Coeficiente de repetibilidade para produção de frutos e seleção de matrizes de &lt;i&gt;Bertholletia excelsa&lt;/i&gt; (Bonpl.) em castanhais nativos do estado do Acre

Azevedo, Valéria Rigamonte; Wadt, L. H. de O.; Pedrozo, Cássia Ângela; Fonseca, F. L. da; Resende, Marcos Deon Vilela de

doi:10.5902/1980509834304

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…In this sense, several studies have already been carried out, such as Dutra Filho et al (2020) who used repeatability analysis methods for the selection of Saccharum officinarum genotypes, with greater longevity in the stalks. Azevedo et al (2020) estimated the repeatability coefficients for the number of chestnut fruits and determined the appropriate number of measurements necessary for an efficient selection of promising chestnut trees (Bertholletia excelsa). Diel et al (2020a) estimated the repeatability coefficient and the number of measurements required for shows differences between the PCAcor and PCAcov methods.…”

Section: Resultsmentioning

confidence: 99%

Repeatability and number of measurements for productive variables in vegetable crops experiments

et al. 2022

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One of the ways to optimize the evaluation of the experiment and obtain high precision of the results is with the use of an adequate number of measurements for each variable observed in the experiment. In this sense, the objective of this study was to estimate the repeatability coefficient and the number of measurements necessary for the analysis of characters of production of zucchini, cucumber, pout pepper and pea. In the experiments carried out with zucchini and cucumber the variables number of fruits, fruit mass, fruit length, largest fruit diameter and smallest fruit diameter were evaluated. For pea the number, length and mass of pods, number and mass of grains per pod and for pout pepper number and mass of fruits, largest fruit diameter and length were evaluated. The repeatability coefficient (r) was estimated by the principal component method using the correlation matrix and the covariance matrix. The number of measurements for each variable was also determined based on the coefficients of determination of 0.80, 0.85, 0.90, 0.95 and 1.00. The estimated repeatability coefficient obtained the highest estimates using the covariance matrix, ranging from 0.67 to 0.84 for zucchini, from 0.66 to 0.97 for cucumber, from 0.47 to 0.70 for pea and from 0.57 to 0.71 for pout pepper. To evaluate the fruit mass in zucchini, cucumber, pea and pout pepper, are exactly, respectively, 7, 4, 8 and 8 measurements for a coefficient of determination of 95%.

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Section: Resultsmentioning

confidence: 99%

Repeatability and number of measurements for productive variables in vegetable crops experiments

et al. 2022

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“…The plant breeding process is time consuming, expensive and laborious due to the prolonged period of experimental evaluation and selection of superior genotypes before commercialization [27,28]. Therefore, the adoption of more robust and efficient statistical methodologies is essential to guide the process of genetic gain, especially in perennial species [29].…”

Section: Introductionmentioning

confidence: 99%

Genetic Parameters, Prediction of Gains and Intraspecific Hybrid Selection of Paspalum notatum Flügge for Forage Using REML/BLUP

et al. 2022

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Genetic improvement of native forage species is a sustainable alternative for maximizing livestock production. Paspalum notatum Flügge is the most important forage grass in the native grasslands of southern Brazil, with substantial potential available for further genetic improvement. The objective of this study was to quantify a range of genetic parameters and predict yield gains in a population of P. notatum intraspecific hybrids. Results indicated intraspecific hybrids of P. notatum had high magnitudes of heritability in the broad and average sense of genotype, plus high selective accuracy and genetic variation for all forage characteristics evaluated. This indicated REML/BLUP can contribute useful information for plant selection in future plant breeding programs. The genetic material studied showed high genetic variability for forage production. Analysis indicated hybrids 336, 332, 437, 132 and male parent ‘30N’ should be included in new crosses to increase the dry matter production of P. notatum. Parents need to be selected from different groups in order to maximize genetic variability and heterosis. In addition, these parents must be included in diallel crosses. The results obtained in this study provide important information for the future breeding of improved P. notatum cultivars for commercialization.

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“…The evaluation and selection of superior genotypes comprise the main stages of a genetic improvement program, which tend to be time consuming and laborious in perennial crops (Sales et al, 2019;Azevedo et al, 2020;Ambrósio et al, 2021), such as the orange tree. Therefore, the adoption of more efficient statistical methods is essential for the genetic improvement of the species, considering the experiments involve long periods and high costs.…”

Section: Introductionmentioning

confidence: 99%

Use of the REML/BLUP methodology for the selection of sweet orange genotypes

Capistrano

Neto

Santos

et al. 2021

Pesq. agropec. bras.

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The objective of this work was to select superior sweet orange (Citrus sinensis) genotypes with higher yield potential based on data from eight harvests, using the residual or restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) methodology. The experiment was carried out from 2002 to 2008 and in 2010 in the municipality of Rio Branco, in the state of Acre, Brazil. Analyzes of deviance were performed to test the significance of the components of variance according to the random effects of the used model, and parameters were estimated from individual genotypic and phenotypic variances. A selection intensity of 20% was adopted regarding genotypic selection, i.e., only the best 11 of the 55 genotypes tested were selected. The estimates of the genetic parameters show the existence of genetic variability and the selection potential of the studied sweet orange genotypes. The genotypic correlation between harvests is of low magnitude, except for the variable average fruit mass, and, as a reflex, there is a change in the ordering of the genotypes. Genotypes 5, 48, 19, 14, and 47 stand out as being the most productive, and, therefore, are the most suitable for selection purposes. Genotypes 14 and 47 show superior performance for the character set evaluated.

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Coeficiente de repetibilidade para produção de frutos e seleção de matrizes de <i>Bertholletia excelsa</i> (Bonpl.) em castanhais nativos do estado do Acre

Cited by 8 publications

References 11 publications

Repeatability and number of measurements for productive variables in vegetable crops experiments

Repeatability and number of measurements for productive variables in vegetable crops experiments

Genetic Parameters, Prediction of Gains and Intraspecific Hybrid Selection of Paspalum notatum Flügge for Forage Using REML/BLUP

Use of the REML/BLUP methodology for the selection of sweet orange genotypes

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