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11 to 20 of 63 Results
Dataset / Software
May 2, 2019 - CIMMYT Research Data
Dreisigacker, Susanne, 2019, "Multiplication trial of the 49TH IBWSN – Gene-based marker data for marker-assisted selection", hdl:11529/10548171, CIMMYT Research Data & Software Repository Network, V2
The genotypes from the International Bread Wheat Screening Nursery (IBWSN) multiplication trial, which is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) that represents diversity for a wide range...
Dataset / Software
Aug 12, 2019 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Tuberosa, Roberto; Maccaferri, Marco; Sciara, Giuseppe; Ammar, Karim; Crossa, Jose, 2019, "Multi-trait multi-environment genomic prediction of durum wheat", hdl:11529/10548262, CIMMYT Research Data & Software Repository Network, V1
In this paper we cover multi-trait prediction of grain yield (GY), days to heading (DH) and plant height (PH) of 270 durum wheat lines that were evaluated in 43 environments (location-year combinations) in Bologna, Italy. The results of the multi-trait deep learning method also w...
Dataset / Software
Jun 7, 2019 - CIMMYT Research Data
Liu, Caiyun; Sukumaran, Sivakumar; Reynolds, Matthew, 2019, "Genetic data and the linkage map of Seri/Babax population", hdl:11529/10548196, CIMMYT Research Data & Software Repository Network, V1
These datasets include an updated linkage map for the Seri/Babax RIL population and the raw genotype data we used to construct the map. (1) We updated the genetic map of Seri/Babax population with 1748 non-redundant markers (1165 90K SNPs, 207 DArTseq SNPs, 183 AFLP, 111 DArT arr...
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
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
Nov 9, 2018 - CIMMYT Research Data
Granato, Italo; Cuevas, Jaime; Luna, Francisco; Crossa, José; Burgueño, Juan; Fritsche-Neto, Roberto, 2018, "BGGE: A new package for genomic prediction incorporating genotype by environments models", hdl:11529/10548107, CIMMYT Research Data & Software Repository Network, V5
One of the major issues in plant breeding is the occurrence of genotype by environment (GE) interaction. Several models have been created to understand this phenomenon and explore it by selecting the most stable genotypes. In the genomic era, several models were employed to simul...
Dataset / Software
Oct 26, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Lillemo, Morten; Juliana, Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", hdl:11529/10548141, CIMMYT Research Data & Software Repository Network, V1
A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.
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
Nov 22, 2018 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Ammar, Karim; Payne, Thomas, 2018, "50th International Durum Yield Nursery", hdl:11529/10548151, CIMMYT Research Data & Software Repository Network, V1
International Durum Yield Nurseries are replicated yield trials designed to measure the yiel d potential and adaptation of superior CIMMYT-bred spring durum wheat germplasm that have been developed from tests conducted under irrigation and induced stressed cropping conditions in...
Dataset / Software
Nov 6, 2018 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2018, "50th International Bread Wheat Screening Nursery", hdl:11529/10548147, 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...
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