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6,931 to 6,940 of 12,513 Results
Mar 2, 2021 - CIMMYT Research Data
Crespo, Leonardo; Howard, Reka; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin; Jarquín, Diego; Crossa, Jose, 2021, "Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction", https://hdl.handle.net/11529/10548552, CIMMYT Research Data & Software Repository Network, V1
Sparse testing can be used in plant breeding and genome-based prediction. In sparse testing not all of the lines are sown in all environments. The phenotypic and genotypic data files provided in this dataset were used to execute an analysis of three general cases of the compositi...
Gzip Archive - 44.7 KB - MD5: 8bc27d071addf4b9279213b300e131be
Phenotypic data
Gzip Archive - 47.2 KB - MD5: d9447fcd0702b1acd481c75e70313ee1
Phenotypic data
Gzip Archive - 46.0 KB - MD5: 5b78438dda4b07d6ddc33cb24423450a
Phenotypic data
Gzip Archive - 1.3 MB - MD5: fd6facd59a90d11feae3cd88c1661d4e
Genotypic data
Gzip Archive - 1.3 MB - MD5: eaf0714da01a5cc11b678fb50c27f5c1
Genotypic data
Gzip Archive - 1.9 MB - MD5: 2f054084be8aaa2ba71d4e815b9be7a5
Genotypic data
Feb 18, 2021 - CIMMYT Research Data
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 12, 2021 - CIMMYT Research Data
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...
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