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6,201 to 6,210 of 10,510 Results
T2_Kmega.csv.gz
Feb 14, 2020 - Sparse designs for genomic selection using multi-environment data
Gzip Archive - 3.8 KB - MD5: 30b7a81af3315fd151e9345bbcfa4e91
DataPhenotypic data
Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017
Feb 2, 2020
Molnar, Terence; Carvalho Andrade, Marcela; Burgueño, Juan; Crossa, Jose; Petroli, Cesar; Velazquez, Manuel; Sifuentes, Ernesto; Vidal, Victor; Moreno-Retis, Carlos; Moreno-Retis, Jose; Martinez, Ramon; Dupont Pioneer; Mezzalama, Monica; Hearne, Sarah, 2019, "Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017", https://hdl.handle.net/11529/10548360, CIMMYT Research Data & Software Repository Network, V3
These data describe the evaluation of landrace-derived pre-breeding materials for biotic and abiotic stress resistance as well as for general yield potential in 2017. Populations of interest for drought stress during flowering time, heat stress during flowering time, and Tar Spot...
2017_MCMV_data_dictionary.txt
Feb 2, 2020 - Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017
Plain Text - 8.1 KB - MD5: 115abc910a0141513357e4ca88d12d9b
Data dictionary
2017_trial_locations_v.2.0.txt
Feb 2, 2020 - Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017
Plain Text - 5.9 KB - MD5: 0f8d667f25782862733e23650fd5efe5
Basic description of the locations used and the treatments applied in each trial
MCMV_scoring_scale.pdf
Feb 2, 2020 - Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017
Adobe PDF - 217.3 KB - MD5: 6f71734c753c4a21e0e0716b02872409
Protocol
Genomic selection models based on integration of GWAS loci and epistatic interactions
Jan 31, 2020
Sehgal, Deepmala; Rosyara, Umesh; Mondal, Suchismita; Singh, Ravi; Poland, Jesse; Dreisigacker, Susanne, 2020, "Genomic selection models based on integration of GWAS loci and epistatic interactions", https://hdl.handle.net/11529/10548366, CIMMYT Research Data & Software Repository Network, V1
The potential to integrate consistent associations identified from GWAS as fixed variables in GP models to improve prediction accuracy for complex traits (for example, grain yield) has not been investigated comprehensively in wheat. Here, we untangled the genetic architecture of...
EYT2011-12.xlsx.gz
Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 75.7 KB - MD5: a6b3b1fa603556adf6b63a729ee3eee4
DataPhenotypic data
EYT2011-12 data
EYT2012-13.xlsx.gz
Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 102.1 KB - MD5: b64179214aa8c9e009cbb1d7ec4c5691
DataPhenotypic data
EYT2011-12 data
EYT2013-14.xlsx.gz
Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 99.3 KB - MD5: 7e2e83336f4a2af633e6383a48457bf2
DataPhenotypic data
EYT2011-12 data
EYT2014-15.xlsx.gz
Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 93.5 KB - MD5: de399e09920c862b61efff29af894b5e
DataPhenotypic data
EYT2014-15 data
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