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  • QTL  (15)
  • Springer  (15)
  • Nature Publishing Group
  • 2020-2023
  • 1995-1999  (15)
  • 1985-1989
  • 1980-1984
  • 1975-1979
  • 1996  (15)
  • 1981
Collection
Keywords
Publisher
  • Springer  (15)
  • Nature Publishing Group
Years
  • 2020-2023
  • 1995-1999  (15)
  • 1985-1989
  • 1980-1984
  • 1975-1979
Year
  • 1
    Electronic Resource
    Electronic Resource
    Targeted comparative genome analysis and qualitative mapping of a major partial-resistance gene to the soybean cyst nematode (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 234-241 
    Details
    ISSN: 1432-2242
    Keywords: Key words Quantitative trait locus ; QTL ; Disease resistance ; Polygenic
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A major partial-resistance locus to the soybean cyst nematode (Heterodera glycines Ichinohe; SCN) was identified on linkage group `G' of soybean [Glycine max (L.) Merr.] using restriction fragment length polymorphisms (RFLPs). This locus explained 51.4% (LOD=10.35) of the total phenotypic variation in disease response in soybean Plant Introduction (PI) 209332, 52.7% (LOD=15.58) in PI 90763, 40.0% (LOD=10.50) in PI 88788, and 28.1% (LOD=6.94) in `Peking'. Initially, the region around this major resistance locus was poorly populated with DNA markers. To increase marker density in this genomic region, first random, and later targeted, comparative mapping with RFLPs from mungbean [Vigna radiata (L.) R. Wilcz.] and common bean (Phaseolus vulgaris L.) was performed, eventually leading to one RFLP marker every 2.6 centimorgans (cM). Even with this marker density, the inability to resolve SCN disease response into discrete Mendelian categories posed a major limitation to mapping. Thus, qualitative scoring of SCN disease response was carried out in an F5:6 recombinant inbred population derived from `Evans'×PI 209332 using a 30% disease index cut-off for resistance. Using the computer program JoinMap, an integrated map of the region of interest was created, placing the SCN resistance locus 4.6 cM from RFLP marker B53 and 2.8 cM from Bng30. This study demonstrates how a combination of molecular-mapping strategies, including comparative genome analysis, join mapping, and qualitative scoring of a quantitative trait, potentially provide the necessary tools for high-resolution mapping around a quantitative-trait locus.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050271
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  • 2
    Electronic Resource
    Electronic Resource
    Targeted comparative genome analysis and qualitative mapping of a major partial-resistance gene to the soybean cyst nematode (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 234-241 
    Details
    ISSN: 1432-2242
    Keywords: Quantitative trait locus ; QTL ; Disease resistance ; Polygenic
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A major partial-resistance locus to the soybean cyst nematode (Heterodera glycines Ichinohe; SCN) was identified on linkage group ‘G’ of soybean [Glycine max (L.) Merr.] using restriction fragment length polymorphisms (RFLPs). This locus explained 51.4% (LOD=10.35) of the total phenotypic variation in disease response in soybean Plant Introduction (PI) 209332, 52.7% (LOD=15.58) in PI 90763, 40.0% (LOD=10.50) in PI 88788, and 28.1% (LOD=6.94) in ‘Peking’. Initially, the region around this major resistance locus was poorly populated with DNA markers. To increase marker density in this genomic region, first random, and later targeted, comparative mapping with RFLPs from mungbean [Vigna radiata (L.) R. Wilcz.] and common bean (Phaseolus vulgaris L.) was performed, eventually leading to one RFLP marker every 2.6 centimorgans (cM). Even with this marker density, the inability to resolve SCN disease response into discrete Mendelian categories posed a major limitation to mapping. Thus, qualitative scoring of SCN disease response was carried out in an F5∶6 recombinant inbred population derived from ‘Evans’xPI 209332 using a 30% disease index cut-off for resistance. Using the computer program JoinMap, an integrated map of the region of interest was created, placing the SCN resistance locus 4.6 cM from RFLP marker B53 and 2.8 cM from Bng30. This study demonstrates how a combination of molecularmapping strategies, including comparative genome analysis, join mapping, and qualitative scoring of a quantitative trait, potentially provide the necessary tools for high-resolution mapping around a quantitative-trait locus.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00225751
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  • 3
    Electronic Resource
    Electronic Resource
    Genetic dissection of height in maritime pine seedlings raised under accelerated growth conditions (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 849-858 
    Details
    ISSN: 1432-2242
    Keywords: Pinus pinaster ; Maturation ; Height ; RAPD ; QTL ; Megagametophyte
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Random Amplified Polymorphic DNAs (RAPDs) were used to investigate quantitative trait loci (QTL) for traits related to height growth on 126 F2 seedlings of maritime pine (Pinuspinaster Ait). The haploid megagametophyte was used to determine the maternal genotype of each F2 individual. The seedlings were raised for 2 years in a greenhouse under accelerated growth conditions consisting of intense fertilization combined with continuous light treatments. Total height was measured at different developmental stages, and height growth components were measured after the second growth period. QTLs were identified for each trait. For total height, QTLs of different developmental stages were located on distinct linkage groups. However, rather than a complete temporal change in QTL expression, our results showed that maturation may induce a progressive shift of the genetic control of height growth. This may provide an explanation for a low juvenile-mature phenotypic correlation previously reported for height. Height growth components related to the initiation (controlled by the apical meristem) and elongation of shoot cycles (controlled by the subapical meristem) were mapped to different chromosomes, suggesting that the activity of these meristems is controlled by separate genetic mechanisms.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00224085
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  • 4
    Electronic Resource
    Electronic Resource
    A genome-wide search for wild-species alleles that increase horticultural yield of processing tomatoes (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 877-886 
