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2,241 to 2,250 of 12,512 Results
Maize_2.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 8.9 MB - MD5: af21e19c46cf7b0d28a6c36cccaecc87
Data
Maize_3.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 8.9 MB - MD5: 273638db5a9f1a34a119addcf50d6c24
Data
Maize_4.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 8.8 MB - MD5: 9b3304f128d193db9030d6c7cbbe72cb
Data
Maizev_1.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 14.0 MB - MD5: a50c1bc526d0b152bd3e6da9149c6e84
Data
Soybean_1.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 8.2 MB - MD5: d704b5c4a6ca891b2cf5d849d633e2fb
Data
soybean_2.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 3.9 MB - MD5: abbcb6a96b18b4a0eef283dee7d6d7b0
Data
Soybean_3.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 77.4 KB - MD5: 4a209cd6ed314bcaab357b0cdf2c2154
Data
Soybean_4.RData
Sep 22, 2023 - Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
R Data - 52.7 KB - MD5: c7fe8b35d6bdfdcf2231b672f042e52c
Replication Data for: Exotic alleles contribute to heat tolerance in wheat under field conditions
Aug 11, 2023 - CIMMYT Research Data
Molero, Gemma; Coombes, Benedict; Joynson, Ryan; Pinto, Francisco; Piñera Chávez, Francisco Javier; Rivera Amado, Alma Carolina; Hall, Anthony; Reynolds, Matthew, 2023, "Replication Data for: Exotic alleles contribute to heat tolerance in wheat under field conditions", https://hdl.handle.net/11529/10548924, CIMMYT Research Data & Software Repository Network, V1
Plant breediers must respond to the threats posed by climate change in order to help ensure global food security in the short and long term. A better understanding of the genetic underpinnings of heat tolerance can contribute to efforts to develop more resilient crops. The exome...
HiBAP_100_PRO1945_S13_TATCAGCA-ACATTGGC_L004_R1.fastq.gz
Aug 11, 2023 - Replication Data for: Exotic alleles contribute to heat tolerance in wheat under field conditions
Gzip Archive - 4.9 GB - MD5: 267f9801f27ad3371b249a8d652d9aae
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