Genetics of Soybean Agronomic Traits: I. Comparison of Three Related Recombinant Inbred Populations

Orf, J. H.; Chase, Kevin; Jarvik, T.; Mansur, L. M.; Cregan, Perry B.; Adler, Fred; Lark, Karl G.

doi:10.2135/cropsci1999.3961642x

Cited by 311 publications

(262 citation statements)

References 12 publications

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“…Moreover, qSW19a-1 was shown to be associated with 100-seed weight, and is also mapped on Chr19 near this interval. Orf et al reported a fine-mapped, 100-seed weight QTL located on Chr15, which just overlapped the intervals of the QTL for SW detected in both years in the present study [40]. …”

Section: Discussionsupporting

confidence: 72%

Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing

Liu

et al. 2017

BMC Genomics

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BackgroundOne of the overarching goals of soybean breeding is to develop lines that combine increased yield with improved quality characteristics. High-density-marker QTL mapping can serve as an effective strategy to identify novel genomic information to facilitate crop improvement. In this study, we genotyped a recombinant inbred line (RIL) population (Zhonghuang 24 × Huaxia 3) using a restriction-site associated DNA sequencing (RAD-seq) approach. A high-density soybean genetic map was constructed and used to identify several QTLs that were shown to influence six yield-related and two quality traits.ResultsA total of 47,472 single-nucleotide polymorphisms (SNPs) were detected for the RILs that were integrated into 2639 recombination bin units, with an average distance of 1.00 cM between adjacent markers. Forty seven QTLs for yield-related traits and 13 QTLs for grain quality traits were found to be distributed on 16 chromosomes in the 2 year studies. Among them, 18 QTLs were stable, and were identified in both analyses. Twenty six QTLs were identified for the first time, with a single QTL (qNN19a) in a 56 kb region explaining 32.56% of phenotypic variation, and an additional 10 of these were novel, stable QTLs. Moreover, 8 QTL hotpots on four different chromosomes were identified for the correlated traits.ConclusionsWith RAD-sequencing, some novel QTLs and important QTL clusters for both yield-related and quality traits were identified based on a new, high-density bin linkage map. Three predicted genes were selected as candidates that likely have a direct or indirect influence on both yield and quality in soybean. Our findings will be helpful for understanding common genetic control mechanisms of co-localized traits and to select cultivars for further analysis to predictably modulate soybean yield and quality simultaneously.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-017-3854-8) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 72%

Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing

Liu

et al. 2017

BMC Genomics

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“…The mixed major gene plus polygene hypothesis of plant quantitative traits proposed by Gai et al (2003) has been used in the analyses of heterosis in several crops (Ma et al, 1983;Orf et al, 1999;Yang and Gai, 2009;Ni et al, 2011). Based on the major locus group analyses, the genetic structures and genetic effects of various major locus groups of different parents were demonstrated.…”

Section: Discussionmentioning

confidence: 99%

Genetic analyses of the major and minor locus groups of bacterial wilt resistance in tobacco using a diallel cross design

Yl¹,

J²,

Jj³

et al. 2016

Genet. Mol. Res.

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ABSTRACT. Tobacco germplasm samples with various levels of resistance to bacterial wilt were selected to construct F 1 combinations of parental inbred lines and orthogonal diallel crosses using samples collected in 2009 (15 germplasms), 2010 (15 germplasms), and 2011 (16 germplasms). A total of 1/2P (P + 1) experimental materials were used for analysis. Based on the analyses of major and minor locus groups, genetic effects on the incidence rate and index of bacterial wilt in tobacco were investigated on the 15th and 25th day during the early stage. Significant effects were observed in major locus groups, but not in minor locus groups. Specifically, adjacent major locus groups (J1 = 13,056 and J1 = 13,055; J1 = 14,080 and J1 = 14,079) were detected in both the first and second analyses with considerable effects. Based on the additive effects of minor locus groups on the rate and index of bacterial wilt, the effects on the incidence rates of Yunyan 85, DB101, and RG11 as well as the effects on the disease index of the latter two germplasms reached the maximum. This was consistent with the disease resistance indicators of these tobacco varieties in the field (corresponding broad heritability >20%). Genetic homozygous dominant loci (+ +) increased the rate of bacterial wilt (susceptible), whereas homozygous recessive loci (--) reduced the index of bacterial wilt (resistant) with considerable additive effects and low dominant effects, suggesting that the inheritance of the bacterial wilt rate and index in tobacco mainly relies on additive inheritance.

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“…Rodrigues et al (2010). Os utilizados para seleção quanto à proteína foram relatados por Orf et al (1999), Sebolt et al (2000), Csanádi et al (2001), Specht et al (2001), Chapman et al (2003), Chung et al (2003), Tajuddin et al (2003), Hyten et al (2004), Reinprecht et al (2006), Chen et al (2007) e Soares et al (2008).…”

Section: Methodsunclassified

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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Genetics of Soybean Agronomic Traits: I. Comparison of Three Related Recombinant Inbred Populations

Cited by 311 publications

References 12 publications

Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing

Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing

Genetic analyses of the major and minor locus groups of bacterial wilt resistance in tobacco using a diallel cross design

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

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