Genetic diversity and population structure of Euterpe edulis by REML/BLUP analysis of fruit morphology and microsatellite markers

Carvalho, Marina Santos; Ferreira, Márcia Flores da Silva; Oliveira, Wagner Bastos dos Santos; Marçal, Tiago de Souza; Guilhen, José Henrique Soler; Mengarda, Liana Hilda Golin; Ferreira, Adésio

doi:10.1590/1984-70332020v20n4a61

Cited by 7 publications

(7 citation statements)

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“…To better understand the importance of knowledge about the genetic control structure of productive traits in the juçaizeiro, some specific aspects related to species breeding must be presented. The species is currently propagated exclusively by seeds, and breeding programs primarily focus on understanding the additive genetic control for estimating and selecting the best genotypes based solely on these effects 33 , 45 , 46 , since the dominance effects will not be transmitted to the selected materials due to the propagation method used.…”

Section: Discussionmentioning

confidence: 99%

“…Genomic DNA was obtained from leaf samples of the 275 genotypes following the CTAB method 32 with modifications 33 . After verifying the quantity and quality using a NanodropTM 2000 spectrophotometer (Thermo Scientific), the genomic DNA was sent to Mexico for genotyping high throughput using the DArTseqTM methodology at the Genetic Analysis Service for Agriculture (SAGA).…”

Section: Methodsmentioning

confidence: 99%

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Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits

Canal

Oliveira

Almeida

et al. 2023

Sci Rep

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In forest genetic improvement programs for non-domesticated species, limited knowledge of kinship can compromise or make the estimation of variance components and genetic parameters of traits of interest unfeasible. We used mixed models and genomics (in the latter, considering additive and non-additive effects) to evaluate the genetic architecture of 12 traits in juçaizeiro for fruit production. A population of 275 genotypes without genetic relationship knowledge was phenotyped over three years and genotyped by whole genome SNP markers. We have verified superiority in the quality of the fits, the prediction accuracy for unbalanced data, and the possibility of unfolding the genetic effects into their additive and non-additive terms in the genomic models. Estimates of the variance components and genetic parameters obtained by the additive models may be overestimated since, when considering the dominance effect in the model, there are substantial reductions in them. The number of bunches, fresh fruit mass of bunch, rachis length, fresh mass of 25 fruits, and amount of pulp were strongly influenced by the dominance effect, showing that genomic models with such effect should be considered for these traits, which may result in selective improvements by being able to return more accurate genomic breeding values. The present study reveals the additive and non-additive genetic control of the evaluated traits and highlights the importance of genomic information-based approaches for populations without knowledge of kinship and experimental design. Our findings underscore the critical role of genomic data in elucidating the genetic control architecture of quantitative traits, thereby providing crucial insights for driving species' genetic improvement.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits

Canal

Oliveira

Almeida

et al. 2023

Sci Rep

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“…Genomic DNA was obtained from leaf samples of the genotypes under study. Extraction was performed using the cetyltrimethylammonium bromide or CTAB method by Doyle (1990) [31] with modifications [32].…”

Section: Plos Onementioning

confidence: 99%

Single and multi-trait genomic prediction for agronomic traits in Euterpe edulis

et al. 2023

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Popularly known as juçaizeiro, Euterpe edulis has been gaining prominence in the fruit growing sector and has demanded the development of superior genetic materials. Since it is a native species and still little studied, the application of more sophisticated techniques can result in higher gains with less time. Until now, there are no studies that apply genomic prediction for this crop, especially in multi-trait analysis. In this sense, this study aimed to apply new methods and breeding techniques for the juçaizeiro, to optimize this breeding program through the application of genomic prediction. This data consisted of 275 juçaizeiro genotypes from a population of Rio Novo do Sul-ES, Brazil. The genomic prediction was performed using the multi-trait (G-BLUP MT) and single-trait (G-BLUP ST) models and the selection of superior genotypes was based on a selection index. Similar results for predictive ability were observed for both models. However, the G-BLUP ST model provided greater selection gains when compared to the G-BLUP MT. For this reason, the genomic estimated breeding values (GEBVs) from the G-BLUP ST, were used to select the six superior genotypes (UFES.A.RN.390, UFES.A.RN.386, UFES.A.RN.080, UFES.A.RN.383, UFES.S.RN.098, and UFES.S.RN.093). This was intended to provide superior genetic materials for the development of seedlings and implantation of productive orchards, which will meet the demands of the productive, industrial and consumer market.

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“…Genomic DNA was obtained from leaf samples of the genotypes under study. Extraction was performed using the cetyltrimethylammonium bromide or CTAB method by Doyle (1990) with modifications (Carvalho et al, 2020).…”

Section: Genomic Dna Extractionmentioning

confidence: 99%

Single and Multi-trait Genomic Prediction for agronomic traits inEuterpe edulis

Canal

Barreto

Almeida

et al. 2022

Preprint

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Popularly known as juçaizeiro, Euterpe edulis has been gaining prominence in the fruit growing sector and has demanded the development of superior genetic materials. As it is a native species and still little studied, the application of more sophisticated techniques can result in higher gains with less time. Until now, there are no studies that apply genomic prediction for this crop, especially in multi-trait analysis. In this sense, this study aimed to apply new methods and breeding techniques for the juçaizeiro, to optimize this breeding program through the application of genomic selection. This data consisted of 275 juçaizeiro genotypes from the breeding population of Rio Novo do Sul-ES, Brazil. The genomic prediction was performed using the multi-trait (G-BLUP MT) and single-trait (G-BLUP ST) models and the selection of superior matrices was based on the selection index of Mulamba and Mock. Similar results for predictive ability were observed for both models. However, the G-BLUP ST model provided greater selection gains when compared to the G-BLUP MT. For this reason, the genomic estimated breeding values (GEBVs) from the G-BLUP ST were used to select the six superior genotypes (UFES.A.RN.390, UFES.A.RN.386, UFES.A.RN.080, UFES.A.RN.383, UFES.S.RN.098, and UFES.S.RN.093), to provide superior genetic materials for the development of seedlings and implantation of productive orchards, which will meet the demands of the productive, industrial and consumer market

show abstract

Genetic diversity and population structure of Euterpe edulis by REML/BLUP analysis of fruit morphology and microsatellite markers

Cited by 7 publications

References 37 publications

Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits

Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits

Single and multi-trait genomic prediction for agronomic traits in Euterpe edulis

Single and Multi-trait Genomic Prediction for agronomic traits inEuterpe edulis

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