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  • 1
    Electronic Resource
    Electronic Resource
    Symbiont Regulation and Reducing Ergot Alkaloid Concentration by Breeding Endophyte-Infected Tall Fescue (1997)
    Springer
    Journal of chemical ecology 23 (1997), S. 691-704 
    Details
    ISSN: 1573-1561
    Keywords: Neotyphodium ; Acremonium ; ergot alkaloids ; diallel cross ; heritability ; fescue toxicosis ; endophyte ; tall fescue ; mutualism ; symbiosis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Abstract Ergot alkaloids in endophyte-infected (E+) tall fescue (Festuca arundinacea) are responsible for livestock toxicosis. The host plant is capable of modifying the extent to which endophyte produces ergot alkaloids, possibly via endophyte nutrition by the host. Endophytes vary in alkaloid production. Maintaining the E+ tall fescue is essential for plant survival. Therefore, crop scientists are interested in reducing alkaloid concentration of E+ tall fescue. The objectives of this study were to determine maternal and paternal effects as an estimate of plant and endophyte genotype interactions for ergot alkaloid phenotype and the heritability of the ergot alkaloid trait in divergently selected E+ tall fescue populations. Diallel crosses were conducted among four tall fescue genotypes that varied in alkaloid concentration. Five of six crosses had progeny means less than the parental means when genotypes with lowest alkaloid were the female parents. Four of six crosses had progeny means similar to the parental means of crosses when high alkaloid genotypes were the female parents. Large ranges in progeny suggest an interaction between endophyte and plant affects alkaloid phenotype. In a second experiment, a tall fescue population was screened for alkaloid concentration. Low- and high-alkaloid plants were selected and poly-crossed within each class. Mean alkaloid concentrations of the high- and low-alkaloid progeny were higher or lower than the parental population. The trait was highly heritable and alkaloid concentration was reduced by 86% in the low-alkaloid population after two generations of selection.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/B:JOEC.0000006404.33191.60
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  • 2
    Electronic Resource
    Electronic Resource
    RFLP loci associated with soybean seed protein and oil content across populations and locations (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 649-657 
    Details
    ISSN: 1432-2242
    Keywords: Soybean ; Glycine max ; Protein content ; Oil content ; Mapping ; QTL ; RFLP
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Molecular markers provide the opportunity to identify marker-quantitative trait locus (QTL) associations in different environments and populations. Two soybean [Glycine max (L.) Merr.] populations, ‘Young’ x PI 416 937 and PI 97100 x ‘Coker 237’, were evaluated with restriction fragment length polymorphism (RFLP) markers to identify additional QTLs related to seed protein and oil. For the Young x PI 416937 population, 120 F4-derived lines were secored for segregation at 155 RFLP loci. The F4-derived lines and two parents were grown at Plains, G.a., and Windblow and Plymouth, N.C. in 1994, and evaluated for seed protein and oil. For the PI 97100 x Coker 237 population, 111 F2-derived lines were evaluated for segregation at 153 RFLP loci. Phenotypic data for seed protein and oil were obtained in two different locations (Athens, G.a., and Blackville, S.C.) in 1994. Based on single-factor analysis of variance (ANOVA) for the Young x PI 416937 population, five of seven independent markers associated with seed protein, and all four independent markers associated with seed oil in the combined analysis over locations were detected at all three locations. For the PI 97 100 x Coker 237 population, both single-factor ANOVA and interval mapping were used to detect QTLs. Using single-factor ANOVA, three of four independent markers for seed protein and two of three independent markers for seed oil were detected at both locations. In both populations, singlefactor ANOVA, revealed the consistency of QTLs across locations, which might be due to the high heritability and the relatively few QTLs with large effects conditioning these traits. However, interval mapping of the PI 97100 x Coker 237 population indicated that QTLs identified at Athens for seed protein and oil were different from those at Blackville. This might result from the power of QTL mapping being dependent on the level of saturation of the genetic map. Increased seed protein was associated with decreased seed oil in the PI 97100 x Coker 237 population (r = −0.61). There were various common markers (P⩽0.05) on linkage groups (LG) E, G,H,K, and UNK2 identified for both seed protein and oil. One QTL on LG E was associated with seed protein in both populations. The other QTLs for protein and oil were population specific.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00224058
