SNP genotyping results from Intertek Sweden outsourcing service (doi:10.7910/DVN/HMB1ZO)

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Document Description

Citation

Title:

SNP genotyping results from Intertek Sweden outsourcing service

Identification Number:

doi:10.7910/DVN/HMB1ZO

Distributor:

Harvard Dataverse

Date of Distribution:

2020-03-27

Version:

1

Bibliographic Citation:

Raatz, Bodo, 2020, "SNP genotyping results from Intertek Sweden outsourcing service", https://doi.org/10.7910/DVN/HMB1ZO, Harvard Dataverse, V1

Study Description

Citation

Title:

SNP genotyping results from Intertek Sweden outsourcing service

Identification Number:

doi:10.7910/DVN/HMB1ZO

Authoring Entity:

Raatz, Bodo (International Center for Tropical Agriculture - CIAT)

Producer:

International Center for Tropical Agriculture

Distributor:

Harvard Dataverse

Distributor:

International Center for Tropical Agriculture

Access Authority:

Alliance Data Management

Depositor:

Cruz Arias, Paola Andrea

Date of Deposit:

2020-03-27

Holdings Information:

https://doi.org/10.7910/DVN/HMB1ZO

Study Scope

Keywords:

Agricultural Sciences, Earth and Environmental Sciences, Marker assisted selection, SNP genotyping, Bean, Agrobiodiversity, Latin America and the Caribbean, Crops for Health

Abstract:

Leaf discs were collected in the field and greenhouse and sent to Intertek Sweden for DNA extraction and SNP genotyping. 10 SNPs were evaluated on each sample. Data was used by the breeding program to select lines with favorable alleles.

Time Period:

2019-01-15-2019-12-30

Date of Collection:

2019-01-15-2019-12-30

Country:

Colombia

Kind of Data:

SNP genotyping data

Methodology and Processing

Sources Statement

Data Access

Disclaimer:

Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.

Notes:

<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P>

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