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21 to 30 of 40 Results
Dataset / Software
Dec 6, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2019, "39th International Bread Wheat Screening Nursery", hdl:11529/10548325, CIMMYT Research Data & Software Repository Network, V1, UNF:6:3QNLDFRL8Jg0Mu9+r2Pu7g==
The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility...
Dataset / Software
Dec 6, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2019, "40th International Bread Wheat Screening Nursery", hdl:11529/10548326, CIMMYT Research Data & Software Repository Network, V1, UNF:6:I8lF3lP8jgbyptfdcLVJow==
The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility...
Dataset / Software
Dec 6, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2019, "41st International Bread Wheat Screening Nursery", hdl:11529/10548327, CIMMYT Research Data & Software Repository Network, V1, UNF:6:c6uh5JhZqVdTsTjNIByW8Q==
The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility...
Dataset / Software
Aug 29, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Reynolds, Matthew; Payne, Thomas, 2019, "4th Wheat Yield Collaboration Yield Trial", hdl:11529/10548294, CIMMYT Research Data & Software Repository Network, V1
The WYCYT international nurseries are the result of research conducted to raise the yield potential of spring wheat through the strategic crossing of physiological traits related to source and sink potential in wheat. These trials have been phenotyped in the major wheat-growing m...
Dataset / Software
Nov 11, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2019, "51st International Bread Wheat Screening Nursery", hdl:11529/10548328, CIMMYT Research Data & Software Repository Network, V1
The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility...
Dataset / Software
May 13, 2019 - CIMMYT Research Data
Dreisigacker, Susanne, 2019, "52IBWSN, 37SAWSN, and 30HRWSN - Gene-based marker data for marker-assisted selection", hdl:11529/10548187, CIMMYT Research Data & Software Repository Network, V1
Gene-based marker data from international screening nurseries for marker-assisted selection.
Dataset / Software
Aug 15, 2019 - CIMMYT Research Data
Crossa, Jose; Martini, Johannes; Gianola, Daniel; Pérez-Rodríguez, Paulino; Burgueño, Juan; Singh, Ravi; Juliana, Philomin; Montesinos-López, Osval; Cuevas, Jaime, 2019, "Deep kernel and deep learning for genomic-based prediction", hdl:11529/10548273, CIMMYT Research Data & Software Repository Network, V1
Deep learning (DL) is a promising method in the context of genomic prediction for selecting individuals early in time without measuring their phenotypes. iI this paper we compare the performance in terms of genome-based prediction of the DL method, deep kernel (arc-cosine kernel,...
Dataset / Software
Jul 18, 2019 - CIMMYT Research Data
Cuevas, Jaime; Montesinos-López, Osval A; Juliana, Philomin; Pérez-Rodríguez, Paulino; Burgueño, Juan; Guzman, Carlos; Montesinos-López, Abelardo; Crossa, Jose, 2019, "Deep kernel of genomic and near infrared predictions in multi-environment breeding trials", hdl:11529/10548180, CIMMYT Research Data & Software Repository Network, V4
In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel met...
Dataset / Software
Sep 2, 2019 - CIMMYT Research Data
Mondal, Suchismita; Dutta, Somak; Crespo-Herrera, Leonardo; Huerta-Espino, Julio; Braun, Hans J.; Singh, Ravi, 2019, "Fifty years of semi-dwarf spring wheat breeding at CIMMYT: Grain yield progress in optimum, drought and heat stress environments", hdl:11529/10548299, CIMMYT Research Data & Software Repository Network, V1
This dataset provides supplementary files related to fifty years of semi-dwarf spring wheat breeding at CIMMYT: Grain yield progress in optimum, drought and heat stress environments.
Dataset / Software
Feb 27, 2019 - CIMMYT Research Data
Liu, Caiyun; Sukumaran, Sivakumar; Claverie, Etienne; Sansaloni, Carolina; Dreisigacker, Susanne; Reynolds, Matthew , 2019, "Genetic and phenotypic data of Syn/Weebil recombinant inbred lines under drought and heat stresses", hdl:11529/10548170, CIMMYT Research Data & Software Repository Network, V1
We studied a RIL population of 276 entries derived from a cross between SYN-D × Weebill 1. SYN-D (Croc 1/Aegilops Squarrosa (224)//Opata) is a synthetic derived hexaploid wheat with dark green broad leaves without wax. The RILs did not segregate for Rht-B1, Rht-D1, Ppd-A1, Ppd-D1...
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