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  • 3
    Electronic Resource
    Electronic Resource
    Molecular markers associated with seed weight in two soybean populations (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 1011-1016 
    Details
    ISSN: 1432-2242
    Keywords: Soybean ; Glycine max ; Seed weight ; RFLP ; QTL ; Markers
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Seed weight (SW) is a component of soybean, Glycine max (L.) Merr., seed yield, as well as an important trait for food-type soybeans. Two soybean populations, 120 F4-derived lines of ‘Young’xPI416937 (Pop1) and 111 F2-derived lines of PI97100x‘Coker 237’ (Pop2), were mapped with RFLP makers to identify quantitative trait loci (QTLs) conditioning SW across environments and populations. The genetic map of Pop1 consisted of 155 loci covering 973 cM, whereas Pop2 involved 153 loci and covered 1600 cM of map distance. For Pop1, the phenotypic data were collected from Plains, GA., Windblow, N.C., and Plymouth, N.C., in 1994. For Pop2, data were collected from Athens, GA., in 1994 and 1995, and Blackville, S.C., in 1995. Based on single-factor analysis of variance (ANOVA), seven and nine independent loci were associated with SW in Pop1 and Pop2, respectively. Together the loci explained 73% of the variability in SW in Pop1 and 74% in Pop2. Transgressive segregation occurred among the progeny in both populations. The marker loci associated with SW were highly consistent across environments and years. Two QTLs on linkage group (LG) F and K were located at similar genomic regions in both populations. The high consistency of QTLs across environments indicates that effective marker-assisted selection is feasible for soybean SW.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00230118
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  • 4
    Electronic Resource
    Electronic Resource
    Molecular markers associated with seed weight in two soybean populations (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 1011-1016 
    Details
    ISSN: 1432-2242
    Keywords: Key words Soybean ; Glycine max ; Seed weight ; RFLP ; QTL ; Markers
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Seed weight (SW) is a component of soybean, Glycine max (L.) Merr., seed yield, as well as an important trait for food-type soybeans. Two soybean populations, 120 F4-derived lines of `Young'×PI416937 (Pop1) and 111 F2-derived lines of PI97100×`Coker 237' (Pop2), were mapped with RFLP makers to identify quantitative trait loci (QTLs) conditioning SW across environments and populations. The genetic map of Pop1 consisted of 155 loci covering 973 cM, whereas Pop2 involved 153 loci and covered 1600 cM of map distance. For Pop1, the phenotypic data were collected from Plains, GA., Windblow, N.C., and Plymouth, N.C., in 1994. For Pop2, data were collected from Athens, GA., in 1994 and 1995, and Blackville, S.C., in 1995. Based on single-factor analysis of variance (ANOVA), seven and nine independent loci were associated with SW in Pop1 and Pop2, respectively. Together the loci explained 73% of the variability in SW in Pop1 and 74% in Pop2. Transgressive segregation occurred among the progeny in both populations. The marker loci associated with SW were highly consistent across environments and years. Two QTLs on linkage group (LG) F and K were located at similar genomic regions in both populations. The high consistency of QTLs across environments indicates that effective marker-assisted selection is feasible for soybean SW.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050328
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  • 5
    Electronic Resource
    Electronic Resource
    Identification of molecular markers linked to quantitative trait loci for soybean resistance to corn earworm (1998)
    Springer
    Theoretical and applied genetics 96 (1998), S. 786-790 
    Details
    ISSN: 1432-2242
