Seleção genômica ampla e novos métodos de melhoramento do milho

Fritsche‐Neto, Roberto; Resende, Marcos Deon Vilela de; Miranda, Glauco Vieira; DoVale, Júlio César

doi:10.1590/s0034-737x2012000600009

Cited by 19 publications

(14 citation statements)

References 10 publications

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“…In recurrent genomic selection (RGS), a procedure that applies the principles of genomic selection (GS) in RS, the time needed for each selection cycle can be shortened, since the evaluation and recombination steps can be carried out simultaneously by RGS. This method is a form of direct early selection without having to wait for the expression of adult traits (Fritsche‐Neto, de Resende, Miranda, & Dovale, 2012; de Resende et al., 2010). Consequently, the time required for one selection cycle is shortened to only one growing season.…”

Section: Introductionmentioning

confidence: 99%

Genomic selection helps accelerate popcorn population breeding

Schwantes

Júnior

Filho³

et al. 2020

Crop Science

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Recurrent selection is a method for developing new popcorn (Zea mays L.) cultivars.We aimed to determine the selection accuracy and genetic gains for different selection strategies: estimates based exclusively on phenotypic data (PhEN), estimates based on phenotypic and genotypic data (PhEN + GEN), and estimates based exclusively on single nucleotide polymorphism (SNP) marker genotyping (GEN). For the GEN strategy, we tested, via simulation, the possibility of reducing the number of SNPs and increasing the training population. The traits evaluated were 100-grain weight, ear height, grain yield, popping expansion, plant height, and popping volume. Field trials were undertaken with 98 S 1 progenies at two locations in an incomplete block design with three replications. The progenies' parents were genotyped with a panel of ∼10,507 SNPs. As predicted by the GEN strategy at different selection intensities, the average annual genetic gain for the different traits were 29.1 and 25.2% higher than those of PhEN and GEN + PhEN for 98 candidates; 148.3 and 140.9% higher for 500; and 187.9 and 179.4% higher for 1,000 selection candidates, respectively. Recurrent genomic selection may result in high genetic gain, provided that: (a) phenotyping is accurate; (b) selection intensity is explored by genotyping several progenies and increasing the number of candidates; (c) genomic selection is used for early selection;and (d) the model is adjusted for a few more cycles of phenotyping. The simulation suggests that desirable values of genetic gain may be obtained by reducing the number of SNPs and increasing the training population size.

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Section: Introductionmentioning

confidence: 99%

Genomic selection helps accelerate popcorn population breeding

Schwantes

Júnior

Filho³

et al. 2020

Crop Science

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“…The REML/Blup method for this kind of estimate in the corn crop has been efficiently used in the selection of promising cultivars (Arnhold et al, 2012;Fritsche-Neto et al, 2012;Mendes et al, 2012). In addition, studies developed by Arnhold et al (2012) and Silva et al (2014) show the importance of studying the GxE interaction in the corn-growing regions in Brazil, due to the great diversity of edaphoclimatic conditions in the country, as well as to the diversity of corn cultivars available in the market.…”

Section: Introductionmentioning

confidence: 99%

Selection of corn cultivars for yield, stability, and adaptability in the state of Amazonas, Brazil

Oliveira

Atroch

Dias

et al. 2017

Pesq. agropec. bras.

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-The objective of this work was to evaluate corn cultivars grown in the state of Amazonas, Brazil, which simultaneously show high grain yield, adaptability, and stability. The trials were carried out in seven environments in the state of Amazonas, in a randomized complete block design, with two replicates. The grain yield of 30 corn cultivars was evaluated in four growing seasons, from 2011/2012 to 2014/2015. The genetic parameters were estimated by the REML/Blup methodology. The selection for adaptability and stability was based on the predicted genetic value and on the harmonic mean of the relative performance of the genetic values. Despite the existence of genotype x environment interaction, cultivars with high adaptability and stability were identified. Iranduba -lowland, in

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“…The variance of the genotype - location interaction was only significant for GY (p <0.01) and PV (p <0.01). The values of the coefficients of variation were acceptable for the studied traits (4).…”

Section: Resultsmentioning

confidence: 78%

“…According to (51), it is not possible to determine after how many cycles the model will become effective, because changes in the LD pattern, allele frequencies and polymorphism losses are unpredictable. According to (4), it is claimed that GS can be used from one to three RS cycles without a phenotypic evaluation, although this statement will need further evaluation. On the other hand, (41) performed five GS cycles and observed that the genetic gains in maize grain yield generally agreed with the predicted level, although the gains after the first cycle were unstable.…”

Section: Discussionmentioning

confidence: 99%

“…By Recurrent Genomic Selection (RGS) - a procedure that applies the principles of Genomic Selection (GS) in recurrent selection - the time needed for each selection cycle can be shortened, since by RGS, the evaluation and recombination steps can be carried out simultaneously. This method is a form of direct early selection, i.e., it has a premature effect on genes expressed in adulthood (3,4). Consequently, the time required for one selection cycle is shortened to only one growing season.…”

Section: Introductionmentioning

confidence: 99%

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First Report of Recurrent Genomic Selection with Real Data in Popcorn and Genetic Gain Increases

Ia¹,

At²,

Je³

et al. 2018

Preprint

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Recurrent Selection increases the frequencies of favorable alleles for economically important traits, which in the case of popcorn are popping expansion and grain yield. However, is time-consuming, since each selection cycle consists of three stages: progeny development and evaluation, and recombination of the best families. With the Recurrent Genomic Selection use, the time required for each selection cycle can be shortened, as it allows the evaluation and recombination phases to be performed simultaneously, reducing the time needed to complete one selection cycle to only one growing season. In this respect, the objective of this study was to determine the selection accuracy and genetic gains for different selection strategies: PhEN = estimates based exclusively on the phenotypic data of 98 plants; PhEN + GEN = estimates based exclusively on the phenotypic and genotypic data of 98 plants; and GEN = estimates based exclusively on SNP marker genotyping. The following traits were evaluated: 100-grain weight, ear height, grain yield, popping expansion, plant height, and popcorn volume. Field trials were carried out with 98 S1 progenies, at two locations, in an incomplete block design with three replications. The parents of these progenies were genotyped with a panel of ~ 21K SNPs. From the results based on the predictions by strategy GEN, at different selection intensities, the average annual genetic gain for the different traits was 29.1% and 25.2% higher than that by the strategies PhEN and GEN + PhEN for 98 selection candidates; 148.3% and 140.9% higher for 500; and 187.9% and 179.4% higher for 1,000 selection candidates, respectively. Therefore, recurrent genomic selection may result in a high genetic gain, provided that: i) phenotyping is accurate; ii) selection intensity is explored by genotyping several plants, increasing the number of selection candidates, and iii) genomic selection is used for early selection in recurrent selection.

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Seleção genômica ampla e novos métodos de melhoramento do milho

Cited by 19 publications

References 10 publications

Genomic selection helps accelerate popcorn population breeding

Genomic selection helps accelerate popcorn population breeding

Selection of corn cultivars for yield, stability, and adaptability in the state of Amazonas, Brazil

First Report of Recurrent Genomic Selection with Real Data in Popcorn and Genetic Gain Increases

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