Interação genótipo-ambiente em soja via análise de componentes principais com múltiplas matrizes de dados.

Científico, Artigo; Maia, Maria Clideana Cabral; Vello, Natal Antônio; Araújo, Lúcio Borges de; Tadeu, Carlos; Oliveira, Luís Cláudio de

doi:10.18227/1982-8470ragro.v8i1.1369

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Given the importance of the subject, studies have been developed with soybean (Stülp et al, 2009;Meiotti et al, 2012;Yokomizo et al, 2013). Knowing the importance of the previous step involved in the indication of a cultivar for commercial launch, analysis of adaptability and stability, through different methodologies, should be explored extensively by breeders (Maia et al, 2014). The present work had as its objective to study the adaptability and stability of grain yield of soybean breeding lines and cultivars in different environments, using different adaptability and stability methodologies.…”

Section: Introductionmentioning

confidence: 99%

Adaptability and stability of grain yield in soybean

Silveira¹,

Bahry²,

Pricinotto³

et al. 2018

Aust J Crop Sci

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The aim of this work was to analyze the adaptability and stability of soybean grain yield in fifteen environments in Paraná through different methodologies. Trials were conducted to test the genotypes SYN 1049; SYN 1152; SYN 1059; SYN 3358; SYN 1163; and, SYN 1157, at five sites with three different sowing times in 2011/2012 season. The analyzed character was grain yield per hectare. The analysis of adaptability and stability was performed by bissegmented regression, factors analysis and AMMI analysis. The estimates of the environmental indices by the tested analyses were partially concordant regarding the classification of the environments as favourable or unfavourable to the cultivars. Both the factor analysis and the AMMI analysis allowed the classification of the cultivars in relation to the specific environmental conditions. The soybean cultivars SYN 1059 and SYN 1163 revealed specific adaptability for the three analysis methodologies. Stability was also revealed through the bissegmented regression and the IPCA1 vs. mean methods.

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Section: Introductionmentioning

confidence: 99%

Adaptability and stability of grain yield in soybean

Silveira¹,

Bahry²,

Pricinotto³

et al. 2018

Aust J Crop Sci

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A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics

Kirch,

Spitti,

Chiorato

et al. 2024

Journal of Computational and Graphical Statistics

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Multi-information analysis for recommendation of flooded-irrigated rice for adaptability and phenotypic stability

Júnior¹,

Silva²,

Costa³

et al. 2021

ASB J.

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The GxE interaction is one of the major difficulties of plant breeding programs, both in the selection phase and in the recommendation of cultivars. To assess adaptability and stability, various statistical methods are used. The simultaneous use of some methodologies, using multi-information criteria for cultivar’s recommendation, can extract information that cannot be observed using each methodology separately. The aim of this work was to perform a large description of the behavior of flooded-irrigated rice genotypes, responding to environmental variations, using methods already established in the literature, but exploring the particularities of each methodology that together establish an information criterion for cultivar recommendation. To this end, 18 rice genotypes belonging to flood-irrigated rice breeding program were evaluated over four agricultural years, 2012/2013 to 2015/2016, totaling 12 environments (3 sites × 4 years). Multi-information estimates were performed to adaptability and stability analysis. There was no sign for the effect of the genotypes, and there was the significance of the effects of environment and GxE interaction. The aggregation of information and the large description of the behavior of the flooded rice genotypes demonstrated to be an efficient tool for studies of adaptability and stability.

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Interação genótipo-ambiente em soja via análise de componentes principais com múltiplas matrizes de dados.

Cited by 3 publications

References 12 publications

Adaptability and stability of grain yield in soybean

Adaptability and stability of grain yield in soybean

A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics

Multi-information analysis for recommendation of flooded-irrigated rice for adaptability and phenotypic stability

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