Seleção de híbridos diplóides (AA) de bananeira com base em três índices não paramétricos

Abstract

RESUMOObjetivou-se selecionar híbridos diplóides (AA) de bananeira com base em três índices não paramétricos, a fim de orientar a seleção e aumentar o aproveitamento da variabilidade existente no Banco de Germoplasma de Bananeira da Embrapa Mandioca e Fruticultura Tropical. Foram avaliados 11 híbridos, no delineamento de blocos ao acaso, com quatro repetições. As parcelas constituíram-se de seis plantas, espaçadas de 2,5 m x 2,5 m, tendo na bordadura plantas da cultivar Pacovan. Tomaram-se dados dos seguintes caracteres: altura da planta, diâmetro do pseudocaule, número de filhos na floração, número de folhas na floração, ciclo da planta do plantio à emissão do cacho, presença de pólen, número de pencas, número de frutos, comprimento do fruto e resistência à Sigatoka-amarela. As médias desses 10 caracteres foram empregadas no cálculo dos índices multiplicativos, de soma de classificação e da distância genótipo-ideótipo. Os dois híbridos de melhor desempenho geral, o SH3263 e o 1318-01, foram classificados, respectivamente, em primeiro e segundo lugares pelos índices multiplicativos e de soma de classificação, enquanto o índice da distância genótipo-ideótipo os classificou em primeiro e quarto lugares respectivamente. Embora os três índices tenham demonstrado uma boa correspondência entre o desempenho geral dos híbridos e a sua classificação, os índices multiplicativo e de soma de classificação propiciaram classificação mais adequada desses híbridos. Palavras-chave:Musa spp, variabilidade, índice de seleção. ABSTRACT SELECTION OF (AA) DIPLOID BANANA HYBRIDS USING THREE NON-PARAMETRIC INDICESThe objective of the present study was to select diploids (AA) hybrids of banana based on three nonparametric indices as to guide the selection and increase the use of the variability present in the Banana Germplasm Bank of Embrapa Cassava and Tropical Fruits. Eleven hybrids were evaluated in random blocks with four replicates. The plots consisted of six plants spaced 2.5 m x 2.5 m whereas the border rows were from the Pacovan cultivar. The following characteristics were evaluated: plant height, pseudostem diameter, number of suckers, number of leaves during flowering, plant cycle from planting to bunch emission, presence of pollen, number of hands, number of fruits, fruit length and yellow-Sigatoka resistance. The average of these ten characteristics was used for calculating the multiplicative indices of sum of classification and genotype-ideotype distance. The two hybrids presenting best global performance SH3263 and 1318-01 ranked respectively, first and second by the multiplicative indices and sum of classification whereas the genotype-ideotype distance index ranked them first and fourth . Although in general, all three indexes presented good coherence between general performance of the hybrids and their classification, the multiplicative and sum of classification indexes provided a more adequate classification of these hybrids.

Simultaneous selection in progenies of yellow passion fruit using selection indices

“…Similar results, regarding the two methodologies, were also found by Lessa et al, (2010), aiming to select diploid hybrids (AA) of banana using three non-parametric indices; they concluded that the indices of Elston (1963), Mulamba & Mock (1978) and Schwarzbach (1972, as cited in Wricke & Weber, 1986 were efficient to rank the diploid banana hybrids, however, the first two indices provided a better ranking.…”

Indexes in the comparison of pre-commercial genotypes of common bean

“…Another studies also report superiority of this index for alfalfa (VASCONCELOS et al, 2010), soybean (BÁRBARO et al, 2007), yellow passion fruit (ROSADO et al, 2012), popcorn (AMARAL JÚNIOR et al, 2010), cowpea (BERTINI et al, 2010), maize (RODRIGUES et al, 2011) and banana (LESSA et al, 2010).…”

“…The indexes that require estimates of genetic parameters are known as parametric indexes and are used in specifi c situations, being suitable when the genotypes form a random sample of the population (LESSA et al, 2010). For cases that involve genotypes that have already passed through the selective process (fi xed samples), the nonparametric index group exists, which does not require estimates of genetic parameters.…”

“…For cases that involve genotypes that have already passed through the selective process (fi xed samples), the nonparametric index group exists, which does not require estimates of genetic parameters. This group of indexes can be used, at least theoretically, both for random samples, as well as for fi xed samples (LESSA et al, 2010).…”

Combined selection and multivariate analysis in early generations of intraspecific progenies of peanuts

“…Most SI categories are obtained by maximizing the correlation between the genotypic value and the index, aiming at the maximum selection efficiency. The most commonly used SI are those based on ANOVA, the predicted genotypic values, the parametric and nonparametric indices (Vieira et al, 2006;Pedrozo et al, 2009;Lessa et al, 2010;Pinto et al, 2013). The latter have been adopted by selection processes in various crops (Garcia and Souza Jr., 1999;Amaral Júnior et al, 2010;Rosado et al, 2012).…”