The tab mapper is a handy little tool that will render a guitar tab file with graphic chord diagrams displayed alongside. This comes in handy for people who just don't have every single chord shape memorized. Just plug in the web site address of a valid .tab or .crd file and hit "Go". In general, the tab mapper does a better job with printer friendly URLs. If there is more than one way to play a chord, the tab mapper will choose the most common shape. To see other fingerings, click on the chord diagram and you will be taken to the chord calculator.
Original file located @ http://cassavabase.org.
Show me scales that sound good with the chords in this song: A, B, C, G, Go.
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Sequencing wild and cultivated cassava reveals hybridization and genetic diversity
Search, retrieve, save breeding trials
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Genomic selection and molecular breeding
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Tissue samples collected from the field are linked to a single plant, which is in turn linked to a single plot.
Many tissue samples can be created for each plant.
Each tissue sample has a globally unique name.
A unique tissue sample is present in each well of a genotyping plate (96 or 384 well plates).
The tissue sample in a 96 well plate can originate from another tissue sample name, plant name, plot name, or accession name.
Select | Trial name | Description | Breeding program | Folder | Year | Location | Trial type | Design | Planting Date | Harvest Date | Download |
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A field trial represents plots in the field where each plot has a globally unique plot_name, a sequential plot_number that is unique in the trial (e.g. 101, 102, 103 for three separate plots), and an accession_name representing the genotype being tested in that plot. In cases where a cross/family is being evaluated (e.g. F1 hybrid, backcrossing), a cross_unique_id or a family_name can be used instead of an accession_name. Each plot can belong to different blocks (block_number) and reps (rep_number) depending on the experimental design you are using (e.g. complete block vs augmented design). Each plot can have a row_number and col_number indicating the relative position of the plot in the field.
If a specific accession is a check or control, you can indicate the plots that that accession is planted in as controls using is_a_control.
You can provide the specific seedlot_name planted in each plot, along with the number of seeds (num_seed_per_plot) and/or the weight (g) of seed (weight_gram_seed_per_plot) that were used.
A trial can represent a yield trial, a phenotyping trial, a crossing block, a greenhouse, a nursery, etc.
A plot can have many plants, which the database can track as separate entities, allowing you to record plant level observations and information.
File format information |
Single Trial Designs may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
File format information |
Multiple Trial Designs may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
Creates plant entries for each plot. Ignore if not adding plant entries.
If you go on to collect tissue samples for creating a 96 well plate for genotyping, when adding the genotyping plate (96 well plate layout) to the database you can use plot names or plant names or tissue sample names from this field trial. By doing so, we can create linkage between this field trial and the genotyping plate.
If you go on to perform crosses on this field trial, each cross can be linked to specific female and male plots. When you upload these crosses we can then automatically link this field trial to the crossing experiment in the database.
Check this box to ignore any possible warning messages and save the trial to the database.
The trial file was uploaded successfully
The trial file was uploaded successfully
Stock type being evaluated in this trial: accession Stock type being evaluated in this trial: accession |
plot_name | accession_name | plot_number | block_number | is_a_control | rep_number | range_number | row_number | col_number | seedlot_name | num_seed_per_plot | weight_gram_seed_per_plot | entry_number |
plot_name,accession_name,plot_number,block_number,is_a_control,rep_number,range_number,row_number,col_number,seedlot_name,num_seed_per_plot,weight_gram_seed_per_plot,entry_number
Stock type being evaluated in this trial: cross unique id Stock type being evaluated in this trial: cross unique id |
plot_name | cross_unique_id | plot_number | block_number | is_a_control | rep_number | range_number | row_number | col_number | seedlot_name | num_seed_per_plot | weight_gram_seed_per_plot | entry_number |
plot_name,cross_unique_id,plot_number,block_number,is_a_control,rep_number,range_number,row_number,col_number,seedlot_name,num_seed_per_plot,weight_gram_seed_per_plot,entry_number
Stock type being evaluated in this trial: family name Stock type being evaluated in this trial: family name |
plot_name | family_name | plot_number | block_number | is_a_control | rep_number | range_number | row_number | col_number | seedlot_name | num_seed_per_plot | weight_gram_seed_per_plot | entry_number |
plot_name,family_name,plot_number,block_number,is_a_control,rep_number,range_number,row_number,col_number,seedlot_name,num_seed_per_plot,weight_gram_seed_per_plot,entry_number
Only the required fields are necessary to include in the upload template. You may add any additional optional fields. The fields can be in any order.
