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A Genomic Selection Index Applied To Simulated And Real Data, J. Jesus Ceron-Rojas, Jose Crossa, Vivi N. Arief, Kaye Basford, Jessica Rutkoski, Diego Jarquin, Gregorio Alvarado, Yoseph Beyene, Kassa Semagn, Ian Delacy
A Genomic Selection Index Applied To Simulated And Real Data, J. Jesus Ceron-Rojas, Jose Crossa, Vivi N. Arief, Kaye Basford, Jessica Rutkoski, Diego Jarquin, Gregorio Alvarado, Yoseph Beyene, Kassa Semagn, Ian Delacy
Department of Agronomy and Horticulture: Faculty Publications
A genomic selection index (GSI) is a linear combination of genomic estimated breeding values that uses genomic markers to predict the net genetic merit and select parents from a nonphenotyped testing population. Some authors have proposed a GSI; however, they have not used simulated or real data to validate the GSI theory and have not explained how to estimate the GSI selection response and the GSI expected genetic gain per selection cycle for the unobserved traits after the first selection cycle to obtain information about the genetic gains in each subsequent selection cycle. In this paper, we develop the theory …
Selective Genotyping For Marker Assisted Selection Strategies For Soybean Yield Improvement, Benjamin D. Fallen, Fred L. Allen, Dean A. Kopsell, Arnold M. Saxton, Leah Mchale, J. Grover Shannon, Stella K. Kantartzi, Andrea J. Cardinal, P. B. Cregan, D. L. Hyten, Vincent R. Pantalone
Selective Genotyping For Marker Assisted Selection Strategies For Soybean Yield Improvement, Benjamin D. Fallen, Fred L. Allen, Dean A. Kopsell, Arnold M. Saxton, Leah Mchale, J. Grover Shannon, Stella K. Kantartzi, Andrea J. Cardinal, P. B. Cregan, D. L. Hyten, Vincent R. Pantalone
Department of Agronomy and Horticulture: Faculty Publications
Using molecular markers in soybean [Glycine max (L.) Merr.] has lead to the identification of major loci controlling quantitative and qualitative traits that include: disease resistance, insect resistance and tolerance to abiotic stresses. Yield has been considered as one of the most important quantitative traits in soybean breeding. Unfortunately, yield is a very complex trait and most yield quantitative trait loci (QTL) that have been identified have had only limited success for marker assisted selection (MAS). The objective of this study was to identify QTL associated with soybean seed yield in preliminary yield trials grown in different environments and …