6,001 to 6,010 of 10,686 Results
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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May 11, 2020 -
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 2.5 MB -
MD5: 9d873b57d20f72adfbf225eee4cf16bb
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May 11, 2020 -
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 1.6 MB -
MD5: 1c32020102b2bbfe39fe2879406d2751
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May 11, 2020 -
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 2.1 MB -
MD5: 2ccb53778b6ca90047dfaa4d83736894
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May 11, 2020 -
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 1.7 MB -
MD5: 3db2209a430a3845ac6da449c513c89e
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May 11, 2020 -
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
MS Word - 19.0 KB -
MD5: 4a218d08b24b5242be3c5eae68a4a002
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May 11, 2020
Verhulst, Nele; Fonteyne, Simon; Govaerts, Bram, 2020, "Weed biomass and density in a long-term conservation agriculture experiment in Mexico", https://hdl.handle.net/11529/10548424, CIMMYT Research Data & Software Repository Network, V1, UNF:6:EepGezhFFmeO0+WVXGXptw== [fileUNF]
Weed management can be one of the main challenges when adopting conservation agriculture. Although all three components of conservation agriculture (minimal tillage, permanent soil cover and crop diversification) can have a reducing effect on weed populations, these effects may o... |
May 11, 2020 -
Weed biomass and density in a long-term conservation agriculture experiment in Mexico
Tabular Data - 2.5 KB - 2 Variables, 72 Observations - UNF:6:EepGezhFFmeO0+WVXGXptw==
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May 2, 2020
Villar-Hernández, Bartolo de Jesús; Crossa, Jose; Pérez-Elizalde, Sergio; García-Calvillo, Irma Delia; Toledo, Fernando; Pérez-Rodríguez, Paulino, 2020, "Replication Data for: Multi-trait Bayesian decision for parental selection", https://hdl.handle.net/11529/10548420, CIMMYT Research Data & Software Repository Network, V1
The files included in this study contains the data used with three promising multivariate loss functions: Kullback-Leibler (KL); the Energy Score; and the Multivariate Asymmetric Loss (MALF); to select the best performing parents for the next breeding cycle in two extensive real... |
Gzip Archive - 4.3 MB -
MD5: b30d62bcacda42d2be58941ecf8a829a
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