Repetibilidade e número de colheita de características para seleção de clones de variedades viníferas

Cargnin, Adeliano

doi:10.1590/0103-8478cr20141346

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…To this end, repeated measurements are made in the same individual, especially in perennial plants (NASCIMENTO FILHO et al, 2009;DANNER et al, 2010;BRUNA;MORETO;DALBÓ, 2012;CARGNIN, 2016). In addition, in guava, the farmer harvests several crops from the same plant.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Structures of Covariance and Repeatability in Guava Segreganting Population

et al. 2017

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-The present study was conducted with the objective of analyzing the covariance structure and repeatability estimates of the variables related to guava productivity, such as fruit weight (FW), fruit number (FN) and fruit production (FP) of three harvests, in 95 genotypes of a segregating population. The study also aims to choose the most appropriate covariance structure of the observations within the same individual by means of AIC (Akaike's Information Criterion) and SBC (Schwarz's Bayesian Criterion) criteria. A covariance structure between repeated measures could be incorporated into the statistical model, with the self-regression and compound symmetry forms being the most adequate. The values of repeatability coefficients obtained for FW (0.25), FN (0.14), and FP (0.29) were considered low, indicating that the three harvests were not sufficient to select the best individuals with greater accuracy for the study population. For the variables PF and FP, estimates of accuracy around 0.50 could be obtained from five measurements, while for the variable FN more harvests would be necessary. These values indicate that in guava-segregating populations, evaluations in the first harvests are not enough to select more stable genotypes for the variables considered in this study.Keywords: Covariance structure. Coefficient of repeatability. Psidium guajava. ANÁLISE DE ESTRUTURAS DE COVARIÂNCIAS E REPETIBILIDADE EM POPULAÇÃO SEGREGANTE DE GOIABEIRARESUMO -O presente estudo foi conduzido com o objetivo de analisar estrutura de covariância e estimativas de repetibilidade das variáveis relacionadas à produtividade da goiabeira como massa dos frutos (MF), número de frutos (NF) e produção de frutos (PROD) de três safras, em 95 genótipos de uma população segregante. E por meio dos critérios de AIC (Akaike's Information Criterion) e SBC (Schwarz's Bayesian Criterion) escolher a estrutura de covariância mais adequada das observações dentro de um mesmo indivíduo. Foi possível incorporar ao modelo estatístico, uma estrutura de covariância entre medidas repetidas, sendo as formas autorregressiva e simetria composta as mais adequadas. Os valores dos coeficientes de repetibilidade obtidos para PF (0,25), NF (0,14) e PROD (0,29) foram considerados baixos, indicando que para a população em estudo as três safras realizadas não foram suficientes para selecionar os melhores indivíduos com maior acurácia. Para as variáveis PF e PROD, a partir de cinco medições seria possível a obtenção de estimativas de acurácias em torno de 0,50. Enquanto que para a variável NF, observou-se que mais safras seriam necessárias. Estes valores indicam que em populações segregantes de goiabeira, avaliações nas primeiras safras, não são suficientes para seleção de genótipos mais estáveis para as variáveis consideradas neste estudo.Palavras-chave: Estrutura de covariância. Coeficiente de repetibilidade. Psidium guajava.

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Section: Introductionmentioning

confidence: 99%

Analysis of Structures of Covariance and Repeatability in Guava Segreganting Population

et al. 2017

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“…It is noteworthy that for many traits evaluated, the number of fruits/measurements required is just one fruit, which, according to Cargnin (2016), is due to high heritability estimates, that is, traits that are not much influenced by the environment, and because the genetic material derives from clones. Chia et al (2009) argues that, within acceptable levels of precision, one should reduce the number of evaluations to save time and resources.…”

Section: Resultsmentioning

confidence: 99%

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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“…Thus, using statistical procedures, it is possible to evaluate production characteristics of each harvest in order to predict how many accurate observations should be made on each character, to confirm data authenticity, achieving high productivity and avoiding production costs. Repeatability coefficient is used as statistics parameter (Cargnin, 2016); it is defined as the correlation between measurements of a given character in the same individual, whose measurements were repeated in time or space (Cruz et al, 2012). Additionally, repeatability expresses the maximum limit that in a broad sense can be achieved, being heritability the explanation of the…”

Section: Researchmentioning

confidence: 99%

Repeatability and heritability of production characters in strawberry fruits

et al. 2020

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The estimation of repeatability coefficient provides support to define the number and the appropriate period of genotype evaluations, obtaining better success in breeding programs, in order to lower labor costs. Therefore, knowing repeatability and heritability parameters is relevant. Thus, the aim of this study was to estimate the repeatability and heritability coefficients and accurately determine the number of measurements. Eight strawberry cultivars were analyzed in a randomized block design with four replicates and eighteen plants per plot, being harvested twice a week over a period of six months (May to October, 2012), totalizing six evaluations. Among the evaluated traits, the estimated heritabilities ranged from 3.13% (number of fruits) to 40.20% (average fruit mass) whereas the repeatability ranged from 9.00 to 42.06% for the same characters. The minimum number of evaluations, to reach a coefficient of determination with an accuracy of about 80%, ranged from the maximum of 40 for fruit number and the minimum of 6 for average fruit mass. In order to be considered commercially important marketable fruit mass, minimum of 20 evaluations are required, it means, at least, 20 months.

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Repetibilidade e número de colheita de características para seleção de clones de variedades viníferas

Cited by 6 publications

References 7 publications

Analysis of Structures of Covariance and Repeatability in Guava Segreganting Population

Analysis of Structures of Covariance and Repeatability in Guava Segreganting Population

Repeatability of Fruit Quality Traits of Cactus Pear

Repeatability and heritability of production characters in strawberry fruits

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