10,211 to 10,220 of 13,433 Results
Oct 26, 2018 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Lillemo, Morten; Juliana, Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", https://hdl.handle.net/11529/10548141, CIMMYT Research Data & Software Repository Network, V1
A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data. |
Oct 26, 2018 -
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 4.3 MB -
MD5: d89c19aa2d574666d7e60b00be99d867
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Oct 26, 2018 -
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 4.4 MB -
MD5: 648b8504a29690109dbbb2c93c4adbcd
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Oct 26, 2018 -
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 6.8 MB -
MD5: 170f30875373b5db186a0a854ab30d2a
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Oct 26, 2018 -
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 7.0 MB -
MD5: 7eadf14b110d8863226ec817e7c0c577
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Oct 26, 2018 -
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 374.3 KB -
MD5: e3954a629bc843561362f80d8e09a90c
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Oct 26, 2018 -
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 41.1 MB -
MD5: fd6c1e6305f656eb8476209bba629a03
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Oct 26, 2018 -
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 458.8 KB -
MD5: bdebf18268314e8e14812abb2b1751d0
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Oct 26, 2018 - CIMMYT Research Software
Pacheco-Gil, Rosa Ángela; Rodríguez, Francisco; Alvarado, Gregorio; Burgueño, Juan, 2017, "ADEL-R. Analysis and design of experiments with R for Windows. Version 2.0", https://hdl.handle.net/11529/10857, CIMMYT Research Data & Software Repository Network, V3
ADEL-R is a set of R programs that create and analyze experimental designs, in order to make field books and map fields when you create a design and if you analyze a design you can obtain the ANOVA table and comparison means graph. ADEL-R analyze designs like: random complete blo... |
Windows Executable - 307.1 MB -
MD5: 90afaca602228cc3eafb8e2fcb3ea427
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