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Freyre, R.Johnson, William C.Shirmohamadali, A.Llaca, V.Tsai, Siu MuiPereira, P.A.Skroch, Paul W.Nienhuis, JamesAdam-Blondon, Anne-FrançoiseDron, MichelTohme, Joseph M.Gepts, Paul L.[Correlation among RFLP maps in common bean]Correlation among RFLP maps in common bean
Blair, Matthew W.Rodríguez, L.M.Pedraza García, FabioMorales, Francisco JoséBeebe, Stephen E.Miklas, PNBeaver, James S.[Development and genetic mapping of a scar marker for the bean golden yellow mosaic geminivirus resistant gene BGM-1]Development and genetic mapping of a scar marker for the bean golden yellow mosaic geminivirus resistant gene BGM-1
Blair, Matthew W.Iriarte Solórzano, G.A.Beebe, Stephen E.[QTL analysis of an Andean advanced backcross population for yield traits derived from wild P. vulgaris]QTL analysis of an Andean advanced backcross population for yield traits derived from wild P. vulgaris

A preliminary search for QTLs in a cattle F2 resource populations segregating for trypanotolerance has revealed three large candidate chromosomal regions (Bta02, Bta05, Bta07). In order to narrow down the position of the trypanotolerant QTLs, we are building comparative chromosomal maps between c...


Nilsson, P.H.Kang'a, S.Rottengatter, K.Suedbeck, U.Iraqui, F.Mwakaya, J.Mwangi, D.Womack, J.E.Goldammer, T.Schwerin, M.Bradley, D.Agaba, MorrisSugimoto, K.Gelhaus, A.Horstmann, R.Teale, A.J.Kemp, Stephen J.Hanotte, Olivier H.[Radiation hybrid maps of candidate trypanotolerance regions in cattle]Radiation hybrid maps of candidate trypanotolerance regions in cattle

We have sought to test the possibility of detecting regions of the genome under selection through effects on variation at linked neutral genetic markers. Particularly, we investigated three genomic regions identified by mapping in a cross-bred pedigree as harbouring QTL for trypanosomiasis tolera...


Park, S.D.E.Adomefa, K.Dao, B.Hanotte, Olivier H.Kemp, Stephen J.Sow, R.S.Teale, A.J.Bradley, D.G.[Application of population genetic analysis of linked, mapped microsatellites to the identification of loci under selection for disease resistance]Application of population genetic analysis of linked, mapped microsatellites to the identification of loci under selection for disease resistance
Gu, W.-K.Weeden, N.F.Wallace, D.H.Singh, Shree P.[Mapping the second photoperiod gene, Hr, with the assistance of a molecular marker in common bean]Mapping the second photoperiod gene, Hr, with the assistance of a molecular marker in common bean

Spindel, JenniferWright, MarkChen, CharlesCobb, JoshuaGage, JosephHarrington, SandraLorieux, MathiasAhmadi, NourollahMcCouch, Susan[Bridging the genotyping gap: using genotyping by sequencing (GBS) to add high-density SNP markers and new value to traditional bi-parental mapping and breeding populations]Bridging the genotyping gap: using genotyping by sequencing (GBS) to add high-density SNP markers and new value to traditional bi-parental mapping and breeding populations
Ochoa, LECheca Coral, Oscar E.Beebe, Stephen E.Lynch, Jonathan P.Blair, Matthew W.[Mapping and segregation distortion analysis in the G2333 x G19839 recombinant inbred line population of common beans]Mapping and segregation distortion analysis in the G2333 x G19839 recombinant inbred line population of common beans

Motivation: Because of the unique biological features, a bioinformatic platform for the integrated genetic and physical map of maize is required for storing, integrating, accessing and visualizing the underlying data. Results: The goal of the Maize Mapping Project is to develop a fully integrated...


Fang, Z.Cone, K.Sánchez Villeda, H.Polacco, M.McMullen, M.Schroeder, S.Gardiner, J.Davis, G.Havermann, S.Yim, Y.Vroh Bi, IrieCoe, E.Bi, I.V.[iMap: a databasedriven utility to integrate and access the genetic and physical maps of maize]iMap: a databasedriven utility to integrate and access the genetic and physical maps of maize

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