    Keywords: Key words Soybean ; Glycine max ; QTL ; RFLP ; Antixenosis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  One hundred and thirty nine restriction fragment length polymorphisms (RFLPs) were used to construct a soybean (Glycine max L. Merr.) genetic linkage map and to identify quantitative trait loci (QTLs) associated with resistance to corn earworm (Helicoverpa zea Boddie) in a population of 103 F2-derived lines from a cross of ‘Cobb’ (susceptible) and PI229358 (resistant). The genetic linkage map consisted of 128 markers which converged onto 30 linkage groups covering approximately 1325 cM. There were 11 unlinked markers. The F2-derived lines and the two parents were grown in the field under a plastic mesh cage near Athens, Ga., in 1995. The plants were artificially infested with corn earworm and evaluated for the amount of defoliation. Using interval-mapping analysis for linked markers and single-factor analysis of variance (ANOVA), markers were tested for an association with resistance. One major and two minor QTLs for resistance were identified in this population. The PI229358 allele contributed insect resistance at all three QTLs. The major QTL is linked to the RFLP marker A584 on linkage group (LG) ‘M’ of the USDA/Iowa State University public soybean genetic map. It accounts for 37% of the total variation for resistance in this cross. The minor QTLs are linked to the RFLP markers R249 (LG ‘H’) and Bng047 (LG ‘D1’). These markers explain 16% and 10% of variation, respectively. The heritability (h2) for resistance was estimated as 64% in this population.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050803
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  • 6
    Electronic Resource
    Electronic Resource
    QTLs associated with chlorimuron ethyl sensitivity in soybean: Effects on seed yield and related traits (1997)
    Springer
    Theoretical and applied genetics 94 (1997), S. 971-974 
    Details
    ISSN: 1432-2242
    Keywords: Key words Soybean ; Glycine max ; QTLs ; RFLP ; Chlorimuron ethyl ; Seed yield
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Soybean, Glycine max (L.) Merr., genotypes are known to differ in chlorimuron ethyl sensitivity (CS). Earlier we have reported two putatively independent marker loci linked to two quantitative trait loci (QTLs) controlling CS in a soybean population derived from a cross of PI97100 (sensitive to chlorimuron ethyl) and ‘Coker 237’ (tolerant to chlorimuron ethyl). The objective of the present study was to quantify the association of the two marker loci with seed yield and related traits in this soybean population following application of chlorimuron ethyl. Phenotypic data were collected for 111 F2-derived lines of the cross grown in replicated plots at Athens, G.A., in 1994 and 1995, and at Blackville, S.C., in 1995. The two CS marker loci explained as much as 50% of the genetic variation in seed yield and seed number m-2, but had no association with seed weight, plant height, lodging, seed protein, and seed oil. There were no epistatic interactions between the two marker loci for any of the traits. The marker locus (cr168-1 on USDA linkage group E) linked to the major CS QTL explained between 13 and 23% of the variation in seed yield. The Coker 237 allele at this locus was associated with decreased CS and increased seed yield. The marker locus (Blt015-2 on an unknown linkage group) linked to the minor CS QTL accounted for a maximum of 11% of the variation in seed yield. The Coker 237 allele at this locus was associated with an increase in CS and a decrease in seed yield. The association of the two marker loci with seed number m-2 strongly resembled their association with seed yield. Seed yield had a strong positive correlation (r=0.74 – 0.94) with seed number m-2, and the effect of chlorimuron ethyl on seed yield was due mainly to its effect on seed number m-2 rather than seed weight.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050503
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  • 7
    Electronic Resource
    Electronic Resource
    QTLs conditioning early growth in a soybean population segregating for growth habit (1998)
    Springer
    Theoretical and applied genetics 97 (1998), S. 1210-1216 
    Details
    ISSN: 1432-2242
    Keywords: Key words Soybean ; Glycine max ; RFLP ; QTL ; Plant height ; Canopy width
