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6,901 to 6,910 of 12,513 Results
13SAWYT_MAS_Germplasm_DOIs.tab
Apr 21, 2021 - 13th Semi-Arid Wheat Yield trial marker-assisted selection data
Tabular Data - 2.8 KB - 4 Variables, 49 Observations - UNF:6:odEorFqa8UiCjhqSfDi3aQ==
DOIs from the FAO GLIS (https://ssl.fao.org/glis/) for germplasm in the study
16th Semi-Arid Wheat Yield trial marker-assisted selection data
Apr 21, 2021 - CIMMYT Research Data
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]
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16SAWYT_MAS_Germplasm_DOIs.tab
Apr 21, 2021 - 16th Semi-Arid Wheat Yield trial marker-assisted selection data
Tabular Data - 2.2 KB - 4 Variables, 39 Observations - UNF:6:i92zB5xt6knsXaWS3XBv0Q==
DOIs from the FAO GLIS (https://ssl.fao.org/glis/) for germplasm in the study
17th Semi-Arid Wheat Yield trial marker-assisted selection data
Apr 21, 2021 - CIMMYT Research Data
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
17SAWYT_MAS_Germplasm_DOIs.tab
Apr 21, 2021 - 17th Semi-Arid Wheat Yield trial marker-assisted selection data
Tabular Data - 3.5 KB - 4 Variables, 49 Observations - UNF:6:FKt+1LIcap1MjJ+8vwVZng==
DOIs from the FAO GLIS (https://ssl.fao.org/glis/) for germplasm in the study
Data for: Hermetic storage technologies preserve maize seed quality and minimize grain quality loss in smallholder farming systems in Mexico
Apr 15, 2021 - CIMMYT Research Data
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...
AppendixB-CompleteDatabase-HermTechnQuality-20210413.tab
Apr 15, 2021 - Data for: Hermetic storage technologies preserve maize seed quality and minimize grain quality loss in smallholder farming systems in Mexico
Tabular Data - 100.0 KB - 53 Variables, 173 Observations - UNF:6:tMRAHkVtYu+mU0U5kzFcyw==
Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Apr 9, 2021 - CIMMYT Research Data
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...
BayesianLI_scaled.pdf
BayesianLI_scaled.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 377.0 KB - MD5: 7631e52687d4629d1fe272ff9adbf6aa
betas.pdf
betas.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 120.9 KB - MD5: cd93378904aaa152b493464ec5137031
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