1,821 to 1,830 of 1,838 Results
Oct 3, 2018 -
Green house and field evaluation of transgenic wheat overexpressing AVP1, NAS2 and PSTOL1 genes for higher grain yield
ZIP Archive - 8.8 KB -
MD5: be348f11714f0b56199640c962126dac
Rainfall data for the field trial collected at Glenthorne Farm, O'Halloran Hill, South Australia. |
Oct 3, 2018 -
Green house and field evaluation of transgenic wheat overexpressing AVP1, NAS2 and PSTOL1 genes for higher grain yield
ZIP Archive - 492.9 KB -
MD5: dab75ecc44649e00c77d73bf79354fbf
Climate and growth environment data for the glasshouse study collected by The Plant Accelerator team, Waite Campus, Urrbrae, South Australia. |
Oct 3, 2018 -
Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines
ZIP Archive - 407.2 KB -
MD5: f9be3dd75c29421e9ed34b61b7bb81aa
Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat lines. |
Oct 3, 2018 -
Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines
ZIP Archive - 87.5 KB -
MD5: 2320a4830148ef067a43647e7608f37b
Determination of allelic variation in TaVP and TaPSTOL1 genes in 22 durum wheat lines. |
Oct 3, 2018 -
Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing
7Z Archive - 139.0 KB -
MD5: 0fd71d41f9dd50bbf4bfc7420aa3ecc4
Key file associated with the FASTQ files. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com). |
Sep 28, 2018 -
Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits
RAR Archive - 41.9 MB -
MD5: cdd5ff94aff34916a943fe27c4bb20a6
Supporting data |
Sep 21, 2018 -
Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models
Gzip Archive - 7.8 MB -
MD5: 899ad733bc009f213bfdeed4df1cb4bd
This zipped folder contains 4 supplemental files and one data dictionary to describe the variables contained in the other files. |
Jun 13, 2018 -
Deep learning genomic-enabled prediction of plant traits
RAR Archive - 53.5 MB -
MD5: 501f5155e0ace71d010f4132fb3baa18
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Mar 20, 2018 -
Introduction to basic GIS and spatial analysis using QGIS: Applications in Bangladesh
ZIP Archive - 47.6 MB -
MD5: d09f0bf65f9a19e100052218ef22c14c
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Mar 20, 2018 -
Introduction to basic GIS and spatial analysis using QGIS: Applications in Bangladesh
ZIP Archive - 203.5 MB -
MD5: a43e650928d455988c2c01325f60d8ef
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