Características fenológicas, agronômicas e tecnológicas da fibra em diferentes cultivares de algodoeiro herbáceo

Araújo, Laíse Ferreira de; Bertini, Cândida Hermínia Campos de Magalhães; Bleicher, Ervino; Neto, Francisco das Chagas Vidal; Almeida, Wener Santos de

doi:10.5039/agraria.v8i3a2732

Cited by 13 publications

(16 citation statements)

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“…A MF média obtida foi de 83%, apensar de os genótipos não terem apresentados variabilidade para essa característica, a linhagem UFUJP13-12 apresentou a maior média (85%) e mesmo com valores que atendem exigências da indústria têxtil, esses ficaram abaixo dos encontrados por Araújo (2013), que obteve média de 90%.…”

Section: Resultsunclassified

“…Araújo et al (2013) ao avaliarem a fenologia, características agronômicas e tecnológicas da fibra de cultivares de algodoeiro herbáceo, a fim de identificar e selecionar cultivares mais promissoras para o plantio no semiárido nordestino obtiveram UC média de 85,67 %, acima da média obtida nesse trabalho (83,17%). A UC é uma característica influenciada pelo genótipo e ambiente.…”

Section: Resultsunclassified

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Variabilidade genética e coeficiente de determinação em genótipos de algodoeiro quanto a qualidade da fibra

2015

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Resumo: O algodão é a mais importante fibra têxtil do mundo e a sua qualidade é o que garante o retorno investido pelo produtor. O trabalho teve como objetivo avaliar a variabilidade genética entre 22 genótipos de algodoeiro de fibra branca do Programa de Melhoramento Genético do Algodoeiro, da Universidade Federal de Uberlândia, quanto a qualidade da fibra e determinar o coeficiente de determinação genotípico dos caracteres. O experimento foi realizado na fazenda Capim Branco, em Uberlândia-MG, na safra 2012/2013. O delineamento experimental foi de blocos casualizados com três repetições. Avaliou-se 20 genótipos de algodoeiro. Com o auxílio do aparelho High Volume Instrument, determinou-se o índice de consistência a fiação, índice micronaire, maturidade da fibra, comprimento da fibra, uniformidade de comprimento, índice de fibras curtas, resistência, alongamento, reflectância e grau de amarelecimento. As linhagens do Programa de Melhoramento genético do Algodoeiro da Universidade Federal de Uberlândia, com exceção da UFUJP13-17 e UFUJP13-20, atendem as exigências da indústria têxtil e apresentam variabilidade suficiente para seguir no processo de melhoramento. A variação entre os genótipos foi em maior parte de natureza genética, com coeficiente de determinação acima de 80%. Palavras-chaves:Gossypium hirsutum, características intrínsecas da fibra, melhoramento genético. Abstract:Cotton is the most important textile fiber in the world and its quality is what ensures the return invested by the producer. The objective of this work was to evaluate the genetic variability among 22 genotypes of cotton fiber white of the Program of Genetic Improvement of Cotton, from the Federal University of Uberlandia, as fiber quality and determine the coefficient of determination of genotypic characters. The experiment was carried out on the farm Capim Branco, in Uberlandia, MG, in season 2012/2013. The experimental design was a randomized complete block with three replications. Evaluated 20 cotton genotypes. With the aid of the appliance High Volume Instrument, it was determined that the index of consistency the wiring, index micronaire, fiber maturity, fiber length, length uniformity index of short fibers, strength, elongation, reflectance and degree of yellowing. The lines of the Program of genetic improvement of cotton from the Federal University of Uberlandia, with the exception of UFUJP13-17 and UFUJP13-20, meet the requirements of the textile industry and feature variability sufficient to follow in the process of improvement. The variation between the genotypes was in most of nature genetics, with coefficient of determination above 80 %. Palavras-chaves:Gossypium hirsutum, intrinsic characteristics of fiber, genetic improvement.

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Section: Resultsunclassified

Variabilidade genética e coeficiente de determinação em genótipos de algodoeiro quanto a qualidade da fibra

2015

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“…CTS = conventional tillage system, NTS = no-till system. Araújo et al (2013) reaffirmed the importance of selecting appropriate cultivars to regional conditions. They assessed the phenology of herbaceous cotton cultivars (BRS-Cedro, BRS-Itaúba, BRS-Araçá, BRS-Ipê-Cerrado and BRS-Seridó) in an experiment conducted in 2010 (April to August) in the semi-arid region of the Brazilian Northeast and the cultivars BRS-Seridó and BRS-Araripe, which are recommended for this region, presented the best results for the characteristics evaluated.…”

Section: Resultsmentioning

confidence: 94%

“…According to Araújo et al (2013), the good development of plants depends on the cultivar choice and its adaptation to different edaphoclimatic conditions and cultural and management practices.…”

