Seleção genética em mudas de Schinus terebinthifolia Raddi submetidas a condições ambientais

Abstract

The red pepper tree (Schinus terebinthifolia Raddi) belongs to the Anacardiaceae family, has great economic relevance and its fruits are known as pink pepper. Intense exploration implies individuals that do not present fruiting or establishment problems, avoiding offspring that are not very vigorous and have low adaptability. This study aims to select Schinus terebinthifolia genotypes with good ability to develop seedlings under environmental conditions. The material was collected in 10 matrices located in Tejucupapo - Goiana/PE. The fruits were sent to the Department of Forestry Science (DCFL) at UFRPE, being processed and subjected to vigor testing. At the Forest Nursery of the same institution, the progeny test was carried out, with 10 seeds being sown per plastic bag, a substrate consisting of vermiculite, commercial substrate and subsoil soil (1:1:6). The environments were full sun and 50% shading (sombrite), with a 10x20x2 factorial scheme. Initially, %E was evaluated; IVE and the TME. And at 180 days: H; A.D; CR; %S; VIGOR; NF; IE; MSR and MSPA. The design was in randomized blocks, with one plant per plot, with 20 blocks, in each environment. The analyzes were performed using the SELEGEN-REML/BLUP software. The deviance test and the Mulamba and Mock selection index were carried out. The electrical conductivity test showed matrices M9, M2, M7 and M10 with the most viable seeds. The variation components of the progeny test in different environments did not present significant values, showing that the environment does not influence the germination and establishment of seedlings. Deviance showed that the characteristics IVE, %E and SOB were significant. These characteristics were used to create the average rank. There was a significant difference in the physiological quality of seeds. As there was no difference in the progeny test in the environments and due to the genetic parameters of the progenies, the average rank was used, classifying M9 and M2 with the best genetic materials.