trial_name | breeding_program | location | year | transplanting_date | design_type | description | trial_type | plot_width | plot_length | field_size | planting_date | harvest_date | plot_name | accession_name | plot_number | block_number | is_a_control | rep_number | range_number | row_number | col_number | seedlot_name | num_seed_per_plot | weight_gram_seed_per_plot | entry_number |
trial_name,breeding_program,location,year,transplanting_date,design_type,description,trial_type,plot_width,plot_length,field_size,planting_date,harvest_date,plot_name,accession_name,plot_number,block_number,is_a_control,rep_number,range_number,row_number,col_number,seedlot_name,num_seed_per_plot,weight_gram_seed_per_plot,entry_number
Required fields:Trials may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
This upload can be used to update the metadata of trials that have already been added to the database
Any metadata provided in the upload file will replace any existing metadata. Blank values in the upload file will leave the existing metadata unchanged.
File format information |
Trial Metadata may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
trial_name | breeding_program | location | year | transplanting_date | planting_date | harvest_date | design_type | description | trial_type | plot_width | plot_length | field_size |
Trial Metadata may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
A field trial represents a field where each plot has a globally unique plot name, a sequential plot number that is unique in the trial (e.g. 101, 102, 103 for three separate plots), and an accession representing the genotype being tested in that plot. In cases where crosses/families are being evaluated (e.g. F1 hybrid, backcrossing), cross unique ids or family names can be used instead of accessions. Each plot can belong to different blocks and reps depending on the experimental design you are using (e.g. complete block vs augmented design). Each plot can have a row number and col number indicating the relative position of the plot in the field.
To design a trial you need to provide a globally unique trial name. The plot names will be generated based on the trial name you provide (e.g. if the trial name is 2018MyTrial, plot_names will be generated like 2018MyTrial_101, 2018MyTrial_102, etc).
You also need to provide a list of accessions, cross unique ids or family names to use. Based on the design you have picked, the accessions, cross unique ids or family names will be randomized over the blocks or replicates in the trial.
You can provide a list of accessions to use as controls or checks in your experiment.
Depending on the design you have picked, you will need to provide different design parameters (e.g. for complete block you will need to provide number of blocks, while for alpha lattice you will need to provide block size and number of replicates.).
A trial can represent a yield trial, a phenotyping trial, a crossing block, a greenhouse, a nursery, etc.
A plot can have many plants, which the database can track as separate entities, allowing you to record plant level observations and information.
Location abbreviation will automatically be added as a prefix if multiple locations are selected.
Creates plant entries for each plot. Ignore if not adding plant entries.
If you go on to collect tissue samples for creating a 96 well plate for genotyping, when adding the genotyping plate (96 well plate layout) to the database you can use plot names or plant names or tissue sample names from this field trial. By doing so, we can create linkage between this field trial and the genotyping plate.
If you go on to perform crosses on this field trial, each cross can be linked to specific female and male plots. When you upload these crosses we can then automatically link this field trial to the crossing experiment in the database.
By default field map display is set to serpentine and uses the block or rep number as row number.
If you do not want to create field map along with this trial, set 'Plot layout format' to 'select plot layout format'.
If you do not know exactly in which rows and columns you will end up planting the plots, do not provide this and go to the next step.
If you will plant your plots in an irregular (non-rectangular) layout, do not provide this and go to the next step.
You can upload the exact row and column information for your plots (in any layout shape) on the Trial Detail Page after you have created the trial in the database and actually planted the experiment.
It is recommended to allow the database to create the plot prefixes, so leave the prefix blank unless necessary.
Check to confirm that your design looks good. If there are any problems you can redo the randomization step.
Trial Is Valid
The following trial will be added
The trial was saved successfully
The trial was saved successfully
Partially replicated designs have some treatments that are unreplicated and rely on replicated treatments to make the trial analysable. The design were described in Cullis et al. (2006). It is recommended that at least 20% of the experimental units are occupied by replicated treatments. The aim of these experiments is usually to select promising treatments from a set of replicated and unreplicated test treatments, with check and quality standard treatments providing the necessary replication overall to give a valid experiment. DiGGer (Coombes, 2002) was used to implement this design. DiGGer is a flexible tool for creating experimental designs that are efficient for specified blocking and correlation patterns. DiGGer package (http://www.austatgen.org/files/software/downloads) is an add-on for the statistical computing language and environment R (R Development Core Team, 2009).
