Recurrent selection of popcorn composites UEM-CO1 AND UEM-CO2 based on selection indices

Vieira, Rafael Augusto; Rocha, Renato da; Scapim, Carlos Alberto; Amaral, Antônio Teixeira do

doi:10.1590/1984-70332017v17n3n40

Cited by 10 publications

(9 citation statements)

References 27 publications

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“…There are several studies that use the index methodology to predict genetic gains for maize selection (Amaral Júnior et al, 2010;Freitas et al, 2013;Vieira et al, 2017;Lima et al, 2018). However, studies on green-maize topcross hybrids -in which one of the parents is an open-pollinated variety, and the other is a single-cross hybrid, or an inbred line -using indexbased selection and REML/BLUP strategies are still scarce.…”

Section: Introductionmentioning

confidence: 99%

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Candido

Silva

Costa

et al. 2020

Pesq. agropec. bras.

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The objective of this work was to define the most suitable selective strategy for the simultaneous increment of yield components of green maize, by comparing three selection indexes weighted by economic weights and by the REML/BLUP method, in the assessment of predicted genetic gains for traits of interest. An experiment with 75 topcross hybrids from partially inbred S1 lines of green maize was carried out in Jataí, in the state of Goiás, Brazil, using a randomized complete block design, with four replicates. The following yield traits were evaluated: straw ears and commercial ears, grain mass, ear length, ear diameter, and number of ear rows. The selection indexes of Smith and Hazel, Williams, and Mulamba & Mock were applied and weighted for four economic weights (1, CVg, CVg/CVe, and h2). Among the tested selection indexes, those of Williams and Mulamba & Mock are the best-fit ones for the selection of topcross hybrids of green maize, as they provide positive and more balanced selection gains for all evaluated traits. The REML/BLUP method shows better predicted genetic gains than those achieved by the three selection indexes, besides being efficient for the selection of topcross hybrids of green maize.

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Section: Introductionmentioning

confidence: 99%

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Candido

Silva

Costa

et al. 2020

Pesq. agropec. bras.

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“…A selective pressure of 11.72% was adopted, for a total of 30 genotypes; the direct gains for the studied traits were calculated and, subsequently, the selection index was obtained from the sum of ranks (ranks) of Mulamba and Mock (1978), based on genotypic values. This index has proven efficiency in diverse crops, such as potato (Terres et al 2015), alfalfa (Vasconcelos et al 2010), popcorn (Vieira et al 2017), macaúba palm (Costa et al 2018), yellow passion fruit (Krause et al 2012), and coffee (Carias et al 2016). It has proven to be reliable and has provided balanced cultivars.…”

Section: Methodsmentioning

confidence: 99%

Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content

Otoboni

Oliveira

Vargas

et al. 2020

Crop Breed. Appl. Biotechnol.

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Estimating genetic parameters is an essential procedure to define strategies for breeding and selection of higher yielding genotypes. The use of a selection index can assist in decision making by combining the high yield trait with other desirable traits. The objective of this study was to verify the possibility of gains from selection in a sweet potato population to select potentially promising genotypes. The experiment was conducted in a randomized block design, with three plants per plot and two replications, consisting of 255 sweet potato genotypes and a commercial cultivar (256 treatments). The data were analyzed through REML/BLUP. Genetic gains were evaluated using selection indexes based on the rank sun. The plant population tested showed high genetic variability; 81.25% of the traits had genotypic coefficients of variation above 20%, which indicates conditions favorable to selection with considerable genetic advances. CERAT31-01, CERAT21-02, and CERAT51-30 can be recommended as the most promising genotypes.

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“…The choice of genotypes that combine the greatest number of traits desired by breeders and farmers can be made through the use of indices that allow simultaneous selection for all traits, and thus the gains distributed among them (Vieira, Rocha, Scapim, & Amaral Junior, 2017). The Smith (1936) and Hazel (1943) index, which is also known as the classic index, is based on the linear combination of all traits that can be somehow weighted, and the genetic and phenotypic covariance between them (Berilli, Pereira, Trindade, Costa, & Cunha, 2013; Freitas Júnior, Amaral Júnior, Rangel, & Viana, 2009; Rodrigues, Von Pinho, Albuquerque, & Von Pinho, 2011; Teixeira, Oliveira, Gonçalves, & Nunes, 2012; Vieira et al., 2017). However, the difficulty of assigning economic weights to traits and the choice of those that are most relevant to selection are critical reasons for the application of the Smith and Hazel index (Hallauer et al., 2010).…”

Section: Introductionmentioning

confidence: 99%

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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Recurrent selection of popcorn composites UEM-CO1 AND UEM-CO2 based on selection indices

Cited by 10 publications

References 27 publications

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content

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

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