Registration of the Flyer × Hartwig Recombinant Inbred Line Mapping Population

Kazi, Samreen; Njiti, V. N.; Doubler, T. W.; Yuan, Jiazheng; Iqbal, Javeed; Cianzio, Silvia R.; Lightfoot, David A.

doi:10.3198/jpr2006.07.0481crmp

Cited by 20 publications

(36 citation statements)

References 20 publications

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“…Hartwig was lower yielding but consistently resistant to SDS in most locations (Njiti et al, 1997(Njiti et al, , 2001Mueller et al, 2003) and strongly resistant to most HG Types of SCN (Anand 1992). Flyer was higher yielding but susceptible to most SCN HG Types and to SDS (Yuan et al, 2002;Kazi et al, 2007Kazi et al, , 2008Kazi et al, , 2010.…”

Section: Plant Materialsmentioning

confidence: 99%

“…The complete F 5:11 F × H RIL (n=92) population was tested for reactions for SCN Hg Type 0 (PA-3; race 3). Of the HG Type 0 resistant lines the reactions to HG types 1.3.6.7 (PA-14, race 14) and HG Type 1.2.3.5.6.7 (PA2, race 2) were determined (Kazi et al, 2007). Five, three and two single-plant replications were used respectively per RIL line.…”

Section: Scn Scoresmentioning

confidence: 99%

“…The population was planted in SDS infested environments as described in Yuan et al (2002) and Kazi et al (2007). Briefly at the Southern Illinois University Carbondale Agonomy research center (ARC), Ullin (U) and Ridgway (R) disease incidence (DI), disease severity (DS) and root infection severity (IS) were measured from 1997 to 2000.…”

Section: Sds Analysismentioning

confidence: 99%

“…DNA was extracted and used for microsatellite amplifications as in Yuan et al (2002) as modified by Kazi et al (2007). Briefly, more than 350 BARC-Satt markers spaced at 5-10 cM intervals (Song et al, 2004) were used.…”

Section: Dna Marker Analysismentioning

confidence: 99%

See 3 more Smart Citations

Identification of Loci Underlying Seed Yield in Recombinant Inbred and Near Isogeneic Soybean Lines Derived from Flyer by Hartwig

Kazi

Shultz

Afzal

et al. 2017

AJB

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Section: Plant Materialsmentioning

confidence: 99%

Section: Scn Scoresmentioning

confidence: 99%

Section: Sds Analysismentioning

confidence: 99%

Section: Dna Marker Analysismentioning

confidence: 99%

See 2 more Smart Citations

Identification of Loci Underlying Seed Yield in Recombinant Inbred and Near Isogeneic Soybean Lines Derived from Flyer by Hartwig

Kazi

Shultz

Afzal

et al. 2017

AJB

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“…Lightfoot of SIUC. This HxF RIL population was extensively studied for seed yield, sudden death syndrome (SDS) resistance, maturity, and lodging (Kazi, 2005;Kazi et al, 2007Kazi et al, , 2008.…”

Section: Plant Materialsmentioning

confidence: 99%

Genetic Analysis of Relative Water Content (RWC) in Two Recombinant Inbred Line Populations of Soybean [Glycine max (L.) Merr.].

Virginia

Pagan

Cooper

et al. 2012

JPGS

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Molecular Mapping and Breeding with Microsatellite Markers

Lightfoot

Iqbal

2013

Methods in Molecular Biology

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In genetics databases for crop plant species across the world, there are thousands of mapped loci that underlie quantitative traits, oligogenic traits, and simple traits recognized by association mapping in populations. The number of loci will increase as new phenotypes are measured in more diverse genotypes and genetic maps based on saturating numbers of markers are developed. A period of locus reevaluation will decrease the number of important loci as those underlying mega-environmental effects are recognized. A second wave of reevaluation of loci will follow from developmental series analysis, especially for harvest traits like seed yield and composition. Breeding methods to properly use the accurate maps of QTL are being developed. New methods to map, fine map, and isolate the genes underlying the loci will be critical to future advances in crop biotechnology. Microsatellite markers are the most useful tool for breeders. They are codominant, abundant in all genomes, highly polymorphic so useful in many populations, and both economical and technically easy to use. The selective genotyping approaches, including genotype ranking (indexing) based on partial phenotype data combined with favorable allele data and bulked segregation event (segregant) analysis (BSA), will be increasingly important uses for microsatellites. Examples of the methods for developing and using microsatellites derived from genomic sequences are presented for monogenic, oligogenic, and polygenic traits. Examples of successful mapping, fine mapping, and gene isolation are given. When combined with high-throughput methods for genotyping and a genome sequence, the use of association mapping with microsatellite markers will provide critical advances in the analysis of crop traits.

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Registration of the Flyer × Hartwig Recombinant Inbred Line Mapping Population

Cited by 20 publications

References 20 publications

Identification of Loci Underlying Seed Yield in Recombinant Inbred and Near Isogeneic Soybean Lines Derived from Flyer by Hartwig

Identification of Loci Underlying Seed Yield in Recombinant Inbred and Near Isogeneic Soybean Lines Derived from Flyer by Hartwig

Genetic Analysis of Relative Water Content (RWC) in Two Recombinant Inbred Line Populations of Soybean [Glycine max (L.) Merr.].

Molecular Mapping and Breeding with Microsatellite Markers

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