Black mulberry (Rubus spp.) produces aggregate fruit that are black with an acidic to sweet–acid9c flavor. It is considered a fast return crop, considering that it starts production during the second year of cultivation. Another interesting feature is the possibility of commercialization, because it is a fruit that contributes to a wide variety of products, such as yogurts, jellies, sweets and juices, in addition to being sold in natura and in the form of pulp. (Antunes et al., 2014).
The main objective in marketing blackberries is to develop fruit of greater mass with a large volume, which is consequently more attractive. In this regard, special attention has been given to yielding heavier fruit as the most important agronomic characteristic. Fruit yield is a complex quantity and a characteristic affected by several physical factors. Knowledge of the interrelationships between crop yields contributes to components that improve the efficiency of breeding programs through the use of appropriate selection (Belay, 2018).
Path coefficient analysis, or path analysis, has been widely used to understand production better and to determine the nature of the relationships between fruit and their constituent components, and to identify those with effects on mass to be used as selection criteria. Therefore, path analysis is a technique that can be used to understand how the physical variables of fruit affect mass. We report the results of a study that aimed to contribute to the selection of and to evaluate correlations between mass and other physical characteristics of blackberry fruit, indicating the direct and indirect effects of morphology and physical characteristics on blackberry fruit mass.
Antunes, L.E.C., Pereira, I.D.S., Picolotto, L., Vignolo, G.K. & Gonçalves, M.A. 2014 Produção de amoreira-preta no Brasil Rev. Bras. Frutic. 36 1 100 111 doi: https://doi.org/10.1590/0100-2945-450/13
Araujo, W.D., Goneli, A.L.D., Orlando, R.C., Martins, E.A.S. & Hartmann Filho, C.P. 2015 Propriedades físicas dos frutos de amendoim durante a secagem Caatinga Mossoró 28 4 170 180 doi: https://doi.org/10.1590/1983-21252015v28n419rc
Belay, N. 2018 Genetic variability, heritability, correlation and path coefficient analysis for grain yield and yield component in maize (Zea mays L.) hybrids Adv. Crop Sci. Technol. 6 399 doi: https://doi.org/10.13057/biodiv/d190445
Cruz, C.D. 2013 Genes: A software package for analysis in experimental statistics and quantitative genetics Acta Sci. Agron. 35 271 276 doi: https://doi.org/10.4025/actasciagron.v35i3.21251
Curi, P.N., Pio, R., Moura, P.H.A., Tadeu, M.H., Nogueira, P.V. & Pasqual, M. 2015 Produção de amora-preta e amora-vermelha em Lavras-MG Cienc. Rural 45 8 1368 1374 doi: https://doi.org/10.1590/0103-8478cr20131572
Nonthakod, S., Wiwacharn, P., Sangsiri, C. & Kajonphol, T. 2019 Correlation and path coefficient for economic traits of fruit mulberry (Morus spp.) based on criteria mulberry selection Appl. Mech. Mater. 891 66 70 doi: https://doi.org/10.4028/www.scientific.net/AMM.891.66
Santos, A.M., Bassols, M.C. & Madait, J.C.M. 1997 A cultura da amora-preta I: Empresa Brasileira de Pesquisa Agropecuária, Centro ele Pesquisa Agropecuátio de Clima Temperado 2nd rev. ed. Embrapa·SPI Pelotas, Brazil