Caracterização de genótipos de soja-hortaliça por análise de componentes principais

Tobar-Tosse, Dora Enith; Castoldi, Renata; Candido, Willame dos Santos; Ferraudo, Antônio Sérgio; Charlo, Hamilton César de Oliveira; Braz, Leila Trevisan

doi:10.1590/0103-8478cr20140597

Cited by 14 publications

(16 citation statements)

References 12 publications

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“…Again, the interval between male and female flowering had a high positive loading in the first principal component, followed by the number of rows per ear, number of grains per ear and ear weight, with a positive loading in the second component. The analysis of each principal component allowed observing that the characteristics with eigenvectors of the same sign (Table 4) act in a direct way, i.e., when the value of one increases, the value of the other also increases, and those with opposite signs are negatively correlated (Tobar-Tosse et al 2015). Thus, the interval between male and female flowering acts directly and inversely to grain yield, in both water regimes.…”

Section: Resultsmentioning

confidence: 98%

“…Therefore, choosing a given characteristic over another may not be efficient for a breeding program. According to Tobar-Tosse et al (2015), in order to obtain superior genotypes, it is necessary to evaluate a set of characteristics that combine the multiple information contained in the experimental unit.…”

Section: Identificação De Genótipos De Milho Para Tolerância à Seca Pmentioning

confidence: 99%

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Identification of drought-tolerant corn genotypes by multivariate analysis1

Sousa

Bastos

Cardoso

et al. 2018

Pesqui. Agropecu. Trop.

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The identification of genotypes that are tolerant to water deficit is crucial for the maintenance of the agricultural production. This study aimed to evaluate the genotypic variation for drought tolerance among corn genotypes by means of multivariate analysis, as well as to identify hybrids with high grain yield under conditions of water deficit and full irrigation. For this purpose, an experiment was conducted in a randomized block design, with 36 corn hybrids, being 34 experimental elite and two commercial (controls) hybrids, under water deficit and full irrigation, during the reproductive stage, with four replications. The irrigation levels, added to the rainfall, totaled 691.6 mm under full irrigation and 490.8 mm under water deficit. The evaluation encompassed the leaf area index, leaf chlorophyll content, interval between male and female flowering, number of rows per ear, number of grains per ear, ear length, 100-grain weight, ear yield, ear index, total number of grains, number of ears per m2, grain yield at 13 % of moisture and water-use efficiency. The evaluated hybrids showed useful genetic diversity for drought tolerance. Four experimental elite hybrids (3G7395, 3G7415, 1G7034 and 3G7335) stood out under water deficit, showing a high grain yield performance, if compared to the average of the control hybrids.

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Section: Resultsmentioning

confidence: 98%

Section: Identificação De Genótipos De Milho Para Tolerância à Seca Pmentioning

confidence: 99%

Identification of drought-tolerant corn genotypes by multivariate analysis1

Sousa

Bastos

Cardoso

et al. 2018

Pesqui. Agropecu. Trop.

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“…The Biplot technique can also be used to compare genotypes in the multiple observed traits and to identify responsive genotypes that may be used as potential parents in Sunflower breeding programs. Accordingly, the positive correlations are responsible for the discrimination of genotypes located at the right side of PC1; and for the negative correlation discriminating the genotype at the left side of PC1 (Tobar-Tosse et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

Yield potential of different sunflower genetic classes: A multivariate approach

Santos¹,

Sant’Anna²,

Rocha³

2019

Emir J Food Agric

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Breeding programs aim at obtaining superior genotypes. The multivariate analysis allows simultaneously assessing a large number of variables and interesting genotypes. The objective of the present study is to assess the yield potential of different sunflower genetic classes. A randomized block design, with four repetitions, and eight sunflower genotypes was used in the current experiment. Principal component analyses were performed for the variables plant height, lower stem diameter, upper stem diameter, chapter diameter, chapter weigh, achene weight and grouping. The method by UPGMA (Unweighted Pair Group Using an Arithmetic Average) was used to assess the oil content. The upper stem diameter, lower stem diameter and plant height variables showed high positive correlation, as well as chapter diameter, chapter weight and plant height. Variables lower stem diameter and achene weight were not correlated. Genotypes Olisun-3 and Aguará-4 showed potential for the selection of the chapter diameter, chapter weight and achene weight variables; the hybrids Charrua e Olisun-5 was adopted for upper stem diameter, plant height and lower stem diameter character selections. The open-cross varieties presented higher oil content percentage.

