Soybean Response to Water: A QTL Analysis of Drought Tolerance

Specht, James E.; Chase, Kevin; Macrander, M.; Graef, George L.; Chung, Jong Il; Markwell, John; Germann, M.; Orf, J. H.; Lark, Karl G.

doi:10.2135/cropsci2001.412493x

Cited by 448 publications

(284 citation statements)

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“…The different concentrations of seed constituents among years in both locations reflected the effect of environmental factors on seed composition constituents. It was reported that seed constituents were affected by environment [16,17,40], temperature [17,18], drought [19,21,22,40], and nutrients in soil and seed [3][4][5]. It was reported that seed constituents vary in the same soybean cultivar grown in different years or under different environments in the same year [26].…”

Section: Seed Yield Protein Oil and Fatty Acidsmentioning

confidence: 99%

“…However, seed composition have also shown to be affected by environment [16,17], genotype, maturity, diseases [18][19][20], temperature [17,18] and drought [19,21,22], nutrients in soil and seed [23][24][25], and planting date [26,27]. For example, it was reported that [26] seed composition varied in the same cultivar grown in different years or under different environments in the same year, and seed protein concentration increased as planting was delayed.…”

Section: Introductionmentioning

confidence: 99%

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Soybean Seed Protein, Oil, Fatty Acids, and Isoflavones Altered by Potassium Fertilizer Rates in the Midsouth

Bellaloui¹,

Yin²,

Mengistu³

et al. 2013

AJPS

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Previous research has shown that the effect of potassium fertilizer on soybean ([Glycine max (L.) Merr.] seed composition (protein, oil, fatty acids, and isoflavones) is still largely unknown. Therefore, the objective of this research was to investigate the effects of potassium application on seed protein, oil, fatty acids, and isoflavones under Midsouth environmental conditions. A three-year experiment was conducted in two locations (Milan, TN and Jackson, TN). Potassium (K) rates were applied in the form of K 2 O at a rate of 0 (Control, C), 45 (T1), 90 (T2), 134 (T3), and 179 (T4) kg·ha −1 in a randomized complete block design. The results showed that increasing the K application rate did not result in consistent effects on yield. However, increasing K application rate did increase protein, oleic acid, and individual and total isoflavone concentrations at both locations in 2008 and 2009. In Jackson in 2010, the increase of K rate did not change oleic acid, but resulted in an increase in glycitein and genistein isoflavone concentrations. In 2010, increasing K application rate increased protein concentrations, decreased individual and total isoflavones, and did not change oleic acid concentration at Milan. At the highest rate of K, 179 kg·ha −1 , yield and some seed composition constituents were negatively impacted. Generally, K concentration in leaves at V5, R1, R3, and seed at harvest maturity stage (R8) increased with the increase of K rate applications. The research demonstrated that K application can alter seed composition, but this alteration depended on location, environmental stress factors, mainly heat and drought, K level in soil, and K application rate. Higher rates of K application may negatively impact seed composition constituents.

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Section: Seed Yield Protein Oil and Fatty Acidsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Soybean Seed Protein, Oil, Fatty Acids, and Isoflavones Altered by Potassium Fertilizer Rates in the Midsouth

Bellaloui¹,

Yin²,

Mengistu³

et al. 2013

AJPS

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“…Several authors (Mansur et al, 1996;Brummer et al, 1997;Specht et al, 2001) have reported other quantitative loci with different magnitudes, locations, and genetic populations.…”

Section: Discussionmentioning

confidence: 99%

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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“…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

“…Vários marcadores de locos de caracteres quantitativos (QTL) foram relatados para teores de óleo e proteína em soja (Sebolt et al, 2000;Csanádi et al, 2001;Specht et al, 2001;Chung et al, 2003;Chapman et al, 2003;Tajuddin et al, 2003;Fasoula et al, 2004;Hyten et al, 2004;Zhang et al, 2004;Panthee et al, Pesq. agropec.…”

Section: Introductionunclassified

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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Soybean Response to Water: A QTL Analysis of Drought Tolerance

Cited by 448 publications

References 45 publications

Soybean Seed Protein, Oil, Fatty Acids, and Isoflavones Altered by Potassium Fertilizer Rates in the Midsouth

Soybean Seed Protein, Oil, Fatty Acids, and Isoflavones Altered by Potassium Fertilizer Rates in the Midsouth

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

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

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