Stability and adaptability for wood volume in the selection of Eucalyptus saligna in three environments

Abstract

The objective of this work was to evaluate the genotype x environment (GxE) interaction in open-pollinated Eucalyptus saligna progenies for simultaneous selection for greater stability and adaptability for wood volume, as well as to compare the selection strategies through combined and individual analyses in three environments. Three experiments were conducted in a randomized complete block design, with four replicates and six plants per plot, with 102 to 122 progenies. Three years after planting, survival rate and wood volume were evaluated. The genetic parameters were estimated by the maximum restricted likelihood and best linear unbiased prediction (REML/Blup) methods, and the stability and adaptability analysis was conducted using the harmonic mean of the relative performance of genetic values (HMRPGV). The highest survival rate (82%) was observed in Sabinópolis and the highest volume (120 m³ ha-1) in Lençóis Paulista. The mean heritability of progenies for the two analyzed variables was considered high, and the genetic correlations between survival rate and volume were weak for all sites. The G×E interaction was significant and of the complex type, with genotype correlation between sites of 47%, indicating that the ranking of the best progenies differed in each studied environment. The analysis of stability and adaptability indicated the possibility of selecting progenies with good performance in the three environments; however, to improve the quality of the evaluated characteristics, it is necessary to select specific progenies for each environment.

Genotype x Environment interaction, stability, and adaptability in progenies of Eucalyptus urophylla S.T. BLAKE using the AMMI model

“…Thus, the results suggest that the environments can be divided into three specific groups: i) Uberaba, Itatinga, and Itamarandiba; ii) Anhembi; and iii) Selvíria ( Figure 2). The need environmental stratification was also constated in Eucalyptus saligna in Brazil (Oliveira et al, 2018), in Pinus radiata in Australia (Ivković et al, 2015) and in Salix spp in USA and Canada, which used AMMI analysis (Fabio et al, 2017).…”

Selection of Eucalypt Clones With Higher Stability in Pulp Yield

“…There are numerous methods to study better the interaction, including some more recently published (Farias Neto et al, 2018;Oliveira et al, 2018). Nevertheless, in this study we decided to use traditional and above all easy-to-interpret methods.…”

Adaptabilidade, estabilidade e produtividade de progênies de Eucalyptus grandis Hill ex Maiden

“…Estimativa de parâmetros genéticos de 165 famílias de polinização aberta de Eucalyptus grandis em diferentes locais, segundo o modelo 51 do software Selegen, para o incremento médio anual em volume (IMA-VOL, m³ árvore -1 ano -1 ), diâmetro a altura do peito (IMA-DAP, cm árvore -1 ano -1 ), altura comercial (IMA-ALT, m árvore -1 ano -1 ). A correlação genotípica do desempenho das progênies nos vários ambientes (r gxloc ) foi relativamente baixa (Tabela 3), denotando a existência de interação genótipos por ambientes, conforme observado em progênies de E. saligna em três locais na região sudeste do Brasil (OLIVEIRA et al, 2018). Além disso, a correlação genotípica considerando a relação dois a dois entre os locais (Tabela 4) variou de 0,05 (L3 e L8) a 0,96 (L2 e L3) para IMA-VOL, de 0,03 (L3 e L6; L4 e L5) a 0,96 (L2 e L3) para IMA-DAP e de 0,05 (L3 e L7) a 0,93 (L5 e L6) para IMA-ALT.…”

“…Se o interesse for transformar os testes de progênies em Pomar de Sementes por Mudas (PSM), a melhor estratégia é selecionar com base nos valores genéticos dos indivíduos em cada local. Neste caso deve ser utilizada a adaptabilidade e estabilidade específica para cada um dos locais estudados, similar ao observado com progênies de E. saligna na região sudeste do Brasil (OLIVEIRA et al, 2018). Contudo, se o interesse for obter uma fonte de sementes de E. grandis, com boa adaptação, estabilidade e produtividade num conjunto de ambientes, a melhor estratégia é selecionar com base na MHPRVG.…”