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“…Na tentativa de reduzir a dimensionalidade dos dados, é possível utilizar novas variáveis denominadas de componentes principais que permitem fazer avaliações tomando como base determinado componente que reúne múltiplas informações (TOBAR-TOSSE et al, 2015). Assim, a partir deste agrupamento é possível realizar a avaliação/seleção simultânea tomando como base os componentes principais e os escores de cada indivíduo (ou município, no caso do presente estudo) em cada componente.…”

Section: Discussionunclassified

“…Carvalho, E. V. de et al ISSN eletrônico 1982 No entanto, essa rapidez de geração de resultados está associada a um grande volume de informações disponíveis que dificultam a interpretação dos mesmos. Assim, a aplicação de métodos que reduzem a dimensionalidade dos dados sem perdas na variabilidade, como a análise de componentes principais (TOBAR-TOSSE et al, 2015), torna-se interessante para caracterização dos resultados obtidos.…”

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Caracterização De Áreas Queimadas No Estado Do Tocantins No Ano De 2014

Carvalho

Batista

Coelho

et al. 2017

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ResumoO objetivo desta pesquisa foi caracterizar áreas queimadas no Tocantins, no ano de 2014, por meio de análise exploratória e de componentes principais, com uso de imagens de satélite dos meses de julho a outubro. Foram utilizadas bandas captadas por sensores do satélite Landsat-8: infravermelho médio (1,57-1,65 µm), infravermelho próximo (0,85-0,88 µm) e vermelho (0,64-0,67 µm), na composição RGB, com resolução espacial de 30 m. Foi realizado o processamento e interpretação visual das imagens para vetorização das áreas queimadas, que foi cruzada com bases de dados (precipitação média anual, pedologia, temperatura média anual, bacia hidrográfica, declividade, áreas protegidas, uso da terra e limites municipais), disponibilizadas pela Secretaria de Planejamento e Orçamento do Tocantins, e dados territoriais e socioeconômicos dos municípios tocantinenses. Estes últimos foram utilizados na análise de Componentes Principais (CP) que extraiu cinco CP que explicam 81,74% da variância dos dados. Esta análise indicou que a área queimada apresentou maior relação positiva com a área do município, quantidade de focos de calor, área de pastagens naturais e florestas. Pelas análises espaciais, nos locais de maior ocorrência de queimadas (regiões do Jalapão e da Ilha do Bananal), bem como no estado todo, a ocorrência de queimadas não pôde ser considerada aleatória. Foi possível concluir que além das condições ambientais intrínsecas do Cerrado, municípios com maiores áreas queimadas estiveram associados com maior Produto Interno Bruto (PIB) da agropecuária e menor PIB de serviços e indústria e menor número de habitantes. Palavras-chave: Cerrado; distribuição espacial; fogo; imagens Landsat. AbstractCharacterization of wildfires in Tocantins State on 2014 season. This aim of this research was to characterize the burned areas in the Tocantins, 2014 season, by the exploratory and principal component analysis, with use of satellite images between July and October. They were used the bands of sensors of Landsat-8 satellite: shortwave infrared (1.57-1.65 µm), near infrared (0.85-0.88 µm) and red (0.64-0.67 µm), in the RGB composition, with a spatial resolution of 30 meters. It was conducted the processing and visual interpretation of the images, for the vectorization of the burned area. These data were crossed with seven databases (annual average precipitation, pedology, annual average temperature, watershed, slope, protected area, land use and municipal boundaries), available on Secretaria de Planejamento e Orçamento do Tocantins, and with the territory and socioeconomic data of the Tocantins cities. These last data were used in principal component analysis (PCA) that were extracted five PC (data variance explained was 81.74%). These analyses revealed that burned area had shown highest positive relationship with city area, number of heat spots, natural pasture and forest areas. By the spatial analysis the burned area occurrence, in the Tocantins State (include regions with highest burned area, as Jalapão e Bannal island), canno...

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Caracterização de genótipos de soja-hortaliça por análise de componentes principais

Cited by 14 publications

References 12 publications

Identification of drought-tolerant corn genotypes by multivariate analysis1

Identification of drought-tolerant corn genotypes by multivariate analysis1

Yield potential of different sunflower genetic classes: A multivariate approach

Caracterização De Áreas Queimadas No Estado Do Tocantins No Ano De 2014

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