Seleção de progênies de meios-irmãos do composto Isanão VF-1 de milho na safra e safrinha

Candido, Liliam Silvia; Andrade, João Antônio da Costa; Garcia, Fabiana; Gonçalves, Leandro Simões Azeredo; Júnior, Antônio Teixeira do Amaral

doi:10.1590/s0103-84782011005000072

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…The estimates were, however, greater for PH and about the same for EH in relation to 45 estimates summarized by Hallauer & Miranda Filho (1988). Estimates higher than those herein observed were found by Candido et al (2011) in the population Isanão (a brachytic composite) in which the higher variability may be the result of different expression of the brachytic gene (br 2 ) in the homozygous state in different genotypes. For PH the estimates also were very smaller than the average (579.3 cm 2 , over three locations) reported by Kist et al (2010).…”

Section: Resultscontrasting

confidence: 87%

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Genetic variability and yield potential of three semiexotic maize (Zea mays L.) populations

Oliveira¹,

Reis²,

Filho³

et al. 2015

Biosci. J.

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ABSTRACT:The rapid increase of the maize crop in the last decades in Brazil, mainly in the Central West region, has encouraged the second crop (usually maize after soybean) in the same year. For that reason the need for the exploitation of new sources of germplasm seems to be apparent to attend the challenge to create new cultivars (populations or hybrids) adapted to the extremely varying environments. Following this principle, the objective of the present work was directed to the study of genetic variability and yield potential of three semiexotic populations (CRE-01, CRE-02, CRE-03) under the condition of second crop in the Southwest region of the State of Goiás (Brazil). In addition, one cycle of recurrent selection with half-sib families was completed in each population. Half-sib families from each population (200, 180 and 180, respectively) were evaluated in completely randomized block experiments with three replications in Jataí (GO). Parameters estimates were obtained for ear yield (EY), grain yield (GY), plant height (PH), ear height (EH), ear length (EL) and ear diameter (ED). The population means for GY were 5.68 t/ha, 5.83 t/ha and 5.83 t/ha, which were around 70% of the hybrid check. The coefficients of heritability (family mean basis) varied from 0.36 to 0.70; 0.47 to 0.69; and 0.39 to 0.68 for the respective populations. Estimates of the additive genetic variance for grain yield (g/plant) were 316.1, 266.4 and 258.4; and the expected gain from selection were 11.8%, 10.1% and 9.3%, respectively.

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Section: Resultscontrasting

confidence: 87%

“…However, the use of half-sib families has been commonly used for that purpose in Brazil (VENCOVSKY et al, 1988). Several other reports have corroborated this fact (CARVALHO et al, 2007;ANDRADE;MIRANDA FILHO, 2008;SOUZA et al, 2009;LIMA NETO;SOUZA JÚNIOR, 2009;FALUBA et al 2010;KIST et al, 2010;CANDIDO et al, 2011).…”

Section: Introductionmentioning

confidence: 75%

Genetic variability and yield potential of three semiexotic maize (Zea mays L.) populations

Oliveira¹,

Reis²,

Filho³

et al. 2015

Biosci. J.

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“…These estimates were similar and, in some cases, higher than those in other maize breeding studies involving half‐sib progenies (Berilli et al., 2013; Candido, Andrade, Garcia, Gonçalves, & Amaral Júnior, 2011; Carvalho & Souza, 2007; Carvalho, Leal, Santos, & Souza, 2003; Faluba et al., 2010; Paterniani, Guimarães, Bernini, & Gallo, 2015). It is important to highlight that the estimates of the genetic parameters that were obtained through different assays are difficult to compare due to the peculiarities of each assay, such as the type of progeny used, the number of environments, and the number of replications (Hallauer et al., 2010).…”

Section: Resultssupporting

confidence: 76%

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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“…The Mulamba & Mock index also provided the highest magnitudes of predicted gains for most traits with the use of economic weights assigned in popcorn (Santos et al, 2007;Freitas Júnior et al, 2009;Freitas Júnior et al, 2013). Candido et al (2011), reported that the most appropriate proportional gains for the set of traits were obtained by the economic weights assigned with the use of the Mulamba & Mock index in corn. Although the Mulamba & Mock index allowed obtaining satisfactory gains for the studied traits by using economic weights assigned, based on the premise of Cruz (1990) in plant breeding, economic weights assigned are difficult to be established.…”

Section: Estimates Of Genetic Gains By Selection Indexmentioning

confidence: 99%

Prediction of genetic gains and correlations in corn hybrids for silage

Crevelari¹,

Durães²,

Bendia³

et al. 2017

Aust J Crop Sci

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During the dry season the production of pastures dicreases. Usually, it makes the situation necessary to use corn silage as fibrous fodder source. The aim of this study was to develop corn hybrids for silage production, prioritizing hybrid combinations of the heterotic group 'DENT' to better understand the association between the evaluated traits and to optimize the selection process by using selection indices. Nineteen topcross hybrids and five controls were evaluated in a complete randomized block design with four and five replications in the agricultural years of 2013 and 2014. The following traits were evaluated: plant height, first ear height, stem diameter, yield at silage stage, ear yield with and without straw at silage stage, fresh mass yield, and proportion of grains in the fresh mass. The highest coefficients of correlation were obtained between yield and ear yield with straw (r = 0.94**), and between ear yield with straw and fresh mass yield (r = 0.89**). The Mulamba & Mock selection index was used for prediction of genetic gains. For selection of the superior hybrids, the index resulted in higher estimates of predicted gains for yield at silage stage and fresh mass yield, with values of 6.13 and 4.46%, respectively, using weights assigned. The use of selection indices allows simultaneous prediction of gains in the two main traits. Topcross hybrids presented high potential for silage yield in the North and Northwest Regions.

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Seleção de progênies de meios-irmãos do composto Isanão VF-1 de milho na safra e safrinha

Cited by 5 publications

References 6 publications

Genetic variability and yield potential of three semiexotic maize (Zea mays L.) populations

Genetic variability and yield potential of three semiexotic maize (Zea mays L.) populations

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

Prediction of genetic gains and correlations in corn hybrids for silage

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