RFLP analysis of soybean seed protein and oil content

Diers, B. W.; Keim, Paul; Fehr, W. R.; Shoemaker, Randy C.

doi:10.1007/bf00226905

Cited by 300 publications

(269 citation statements)

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“…Protein, oil, and seed size are quantitative traits controlled by multiple genes having small or large effects. There have been many studies that have used molecular markers to map quantitative trait loci (QTL), the regions of the chromosome responsible for quantitative traits such as protein, oil, and seed size (Diers et al 1992;Sebolt et al 2000;Csanadi et al 2001). Previous studies have utilized QTL mapping populations with large parental differences for the trait under study.…”

Section: Introductionmentioning

confidence: 99%

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Seed quality QTL in a prominent soybean population

et al. 2004

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Soybean [Glycine max (L.) Merr.] is a versatile crop due to its multitude of uses as a high protein meal and vegetable oil. Soybean seed traits such as seed protein and oil concentration and seed size are important quantitative traits. The objective of this study was to identify representative protein, oil, and seed size quantitative trait loci (QTL) in soybean. A recombinant inbred line (RIL) population consisting of 131 F6-derived lines was created from two prominent ancestors of North American soybeans ('Essex' and 'Williams') and the RILs were grown in six environments. One hundred simple sequence repeat (SSR) markers spaced throughout the genome were mapped in this population. There were a total of four protein, six oil, and seven seed size QTL found in this population. The QTL found in this study may assist breeders in marker-assisted selection (MAS) to retain current positive QTL in modern soybeans while simultaneously pyramiding additional QTL from new germplasm.

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Section: Introductionmentioning

confidence: 99%

“…and Zucc. ) as one of the parents in order to find new QTL not present in common cultivars, which can then be used to enhance current lines for the trait (Sebolt et al 2000;Diers et al 1992).…”

Section: Introductionmentioning

confidence: 99%

Seed quality QTL in a prominent soybean population

et al. 2004

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“…Keim et al (1990) utilized restriction fragment length polymorphisms (RFLPs) to identify several major quantitative trait loci (QTLs) in soybean influencing hard seededness in an interspecific soybean population. Diers et al (1992) used the same interspecific soybean population to identify several molecular marker loci that were significantly associated with QTLs for seed protein and oil. Other workers utilized molecular markers to identify several genomic regions significantly associated with seed protein, oil, seed weight and sucrose content in different intraspecific soybean populations (Mansure et al, 1993;Lee et al, 1996;Mian et al, 1996;Maughan et al, 1996;Brummer et al, 1997).…”

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Identification of SSR markers associated with seed coat permeability and electrolyte leaching in soybean

Singh

Raipuria

Bhatia

et al. 2008

Physiol Mol Biol Plants

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Seed coat permeability and electrolyte leaching are the important traits that have been negatively associated with seed longevity in soybean. The objective of this study was to use SSR markers to identify genomic regions significantly associated with QTLs controlling seed coat permeability and electrolyte leaching in a segregating F 2 population derived from a cross of Birsa soya-1 x JS 71-05. Parental polymorphism survey using 145 SSR markers identified 21 polymorphic ones, which were used to genotype 153 F 2 individuals. Four independent markers (Satt434, Satt538, Satt281 and Satt598) were significantly (P=0.05) associated with seed coat permeability. One of these markers (Satt 281) also showed significant association with electrolyte leaching that partly supported the observed positive correlation (r = 0.425) between the two traits. Markers for seed coat permeability individually explained 3.9% to 4.5% of the total phenotypic variation, while the marker linked with electrolyte leaching explained 5

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“…É possível que estes valores tenham sido superestimados em razão do uso de populações reduzidas. Diers et al (1992) e Lee et al (1996), também com número reduzido de progênies -de 60 a 120, respectivamente -mapearam QTL que explicaram até 43% da variação no teor de proteína.…”

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

Rodrigues

Arruda

Cruz

et al. 2013

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar a associação de marcadores microssatélites localizados próximos a locos de caracteres quantitativos (QTL) descritos na literatura, com os teores de óleo e proteína de genótipos de soja cultivados no Brasil. Quarenta e nove genótipos de soja foram avaliados em Viçosa, MG (12/2009); Visconde do Rio Branco, MG (2/2010); e São Gotardo, MG (2/2010 e 10/2011). Utilizou-se o delineamento de blocos ao acaso, com três repetições. Os teores de óleo e proteína foram determinados por espectrometria do infravermelho. Foi observada ampla variabilidade genética para esses teores. Dos 65 marcadores microssatélites testados, 35 apresentaram associação significativa com pelo menos um dos teores, mas poucos foram consistentes com a mudança de ambiente. Ao se levar em conta a consistência da associação em todos os ambientes, os marcadores Satt239, Satt384 e Satt562 destacam-se para a seleção assistida quanto aos teores de óleo e de proteína, enquanto o Satt310 destaca-se para seleção quanto ao teor de óleo, e o Satt567, quanto ao de proteína.Termos para indexação: Glycine max, melhoramento, QTL, seleção assistida. Association of microsatellite markers with contents of oil and protein in soybeanAbstract -The objective of this work was to evaluate the association of microsatellite markers located close to quantitative trait loci (QTL) described in the literature, with contents of oil and protein soybean genotypes cultivated in Brazil. Forty-nine soybean genotypes were evaluated in Viçosa, MG (12/2009), Visconde do Rio Branco, MG (2/2010), and São Gotardo, MG (2/2010 and 10/2011). A randomized complete block design, with three replicates, was used. The oil and protein contents were determined by infrared spectroscopy. A high genetic variability was observed for oil and protein contents. Among the 65 tested microsatellite markers, 35 showed significant association with at least one of these contents, but few of them were consistent with the change of environment. Considering the consistency of the association in all environments, the markers Satt239, Satt384, and Satt562 stand out for assisted selection as to oil and protein contents, whereas Satt310 stands out for the selection as to oil content, and Satt567, as to protein content.Index terms: Glycine max, breeding, QTL, assisted selection. IntroduçãoPor se tratarem de caracteres quantitativos, os teores de óleo e proteína têm controle genético complexo. Além disso, há relatos da existência de interações genótipo x ambiente para estas características (Marquez, 2010). Assim, a variedade de locos envolvidos na expressão fenotípica e a influência ambiental sobre os caracteres são fatores que dificultam o melhoramento.Em soja, há correlação negativa entre os teores de óleo e proteína e, frequentemente, entre o teor de proteína e a produtividade. Por sua vez, a relação entre o teor de óleo e a produtividade é positiva, o que torna possível manter a produtividade quando se pratica a seleção para alto teor de óleo. No entanto, o aumento no potenc...

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RFLP analysis of soybean seed protein and oil content

Cited by 300 publications

References 10 publications

Seed quality QTL in a prominent soybean population

Seed quality QTL in a prominent soybean population

Identification of SSR markers associated with seed coat permeability and electrolyte leaching in soybean

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

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