10.4231/FPHP-0153
Meng-yang Lin , Mitchell R Tuinstra
02/11/2022
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.
Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum
10.4231/4ABA-TW22
Mitchell R Tuinstra , Shelby M Gruss
07/15/2022
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.
10.4231/PF9S-4G38
Mitchell R Tuinstra , Seth A Tolley
07/26/2023
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.
Border effect High-throughput Phenotyping hyperspectral LiDAR Maize Plot trimming Predictive modelling Remote Sensing RGB Sorghum UAV
10.4231/SDJ6-9C84
Keith Johnson , Mitchell R Tuinstra , Shelby M Gruss
05/31/2022
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.
10.4231/MY7W-FH43
Ayman F Habib , Ed Delp , Keith A Cherkauer , Larry L. Biehl , Melba M Crawford , Mitchell Tuinstra
05/27/2021
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).
Agronomy hyperspectral Phenotyping Remote Sensing Sorghum UAS
10.4231/PYQV-AT79
Adane Gebreyohannes , Adedayo Adeyanju , Alemnesh Bekele , Alemu Tirfessa , Amare Nega , Amare Seyoum , Dagnachew Lule , Firew Mekbib , Gebisa Ejeta , Getachew Ayana , Gezahegn Tessema , Habte Nida , Kebede Desalegn , Ketema Belete , Moges Mekonen , Taye Taddese , Tesfaye Mengiste , Tesfaye Tesso
05/03/2019
Phenotypic and SNP datasets generated for a study on Ethiopian sorghum genomics and gene mining for important traits.
Botany Ethiopia Genomics Germplasm Landrace Phenotyping Plant Pathology SNP Sorghum
10.4231/VA77-JB85
Darrell Schulze , Joshua Minai
11/18/2019
These are suitability classes defining the requirements for various crops/ land use types.
Agronomy Beans Busia Area Cabbage Cassava Coffee Corn Cotton Crop Suitability Map Decision Matrix Forage Crops Grazing Guavas Kale Kenya Land Suitability Map Unit Millets Onions Peanuts Rice Sorghum Sugarcane Sunflower Tomato
10.4231/GE83-HA69
10/18/2019
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.
Cattle Farmer Survey Forage Preference Livestock National Agricultural Research Institute of Niger (INRAN) Niger Sorghum Sorghum Trait Development Pipeline West Africa
10.4231/3GBF-RS75
Adedayo Adeyanju , Bhavesh Patel , Bruce A. Craig , Charles Addo-Quaye , Clifford Weil , Mitchell Tuinstra , Osvaldo H. Campanella , Richard Westerman , Stefanie Griebel , Suzanne M. Cunningham
07/24/2019
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.
Agronomy Alkali Spreading Value Amylose Genomics Paste Viscosity Profiles SBEIIb Sorghum SSIIa Starch Gelatinization Variant Call Format (VCF)
10.4231/EZDX-XT41
Adane Gebreyohannes , Alemnesh Bekele , Alemu Tirfessa , Amare Nega , Amare Seyoum , Chemeda Birhanu , Dagnachew Lule , Gebisa Ejeta , Getachew Ayana , Gezahegn Tessema , Habte Nida , Kebede Dessalegn , Moges Mekonen , Tamirat Bejiga , Tesfaye Mengiste , Tesfaye Tesso
08/03/2020
Agro-climatic information, phenotypic and SNP datasets were generated for 1628 Ethiopian sorghum accessions and utilized for a study on germplasm characterization and genome-environment association studies.
Botany Ethiopia Genomics Germplasm Landrace Phenotyping Plant Pathology Sorghum
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