Tags: Sorghum

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  1. Preference of dhurrin-free sorghum by ewes

    2023-10-16 14:47:18 | Datasets | Contributor(s): Shelby M. Gruss, Mitchell R Tuinstra | doi:10.4231/A2WW-EF74

    The preference of dhurrin-free sorghum was evaluated using ewes in a free choice grazing trial comparing a dhurrin-free hybrid to commercial hyrbids, and a set of near isogenic lines varying in dhurrin production.

    https://purr.purdue.edu/publications/4065

  2. Row Selection in Remote Sensing for Maize and Sorghum

    2023-06-20 18:49:40 | Datasets | Contributor(s): Mitchell R Tuinstra, Seth A Tolley | doi:10.4231/PF9S-4G38

    Remote sensing data evaluates all row segments of a plot, but the repeatability of traits from different row segments has not been evaluated. We evaluated which row segments provide the best repeatability and yield prediction of remote sensing traits.

    https://purr.purdue.edu/publications/4250

  3. Expression of Stay-Green in Dhurrin-Free Sorghum

    2022-07-15 17:26:05 | Datasets | Contributor(s): Shelby M Gruss, Mitchell R Tuinstra | doi:10.4231/4ABA-TW22

    This data examines the effects dhurrin production has on the stay-green trait by utilizing near isogenic lines, near isogenic backcrosses, and near isogenic hybrids varying in dhurrin production.

    https://purr.purdue.edu/publications/3982

  4. Stability of dhurrin and HCN release in dried sorghum samples

    2022-05-27 18:34:45 | Datasets | Contributor(s): Shelby M Gruss, Mitchell R Tuinstra, Keith Johnson | doi:10.4231/SDJ6-9C84

    Dhurrin is a cyanogenic glucoside of sorghum. Dhurrin content is thought to decline when making sorghum hay. Contrary to expectations, this study demonstrated that dhurrin was stable in sorghum tissues during the hay drying and curing process.

    https://purr.purdue.edu/publications/3818

  5. Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

    2022-02-10 21:52:29 | Datasets | Contributor(s): Meng-yang Lin, Mitchell R Tuinstra | doi:10.4231/FPHP-0153

    High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

    https://purr.purdue.edu/publications/3958

  6. Geospatial Image Data for Sorghum Phenotyping

    2021-05-26 20:35:21 | Datasets | Contributor(s): Mitchell Tuinstra, Melba M Crawford, Ed Delp, Ayman F Habib, Keith A Cherkauer, Larry L. Biehl | doi:10.4231/MY7W-FH43

    This publication includes sample rgb and hyperspectral image data collected in 2018 by unmanned aerial systems for a Sorghum Phenotying and Trait Analysis project being conducted at Purdue's Agronomy Center for Research and Education (ACRE).

    https://purr.purdue.edu/publications/3167

  7. Ethiopian sorghum landrace SNP and phenotype data

    2020-08-03 13:21:10 | Datasets | Contributor(s): Gezahegn Tessema, Habte Nida, Alemu Tirfessa, Dagnachew Lule, Tamirat Bejiga, Amare Seyoum, Moges Mekonen, Amare Nega, Kebede Dessalegn, Chemeda Birhanu, Alemnesh Bekele, Adane Gebreyohannes, Getachew Ayana, Tesfaye Tesso, Gebisa Ejeta, Tesfaye Mengiste | doi:10.4231/PYQV-AT79

    Phenotypic and SNP datasets generated for a study on Ethiopian sorghum genomics and gene mining for important traits.

    https://purr.purdue.edu/publications/3189

  8. Busia Crop Suitability Maps

    2019-11-08 15:19:15 | Datasets | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/VA77-JB85

    These are suitability classes defining the requirements for various crops/ land use types.

    https://purr.purdue.edu/publications/3266

  9. Survey on Crop Residues for Cattle Feeding in Niger

    2019-10-16 18:31:15 | Datasets | Contributor(s): Ousmane Seyni Diakite | doi:10.4231/GE83-HA69

    The specific objectives were to identify farmers’ and stover traders’ preferences on sorghum stover varieties. A Participatory Rural Appraisal (PRA) consisting of focus group discussions followed by semi-structured interviews, was conducted.

    https://purr.purdue.edu/publications/3283

  10. Mutations in sorghum SBEIIb and SSIIa affect alkali spreading value, starch composition, thermal properties and flour viscosity

