Associação de marcadores microssatélites com teores de óleo e proteína em soja

Rodrigues, Josiane Isabela da Silva; Arruda, Klever Márcio Antunes; Cruz, Cosme Damião; Piovesan, Newton Deniz; Barros, Everaldo Gonçalves de; Moreira, Maurílio Alves

doi:10.1590/s0100-204x2013000300003

Cited by 14 publications

(9 citation statements)

References 22 publications

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“…However, the selection of superior progeny is no easy task, since characteristics of importance, the majority of which are quantitative, show complex behaviour, being influenced by the environment and interrelated in such a way that the selection or alteration of one causes a series of changes in another (RODRIGUES et al, 2013;SILVA et al, 2009;VASCONCELOS et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Multivariate approach in the selection of superior soybean progeny which carry the RR gene

Dallastra¹,

Unêda-Trevisoli²,

Ferraudo³

et al. 2014

Rev. Ciênc. Agron.

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-Efficiency in the use of genetic variability, whether existing or created, increases when properly explored and analysed. Incorporation of biotechnology into breeding programs has been the general practice. The challenge for the researcher is the constant development of new and improved cultivars. The aim of this experiment was to select progenies with superior characteristics, whether or not carriers of the RR gene, derived from bi-parental crosses in the soybean, with the help of multivariate techniques. The experiment was carried out in a family-type experimental design, including controls, during the agricultural year 2010/2011 and 2011/2012 in Jaboticabal in the Brazilian State of São Paulo. From the F 3 generation, phenotypically superior plants were selected, which were evaluated for the following traits: number of days to flowering; number of days to maturity; height of first pod insertion; plant height at maturity; lodging; agronomic value; number of branches; number of pods per plant; 100-seed weight; number of seeds per plant; grain yield per plant. Given the results, it appears possible to select superior progeny by principal component analysis. Cluster analysis using the K-means method links progeny according to the most important characteristics in each group and identifies, by the Ward method and by means of a dendrogram, the structure of similarity and divergence between selected progeny. Both methods are effective in aiding progeny selection.

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Section: Introductionmentioning

confidence: 99%

Multivariate approach in the selection of superior soybean progeny which carry the RR gene

Dallastra¹,

Unêda-Trevisoli²,

Ferraudo³

et al. 2014

Rev. Ciênc. Agron.

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“…The population average seems related to averages of parents, while genetic variance seems related to genetic diversity (Rodrigues et al, 2013). Hughes et al (2008) consider the diversity and/or genetic distance as a measure of genetic variability.…”

Section: Resultsmentioning

confidence: 99%

“…Using the estimates of the complement of the weighted similarity index, the genotypes were grouped by the clustering methods UPGMA, Tocher and modified Tocher (Vasconcelos et al, 2007), and the two and three-dimensional projections were obtained. The estimates of the complement of the weighted similarity index based on the thirty-three microsatellite markers were compared to the estimates obtained by the same index with only microsatellites of linkage group I, the most related with oil content in the literature (Rodrigues et al, 2010;Li et al, 2011, Qi et al, 2011, Rodrigues et al, 2013Leite et al, 2016), where the distances in both cases were compared. All analyses were performed with the program Genes (Cruz, 2013).…”

