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5,341 to 5,350 of 10,684 Results
corr.pdf
corr.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 33.6 KB - MD5: 64063e4a4316d978f9dbd644436a2ae8
covar.pdf
covar.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 58.9 KB - MD5: b6944e77815cdcc88129d67080d06c86
Egain.pdf
Egain.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 112.1 KB - MD5: 19cdd20578febce30678d5907693d227
ejemplo_real.RData
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Gzip Archive - 16.8 MB - MD5: 97d736e686ca5d7daa4940542bd8cfac
IbvsSI.pdf
IbvsSI.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 90.1 KB - MD5: 40bc651bceb877144452ddab9a108e5e
Predbp.pdf
Predbp.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 49.3 KB - MD5: b5dfa5694922106d5896a86b89311b2f
PredHdens.pdf
PredHdens.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 736.7 KB - MD5: fb30578f7c8cd83077417153fad1beb3
Response.pdf
Response.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 33.7 KB - MD5: 676d07ecee1bec2b64a41b651b7da334
seltraits.pdf
seltraits.pdf
Apr 9, 2021 - Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Adobe PDF - 153.9 KB - MD5: 49c80b36939527516e3942e254dc28d6
Weed management by tillage by site interaction experiment in Oaxaca, Mexico
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...
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