Estudo da repetibilidade genética em clones de couve

Azevedo, Alcinei Místico; Júnior, Valter Carvalho de Andrade; Pedrosa, Carlos Enrrik; Valadares, Nermy Ribeiro; Andrade, Renner F; Souza, J.R.S.

doi:10.1590/s0102-053620160000100008

Cited by 8 publications

(12 citation statements)

References 13 publications

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“…and Brazilian Oil Palm (Elaeis oleifera (H.B.K.) Cortés) (Chia et al, 2009), araça (Psidium cattleyanum) and pitanga (Eugenia uniflora) (DANNER et al, 2010); peach palm (Bactris gasipaes) (BERGO et al, 2013), sweet orange (NEGREIROS et al, 2014), and kale (Brassica oleracea) (AZEVEDO et al, 2016), the estimates obtained by the Anova method were always lower than those obtained by the multivariate analysis because, according to Cruz et al (2012), the Anova method does not remove the environmental effect of alternating production in different years, underestimating the repeatability coefficient.…”

Section: Resultsmentioning

confidence: 99%

“…Despite the variation in the r estimates, the high values obtained by the multivariate methods, especially PCCV, indicate regularity in the repetition of clone performance over the evaluations (Cruz et al, 2012 Using the PCCV method, the minimum number of fruits required to predict the true value of the clone, with 95% determination coefficient for fruit length (2), fruit diameter (14), fruit mass (3), pulp mass (3), skin mass (15), pulp yield (8), skin thickness (13), number of seeds (11), firmness (7), soluble solids (1), titratable acidity (1), soluble solids/ titratable acidity ratio (3), and pH (6) will be 15 fruits, as it was established for the trait skin mass, since the estimates of the other traits are included in this value, and fruit quantities over 11 for the traits fruit diameter, skin mass, skin thickness, and number of seeds are due to their larger effect of the interaction genotype x environment (AZEVEDO et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

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Repeatability of Fruit Quality Traits of Cactus Pear

Nunes

Oliveira

et al. 2017

Rev. Bras. Frutic.

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-Repeatability analysis has been used to study traits in several crops, assisting in the definition of the minimum number needed to evaluate genotypes more efficiently and with less time and resource consumption. So far, however, no repeatability studies on cactus pear have been found in the literature. The objective of this study was to determine the coefficient of repeatability for cactus pear fruits traits and the minimum number of evaluations (fruit) that can provide acceptable accuracy for the prediction of the true value. The experiment was conducted at the Federal Institute of Bahia/Campus Guanambi, with 150 fruits collected from three municipalities in the state of Bahia. The coefficients of repeatability were estimated by the methods of analysis of variance, principal components based on the covariance (PCCV) and correlation (PCC) matrices, and structural analysis based on the correlation matrix (SA). The analysis of variance showed that, except for fruit diameter, the effect of the production site (municipality) was significant for all traits evaluated. The PCCV method was proven the most suitable for studying the repeatability of quality traits of cactus pear fruits. Seven fruits were required to determine, with 90% confidence, the traits length, diameter, fruit firmness, skin thickness, number of seeds, fruit mass, bark mass, pulp mass, pH, titratable acidity, soluble solids, SS/AT ratio, and pulp yield.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Repeatability of Fruit Quality Traits of Cactus Pear

Nunes

Oliveira

et al. 2017

Rev. Bras. Frutic.

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“…In multi-harvest crops such as kale, it is important to perform repeatability studies (Chia, Lopes, Cunha, Rocha, & Lopes, 2009;Azevedo et al, 2016a). This enables the establishment of a number of harvests that must be performed for efficient selection of the best progenies (Sobrinho, Borges, Lédo, & Kopp, 2010;Bruna, Moreto, & Dalbó, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…Kale is a vegetable with nutritional characteristics of interest, such as high levels of carbohydrates, proteins, vitamins and fibre (Novo, Prela-Pantano, Trani, & Blat, 2010). However, there is a need for cultivars with higher productivity and resistance to the crop's major pests (Azevedo et al, 2016a;Azevedo et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…The selection of kale genotypes is based on several harvests (Azevedo et al, 2016a); thus, information on the minimum number of harvests is needed to avoid more evaluations than are necessary, which would entail the waste of labour and financial resources (Cruz, Regazzi, & Carneiro, 2012). To establish how many and which harvests should be contemplated during progeny selection, repeatability and phenotypic stabilization studies can be performed (Martuscello et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Study of repeatability and phenotypical stabilization in kale using frequentist, Bayesian and bootstrap resampling approaches

et al. 2019

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The aim of this study was to obtain information for the genetic improvement of kale through repeatability and phenotypic stabilization studies and to compare methodologies that represent the reliability of the estimated parameters. Thirty-three half-sib progenies were evaluated in a randomized block design with three replicates and six plants per plot. Eight harvests were evaluated in terms of the yield of fresh leaves, number of shoots, number of leaves and average mass of leaves. Then, a phenotypic repeatability and stabilization study was performed, estimating the genetic parameters σ2a, σ²g, σ²e, and the coefficient of environmental variation and repeatability using the frequentist and Bayesian methodologies. To evaluate the reliability of these estimates, intervals were obtained using the frequentist, Bayesian and bootstrap methods. It was verified that the reliable selection of progenies of half-sib of kale can be achieved in four harvests that were realized between 95 and 170 days after planting. It was observed that the frequentist and Bayesian methodologies are better suited to obtain reliable estimates of the genetic parameters evaluated, as the last one provided smaller amplitudes for the obtained intervals. The bootstrap methodologies are not recommended for phenotypic repeatability and stabilization studies in kale.

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