4,061 to 4,070 of 12,708 Results
Aug 11, 2022 -
9th Helminthium Leaf Blight Screening Nursery
Gzip Archive - 45.5 KB -
MD5: 858673b69e0252d1a65221b1ce276385
Means of phenotypic data values for traits |
Aug 11, 2022 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Pawan; Payne, Thomas, 2020, "10th Helminthium Leaf Blight Screening Nursery", https://hdl.handle.net/11529/10548472, CIMMYT Research Data & Software Repository Network, V2
The Helminthium Leaf Blight Screening Nursery is a single replicate nursery that contains diverse spring bread wheat (Triticum aestivum) germplasm with total 50-100 entries and 2 REPs. |
Aug 11, 2022 -
10th Helminthium Leaf Blight Screening Nursery
Gzip Archive - 39.5 KB -
MD5: 4234db67f3e771d2e1aaaf0fc939bc6c
Means of phenotypic data values for traits |
Aug 11, 2022 -
12th Helminthium Leaf Blight Screening Nursery
Gzip Archive - 65.3 KB -
MD5: 4712f36a59b55050962a4f90524d2c1c
An empty Fieldbook designed for collecting trial data |
Aug 11, 2022 - CIMMYT Research Data
Cuevas, Jaime; Reslow, Fredrik; Crossa, Jose; Ortiz, Rodomiro, 2022, "Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.)", https://hdl.handle.net/11529/10548784, CIMMYT Research Data & Software Repository Network, V1
Genomic prediction (GP) can be used in the breeding of polysomic polyploid plant species. Different models can be used to generate the genomic prediction including single trait and multi-trait models. The data provided in this dataset were used to investigate the accuracy of four... |
R Data - 462.8 KB -
MD5: d95cf1b8d7f4ef5e2ba9596994de3f45
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R Data - 562.1 KB -
MD5: 42227b92d67472bc2be1dc6d3a48ba67
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R Data - 65.0 KB -
MD5: 8874f51ef1f1371b23dd5a63c1daabfe
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Aug 10, 2022 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Cano-Paez, Bernabé; Hernández-Suarez, Carlos Moisés; Santana Mancilla, Pedro Cesar; Crossa, Jose, 2022, "Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library", https://hdl.handle.net/11529/10548728, CIMMYT Research Data & Software Repository Network, V3
Genomic selection (GS) provides a new way for plant breeders select the best genotype. It draws upon historical phenotypic and genotypic information for training a statistical machine learning model which is used for predicting phenotypic (or breeding) values of new lines for whi... |
MS Word - 401.8 KB -
MD5: 437611ef7d5c9eabe9aed1ce7dfb52a3
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