GENETIC SELECTION OF Pinus taeda L. THROUGH MULTI-ENVIRONMENT TRIAL

Abstract

The aim of this study is to select progenies of Pinus taeda through multi-environmental trial to establish clonal seed orchards and advance breeding–program generations. Progeny test was carried out with 53 open-pollinated families planted in four different locations. The study followed a randomized block statistical design, with seven replications in linear plots planted with six plants each. DBH variable was measured in individuals at the age of nine years. All estimates were carried out in Selegen REML/BLUP® software. Genotype x environment interaction was detected; therefore, it required the definition of two breeding zones to minimize its effects. The genetic basis of the assessed population is restricted. Families were distributed into nine different groups, based on genetic divergence analysis, and grouping through the Tocher method, by using Mahalanobis distances. Based on the results, and by taking into consideration the balance between variability maintenance and genetic gains, it is recommended to establish a clonal seed orchard with 50 selected individuals in the experiment, based on a limited number of individuals per family. Intraspecific crossing between divergent families can also be used to increase heterosis and genetic variability in the assessed population.

The growth rate and genetic variability of Scots pine (Pinus sylvestris L.) half-sibs in test crops of Northern Kazakhstan

“…In order to evaluate the hereditary properties of plus trees test cultures are created by producing seedlings through germinating seeds and by the process of vegetative propagation -a form of asexual reproduction. In the created test cultures, phenotypic and genotypic traits are being observed and based on the findings, valuable genotypes are selected (Egorov, 2002;Rosvall et al, 2003;Kowalczyk, 2005;Bessega et al, 2015;Calleja-Rodriguez et al, 2019;Ishibashi et al, 2021;Raevsky et al, 2022). One of the main hurdles of research is to determine the optimal age of test crops, upon reaching which it becomes possible to accurately assess the properties of fertile offspring and to predict its further growth.…”