5,201 to 5,210 of 10,528 Results
Mar 2, 2021 -
Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction
Gzip Archive - 44.7 KB -
MD5: 8bc27d071addf4b9279213b300e131be
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Mar 2, 2021 -
Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction
Gzip Archive - 47.2 KB -
MD5: d9447fcd0702b1acd481c75e70313ee1
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Mar 2, 2021 -
Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction
Gzip Archive - 46.0 KB -
MD5: 5b78438dda4b07d6ddc33cb24423450a
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Mar 2, 2021 -
Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction
Gzip Archive - 1.3 MB -
MD5: fd6facd59a90d11feae3cd88c1661d4e
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Mar 2, 2021 -
Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction
Gzip Archive - 1.3 MB -
MD5: eaf0714da01a5cc11b678fb50c27f5c1
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Mar 2, 2021 -
Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction
Gzip Archive - 1.9 MB -
MD5: 2f054084be8aaa2ba71d4e815b9be7a5
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Feb 18, 2021
Longmei, Ningthaipuilu; Gill, G. K.; Zaidi, P.H.; Kumar, R.; Nair, S. K.; Hindu, V.; Vinayan, M.T.; Vikal, Y., 2021, "Replication Data for: Genome wide association mapping for heat tolerance in sub-tropical maize", https://hdl.handle.net/11529/10548550, CIMMYT Research Data & Software Repository Network, V1
Heat tolerance is becoming increasingly important for maize grown in the spring season in India because heat stress can lead to devastating yield loss. The genotypic data provided in this dataset were used to carry out GWAS analyses on 662 doubled haploid lines to identify SNPs s... |
Feb 18, 2021 -
Replication Data for: Genome wide association mapping for heat tolerance in sub-tropical maize
Gzip Archive - 65.1 MB -
MD5: 4795af0fb20bd91778cf1d240bee80d5
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Feb 12, 2021
Montes, Carlo; Schulthess, Urs, 2021, "Daily weather data for International Wheat Improvement Network (IWIN) locations based on AgERA5", https://hdl.handle.net/11529/10548548, CIMMYT Research Data & Software Repository Network, V1
Daily weather data from 1979 to 2019. The variables included are precipitation (mm), relative humidity max, relative humidity min, short wave radiation (MJ/m2/d), temperature max (°C), temperature min (°C), vapor pressure deficit max (kPa), wind speed 2m (m/s) and wind speed 10m... |
Feb 12, 2021 -
Daily weather data for International Wheat Improvement Network (IWIN) locations based on AgERA5
Plain Text - 16.2 KB -
MD5: 6c1cea59d741e774dad17fdced2f74c4
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