subject: Sorghum subject: Agronomy
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/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/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
10.4231/3GBF-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/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
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