    2019-07-19 17:57:19 | Datasets | Contributor(s): Stefanie Griebel, Richard Westerman, Adedayo Adeyanju, Charles Addo-Quaye, Bruce A. Craig, Clifford Weil, Suzanne M. Cunningham, Bhavesh Patel, Osvaldo H. Campanella, Mitchell Tuinstra | doi:10.4231/3GBF-RS75

    Seven novel alleles of SBEIIb and one allele of SSIIa co-segregated with the ASV phenotype and contributed to distinct starch quality traits important for food processing applications.

    https://purr.purdue.edu/publications/3238

  11. Ethiopian sorghum landrace SNP and phenotype data

    2019-05-03 15:11:19 | Datasets | Contributor(s): Gezahegn Tessema, Habte Nida, Amare Seyoum, Moges Mekonen, Amare Nega, Dagnachew Lule, Kebede Desalegn, Alemnesh Bekele, Adane Gebreyohannes, Adedayo Adeyanju, Alemu Tirfessa, Getachew Ayana, Taye Taddese, Firew Mekbib, Ketema Belete, Tesfaye Tesso, Gebisa Ejeta, Tesfaye Mengiste | doi:10.4231/PYQV-AT79

    Phenotypic and SNP datasets generated for a study on Ethiopian sorghum genomics and gene mining for important traits.

    https://purr.purdue.edu/publications/3189

  12. Purdue Agronomy Farm Sorghum Polarization (846401)

    2015-07-27 16:04:16 | Datasets | Contributor(s): Vern C. Vanderbilt | doi:10.4231/R7PC309T

    The purpose of this experiment is to characterize the polarization of a sorghum field at various view and illumination angles and by its physical and agronomic attributes.

    https://purr.purdue.edu/publications/1942

  13. Purdue Agronomy Farm Sorghum Cultural Practices (821808)

    2015-07-22 14:41:45 | Datasets | Contributor(s): Craig S. T. Daughtry | doi:10.4231/R7MG7MF0

    Spectral observations of the farm sorghum cultural practices at Purdue.

    https://purr.purdue.edu/publications/1903

  14. Purdue Agronomy Farm Soybean Row Direction (811810)

    2015-07-22 14:25:08 | Datasets | Contributor(s): Craig S. T. Daughtry | doi:10.4231/R7NG4NJX

    Spectral observation

    https://purr.purdue.edu/publications/1893

  15. Purdue Agronomy Farm Sorghum Cultural Practices (811808)

    2015-07-22 14:24:03 | Datasets | Contributor(s): Craig S. T. Daughtry | doi:10.4231/R7S75D8N

    Spectral observations of the farm sorghum cultural practices at Purdue.

    https://purr.purdue.edu/publications/1892

  16. Purdue Agronomy Farm Sorghum Cultural Practices (831808)

    2015-06-12 19:05:56 | Datasets | Contributor(s): Craig S. T. Daughtry | doi:10.4231/R7SF2T4R

    Spectral observations of the farm sorghum cultural practices at Purdue.

    https://purr.purdue.edu/publications/1921

  17. Purdue Agronomy Farm Sorghum Polarization (836401)

    2015-06-12 19:04:56 | Datasets | Contributor(s): Vern C. Vanderbilt | doi:10.4231/R7X63JV2

    Purdue Agronomy Farm Sorghum Polarization Tests

    https://purr.purdue.edu/publications/1923

  18. Kansas Intensive Test Site 1988 (771207)

    2015-04-21 18:50:12 | Datasets | Contributor(s): Marvin E. Bauer | doi:10.4231/R7XG9P2F

    The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from controlled experimental plots at field research stations and data collection by satellite scanners.

    https://purr.purdue.edu/publications/1856

  19. Kansas Intensive Test Site 1988 (761207)

    2015-04-21 18:45:10 | Datasets | Contributor(s): Marvin E. Bauer | doi:10.4231/R7251G4Z

    The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from controlled experimental plots at field research stations and data collection by satellite scanners.

    https://purr.purdue.edu/publications/1855

  20. Kansas Intensive Test Site 1960 (751207)

    2015-04-06 16:44:18 | Datasets | Contributor(s): Marvin E. Bauer | doi:10.4231/R7P26W11

    The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from conrtolled experimental plots at field research stations and data collection by satellite scanners.

    https://purr.purdue.edu/publications/1830

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