The parameters will consider a sample partially replicated design trial with 200 unreplicated accessions, 119 accessions replicated 4 times, 26 rows in design, 26 columns in design, bock sequence of 13 by 2 (13, 2) i.e 2 blocks with each having 13 rows; sub-block sequence of block of 13 by 1 (13, 1) i.e 1 sub-block with each having 13 rows in each block.
List of Unreplicated AccessionSelect a genotyping project on the next screen. This project can represent a series of genotyping plates sent to a genotyping facilty.
Ideally the sample names in your VCF file will match sample names in genotyping plates in the database; however, the sample names in your file can also match accession names in the database.
Curently we support the VCF format, the Tassel HDF5 format, the Intertek CSV format, KASP data and SSR data for upload.
If you are uploading many files that used the same genotyping protocol, you can do so, and the database will ensure that the marker information is consistent across the genotyping data (e.g. the same reference, alternate, position, etc.).
Select | Genotyping Project Name | Description | Breeding program | Year | Location | Genotyping Facility |
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Select | Protocol Name | Header Description | Number of Markers | Protocol Description | Reference Genome | Species | Sample Unit | Create Date |
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File format information |
File format information |
File format information |
File format information |
File format information |
The genotyping data was saved successfully
#CHROM | POS | ID | REF | ALT | QUAL | FILTER | INFO | FORMAT | Sample names... |
The header must be:
SampleName.LabID | All Marker Names In Separate Columns (e.g. marker name = S12_7926132) |
The SampleName.LabID column should contain the sample name (exported_tissue_sample_name or accession_name) and it must exist in the database already
For Intertek SNP Information File:The header must be:
IntertekSNPID | CustomerSNPID | Reference | Alternate | Chromosome | Position | Optional: additional marker info can be included. Please see below. |
marker_name | forward_primer | reverse_primer | annealing_temperature | product_sizes | sequence_motif | sequence_source | linkage_group |
SSR marker info was saved successfully. You can now proceed with SSR genotyping data upload.
File format information |
sample_name | s01 | s01 | s01 | s02 | s02 | s02 |
139 | 170 | 194 | 203 | 229 | 290 | |
sample_A | 1 | 0 | 0 | 0 | 1 | 1 |
sample_B | 0 | 0 | 0 | 1 | 0 | 0 |
sample_C | 0 | 1 | 1 | 0 | 1 | 0 |
The header must be:
MarkerName | Xallele | Yallele | Chromosome | Position | Optional: additional marker info can be included. Please see below. |
If you are uploading genotyping data using your marker names and sample names, the header must be:
MarkerName | SampleName | SNPcall | Xvalue | Yvalue |
If you are uploading genotyping data using facility marker names and facility sample names, the header must be:
FacilityMarkerName | FacilitySampleName | SNPcall | Xvalue | Yvalue |
Genotyping plates represent 96 or 384 well plates.
Each plate has a globally unique Plate ID.
Each well in the plate has a globally unique tissue sample ID.
The "contents" of each well can be either a tissue sample, plant name, plot name, or accession name. This "source" name must be in the database already. This is useful if you provide a field trial entity (such as a plot or plant or tissue sample name), so that phenotypes and genotypes can be directly compared.
If you choose to submit your genotyping plate to a genotyping facility (Cornell IGD, Intertek, BGI, etc) we can generate the files they require for you. Please be aware of their requirements, such as blank well positions and concentrations.
In addition to sample ID, you have an option to include facility identifier for each well.
Genotyping projects are for grouping genotyping plates and/or genotyping data together. Genotyping Project should match Vendor Project if you have one.
If you need to create a genotyping project, click here File format information |
File format information |
File format information |
If you provided us with information about where the tissue sample in each well originated (e.g. it came from a plot name or plant name or tissue sample name in a field trial), we will automatically create linkage between the field trial(s) and this genotyping plate.
Automatic submission to the Genotyping Facility currently not working. You can submit it from the Genotyping Plate's detail page or download the information from the Genotyping Plate's detail page and submit it yourself after clicking Submit
SubmitThe genotyping plate was saved successfully
The genotyping plate was saved successfully
date | sample_id | well_A01 | row | column | source_observation_unit_name | ncbi_taxonomy_id | dna_person | notes | tissue_type | extraction | concentration | volume | is_blank |
date | plate_id | plate_name | sample_id | well_A01 | well_01A | tissue_id | dna_person | notes | tissue_type | extraction |
Note that tissue type will be set to 'leaf' if you use this upload type, since tissue type is not provided in the upload and tissue type is required for DaRT.
The first row (header) must contain the following:Value | Column | Row | Identification | Person | Date |
The "Seed Inventory" Android Application will export this same exact format by default.
