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7,181 to 7,190 of 13,456 Results

AP06 Chasing wheat yields in challenging environments Oct 20, 2020 - International Wheat Yield Partnership Research Data Barnard, Annelie, 2020, "AP06 Chasing wheat yields in challenging environments", https://hdl.handle.net/11529/10548421, CIMMYT Research Data & Software Repository Network, V1, UNF:6:jT9p2RrZEAxsc3QR1QJn8A== [fileUNF] This project makes use of known cloned yield component markers (targeted from Literature), in an attempt to accumulated favourable alleles to increase yield. The traits targeted to date are, grain size, TKM, grain number and tiller number. Recently, new root phenotyping methods w...
Data_AP06_molecular data.tab Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments Tabular Data - 8.4 KB - 27 Variables, 56 Observations - UNF:6:BL6KVaCVk4x2exkqB3SLmg== Molecular data from AP06
Data_AP06_nomenclature.tab Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments Tabular Data - 586 B - 1 Variables, 12 Observations - UNF:6:zzdzfFfNs35E9ySN1WV6lQ== Nomenclature
Data_AP06_yield data.tab Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments Tabular Data - 8.0 KB - 17 Variables, 35 Observations - UNF:6:eToQPxpudNrl8ADE6hiKXA== Yield data from AP06
Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm Oct 18, 2020 - CIMMYT Research Data Kibe, Maguta; Nair, Sudha; Das, Biswanath; Jumbo, MacDonald Bright; Makumbi, Dan; Kinyua, Johnson; Suresh, L.M.; Beyene, Yoseph; Olsen, Michael; Prasanna, B.M.; Gowda, Manje, 2020, "Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm", https://hdl.handle.net/11529/10548467, CIMMYT Research Data & Software Repository Network, V1 Gray leaf spot (GLS) is a major maize foliar disease in sub-Saharan Africa that can substantially reduce yields for farmers. This dataset contains supporting phenotypic and genotypic data used in the analysis of the genetic architecture of GLS resistance in maize. The data in thi...
GBS_SNPs_3_DH_pops_combined.hmp.txt.gz Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm Gzip Archive - 63.4 MB - MD5: f99e30e6e9fa8e2047aa421228a6e7c6
Phenotypic_data_IMAS_DHpops.xlsx.gz Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm Gzip Archive - 26.8 MB - MD5: d9906ce41371e45638bf0df3497c647e Phenotypic data and genotypic related to IMAS materials, Doubled Haploid Populations and F3 populations
V2.7 Build_IMAS 424 Samples.hmp.txt.gz Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm Gzip Archive - 76.3 MB - MD5: 6a290828a3545fdaf29eeef3876a98fd IMAS genotypic data
Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico Oct 16, 2020 - CIMMYT Research Data Sukumaran, Sivakumar; Crossa, Jose; Jarquín, Diego; Lopes, Marta; Reynolds, Matthew P., 2016, "Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico", https://hdl.handle.net/11529/10714, CIMMYT Research Data & Software Repository Network, V3 Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines...
WAMI PHENOTYPIC AND MARKER DATA.zip.gz Oct 16, 2020 - Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico Gzip Archive - 3.8 MB - MD5: 58ed72fb2f0cc5ee413a04bee137d0e4

AP06 Chasing wheat yields in challenging environments

Oct 20, 2020 - International Wheat Yield Partnership Research Data

Barnard, Annelie, 2020, "AP06 Chasing wheat yields in challenging environments", https://hdl.handle.net/11529/10548421, CIMMYT Research Data & Software Repository Network, V1, UNF:6:jT9p2RrZEAxsc3QR1QJn8A== [fileUNF]

This project makes use of known cloned yield component markers (targeted from Literature), in an attempt to accumulated favourable alleles to increase yield. The traits targeted to date are, grain size, TKM, grain number and tiller number. Recently, new root phenotyping methods w...

Data_AP06_molecular data.tab

Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments

Tabular Data - 8.4 KB - 27 Variables, 56 Observations -

Molecular data from AP06

Data_AP06_nomenclature.tab

Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments

Tabular Data - 586 B - 1 Variables, 12 Observations -

Nomenclature

Data_AP06_yield data.tab

Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments

Tabular Data - 8.0 KB - 17 Variables, 35 Observations -

Yield data from AP06

Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm

Oct 18, 2020 - CIMMYT Research Data

Kibe, Maguta; Nair, Sudha; Das, Biswanath; Jumbo, MacDonald Bright; Makumbi, Dan; Kinyua, Johnson; Suresh, L.M.; Beyene, Yoseph; Olsen, Michael; Prasanna, B.M.; Gowda, Manje, 2020, "Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm", https://hdl.handle.net/11529/10548467, CIMMYT Research Data & Software Repository Network, V1

Gray leaf spot (GLS) is a major maize foliar disease in sub-Saharan Africa that can substantially reduce yields for farmers. This dataset contains supporting phenotypic and genotypic data used in the analysis of the genetic architecture of GLS resistance in maize. The data in thi...

GBS_SNPs_3_DH_pops_combined.hmp.txt.gz

Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm

Gzip Archive - 63.4 MB -

Phenotypic_data_IMAS_DHpops.xlsx.gz

Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm

Gzip Archive - 26.8 MB -

Phenotypic data and genotypic related to IMAS materials, Doubled Haploid Populations and F3 populations

V2.7 Build_IMAS 424 Samples.hmp.txt.gz

Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm

Gzip Archive - 76.3 MB -

IMAS genotypic data

Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico

Oct 16, 2020 - CIMMYT Research Data

Sukumaran, Sivakumar; Crossa, Jose; Jarquín, Diego; Lopes, Marta; Reynolds, Matthew P., 2016, "Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico", https://hdl.handle.net/11529/10714, CIMMYT Research Data & Software Repository Network, V3

Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines...

WAMI PHENOTYPIC AND MARKER DATA.zip.gz

Oct 16, 2020 - Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico

Gzip Archive - 3.8 MB -

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