Replication Data for: Ecogeography and utility to plant breeding of the crop wild relatives of sunflower (Helianthus annuus L.) (doi:10.7910/DVN/BKVSBF)

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Replication Data for: Ecogeography and utility to plant breeding of the crop wild relatives of sunflower (Helianthus annuus L.)

doi:10.7910/DVN/BKVSBF

Harvard Dataverse

2015-09-30

2

Kantar, Michael B; Sosa, Chrystian C; Khoury, Colin K; Castañeda Álvarez, Nora P; Achicanoy, Harold A; Bernau, Vivian; Kane, Nolan; Marek, Laura; Seiler, Gerald; Rieseberg, Loren H, 2015, "Replication Data for: Ecogeography and utility to plant breeding of the crop wild relatives of sunflower (Helianthus annuus L.)", https://doi.org/10.7910/DVN/BKVSBF, Harvard Dataverse, V2

Replication Data for: Ecogeography and utility to plant breeding of the crop wild relatives of sunflower (Helianthus annuus L.)

doi:10.7910/DVN/BKVSBF

Kantar, Michael B (University of Minnesota and University of British Columbia)

Sosa, Chrystian C (International Center for Tropical Agriculture - CIAT)

Khoury, Colin K (International Center for Tropical Agriculture - CIAT)

Castañeda Álvarez, Nora P (International Center for Tropical Agriculture - CIAT)

Achicanoy, Harold A (International Center for Tropical Agriculture - CIAT)

Bernau, Vivian (The Ohio State University)

Kane, Nolan (University of Colorado Boulder)

Marek, Laura (Iowa State University and USDA-ARS)

Seiler, Gerald (USDA-ARS)

Rieseberg, Loren H (University of British Columbia and Indiana University)

International Center for Tropical Agriculture

Harvard Dataverse

International Center for Tropical Agriculture

CIAT Data and Research Methods

Mwanzia, Leroy

2015-09-30

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

Earth and Environmental Sciences, Crop diversity, Crop wild relatives, Crop improvement, Food security, Germplasm conservation, Plant genetic resources, Latin America and the Caribbean, Decision and Policy Analysis - DAPA

Crop diversity, Crop wild relatives

Crop wild relatives (CWR) are a rich source of genetic diversity for crop improvement. Combining ecogeographic and phylogenetic techniques can inform both conservation and breeding. Geographic occurrence, bioclimatic, and biophysical data were used to predict species distributions, range overlap and niche occupancy in 36 taxa closely related to sunflower (<i>Helianthus annuus L.</i>). Taxa lacking comprehensive <i>ex situ</i> conservation were identified. The predicted distributions for 36 Helianthus taxa identified substantial range overlap and asymmetry and niche conservatism. Specific taxa (e.g., <i>Helianthus deblis</i> Nutt., <i>Helianthus anomalus</i> Blake, and <i>Helianthus divaricatus</i> L.) were identified as targets for traits of interest, particularly for abiotic stress tolerance and adaptation to extreme soil properties. The combination of techniques demonstrates the potential for publicly available ecogeographic and phylogenetic data to facilitate the identification of possible sources of abiotic stress traits for plant breeding programs. Much of the primary genepool (wild <i>H. annuus<i>) occurs in extreme environments indicating that introgression of targeted traits may be relatively straightforward. Sister taxa in <i>Helianthus</i> have greater range overlap than more distantly related taxa within the genus. This adds to a growing body of literature suggesting that in plants (unlike some animal groups), geographic isolation may not be necessary for speciation.

Experimental Data

Breeding Data

Genomic Data

Whilst utmost care has been taken 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.

<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>.

Kantar MB, Sosa CC, Khoury CK, Castañeda-Álvarez NP, Achicanoy HA, Bernau V, Kane N, Marek L, Seiler G and Rieseberg L (2015). Ecogeography and utility to plant breeding of the crop wild relatives of sunflower (Helianthus annuus L.). Front. Plant Sci. 6:841.

10.3389/fpls.2015.00841

Kantar MB, Sosa CC, Khoury CK, Castañeda-Álvarez NP, Achicanoy HA, Bernau V, Kane N, Marek L, Seiler G and Rieseberg L (2015). Ecogeography and utility to plant breeding of the crop wild relatives of sunflower (Helianthus annuus L.). Front. Plant Sci. 6:841.

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1. 10.3389fpls.2015.00841_dataset_2015_09_29.xlsx

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Dataset with 96 fields and 12689 records of 36 sunflower taxa.

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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2. 10.3389fpls.2015.00841_dictionary_2015_09_29.xls

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Dictionary with definitions for 96 fields used in the dataset.

application/vnd.ms-excel