Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regions

Abstract

ABSTRACT. The aim of this study was to estimate genetic parameters via mixed models and simultaneously to select Jatropha progenies grown in three regions of Brazil that meet high adaptability and stability. From a previous phenotypic selection, three progeny tests were installed in 2008 in the municipalities of Planaltina-DF (Midwest), Nova Porteirinha-MG (Southeast), and Pelotas-RS (South). We evaluated 18 families of half-sib in a randomized block design with three replications. Genetic parameters were estimated using restricted maximum likelihood/best linear unbiased prediction. Selection was based on the harmonic mean of the relative performance of genetic values method in three strategies considering: 1) performance in each environment (with interaction effect); 2) performance in each environment (with interaction effect); and 3) simultaneous selection for grain yield, stability and adaptability. Accuracy obtained (91%) reveals excellent experimental quality and consequently safety and credibility in the selection of superior progenies for grain yield. The gain with the selection of the best five progenies was more than 20%, regardless of the selection strategy. Thus, based on the three selection strategies used in this study, the progenies 4, 11, and 3 (selected in all environments and the mean environment and by adaptability and phenotypic stability methods) are the most suitable for growing in the three regions evaluated.

GENETIC PARAMETERS OF Eucalyptus spp. CLONES IN NORTHEASTERN BRAZIL

“…The term adaptability is used to designate the capacity of the genetic material to take advantage of environmental stimuli, and stability refers to the capacity of genotypes to be have predictably in the face of environmental stimuli (VENCOVSKY; BARRIGA, 1992;MORAIS et al, 2010). The environment can affect responses of genotypes in terms of adaptability and stability due to the genotype x environment interaction, which can cause a reduction in genetic gains when the selection is realized simultaneously in different environments (SANTOS et al, 2016;TEODORO et al, 2016). As such, understanding the environmental effect is critical in the selection of productive genetic material (OLIVEIRA et al, 2018).…”

Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha

“…In Brazil, this species is in domestication phase , being necessary more studies on genetic breeding to increase the productive potential of the crop, given that currently there is no commercial cultivar in Brazil (Teodoro et al, 2016a).…”

Selection of Jatropha full-sib families based on genotypic adaptability and stability via mixed models

“…Moreover, these families have high stability (R 2 > 0.80) of genotypic performance over environmental gradients. Researchers investigating the effect of genotypic adaptability and stability on Jatropha genotypes are rare (Spinelli et al, 2015;Teodoro et al, 2016), which indicates the importance of this study. The selection of genotypes, which increases their performance with the environmental improvement, is an important factor to increase the grain yield and oilseed yield in Jatropha since these traits have large environmental influence.…”