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3,691 to 3,700 of 13,434 Results
Phaseolus.KATB1.CHROMOSOMES.fasta.gz
Mar 16, 2023 - Reference genomes of two promising Phaseolus vulgaris common bean varieties for breeding purposes KATB1 and NABE12C
Gzip Archive - 151.2 MB - MD5: 23f5b8410c128ad1a11929bdbcf105a1
Phaseolus.KATB1.hybridscaffold.zip
Mar 16, 2023 - Reference genomes of two promising Phaseolus vulgaris common bean varieties for breeding purposes KATB1 and NABE12C
ZIP Archive - 434.9 MB - MD5: b943a4c521db8ac98c13cba6d8080d6e
Phaseolus.NABE12C.CHROMOSOMES.fasta.gz
Mar 16, 2023 - Reference genomes of two promising Phaseolus vulgaris common bean varieties for breeding purposes KATB1 and NABE12C
Gzip Archive - 153.5 MB - MD5: d57d92accc29c92e5dfc1fb29bd28352
Phaseolus.NABE12C.hybridscaffold.zip
Mar 16, 2023 - Reference genomes of two promising Phaseolus vulgaris common bean varieties for breeding purposes KATB1 and NABE12C
ZIP Archive - 441.1 MB - MD5: 5463b42127f544d67f80f971f17a399a
Replication data for: Increased ranking change in wheat breeding under climate change
Mar 10, 2023 - CIMMYT Research Data
Xiong, Wei; Reynolds, Matthew; Crossa, Jose; Schulthess, Urs; Sonder, Kai; Montes, Carlo; Addimando, Nicoletta; Singh, Ravi; Ammar, Karim; Gerard, Bruno; Payne, Thomas, 2022, "Replication data for: Increased ranking change in wheat breeding under climate change", https://hdl.handle.net/11529/10548836, CIMMYT Research Data & Software Repository Network, V2
A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by cli...
Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding
Mar 9, 2023 - CIMMYT Research Data
Montesinos-López, Abelardo; Rivera Amado, Alma Carolina; Pinto, Francisco; Piñera Chavez, Francisco Javier; Gonzalez, David; Reynolds, Matthew; Pérez-Rodríguez, Paulino; Li, Huihui; Montesinos-López, Osval A.; Crossa, Jose, 2023, "Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding", https://hdl.handle.net/11529/10548885, CIMMYT Research Data & Software Repository Network, V1
In plant breeding research, several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes. To increase the GP accuracy of unobserved phenotypes while simultaneously accounting for the compl...
DS1.RData.gz
Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding
Gzip Archive - 463.4 KB - MD5: 0b8b0306583f37d63c813b36de6bd7e0
DS2.RData.gz
Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding
Gzip Archive - 689.2 KB - MD5: 2719510ea9434fc834b2461edb605a53
Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment
Feb 14, 2023 - CIMMYT Research Data
Mottaleb, Khondoker, 2023, "Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment", https://hdl.handle.net/11529/10548859, CIMMYT Research Data & Software Repository Network, V1
Applying the difference-in-difference (DID) estimation procedure, this study quantifies the wheat blast (Magnaporthe oryzae pathotype Triticum) induced losses in wheat yield, quantity of wheat sold, consumed, or stored, as well as wheat grain value in Bangladesh in 2016 following...
bldata.dta
Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment
Stata Binary - 264.4 KB - MD5: 4714254b7c489906418c5e6c35e4bcef
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