Section: Introductionmentioning

confidence: 99%

Potassium Fertilization and Soil Management Systems for Cotton Crops

et al. 2017

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-Cotton has great socio-economic importance due to its use in textile industry, edible oil and biodiesel production and animal feed. Thus, the objective of this work was to identify the best potassium rate and soil management for cotton crops and select among cultivars, the one that better develops in the climatic conditions of the Cerrado biome in the State of Goiás, Brazil. Thus, the effect of five potassium rates (100, 150, 200, 250 and 300 kg ha -1 of K 2 O) and two soil management systems (no-till and conventional tillage) on the growth, development and reproduction of four cotton cultivars was evaluated. The data on cotton growth and development were subjected to analysis of variance; the data on potassium rates were subjected to regression analysis; and the data on cultivars and soil management to mean test. The correlation between the vegetative and reproductive variables was also assessed. The conventional tillage system provides the best results for the herbaceous cotton, regardless of the others factors evaluated. The cultivar BRS-286 has the best results in the conditions evaluated. The cultivar BRS-371 under no-till system present the highest number of fruiting branches at a potassium rate of 105.5% and highest number of floral buds at a potassium rate of 96.16%. The specific leaf area was positively correlated with the number of bolls per plant at 120 days after emergence of the herbaceous cotton.Keywords: Gossypium hirsutum L. KCl. No-till. Conventional tillage. Boll production.ADUBAÇÃO POTÁSSICA E SISTEMA DE MANEJO DO SOLO NA CULTURA DO ALGODÃO RESUMO -O algodão possui grande importância social e econômica, devido a sua utilização na indústria têxtil, produção de óleo comestível, biodiesel e alimentação animal, dessa forma é de grande importância selecionar a cultivar que apresenta o melhor desempenho nas condições climáticas do Cerrado goiano e estudar seu comportamento em função de doses de potássio pelas inúmeras funções na planta e ainda identificar o manejo do solo que proporcione as melhores condições visando um maior desempenho da cultura. Dessa forma, objetivou-se com o experimento, avaliar cinco doses de potássio (100; 150; 200; 250; 300 kg ha -1 de K 2 O), dois sistemas de manejo do solo (plantio direto e plantio convencional) no crescimento, desenvolvimento e reprodução de quatro cultivares de algodão . Os dados de crescimento e desenvolvimento do algodoeiro foram submetidos à análise de variância e para os dados referentes às doses de potássio, realizou-se análise de regressão, e referentes às cultivares e sistemas de manejo do solo teste de média, ainda avaliou-se a correlação entre as variáveis vegetativas e reprodutivas analisadas. O sistema de plantio convencional proporciona melhores respostas ao algodoeiro herbáceo independentemente dos demais fatores avaliados. A cultivar BRS-286 apresenta melhor resposta nas condições avaliadas. A cultivar BRS-371 no sistema de plantio direto apresenta maior número de ramo frutífero na dose de potássio de 105,5% e botão floral na d...

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“…Thus, the cotton genetic breeding programs aim specially fiber quality, as well as, the cotton lint development (Morello and Freire, 2005;De Araújo et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Research Article Cotton genotypes selection through artificial neural networks.

Gonçalves¹,

Cardoso²,

Reis³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. Breeding programs currently use statistical analysis to assist in the identification of superior genotypes at various stages of a cultivar's development. Differently from these analyses, the computational intelligence approach has been little explored in genetic improvement of cotton. Thus, this study was carried out with the objective of presenting the use of artificial neural networks as auxiliary tools in the improvement of the cotton to improve fiber quality. To demonstrate the applicability of this approach, this research was carried out using the evaluation data of 40 genotypes. In order to classify the genotypes for fiber quality, the artificial neural networks were trained with replicate data of 20 genotypes of cotton evaluated in the harvests of 2013/14 and 2014/15, regarding fiber length, uniformity of length, fiber strength, micronaire index, elongation, short fiber index, maturity index, reflectance degree, and fiber quality index. This quality index 2 E.G. Silva Júnior et al. Genetics and Molecular Research 16 (3): gmr16039798was estimated by means of a weighted average on the determined score (1 to 5) of each characteristic of the HVI evaluated, according to its industry standards. The artificial neural networks presented a high capacity of correct classification of the 20 selected genotypes based on the fiber quality index, so that when using fiber length associated with the short fiber index, fiber maturation, and micronaire index, the artificial neural networks presented better results than using only fiber length and previous associations. It was also observed that to submit data of means of new genotypes to the neural networks trained with data of repetition, provides better results of classification of the genotypes. When observing the results obtained in the present study, it was verified that the artificial neural networks present great potential to be used in the different stages of a genetic improvement program of the cotton, aiming at the improvement of the fiber quality of the future cultivars.

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Características fenológicas, agronômicas e tecnológicas da fibra em diferentes cultivares de algodoeiro herbáceo

Cited by 13 publications

References 3 publications

Variabilidade genética e coeficiente de determinação em genótipos de algodoeiro quanto a qualidade da fibra

Variabilidade genética e coeficiente de determinação em genótipos de algodoeiro quanto a qualidade da fibra

Potassium Fertilization and Soil Management Systems for Cotton Crops

Research Article Cotton genotypes selection through artificial neural networks.

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