Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools

Interspecific hybrids can be formed through allopolyploidization. Synthetic hexaploid wheats (SHW) have been created in breeding programs through the intentional crossing of tetraploid and diploid species. In this study, quantitative genetics tools developed to predict cross performance within a species were applied to predict the phenotypes of SHW for four major quantitatively inherited diseases using the data contained in this dataset. The results of the analysis are presented in the accompanying article.

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Bibliographic Details
Main Authors: Dreisigacker, Susanne, Martini, Johannes W. R., Cuevas, Jaime, Pérez-Rodríguez, Paulino, Lozano-Ramírez, Nerida, Huerta, Julio, Singh, Pawan, Crespo-Herrera, Leonardo, Bentley, Alison, Crossa, Jose
Other Authors: Dreher, Kate
Format: Experimental data biblioteca
Language:English
Published: CIMMYT Research Data & Software Repository Network 2023
Subjects:Agricultural Sciences, Plant Breeding, Septoria nodorum blotch severity, Spot bloth severity, Tan spot severity, Leaf rust severity, Agricultural research, Triticum aestivum, Wheat,
Online Access:https://hdl.handle.net/11529/10548948
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spelling dat-cimmyt-11529105489482023-11-12T02:00:05ZReplication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental poolshttps://hdl.handle.net/11529/10548948Dreisigacker, SusanneMartini, Johannes W. R.Cuevas, JaimePérez-Rodríguez, PaulinoLozano-Ramírez, NeridaHuerta, JulioSingh, PawanCrespo-Herrera, LeonardoBentley, AlisonCrossa, JoseCIMMYT Research Data & Software Repository NetworkInterspecific hybrids can be formed through allopolyploidization. Synthetic hexaploid wheats (SHW) have been created in breeding programs through the intentional crossing of tetraploid and diploid species. In this study, quantitative genetics tools developed to predict cross performance within a species were applied to predict the phenotypes of SHW for four major quantitatively inherited diseases using the data contained in this dataset. The results of the analysis are presented in the accompanying article.Agricultural SciencesPlant BreedingSeptoria nodorum blotch severitySpot bloth severityTan spot severityLeaf rust severityAgricultural researchTriticum aestivumWheatEnglish2023Dreher, KateCGIAR Research Program on Wheat (WHEAT)Genetic Resources Program (GRP)Global Wheat Program (GWP)Bill and Melinda Gates Foundation (BMGF)United States Agency for International Development (USAID)Biometrics and Statistics Unit (BSU)CGIARAccelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG)Experimental dataPhenotypic dataGenotypic data
institution CIMMYT
collection Dataverse
country México
countrycode MX
component Datos de investigación
access En linea
En linea
databasecode dat-cimmyt
tag biblioteca
region America del Norte
libraryname Centro Internacional de Mejoramiento de Maíz y Trigo
language English
topic Agricultural Sciences
Plant Breeding
Septoria nodorum blotch severity
Spot bloth severity
Tan spot severity
Leaf rust severity
Agricultural research
Triticum aestivum
Wheat
Agricultural Sciences
Plant Breeding
Septoria nodorum blotch severity
Spot bloth severity
Tan spot severity
Leaf rust severity
Agricultural research
Triticum aestivum
Wheat
spellingShingle Agricultural Sciences
Plant Breeding
Septoria nodorum blotch severity
Spot bloth severity
Tan spot severity
Leaf rust severity
Agricultural research
Triticum aestivum
Wheat
Agricultural Sciences
Plant Breeding
Septoria nodorum blotch severity
Spot bloth severity
Tan spot severity
Leaf rust severity
Agricultural research
Triticum aestivum
Wheat
Dreisigacker, Susanne
Martini, Johannes W. R.
Cuevas, Jaime
Pérez-Rodríguez, Paulino
Lozano-Ramírez, Nerida
Huerta, Julio
Singh, Pawan
Crespo-Herrera, Leonardo
Bentley, Alison
Crossa, Jose
Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools
description Interspecific hybrids can be formed through allopolyploidization. Synthetic hexaploid wheats (SHW) have been created in breeding programs through the intentional crossing of tetraploid and diploid species. In this study, quantitative genetics tools developed to predict cross performance within a species were applied to predict the phenotypes of SHW for four major quantitatively inherited diseases using the data contained in this dataset. The results of the analysis are presented in the accompanying article.
author2 Dreher, Kate
author_facet Dreher, Kate
Dreisigacker, Susanne
Martini, Johannes W. R.
Cuevas, Jaime
Pérez-Rodríguez, Paulino
Lozano-Ramírez, Nerida
Huerta, Julio
Singh, Pawan
Crespo-Herrera, Leonardo
Bentley, Alison
Crossa, Jose
format Experimental data
topic_facet Agricultural Sciences
Plant Breeding
Septoria nodorum blotch severity
Spot bloth severity
Tan spot severity
Leaf rust severity
Agricultural research
Triticum aestivum
Wheat
author Dreisigacker, Susanne
Martini, Johannes W. R.
Cuevas, Jaime
Pérez-Rodríguez, Paulino
Lozano-Ramírez, Nerida
Huerta, Julio
Singh, Pawan
Crespo-Herrera, Leonardo
Bentley, Alison
Crossa, Jose
author_sort Dreisigacker, Susanne
title Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools
title_short Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools
title_full Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools
title_fullStr Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools
title_full_unstemmed Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools
title_sort replication data for: genomic prediction of synthetic hexaploid wheat upon tetraploid durum and diploid aegilops parental pools
publisher CIMMYT Research Data & Software Repository Network
publishDate 2023
url https://hdl.handle.net/11529/10548948
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