Associations between vegetative and production traits in guava tree full-sib progenies

Abstract

-The objective of this work was to estimate the genetic parameters and to evaluate the associations between vegetative and yield characteristics, in full-sib progenies of guava tree (Psidium guajava). The following characteristics were evaluated: yield per plant, number of fruits, fruit mass, plant height, stem diameter, and canopy volume. The estimation of genetic parameters was obtained by the REML/Blup procedure. Based on the breeding values predicted by Blup, the genetic and canonical correlations were estimated, and the genetic correlation coefficients were unfolded into direct and indirect effects on the character yield per plant using path analysis. Genetic variability was estimated for number of fruits (567.66) and yield per plant (11.818), with high genetic correlation (0.9045), indicating simultaneous selection. Indirect selection did not promote simultaneous gains for yield per plant with the primary components number of fruits and fruit mass, making it difficult to obtain guava cultivars with high yield, number of fruits, and fruit mass. The vegetative traits had little effect on yield, number of fruits, and fruit mass.Index terms: Psidium guajava, correlations, path analysis, REML/Blup. Associações entre características vegetativas e de produção em progênies de irmãos completos de goiabeiraResumo -O objetivo deste trabalho foi estimar os parâmetros genéticos e avaliar as associações entre características vegetativas e de produção em progênies de irmãos completos de goiabeira (Psidium guajava). Avaliaram-se as seguintes características: produção por planta, número de frutos, massa de frutos, altura da planta, diâmetro de caule e volume de copa. A estimativa de parâmetros genéticos foi obtida com o procedimento REML/Blup. Com base nos valores genéticos preditos pelo Blup, estimaram-se as correlações genéticas e canônicas, e realizou-se o desdobramento dos coeficientes de correlação genética em efeitos diretos e indiretos sobre a característica produção por planta, com análise de trilha. Estimou-se variabilidade genética para número de frutos (567,66) e produção por planta (11,818), com alta correlação genética (0,9045), o que evidencia seleção simultânea. A seleção indireta não promoveu ganhos simultâneos para produção por planta a partir dos componentes primários número de frutos e massa de frutos, o que dificulta a obtenção de cultivares de goiabeira com alta produção, número de frutos e massa de fruto. As características vegetativas apresentaram pouca influência na produção, no número de frutos e na massa de frutos.Termos para indexação: Psidium guajava, correlações, análise de trilha, REML/Blup.

Canonical correlation for morphoagronomic and bromatological traits in silage corn genotypes

“…Canonical correlations have been used to elucidate relationships in Saccharum officinarum (Silva et al 2009), Carica papaya (Oliveira et al 2010), guava (Santos et al 2017), Spondias purpurea (Giles et al 2016), Ricinus communis (Brum et al 2011), Triticum sativum L. , Lolium Multiflorum (Müller et al 2012) and Zea mays L. . However there is no information on the associations between groups of traits their simultaneous selection in corn improvement for silage production purposes.…”

Novel approach to the selection of Psidium guajava genotypes using latent traits to bypass multicollinearity

“…Another answer provided regarding the limitation of ordinary path analysis is that, when no data treatment is undertaken (correction factor in the matrix X'X, data transformation, standardization, and so forth) and data has been given with collinear variables, the incidence of coefficients that exceed the expected limit is common (-1 < 1), such as was seen in the study results of Santos et al (2017), who researched the cause and effect relation between variables of plant growth and yield.…”

Associations among production and physicochemicalquality fruit traits in Passion fruit populations subjected to three cycles of intrapopulation recurrent selection

“…However, indirect selection will not be efficient in providing simultaneous gains for production per plant. To address this problem, it is suggested that simultaneous gains can be achieved through the use of selection-index strategies, as proposed by Cabral et al (2016) and Santos et al (2017).…”

“…The mixed-models method has been used to generate information in selective-breeding programs for perennial species such as sugarcane , açaí (Euterpe oleracea) (TEIXEIRA et al, 2012), juçara (Euterpe edulis) (MARÇAL et al, 2015), guava (SANTOS et al, 2017), and passion fruit (SANTOS et al, 2015;SILVA et al, 2016).…”