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5,991 to 6,000 of 10,684 Results
Molecular characterization of modern durum wheat Mediterranean landraces and modern cultivars with molecular markers associated to vernalization response (Vrn-1) and photoperiod sensitivity (Ppd-1) genes
May 19, 2020
Royo, Conxita; Dreisigacker, Susanne; Soriano, Jose Miguel; Lopes, Marta Silva; Ammar, Karim; Villegas, Dolores, 2020, "Molecular characterization of modern durum wheat Mediterranean landraces and modern cultivars with molecular markers associated to vernalization response (Vrn-1) and photoperiod sensitivity (Ppd-1) genes", https://hdl.handle.net/11529/10548410, CIMMYT Research Data & Software Repository Network, V2
We characterized a panel of 151 durum wheat Mediterranean landraces and 20 modern cultivars via a series of molecular markers associated with Vrn-1 and Ppd-1 genes. The molecular data were used estimate the effects of the observed alleles on the time needed to reach six different...
Molecular characterization_raw data_corrected.xlsx.gz
May 19, 2020 - Molecular characterization of modern durum wheat Mediterranean landraces and modern cultivars with molecular markers associated to vernalization response (Vrn-1) and photoperiod sensitivity (Ppd-1) genes
Gzip Archive - 30.0 KB - MD5: c2e462516157fe4a8852e8642658b5b5
DataGenotypic data
Molecular characterization of durum wheat landraces
Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
May 15, 2020
Mageto, Edna K.; Crossa, Jose; Pérez-Rodríguez, Paulino; Dhliwayo, Thanda; Palacios-Rojas, Natalia; Lee, Michael; Guo, Rui; San Vicente, Félix; Zhang, Xuecai; Hindu, Vemuri, 2020, "Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm", https://hdl.handle.net/11529/10548331, CIMMYT Research Data & Software Repository Network, V1
The Zinc association mapping (ZAM) panel is a set of 923 elite inbred lines from the International Maize and Wheat Improvement Center (CIMMYT) biofortification breeding program. The panel represented wide genetic diversity for kernel Zn and is comprised of several lines with tole...
DH population1_phenotypic data.txt
May 15, 2020 - Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
Plain Text - 36.4 KB - MD5: 70acf17275fb920fb5ddb40d622bc905
DH population2_phenotypic data.txt
May 15, 2020 - Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
Plain Text - 30.7 KB - MD5: 18545696b63598297291d58c3b7a6663
DH populations1&2_255_LINES_GENO.hmp.txt.zip
May 15, 2020 - Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
ZIP Archive - 8.8 MB - MD5: 7e151ae97f4bb4e789f2a2ce7a97835e
ZAM Panel_923_LINES_GENO.hmp.txt.zip
May 15, 2020 - Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
ZIP Archive - 169.8 MB - MD5: 6acfaa224fdca4c850805a7d2d121395
Genotypic data with marker coordinates provided for the B73_RefGen v.2
Zinc association mapping (ZAM) panel_phenotypic data.zip
May 15, 2020 - Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
ZIP Archive - 27.0 KB - MD5: f90e1fc0dd13a308c92468e5e6101b87
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
May 11, 2020
Ibba, Maria Itria; Crossa, Jose; Montesinos-López, Osval A.; Montesinos-López, Abelardo; Juliana, Philomin; Guzman, Carlos; Dolorean, Emily; Dreisigacker, Susanne; Poland, Jesse, 2020, "Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years", https://hdl.handle.net/11529/10548423, CIMMYT Research Data & Software Repository Network, V1
The use of genomic prediction could greatly help to increase the efficiency of selecting for wheat quality traits by reducing the cost and time required for this analysis. This study contains data used to evaluate the prediction performances of 13 wheat quality traits under two m...
Data_YT - C49IBWSN Y. 13-14.RData.gz
May 11, 2020 - Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 2.8 MB - MD5: 2215ec8a5952d844cadaf76652f7315c
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