The seedlot inventory file was uploaded successfully
The seedlot inventory file was uploaded successfully
box_id | seed_id | inventory_date | inventory_person | weight_gram |
The seedlot file was uploaded successfully
The seedlot file was uploaded successfully
seedlot_name | accession_name | operator_name | amount | weight_gram | description | box_name | quality | source |
Seedlots may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
seedlot_name | cross_unique_id | operator_name | amount | weight_gram | description | box_name | quality |
Seedlots may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
File format information |
Accessions may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
accession_name | species_name | population_name | organization_name | synonym | description | PUI | accession number | acquisition date | biological status of accession code | country of origin | donor | donor PUI | donor institute | genome_structure | institute code | institute name | introgression_backcross_parent | introgression_chromosome | introgression_end_position_bp | introgression_map_version | introgression_parent | introgression_start_position_bp | location_code | ncbi_taxonomy_id | notes | organization | ploidy_level | product_profile | released_variety_name | seed source | state | transgenic | type of germplasm storage code | variety | variety_release_id | year_of_cloning |
Accessions may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
Optional columns may be left out, if not used in your data.
Crossing experiments are for grouping crosses together. The grouping is most often done for crosses derived from the same field trial, the same year, or for crosses that have the same breeding objective.
If you need to create a new crossing experiment, click here File format information |
Crosses may be uploaded using any of the supported file types: MS Excel (.xls or .xlsx), comma-separated file (.csv), tab-delimited file (.txt or .tsv), or semicolon-separated file (.ssv).
The crosses file was uploaded successfully
The crosses file was uploaded successfully
cross_unique_id | cross_combination | cross_type | female_parent | male_parent |
Crossing experiments are for grouping crosses together. The grouping is most often done for crosses derived from the same field trial, the same year, or for crosses that have the same breeding objective.
If you need to create a crossing experiment, click here Cross type information |
Add New Accessions for Progeny:
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Number of progeny:
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Use Prefix and/or Suffix:
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Prefix:
Suffix:
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The cross was added successfully
The cross was added successfully
biparental: An individual plant pollinated by another individual plant.
self: A self pollinated individual plant.
open pollinated: An individual plant pollinated by a group of plants or open pollinated (pollen may be from a group with known or unknown members).
backcross: An individual plant pollinated by one of its parents.
sib: Mating between individuals that have at least one parent in common. Generally between two individuals within the same plot.
bulk: A group of plants (usually a related family) pollinated by an individual plant.
bulk selfed: A group of plants (usually a related family) that are self pollinated (each individual selfed, not combined pollen).
bulk and open pollinated: A group of plants (usually a related family) that are pollinated by another group of plants or open pollinated (pollen may be from a group with known or unknown members).
doubled haploid: Plants derived from doubling the chromosome number of haploid tissue.
dihaploid induction: Plants derived from a chromosome reduction from tetraploid to diploid
polycross: Creates a group of open pollinated crosses. Each accession in the selected list becomes the female parent in an open cross, and all the members of the list grouped together form the male parent.
reciprocal: Creates a group of biparental crosses. Starting with a list of accessions, all possible biparental cross combinations are made between them.
multicross: Creates a group of biparental crosses. Starting with a list of maternal accessions and a list of paternal accessions, direct crosses are made in order.
The cross or crosses were saved successfully.
Crossing experiments group crosses. The grouping can reflect crosses done in the same field trial, crosses in a breeding program in a given year, or crosses that have the same breeding objective. This grouping can be used to encapsulate all the crosses done in a crossing block field trial that you have saved in the database (e.g. in Manage Trials your crossing block will appear as a field trial with plots)
Go to Next StepCrossing experiment was added successfully
Crossing experiment was added successfully
Cassava (Manihot esculenta), a major staple crop, is the main source of calories for 500 million people across the globe. No other continent depends on cassava to feed as many people as does Africa. Cassava is indispensable to food security in Africa. It is a widely preferred and consumed staple, as well as a hardy crop that can be stored in the ground as a fall-back source of food that can save lives in times of famine. Despite the importance of cassava for food security on the African continent, it has received relatively little research and development attention compared to other staples such as wheat, rice and maize. The key to unlocking the full potential of cassava lies largely in bringing cassava breeding into the 21st century. [More...]
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NextGen Cassava Breeding project promises to substantially increase the rate of genetic improvement in cassava breeding and unlock the full potential of cassava, a staple crop central to food security and livelihoods across Africa.
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