491 to 500 of 954 Results
Apr 21, 2021
Dreisigacker, Susanne; Bonnett, David; Crossa, Jose; Poland, Jesse, 2015, "17th Semi-Arid Wheat Yield Trial Genotyping-by-sequencing Data", https://hdl.handle.net/11529/10376, CIMMYT Research Data & Software Repository Network, V4, UNF:6:Gf1I3BfBW+GM9NXh7VSQRw== [fileUNF]
^^ |
Apr 21, 2021
Dreisigacker, Susanne, 2015, "15th Semi-Arid Wheat Yield trial marker-assisted selection data", https://hdl.handle.net/11529/10420, CIMMYT Research Data & Software Repository Network, V3, UNF:6:prjUORUEQEZyByq6iyDEag== [fileUNF]
^^ |
Apr 21, 2021
Dreisigacker, Susanne, 2015, "13th Semi-Arid Wheat Yield trial marker-assisted selection data", https://hdl.handle.net/11529/10418, CIMMYT Research Data & Software Repository Network, V3, UNF:6:odEorFqa8UiCjhqSfDi3aQ== [fileUNF]
^^ |
Apr 21, 2021
Dreisigacker, Susanne, 2015, "16th Semi-Arid Wheat Yield trial marker-assisted selection data", https://hdl.handle.net/11529/10421, CIMMYT Research Data & Software Repository Network, V3, UNF:6:i92zB5xt6knsXaWS3XBv0Q== [fileUNF]
^^ |
Apr 21, 2021
Dreisigacker, Susanne, 2015, "17th Semi-Arid Wheat Yield trial marker-assisted selection data", https://hdl.handle.net/11529/10412, CIMMYT Research Data & Software Repository Network, V5, UNF:6:FKt+1LIcap1MjJ+8vwVZng== [fileUNF]
17th Semi-Arid Wheat Yield trial marker-assisted selection data |
Apr 15, 2021
Verhulst, Nele; Odjo, Sylvanus; Palacios, Natalia, 2021, "Data for: Hermetic storage technologies preserve maize seed quality and minimize grain quality loss in smallholder farming systems in Mexico", https://hdl.handle.net/11529/10548569, CIMMYT Research Data & Software Repository Network, V1, UNF:6:tMRAHkVtYu+mU0U5kzFcyw== [fileUNF]
Odjo et al. (2020) reported results on the effect of different storage technologies on postharvest losses of maize. CIMMYT and its network of collaborators implemented a second part of these experiments in 2017 and 2018 to evaluate the effect of different storage storages technol... |
Apr 9, 2021
Cerón-Rojas, J. Jesus; Perez-Elizalde, Sergio; Crossa, Jose; Martini, Johannes Wolfgang Robert, 2021, "Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit", https://hdl.handle.net/11529/10548567, CIMMYT Research Data & Software Repository Network, V1
In breeding, the plant net genetic merit may be predicted through the linear phenotypic selection index (LPSI). This paper associated with this dataset proposes a Bayesian LPSI (BLPSI). The supplemental files provided in this dataset include data that were used to compare the two... |
Apr 9, 2021
Verhulst, Nele; Fonteyne, Simon; Leal Gonzalez, Abel Jaime, 2021, "Weed management by tillage by site interaction experiment in Oaxaca, Mexico", https://hdl.handle.net/11529/10548568, CIMMYT Research Data & Software Repository Network, V1, UNF:6:hu0qohjWI53q6ZnI87Pexg== [fileUNF]
The experiment was conducted in 2016 and 2017 in three regions in Oaxaca, Mexico. The design of the study was to evaluate fifteen combinations of tillage and weed management practices at each of the three sites, with each trial consisting of three blocks with a different type of... |
Apr 9, 2021
Zhang, Xuecai; Olsen, Michael, 2016, "CIMMYT Maize Line genotypic profiles generated through genotyping-by-sequencing", https://hdl.handle.net/11529/10423, CIMMYT Research Data & Software Repository Network, V2, UNF:6:6WoOmAxMCD8et5NNCpu/BQ== [fileUNF]
CIMMYT Maize Lines (CMLs) are the elite inbred lines released by CIMMYT to collaborators around the world and to the general public each year. Genetic fingerprints of 538 CML lines were generated by genotyping-by-sequencing at the Genomic Diversity Facility at Cornell University... |
Mar 23, 2021
Makumbi, Dan; Prasanna, B.M., 2021, "Performance of maize inbred lines under artificial inoculation with aflatoxin", https://hdl.handle.net/11529/10548563, CIMMYT Research Data & Software Repository Network, V1
This dataset contains information about the performance of maize inbred lines in Eastern Africa following inoculation with aflatoxin. The aflatoxin-related traits described in the dataset are: AFLTXB1 = Aflatoxin B1; AFLTXB2 = Aflatoxin B2; AFLTXG1 = Aflatoxin G1; AFLTXG2 = Aflat... |
