Association of secondary traits with yield in maize F 1 's

Nardino, Maicon; Souza, Velci Queiróz de; Baretta, Diego; Konflanz, Valmor Antônio; Carvalho, Ivan Ricardo; Follmann, Diego Nicolau; Caron, Braulio Otomar

doi:10.1590/0103-8478cr20150253

Cited by 23 publications

(17 citation statements)

References 20 publications

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“…These differences may have occurred due to environmental effects embedded in the phenotypic trait associations (Ferreira et al., 2008). This finding has also been made in other studies involving the decomposition of correlations of different types (Baretta et al., 2016; Nardino, Souza, et al., 2016).…”

Section: Resultssupporting

confidence: 83%

Dealing with multiple traits in maize: A new approach for selecting progenies

et al. 2020

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Many maize (Zea mays L.) breeding programs select genotypes considering just grain yield. However, this strategy may not be efficient due to undesirable associations between grain yield and other traits. The breeder's challenge is to combine good characteristics in one genotype. The aim of this study was to propose a new approach to select maize progenies considering multiple traits. One hundred forty‐one half‐sib progenies were evaluated for 14 agronomic traits in a 12 by 12 triple lattice design in two environments. Four progeny selection strategies were performed to increase yield. Strategy 1, considering just yield; Strategy 2, considering all traits in a selection index; Strategy 3, considering only traits that have effect in yield, based on path analysis; and Strategy 4, similar to Strategy 3, but disregarding any trait showing undesirable correlation with other traits. Strategies 2, 3, and 4 considered Smith and Hazel index. The progenies selected by Strategy 4 showed more balanced predicted gains considering all traits. Its predicted gain in all traits related to yield was higher than the of Strategies 2 and 3, and it led to smaller gains in height and flowering time, which breeders want to decrease its means. Strategy 1 showed the best gains in yield, as expected, but obtained undesirable phenotypes for the other traits. The use of path analysis to delineate the Smith and Hazel index is a very appealing approach for selecting maize progenies and the Strategy 4 was the most efficient at accomplishing balanced gains for multiple traits.

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Section: Resultssupporting

confidence: 83%

Dealing with multiple traits in maize: A new approach for selecting progenies

et al. 2020

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“…Evaluating grain yield components of maize hybrids grown in four different environments from southern Brazil, Nardino et al (2016) found no significant interaction. Paixão (2008) verified significant genotype × environment interaction for plant height and spike insertion height, evaluating genotypes of broad genetic basis.…”

Section: Resultsmentioning

confidence: 90%

Agronomic Performance and Multivariate Analysis Applied to Three-Waycross Maize Hybrids

Rosa¹,

Carvalho²,

Szareski³

et al. 2018

JAS

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The aim of this wok was to evaluate the agronomic performance of three-waycross maize hybrids grown in different environments, to determine linear associations and to employ multivariate analysis for the measured traits. The experimental design used was randomized blocks in factorial scheme, arranged in three replicates. The three-way cross maize hybrids evaluated evidence phenotypic variability for the traits spike diameter, spike length, number of rows with grains, number of grains per row, cob mass and spike grains mass. The growing environment of Campos Borges-RS favors the increment of spike diameter, number of grains per row, spike mass, cob diameter, cob mass, mass of a thousand grains, spike grains mass and grain yield. Significant interactions between three-way cross maize hybrids and growing environments are verified for plant height, spike insertion height and prolificity. The traits spike diameter, mass of a thousand grains and mass of grains per spike present positive correlation with maize grain yield. The distinction of three-way cross hybrids is based on spike insertion height, spike diameter, plant height and mass of a thousand grains. The hybrids 2B688 HX® and 2A55 HX® are genetically closer, according to the biometric approach of canonical variables.

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“…Thus, studies evaluating tassel traits related to grain yield have been carried out in half-sib families of an ESALQ-PB1 population (Andrade and Miranda Filho, 2008), in parental lines of Pioneer-brand maize hybrids (Lauer et al, 2012), in recombinant inbred lines in temperate and tropical climates (Brewbaker, 2015), in inbred lines of two heterotic groups (Nardino et al, 2016a), and in F1 hybrids (Nardino et al, 2016b). In general, those studies have confirmed the relationship between tassel traits and grain yield.…”

Section: Introductionmentioning

confidence: 95%

Sample sizes to estimate mean values for tassel traits in maize genotypes

et al. 2016

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Tassel traits are important in maize breeding programs aiming to reduce the size and number of branches and maintain satisfactory pollen production in order to increase grain yield. The objectives of this study were to determine the sample size (number of tassels) required to estimate the mean values for tassel traits in maize genotypes and to verify the variability of sample size among genotypes. Twenty maize genotypes were evaluated in an experiment carried out in a randomized block design with three replicates. Twenty tassels were randomly collected in each plot, for a total of 1200 tassels. In each tassel, the following traits were measured: peduncle dry matter, branching space dry matter, central spike dry matter, tassel dry matter, peduncle length, branching space length, central spike length, tassel length, tassel dry matter to tassel length ratio, number of primary branches, number of secondary branches, and tassel branch number. Measures of central tendency and variability were calculated, analysis of variance and mean comparison tests were performed, normality was verified, and the sample size was determined. In order to estimate the means with the same precision, the sample size for weight traits was greater than that for length traits. For tassel traits, 11, 20, and 43 tassels are sufficient to estimate the mean with a precision of 40, 30, and 20%, respectively, of the estimated mean at a 95% confidence level. These data show that there is sample size variability among maize genotypes.

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Association of secondary traits with yield in maize F 1 's

Abstract: The objective was to identify phenotypic and genotypic associations, and cause-and-effect relations of secondary components on primary components to establish criteria in the indirect

Cited by 23 publications

References 20 publications

Dealing with multiple traits in maize: A new approach for selecting progenies

Dealing with multiple traits in maize: A new approach for selecting progenies

Agronomic Performance and Multivariate Analysis Applied to Three-Waycross Maize Hybrids

Sample sizes to estimate mean values for tassel traits in maize genotypes

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