Section: Analysis Of Genetic Diversitymentioning

confidence: 99%

Selection of progenitors for increase in oil content in soybean

et al. 2016

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RESUMOThe low genetic diversity brings limitation to breeding, because genetically similar genotypes share alleles in common, causing little complementarity and low vigor due to the low levels of heterozygosity in crosses. The objective of this work was to analyze the oil content and genetic diversity of soybean genotypes (Glycine max (L.) Merrill) based on QTL regions of this trait for choice of progenitors for increase in oil content. Twenty-two genotypes with wide variation in oil content, including cultivars with high oil contents, were cultivated in different Brazilian conditions and the oil content of the grains was quantified by infrared spectrometry. Microsatellite markers selected based on QTL regions for oil content in soybean were analyzed to estimate the genetic diversity. In these studies, a wide variation in oil content (17.28-23.01%) and a reasonable diversity among the genotypes were observed, being PI181544 the most divergent genotype, followed by Suprema. The genotypes PI371610/Suprema and Suprema/CD01RR8384 showed genetic distance and higher oil contents in the grains, while the cultivars Suprema and CD01RR8384 had the highest oil contents and proved to be little genetically related. These genotypes are promising progenitors for selection of high oil content in soybean. Seleção de progenitores para aumento no teor de óleo em sojaA baixa diversidade genética traz limitação ao melhoramento de plantas, pois genótipos semelhantes compartilham alelos em comum causando pouca complementaridade e baixo vigor , devido aos baixos níveis de heterozigosidade obtidos nos cruzamentos .Objetivou-se, com este trabalho, analisar o teor de óleo e a diversidade genética de genótipos de soja com base em regiões de QTL desta característica para a escolha de progenitores visando ao aumento no teor de óleo em soja. Vinte e dois genótipos com ampla variação no teor de óleo incluindo cultivares com altos teores foram cultivados em diferentes condições brasileiras e o teor de óleo nos grãos foi quantificado por espectrometria do infravermelho. Para estimar a diversidade genética foram analisados marcadores microssatélites selecionados com base em regiões de QTL para o teor de óleo em soja. Nestes estudos observou-se ampla variação quanto ao teor de óleo nos grãos e razoável diversidade genética entre os genótipos, sendo a PI181544 a mais divergente, seguida por Suprema. Os genótipos PI371610/Suprema e Suprema/CD01RR8384 mostraram distância genética e maiores teores de óleo nos grãos. Já as cultivares Suprema e CD01RR8384 tiveram os mais altos teores de óleo e se mostraram pouco relacionadas geneticamente. Estes genótipos são progenitores promissores para a seleção de alto teor de óleo em soja.Palavras chave: Glycine max; genótipos; variabilidade genética. 662Josiane Isabela da Silva Rodrigues et al.

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“…However, in group II, 41 associations were observed for the oil content whereas 38 were found for the protein content. Generally, 13 markers were associated with both the characteristics; Sat239, Satt384, and Satt562 were significant for the assisted selection for the oil and protein content, whereas Satt310 was specific for the selection of oil content and Satt567 for the protein content as assessed by their respective magnitudes under different growth environments (Rodrigues et al, 2013).…”

Section: Discussionmentioning

confidence: 98%

QTL mapping of soybean oil content for marker-assisted selection in plant breeding program

et al. 2016

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ABSTRACT. The present study was undertaken to detect and map the quantitative trait loci (QTL) related to soybean oil content. We used 244 progenies derived from a bi-parental cross of the Lineage 69 (from Universidade Estadual Paulista "Júlio de Mesquita Filho"/Faculdade de Ciências Agrárias e Veterinárias -Breeding Program) and Tucunaré cultivar. A total of 358 simple sequence repeat (SSR; microsatellite) markers were used to investigate the polymorphism between the parental lines, and for the polymorphic lines all the F 2 individuals were tested. Evaluation of the oil content and phenotype was performed with the aid of a Tango equipment by near infra-red reflectance spectroscopy, using single F 2 seeds and F 2:3 progenies, in triplicate. The data were analyzed by QTL Cartographer program for 56 SSR polymorphic markers. Two oil-content related QTLs were detected on K and H linkage groups. The total phenotypic variation explained by QTLs ranged from 7.8 to 46.75% for oil content. New QTLs were identified for the oil content in addition to those previously identified in other studies. The results reported in this study show that regions different from those already known could be involved in the genetic control of soybean oil content.

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Associação de marcadores microssatélites com teores de óleo e proteína em soja

Cited by 14 publications

References 22 publications

Multivariate approach in the selection of superior soybean progeny which carry the RR gene

Multivariate approach in the selection of superior soybean progeny which carry the RR gene

Selection of progenitors for increase in oil content in soybean

QTL mapping of soybean oil content for marker-assisted selection in plant breeding program

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