Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Race H Higgins"'
Autor:
Asheesh K. Singh, Race H. Higgins, Kyle A. Parmley, Mariana Victoria Chiozza, Fernando E. Miguez
Publikováno v:
Field Crops Research. 271:108260
Prediction of soybean seed yield and seed composition at a plot scale before harvesting has potential uses in breeding programs for early-season selection and harvesting decisions. Reflectance information from hyperspectral bands have been mainly use
Autor:
Asheesh K. Singh, Soumik Sarkar, Kyle A. Parmley, Baskar Ganapathysubramanian, Race H. Higgins
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with a machine learning (ML) approach to provide plant breeders the tools to do both in-season seed yield (SY) prediction and prescriptive cultivar development for
Autor:
Johnathon M. Shook, Soumik Sarkar, Hsiang Sing Naik, Talukder Z. Jubery, Jiaoping Zhang, Race H. Higgins, Baskar Ganapathysubramanian, Arti Singh, Kyle A. Parmley, Asheesh K. Singh
Publikováno v:
Frontiers in Plant Science
Soybean canopy outline is an important trait used to understand light interception ability, canopy closure rates, row spacing response, which in turn affects crop growth and yield, and directly impacts weed species germination and emergence. In this
Publikováno v:
Genome Biology
Background Sorghum is a tropical C4 cereal that recently adapted to temperate latitudes and mechanized grain harvest through selection for dwarfism and photoperiod-insensitivity. Quantitative trait loci for these traits have been introgressed from a
Autor:
Parmley, Kyle A.1, Higgins, Race H.1, Ganapathysubramanian, Baskar2, Sarkar, Soumik2, Singh, Asheesh K.1 singhak@iastate.edu
Publikováno v:
Scientific Reports. 11/20/2019, Vol. 9 Issue 1, pN.PAG-N.PAG. 1p.