Early selection in progenies of<i>Myracrodruon urundeuva</i>Fr. All. by methodology reml/blup

Carderalli, Alessandro; Costa, Reginaldo Brito da; Azevedo, Luana Pâmella de Almeida; Ribeiro, Edilene Silva; Batista, Bruna Maria Faria; Sousa, Roberto Antônio Ticle de Melo e

doi:10.5935/ambiencia.2013.03.10

Cited by 3 publications

(2 citation statements)

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“…It is important to highlight that the data were collected in a clonal test five years after planting and that the estimated period for the rotation of teak stands in Brazil is around 25 to 30 years (Macedo et al 2005) or between seven and 18 years for the socalled young teak (Avelino 2012), with the application of silvicultural treatment, such as thinning and pruning, in both systems. Thus, the feasibility of early selection at this age should be assessed, as is the case for other forest species such as eucalyptus (Pinto et al 2014;Moraes et al 2014;Queiroz et al 2019), yerba mate (Wendling et al 2018, and Aroeira (Carderalli et al 2013).…”

Section: Discussionmentioning

confidence: 99%

Genetic parameters in a clonal test of Tectona grandis in Mato Grosso, Brazil

Pereira¹,

Caldeira

Arriel

2021

ADV. FOR. SCI.

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Teak (Tectona grandis) is a high-value timber species in tropical regions. In Brazil, although teak has a high productivity, there are few studies related to its genetic improvement. This work aimed to estimate genetic parameters and evaluate potential gains of selection in a clonal test of teak installed in the state of Mato Grosso, Brazil. The experimente is in a randomized block design, with five replications, 3x3 m spacing, 22 treatments, and plots with six individuals. At five years, the genotypes were evaluated for survival (S), tree total height (H) and girth at breast height (GBH). There was significance and feasibility of selection for S and GBH. For H, the result was not significant, indicating few gains with the selection. The genetic parameters of clonal mean heritabilities and accuracy were of moderate magnitude for S and GBH and low for H. To best of our knowledge, this is the first work that estimates genetic parameters in a clonal teak test in the field in Brazil.

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Section: Discussionmentioning

confidence: 99%

Genetic parameters in a clonal test of Tectona grandis in Mato Grosso, Brazil

Pereira¹,

Caldeira

Arriel

2021

ADV. FOR. SCI.

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“…The use of mixed models is already performed frequently in perennial plants such as Brazilian Chestnut (Camargo et al, 2010), Aroeira (Carderalli et al, 2013), Eucalyptus (Gouveia et al, 2015;de Mendonça et al, 2015), Coffee (Carias et al, 2014) and fruitful (Della Bruna et al, 2012). However in annual plants, especially in the case of maize crop, publications addressing this theory are more recent, especially in Brazil (Souza et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Performance of maize genotypes of Rio Grande do Sul using mixed models

Baretta¹,

Nardino²,

Carvalho³

et al. 2016

Científica

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The initial process for genetic gain in maize is obtained by identifying sources of variability in open pollinated populations. For the evaluation of these populations, statistical procedures as REML/BLUP analysis, has been increasingly employed by maize breeders. This study aimed to use the method of mixed models (REML / BLUP) for the estimation of genetic parameters and evaluation to a set of agronomic characters in hybrid genotypes, synthetic and landraces and verify its potential for breeding purposes and/or indicate their crop for small farmers in the Pelotas region. The characters evaluated were: tassel length (TL), tassel branch number (TBN), ear insertion height (EI), grain yield (GY), ear row number (ERN), kernels per row (KPR) and weight of a hundred grains (WHG). Were estimated by the mixed models of variance components by restricted maximum likelihood (REML) and the components of the prediction of the average, best linear predictor unbiased (BLUP). The best genotypes which presented final genotypic values superior to the general mean were the double hybrid COODETEC 308 for the characters TL, TBN, EI, GY and ERN; the single hybrid AS1551, triple hybrid AS3466 and synthetic BRS Planalto for TBN, EH, GY and ERN. Also, the populations Caiano Branco for TL, ERN and EI; Caiano Rajado for GY and ERN; Criolão for TBN and WHF; Dente de ouro for TL and ERN; Branco Roxo Indio for TL and WHG and Argentino Branco for TL and TBN. The genotypes BRS Planalto and Caiano Rajado show grain yield above the overall average and show promise for use by small and breeding programs.Additional keywords: genotypic values; grains yield; landraces; REML/BLUP; Zea mays L. ResumoO processo inicial para ganho genético em milho é obtido pela identificação de fontes de variabilidade em populações de polinização aberta. Para a avaliação destas populações, procedimentos estatísticos como análises REML/BLUP, têm sido cada vez mais empregados por melhoristas de milho. Este trabalho teve por objetivo a utilização do método de modelos mistos (REML/BLUP) para estimação dos parâmetros genéticos e avaliação para um conjunto de caracteres agronômicos em genótipos híbridos, sintéticos e crioulos de milho e verificar suas potencialidades para fins de melhoramento genético e/ou indicar seu cultivo para pequenos agricultores na região de Pelotas-RS. Os caracteres avaliados foram: comprimento do pendão (CP), número de ramificações do pendão (NRP), altura da inserção da espiga (AE), rendimento de grãos (RG), número de fileiras de grãos da espiga (NFE), número de grãos por fileiras (NGF) e massa de 100 grãos (MCG). Foram estimados via modelos mistos os componentes de variância pela máxima verossimilhança restrita (REML) e os componentes da predição de médias pelo, melhor preditor linear não viesado (BLUP). Os melhores genótipos superiores à média geral foram os híbridos CD 308 para os caracteres CP, NRP, AE, RG e NFE; AS 1551, AS 3466 e BRS Planalto para NRP, AE, RG e NFE e as populações crioulas Caiano Branco para CP, NFE e AE; Caiano Rajado...

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Evaluation of Carnauba Progenies and Estimates of Genetic Parameters in the Juvenile Phase

et al. 2018

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Carnauba (Copernicia prunifera) is a forest species with multiple uses, and is of great economic and social importance for several communities involved in extractive agriculture in northeastern Brazil. However, there are few studies on genetic variability in this species. Thus, this work aimed to produce information about the genetic characterization of C. prunifera seeds and seedlings, using provenance and progeny evaluations. A progeny test was performed in a plant nursery, using seeds of 36 matrices sampled in the municipalities of Mossoró and Apodi (Rio Grande do Norte State), and Russas and Icapuí (Ceará State). Three groups were derived according to the spatial distance between the collected matrices. Biometric analyses of the seeds were performed, adopting a completely randomized experimental design, with four replicates of 25 seeds in each analysis. A randomized block design (five replicates and five plants per plot) was used at the seedling production phase. The data evaluated included the emergence speed index, emergence percentage, leaf size, leaf base diameter, and survival (at 30, 60, and 90 days after sowing). The restricted maximum likelihood method was used in the statistical analysis, with the aid of SELEGEN software. In order to evaluate genetic variability in the C. prunifera population samples, it was verified that the juvenile characters presented a moderate genetic control. The three groups of spatially delimited matrices presented no significant genetic differences. This information may assist in the development of forestry practice for this species.

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Early selection in progenies ofMyracrodruon urundeuvaFr. All. by methodology reml/blup

Cited by 3 publications

References 5 publications

Genetic parameters in a clonal test of Tectona grandis in Mato Grosso, Brazil

Genetic parameters in a clonal test of Tectona grandis in Mato Grosso, Brazil

Performance of maize genotypes of Rio Grande do Sul using mixed models

Evaluation of Carnauba Progenies and Estimates of Genetic Parameters in the Juvenile Phase

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