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  There are both economic and environmental reasons for reducing the use of herbicides for weed control in soybean [Glycine max (L.) Merr.] fields. Optimizing crop competitiveness can reduce reliance on chemical weed control. Fast and vigorous early growth and rapid canopy development can be effective in suppressing weed infestation of crop plants. The purposes of this study were to identify and molecularly map the quantitative trait loci (QTLs) conditioning soybean plant height and canopy width during the early vegetative stages of soybean growth. A restriction fragment length polymorphism (RFLP) linkage map was created using 142 markers and 116 F2-derived lines from a cross of ‘S100’בTokyo’. The parents and the 116 F2-derived lines were evaluated in the greenhouse and in the field at Athens, Ga., in 1996 and 1997. Combined over environments, Tokyo averaged 41 and 17% taller plants than S100 at the V7 and V10 stages of development. Transgressive segregation was observed among the progeny at both stages. Based on single-factor analysis of variance (ANOVA), three and four independent RFLP loci were associated with plant height at the V7 and V10 stages, respectively. All three loci detected [on linkage groups (LGs) C2 and F, and unlinked] at the V7 stage were also detected at the V10 stage along with one additional independent locus on LG E. The Tokyo allele contributed to increased plant height at all loci except at the unlinked locus. Three QTLs (on LGs C2, E, and F) were consistent across environments, three (on LGs C2 and F, and unlinked) were consistent across stages of plant development, and two (on LGs C2 and F) were consistent both across environments and stages of plant development. Within each stage of development, there was no interaction among the independent loci, and the respective loci together explained most of the variation in the traits. Three independent RFLP loci were associated with canopy width at the V10 stage, of which one was unique to the trait, while the remaining loci (on LGs C2 and F) were in common with the independent loci for plant height. Canopy width had a strong correlation (r=0.87) with plant height at the V10 stage. However, mature plant height, lodging, or seed weight had no phenotypic or QTL association with early plant height or canopy width.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220051012
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  • 8
    Electronic Resource
    Electronic Resource
    Identification of quantitative trait loci for plant height, lodging, and maturity in a soybean population segregating for growth habit (1996)
    Springer
    Theoretical and applied genetics 92 (1996), S. 516-523 
    Details
    ISSN: 1432-2242
    Keywords: Soybean ; Glycine max ; QTL ; RFLP
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The use of molecular markers to identify quantitative trait loci (QTLs) has the potential to enhance the efficiency of trait selection in plant breeding. The purpose of the present study was to identify additional QTLs for plant height, lodging, and maturity in a soybean, Glycine max (L.) Merr., population segregating for growth habit. In this study, 153 restriction fragment length polymorphisms (RFLP) and one morphological marker (Dt1) were used to identify QTLs associated with plant height, lodging, and maturity in 111 F2-derived lines from a cross of PI 97100 and ‘Coker 237’. The F2-derived lines and two parents were grown at Athens, Ga., and Blackville, S.C., in 1994 and evaluated for phenotypic traits. The genetic linkage map of these 143 loci covered about 1600 cM and converged into 23 linkage groups. Eleven markers remained unlinked. Using interval-mapping analysis for linked markers and single-factor analysis of variance (ANOVA), loci were tested for association with phenotypic data taken at each location as well as mean values over the two locations. In the combined analysis over locations, the major locus associated with plant height was identified as Dt1 on linkage group (LG) L. The Dt1 locus was also associated with lodging. This locus explained 67.7% of the total variation for plant height, and 56.4% for lodging. In addition, two QTLs for plant height (K007 on LG H and A516b on LG N) and one QTL for lodging (cr517 on LG J) were identified. For maturity, two independent QTLs were identified in intervals between R051 and N100, and between B032 and CpTI, on LG K. These QTLs explained 31.2% and 26.2% of the total variation for maturity, respectively. The same QTLs were identified for all traits at each location. This consistency of QTLs may be related to a few QTLs with large effects conditioning plant height, lodging, and maturity in this population.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00224553
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  • 9
    Electronic Resource
    Electronic Resource
    DNA marker analysis of loci conferring resistance to peanut root-knot nematode in soybean (1997)
