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131 to 140 of 13,673 Results
Full_list_of_wheat_genotypes_evaluated_for_blast_resistance.csv
Jun 18, 2026 - Full list of wheat genotypes evaluated for wheat blast resistance
Comma Separated Values - 1.3 MB - MD5: f3023327247f255e959caefda858b303
Documentation
Wheat Blast Data for four CIMMYT wheat nurseries during the 2025 cropping cycle
Jun 18, 2026 - CIMMYT Research Data
Singh, Pawan; He, Xinyao; Vargas, Hector Jorge; Roy, Krishna K.; Kabir, Muhammad Rezaul, 2026, "Wheat Blast Data for four CIMMYT wheat nurseries during the 2025 cropping cycle", https://doi.org/10.71682/10549431, CIMMYT Research Data & Software Repository Network, V1
Wheat head blast index (%) data for four CIMMYT nurseries (16HLBSN, 16HZAN, 42SAWSN, and 57IBWSN) is presented. Field trials took place in Okinawa (Bolivia) and Jashore (Bangladesh) during the 2025 cycles. Two sowings were made in Jashore while only one was made in Okinawa.
16HLBSN_WB.csv
Jun 18, 2026 - Wheat Blast Data for four CIMMYT wheat nurseries during the 2025 cropping cycle
Comma Separated Values - 8.0 KB - MD5: d57068e11fcdf163f1a3a830bb8af4fe
DataPhenotypic data
16HZAN_WB.csv
Jun 18, 2026 - Wheat Blast Data for four CIMMYT wheat nurseries during the 2025 cropping cycle
Comma Separated Values - 61.7 KB - MD5: 7b61d289a0a249842280489af71e2321
DataPhenotypic data
42SAWSN_WB.csv
Jun 18, 2026 - Wheat Blast Data for four CIMMYT wheat nurseries during the 2025 cropping cycle
Comma Separated Values - 31.7 KB - MD5: 1623fb2ac29500c436131807d14bbeb9
DataPhenotypic data
57IBWSN_WB.csv
Jun 18, 2026 - Wheat Blast Data for four CIMMYT wheat nurseries during the 2025 cropping cycle
Comma Separated Values - 36.5 KB - MD5: 0ae72a3c9d2070394d9dbb5a564e5d41
DataPhenotypic data
Data Dictionary_Template_XHe.xlsx
Jun 18, 2026 - Wheat Blast Data for four CIMMYT wheat nurseries during the 2025 cropping cycle
MS Excel Spreadsheet - 12.6 KB - MD5: 80d25fd372aaa679cf9a8f60d9ebd353
Documentation
Replication Data for: A Framework for Predicting Wheat Grain Quality Using Hyperspectral and Multispectral Derived Matrices with Statistical Learning Methods
Jun 17, 2026 - CIMMYT Research Data
Pacheco, Ángela; Ortiz-Monasterio, Iván; Rodrígues Junior, Francelino; Quemada, Miguel; Burgueño, Juan; Mothukuri, Srinivasa, 2026, "Replication Data for: A Framework for Predicting Wheat Grain Quality Using Hyperspectral and Multispectral Derived Matrices with Statistical Learning Methods", https://doi.org/10.71682/10549430, CIMMYT Research Data & Software Repository Network, V1
This research focuses on the development and evaluation of remote sensing approaches for the assessment of wheat grain quality and productivity. Grain yield, grain nitrogen content, and grain protein content are key traits in wheat breeding and crop management; however, their mea...
2_Supplementary Information (V2).docx
Jun 17, 2026 - Replication Data for: A Framework for Predicting Wheat Grain Quality Using Hyperspectral and Multispectral Derived Matrices with Statistical Learning Methods
MS Word - 2.3 MB - MD5: c748ee49a7af372eb0849a42a9e4d9a4
Documentation
PaperInfo.zip
Jun 17, 2026 - Replication Data for: A Framework for Predicting Wheat Grain Quality Using Hyperspectral and Multispectral Derived Matrices with Statistical Learning Methods
ZIP Archive - 64.5 KB - MD5: fe9754bcc6ca6b72a8a3d8407e440568
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