Contribution to the Selection of Blackberry Through Fruit Physical Variables

Abstract

To contribute to commercial classification, this work sought to evaluate correlations between fruit mass and other physical characteristics of blackberry fruit, indicating direct and indirect effects of morphology and physical characteristics on blackberry fruit mass. The variables evaluated were the total mass of the blackberry fruit along with its physical components: fruit length, greater transverse diameter, smaller transverse diameter, fruit area, fruit perimeter, and fruit volume. Results of our analyses show that an increase in fruit length, fruit perimeter, and fruit volume reflects an increase in the total mass of the blackberry fruit. Indirectly, greater values of fruit length, greater transverse diameter, and smaller transverse diameter reflect an increase in the perimeter and volume of the blackberry fruit, thus contributing to larger, more attractive fruit.

Selection of Cape Gooseberry Based on Physical Variables of Their Fruit

“…2 using a scheme in which it is possible to verify the variables that obtained the greatest positive direct effects on FM, which were TM and FD, with correlation coefficient values of 0.8429, and 0.1840 respectively. Considering that a variable is viable for the direct selection of larger and more attractive fruit, it must have a direct effect and a high correlation in the same direction as the main variable (Oliveira et al, 2021).…”

“…In our study, a coefficient of determination of 0.9507 was found. This value is considered high, as described by Oliveira et al (2021). It is noteworthy that new studies can be implemented to improve production and management, and to add economic value to the cape gooseberry.…”

“…This coefficient helps to identify the impacts on fruit mass and can be used as selection criteria. Therefore, path analysis is a multivariate method that can be used to understand and estimate how the correlations of physical variables of fruit affect their mass (Abadi et al, 2021;Oliveira et al, 2021).…”

Commercial Classification of Peanuts Based on Pod Physical Characteristics

“…These traits were obtained using a 0.01-mm digital caliper and expressed as millimeters (mm). Figure 1 illustrates the measurements that were taken (Oliveira et al, 2021). The number of peanut grains per pod (NG; dimensionless) was obtained by counting.…”

“…The, pod volume (PV) was calculated as in [eq. ( 1)] and expressed as mm 3 (Araujo et al, 2015;Oliveira et al, 2021).…”