8,531 to 8,540 of 13,434 Results
Feb 4, 2020 -
Replication Data for: Rubisco activation by wheat Rubisco activase isoform 2β is insensitive to inhibition by ADP
7Z Archive - 50.2 KB -
MD5: 85d6cfd08177748dc9c76736a951d8db
The Triticum aestivum (wheat) genome encodes for three Rca protein isoforms: TaRca1β, TaRca2β and TaRca2α (Carmo-Silva et al. 2015 Plant Cell Environ.). In this study (Perdomo et al. 2019 Biochemical Journal), the regulatory properties of these three wheat Rca isoforms were chara... |
Feb 2, 2020 - CIMMYT Research Data
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... |
Feb 2, 2020 -
Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017
Plain Text - 8.1 KB -
MD5: 115abc910a0141513357e4ca88d12d9b
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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 |
Feb 2, 2020 -
Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017
Adobe PDF - 217.3 KB -
MD5: 6f71734c753c4a21e0e0716b02872409
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Jan 31, 2020 - CIMMYT Research Data
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... |
Jan 31, 2020 -
Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 75.7 KB -
MD5: a6b3b1fa603556adf6b63a729ee3eee4
EYT2011-12 data |
Jan 31, 2020 -
Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 102.1 KB -
MD5: b64179214aa8c9e009cbb1d7ec4c5691
EYT2011-12 data |
Jan 31, 2020 -
Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 99.3 KB -
MD5: 7e2e83336f4a2af633e6383a48457bf2
EYT2011-12 data |
Jan 31, 2020 -
Genomic selection models based on integration of GWAS loci and epistatic interactions
Gzip Archive - 93.5 KB -
MD5: de399e09920c862b61efff29af894b5e
EYT2014-15 data |
