Prediction of genotypic values of maize for the agricultural frontier region in northeastern Maranhão, Brazil

Mora, Freddy; Antônio, Cleso; Pacheco., P.; Wilson, Hélio; Carvalho, Lemos de

doi:10.1590/s1984-70332012000200009

Cited by 2 publications

(4 citation statements)

References 15 publications

(22 reference statements)

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“…Therefore, the coefficient of determination (R 2 GxE =0.51) confirmed the large participation of the GxE interaction in the phenotypic variance of the genotypes (Table 1). This fact was also shown by the median genotypic correlation between the performances in the various environments (r g(L) =0.31), which results in the complex part of the GxE interaction and causes certain difficulty in the selection of genotypes with a more ample adaptation, as also noted by Arnhold et al (2012) and Mendes et al (2012), in a study on the genotype x environment interaction in corn.…”

Section: Resultsmentioning

confidence: 80%

“…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%

“…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%

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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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Section: Resultsmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

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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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show abstract

“…According to Arnhold et al (2012), analyzing 128 different maize genotypes in two years, reported a correlation of 0.75 between phenotypic and genotypic means using mixed models, showing that the selection based on phenotypic means may not reflect the selection of the same individuals by genotypic means. The same authors also reported that, in occasion of data loss, the mixed models are preferable.…”

Section: Resultsmentioning

confidence: 99%

Estimates of genetic parameters and genotypic values prediction in maize landrace populations by REML/BLUP procedure

Baretta¹,

Nardino²,

Carvalho³

et al. 2017

Genet. Mol. Res.

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The REML/BLUP statistics are analyses that can be used as selective criteria in the routine of maize breeding programs. The present study aims to determine the genetic potential in crosses of landrace populations applying the REML/BLUP methodology, and to identify populations for the synthesis of new populations and intrapopulation selection for family farming systems, as well as genetic constitutions for use in maize breeding programs. Nine top cross hybrids obtained in the 2012/2013 harvest were evaluated along with their testator, the landraces used as parents, and four commercial hybrids, in a randomized block design, with information taken from the average of each plot. The evaluated traits were: leaf angle, number of ramifications of the tassel, spike insertion height, plant height, spike diameter, number of grains per spike, mass of grains per spike, spike mass, spike length, prolificity, mass of one hundred grains, and grain yield per plot. The data were analyzed using the Selegen-REML/BLUP software. The top cross hybrids Cateto Branco x Planalto, Amarelão x Planalto and the population Cateto Branco are ranked among the ten best crosses, simultaneously, for the traits: leaf angle, number of ramifications of the tassel, spike insertion height, and plant height (Cateto Branco x Planalto), and leaf angle, spike insertion height, and plant height (Amarelão x Planalto and Cateto Branco). The top cross hybrids Criolão x Planalto, Branco 8 Carreiras x Planalto, Caiano Rajado x Planalto, Amarelão x Planalto, Branco Roxo Índio x Planalto stand out for their high genotypic value of the individual BLUP mean components among the ten best genotypes for grain yield, and by combining three or more traits of interest together, being, for effects of selection, the most indicated.

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Prediction of genotypic values of maize for the agricultural frontier region in northeastern Maranhão, Brazil

Abstract: -

Cited by 2 publications

References 15 publications

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

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

Estimates of genetic parameters and genotypic values prediction in maize landrace populations by REML/BLUP procedure

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