    Springer
    Theoretical and applied genetics 95 (1997), S. 664-670 
    Details
    ISSN: 1432-2242
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Peanut root-knot nematode [Meloidogyne arenaria (Neal) Chitwood] (Ma) is a serious pathogen of soybean, Glycine max L. Merrill, in the southern USA. Breeding for root-knot nematode resistance is an important objective in many plant breeding programs. The inheritance of soybean resistance to Ma is quantitative and has a moderate-to-high variance-component heritability on a family mean basis. The objectives of the present study were to use restriction fragment length polymorphism (RFLP) markers to identify quantitative trait loci (QTLs) conferring resistance to Ma and to determine the genomic location and the relative contribution to resistance of each QTL. An F2 population from a cross between PI200538 (Ma resistant) and ‘CNS’ (Ma susceptible) was mapped with 130 RFLPs. The 130 markers converged on 20 linkage groups spanning a total of 1766 cM. One hundred and five F2:3 families were grown in the greenhouse and inoculated with Ma Race 2. Two QTLs conferring resistance to Ma were identified and PI200538 contributed the alleles for resistance at both QTLs. One QTL was mapped at 0-cM recombination with marker B212V-1 on linkage group-F (LG-F) of the USDA/ARS-Iowa State University RFLP map, and accounted for 32% of the variation in gall number. Another QTL was mapped in the interval from B212D-2 to A111H-2 on LG-E, and accounted for 16% of the variation in gall number. Gene action for the QTL located on LG-F was additive to partially dominant, whereas the gene action for the QTL on LG-E was dominant with respect to resistance. The two QTLs, when fixed on the framework map, accounted for 51% of the variation in gall number in a two-QTL model. The two QTLs for Ma resistance were found in duplicated regions of the soybean genome, and the major QTL for Ma resistance on LG-F is positioned within a cluster of eight diverse disease-resistance loci.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050610
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  • 10
    Electronic Resource
    Electronic Resource
    Identification of quantitative trait loci for plant height, lodging, and maturity in a soybean population segregating for growth habit (1996)
    Springer
    Theoretical and applied genetics 92 (1996), S. 516-523 
    Details
    ISSN: 1432-2242
    Keywords: Key words  Soybean ; Glycine max ; QTL ; RFLP
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract   The use of molecular markers to identify quantitative trait loci (QTLs) has the potential to enhance the efficiency of trait selection in plant breeding. The purpose of the present study was to identify additional QTLs for plant height, lodging, and maturity in a soybean, Glycine max (L.) Merr., population segregating for growth habit. In this study, 153 restriction fragment length polymorphisms (RFLP) and one morphological marker (Dt1) were used to identify QTLs associated with plant height, lodging, and maturity in 111 F2-derived lines from a cross of PI 97100 and `Coker 237'. The F2-derived lines and two parents were grown at Athens, Ga., and Blackville, S.C., in 1994 and evaluated for phenotypic traits. The genetic linkage map of these 143 loci covered about 1600 cM and converged into 23 linkage groups. Eleven markers remained unlinked. Using interval-mapping analysis for linked markers and single-factor analysis of variance (ANOVA), loci were tested for association with phenotypic data taken at each location as well as mean values over the two locations. In the combined analysis over locations, the major locus associated with plant height was identified as Dt1 on linkage group (LG) L. The Dt1 locus was also associated with lodging. This locus explained 67.7% of the total variation for plant height, and 56.4% for lodging. In addition, two QTLs for plant height (K007 on LG H and A516b on LG N) and one QTL for lodging (cr517 on LG J) were identified. For maturity, two independent QTLs were identified in intervals between R051 and N100, and between B032 and CpTI, on LG K. These QTLs explained 31.2% and 26.2% of the total variation for maturity, respectively. The same QTLs were identified for all traits at each location. This consistency of QTLs may be related to a few QTLs with large effects conditioning plant height, lodging, and maturity in this population.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050158
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