    Details
    ISSN: 1432-2242
    Keywords: Breeding ; QTL ; Wild germ plasm ; Introgression lines ; Lycopersicon pennellii
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract To identify QTLs associated with horticultural yield it is necessary to conduct replicated plot trials of the tested genotypes. The first step in the utilization of an introgression-line (IL) population of Lycopersicon pennellii in a processing-tomato variety (M82) for mapping such QTLs was to screen 51 ILs in a non-replicated plot trial. The results of this survey were compared to those obtained in a replicated trial of the same genotypes grown as single plants at wide spacing. Fruit characteristics were similar between the two stands, but yield was generally different. Eight lines that outperformed the control in the plot survey were subjected to detailed analysis in the following year. The effects of these introgressions, measured on single plants, were reproducible relative to the previous year's results. In a replicated plot trial of these ILs and their hybrids involving two genetic backgrounds, the product of yield and total soluble solids (horticultural yield) in seven of the eight hybrids was 7–13% higher than that of their nearly isogenic controls. The results revealed a consistent trend in the interaction between introgression effects and genetic background. Combining the two introgressions with the largest contribution to horticultural yield in plots resulted in a 20% increase relative to the control in the third year. This research highlights the potential of wild germ plasm for yield improvement and the ability of nearly isogenic populations to achieve this goal.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00224089
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  • 5
    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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  • 6
    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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  • 7
    Electronic Resource
    Electronic Resource
    Genetic analysis using trans-dominant linked markers in an F2 family (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 1083-1089 
    Details
    ISSN: 1432-2242
    Keywords: Dominant marker ; F2 family ; Linkage ; QTL ; Information function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Trans-dominant linked markers pairs (trans referring to the repulsion linkage phase) provide a model for inferring the F2 progeny genotype based upon both the conditional probabilities of F2 genotypes, given the F2 phenotype, and prior information on marker arrangement. Prior information of marker arrangement can be readily obtained from a linkage analysis performed on marker segregation data in a family resulting by crossing the F1 individual to a “tester” parent or else can be obtained directly from the gametes of the F1, or from recombinant inbred lines. We showed that a trans-dominant linked marker (TDLM) pair can be recoded as a “co-dominant megalocus” when the recombination fraction, r1, for apair of TDLMs is less than 0.05. We obtained a maximum-likelihood estimator (MLE) of the recombination frequency, r2, between a TDLM pair and a co-dominant marker in an F2 family using the EM algorithm. The MLE was biased. Mean bias increased as r1 and r2 increased, and decreased as sample size increased. The information content for r2 was compared to the information content of dominant and co-dominant markers segregating in an F2 family. It was almost identical with two co-dominant markers when r1≤0.01 and r2≥0.05. For larger values of r1, (0.05≤r1≤0.15) a TDLM pair provided 75%–66% of the information content of two co-dominant markers. Although dominant markers can be converted to co-dominant markers by a laborious process of cloning, sequencing, and PCR, TDLM pairs could easily substitute for co-dominant markers in order to detect quantitative trait loci (QTLs) and estimate gene action in an F2 family.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00230129
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  • 8
    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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  • 9
    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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  • 10
    Electronic Resource
    Electronic Resource
    Evaluation of barley chromosome-3 yield QTLs in a backcross F2 population using STS-PCR (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 618-625 
    Details
    ISSN: 1432-2242
    Keywords: Barley ; Headshutter ; Lodging ; QTL ; STS-PCR ; Yield
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Chromosome 3 displayed the two largest yield QTLs in a previous study of 150 doubled haploid lines derived from a cross of Steptoe and Morex barley varieties. Low-copy number RFLP markers, detected using Southern analysis, are excellent tools for generating robust linkage maps as demonstrated by the Steptoe and Morex map produced by the North American Barley Genome Mapping Project (SM NABGMP). However, this technique can be cumbersome when applied to practically oriented plant breeding programs. In the present report, we demonstrate the conversion of RFLPs to more practically useful PCR-based markers that are co-dominant and allelic to the barley chromosome-3 RFLP markers from which they derive. We have used these sequence-tagged-site (STS) PCR markers to evaluate the putative yield QTL components of the Steptoe chromosome 3 in a Morex backcross population. Headshattering, plant lodging, and yield measurements are reported from five replicated field experiments conducted under diverse growing conditions in Montana. Our study detected significant effects for all three traits in a chromosomal region that evidently corresponds to the larger of the two previously reported chromosome-3 QTLs. However, we failed to detect any yield or other effects which might be coincidental to the second largest yield QTL. The genetic effects of the yield QTL identified in our first backcross breeding population show similar magnitude, environmental interactions, and association with lodging and headshattering QTLs observed in the SM NABGMP experiments. Our study elucidates complex environmental conditioning for headshattering and plant lodging which probably underlie the variable yield effects observed under different growing conditions.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00417957
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