune, plums and peaches ( Louw and Theron, 2010, Pérez-Marín et al., 2009 and Slaughter et al., 2003). All of these fruit share with apricot similar anatomical features such as thin skin and homogeneous pericarp. The lowest correlation for both parameters SSC and TA was found for passion fruit.

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