91 to 100 of 372 Results
Nov 22, 2024 - CIMMYT Research Data
Odjo, Sylvanus; Verhulst, Nele, 2024, "Data for: Hermetic bags minimize postharvest loss during at least four successive cycles of storage in Mexican highlands", https://hdl.handle.net/11529/10549123, CIMMYT Research Data & Software Repository Network, V1
CIMMYT implemented a study at its station in Texcoco to compare the effectiveness of 5 different storage technologies in minimizing grain loss during four consecutive storage cycles. In each storage cycle, the conventional practice of farmers in the area, polypropylene bag, was c... |
Nov 22, 2024 -
Data for: Hermetic bags minimize postharvest loss during at least four successive cycles of storage in Mexican highlands
MS Excel Spreadsheet - 15.5 KB -
MD5: 911e90de9cb317dbd43455b3fe721f6b
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MS Excel Spreadsheet - 26.0 KB -
MD5: dd563248cd46a62c7ce15be01c9b726e
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MS Excel Spreadsheet - 40.4 KB -
MD5: 9472b8a0d72ee5202c90c308006e9ad0
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MS Excel Spreadsheet - 297.6 KB -
MD5: c9f923e85fa5879e42fc473ee34ddb84
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MS Excel Spreadsheet - 188.0 KB -
MD5: 4d1669fde52782c0f46d1faddd170185
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Nov 9, 2024 - CIMMYT Research Data
Cuevas, Jaime; Martini, Johannes Wolfgang Robert; Otegón, Jaime; Vitale, Paolo; Gerard, Guillermo; Montesinos-López, Abelardo; Dreisigacker, Susanne; Saint Pierre, Carolina; Crespo Herrera, Leonardo Abdiel; Pérez-Rodríguez, Paulino; Montesinos-López, Osval A.; Crossa, Jose, 2024, "Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices", https://hdl.handle.net/11529/10549160, CIMMYT Research Data & Software Repository Network, V1
Breeding analyses may include pedigree information and genotypic data. The wheat data in this dataset were used to asssess the accuracy of genomic predictons when the pedigree or genetic similarity matrix is combined with the genomic similarity matrix. This study included 5 singl... |
R Data - 8.2 MB -
MD5: a3dccf2f19d0c0746d219c6704f60aa5
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R Data - 8.4 MB -
MD5: 9afc80c98a76022250fdb8d319f717d7
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R Data - 8.4 MB -
MD5: b58c9794e0a01036b115e5662bb16076
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