SelectedWorks - Asheesh Singh

Contact

Selected Works of Asheesh Singh

Associate Professor of Agronomy

Works
About

×

About Asheesh Singh

Present	Associate Professor of Agronomy, Iowa State University ‐ Department of Agronomy
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution

Plant Breeding and Genetics

Articles (42)

Using Machine Learning to Develop a Fully Automated Soybean Nodule ...

Plant Phenomics (2021)

Talukder Zaki Jubery, Clayton N. Carley, Arti Singh, Soumik Sarkar, et al.

Nodules form on plant roots through the symbiotic relationship between soybean (Glycine max L. Merr.) roots and bacteria (Bradyrhizobium japonicum) ...

Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding ...

Plant Phenomics (2021)

Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, et al.

Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. ...

Biochar-Swine Manure Impact on Soil Nutrients and Carbon Under Controlled ...

Frontiers in Environmental Science (2021)

Chumki Banik, Jacek A. Koziel, Mriganka De, Darcy Bonds, et al.

Biochar application to the soil can improve soil quality and nutrient leaching loss from swine manure adapted soils. Our working ...

Comparing Biochar-Swine Manure Mixture to Conventional Manure Impact on Soil ...

Chumki Banik, Jacek A. Koziel, Darcy Bonds, Asheesh K. Singh, et al.

The use of swine manure as a source of plant nutrients is one alternative to synthetic fertilizers. However, conventional manure ...

Soybean Root System Architecture Trait Study through Genotypic, Phenotypic, and ...

Plant Phenomics (2020)

Kevin G. Falk, Talukder Zaki Jubery, Jamie A. O’Rourke, Arti Singh, et al.

We report a root system architecture (RSA) traits examination of a larger scale soybean accession set to study trait genetic ...

Mapping quantitative trait loci associated with leaf rust resistance in ...

PLoS ONE (2020)

Firdissa E. Bokore, Ron E. Knox, Richard D. Cuthbert, Curtis J. Pozniak, et al.

Growing resistant wheat (Triticum aestivum L) varieties is an important strategy for the control of leaf rust, caused by Puccinia ...

Computer vision and machine learning enabled soybean root phenotyping pipeline

Plant Methods (2020)

Kevin G. Falk, Talukder Z. Jubery, Seyed V. Mirnezami, Kyle A. Parmley, et al.

Background Root system architecture (RSA) traits are of interest for breeding selection; however, measurement of these traits is difficult, resource ...

Deconstructing the genetic architecture of iron deficiency chlorosis in soybean ...

BMC Plant Biology (2020)

Teshale Assefa, Jiaoping Zhang, R. V. Chowda-Reddy, Adrienne N. Moran Lauter, et al.

Background: Iron (Fe) is an essential micronutrient for plant growth and development. Iron deficiency chlorosis (IDC), caused by calcareous soils ...

Machine Learning Approach for Prescriptive Plant Breeding

Scientific Reports (2019)

Kyle A. Parmley, Race H. Higgins, Baskar Ganapathysubramanian, Soumik Sarkar, et al.

We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with a machine learning (ML) approach to provide ...

Plant disease identification using explainable 3D deep learning on hyperspectral ...

Plant Methods (2019)

Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh, Soumik Sarkar, et al.

Background Hyperspectral imaging is emerging as a promising approach for plant disease identification. The large and possibly redundant information contained ...

Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions ...

Plant Phenomics (2019)

Kyle Parmley, Koushik Nagasubramanian, Soumik Sarkar, Baskar Ganapathysubramanian, et al.

The rate of advancement made in phenomic-assisted breeding methodologies has lagged those of genomic-assisted techniques, which is now a critical ...

Haplotype Loci Under Selection in Canadian Durum Wheat Germplasm Over ...

Frontiers in Plant Science (2018)

Amidou N'Diaye, Jemanesh K. Haile, Kirby T. Nilsen, Sean Walkowiak, et al.

Durum wheat was introduced in the southern prairies of western Canada in the late nineteenth century. Breeding efforts have mainly ...

High density genetic mapping of Fusarium head blight resistance QTL ...

PloS ONE (2018)

Ehsan Sari, Samia Berraies, Ron E. Knox, Asheesh K. Singh, et al.

Breeding for Fusarium head blight (FHB) resistance in durum wheat is complicated by the quantitative trait expression and narrow genetic ...

AAC Viewfield Hard Red Spring Wheat

Canadian Journal of Plant Science (2018)

R. D. Cuthbert, R. M. DePauw, A. K. Singh, B. McCallum, et al.

AAC Viewfield hard red spring wheat (Triticum aestivum L.) has grain yield significantly higher than the check cultivars Katepwa and ...

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

Trends in Plant Science (2018)

Asheesh Kumar Singh, Baskar Ganapathysubramanian, Soumik Sarkar and Arti Singh

Deep learning (DL), a subset of machine learning approaches, has emerged as a versatile tool to assimilate large amounts of ...

Multi-objective optimized genomic breeding strategies for sustainable food improvement

Heredity (2018)

Deniz Akdemir, William D, Beavis, Roberto Fritsche-Neto, Asheesh K. Singh, et al.

The purpose of breeding programs is to obtain sustainable gains in multiple traits while controlling the loss of genetic variation. ...

A Novel Multirobot System for Plant Phenotyping

Robotics (2018)

Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, et al.

Phenotypic studies require large datasets for accurate inference and prediction. Collecting plant data in a farm can be very labor ...

A deep learning framework to discern and count microscopic nematode ...

Scientific Reports (2018)

Adedotun Akintayo, Gregory L. Tylka, Asheesh K. Singh, Baskar Ganapathysubramanian, et al.

In order to identify and control the menace of destructive pests via microscopic image-based identification state-of-the art deep learning architecture ...

AAC W1876 hard red spring wheat

Canadian Journal of Plant Science (2018)

R. D. Cuthbert, R. M. DePauw, R. E. Knox, A. K. Singh, et al.

AAC W1876 hard red spring wheat (Triticum aestivum L.) has grain yield and time to maturity within the range of ...

Agronomic Advancement in Tillage, Crop Rotation, Soil Health, and Genetic ...

Agronomy (2018)

Lin Li, Yuefeng Ruan, Ron M. DePauw, Asheesh K. Singh, et al.

The global demands for various grains, including durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.), are expected to increase ...

An explainable deep machine vision framework for plant stress phenotyping

Proceedings of the National Academy of Sciences (2018)

Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, et al.

Current approaches for accurate identification, classification, and quantification of biotic and abiotic stresses in crop research and production are predominantly ...

High-density genetic mapping of a major QTL for resistance to ...

PloS ONE (2018)

Sachin Kumar, Ron E. Knox, Asheesh K. Singh, Ron M. DePauw, et al.

Loose smut, caused by Ustilago tritici (Pers.) Rostr., is a systemic disease of tetraploid durum wheat (Triticum turgidum L.). Loose ...

Hyperspectral band selection using genetic algorithm and support vector machines ...

Plant Methods (2018)

Koushik Nagasubramanian, Sarah Jones, Soumik Sarkar, Asheesh K. Singh, et al.

Background: Charcoal rot is a fungal disease that thrives in warm dry conditions and affects the yield of soybeans and ...

Genetic Architecture of Charcoal Rot (Macrophomina phaseolina) Resistance in Soybean ...

Frontiers in Plant Science (2017)

Sara M. Coser, R. V. Chowda Reddy, Jiaoping Zhang, Daren S. Mueller, et al.

Charcoal rot (CR) disease caused by Macrophomina phaseolina is responsible for significant yield losses in soybean production. Among the methods ...

Leveraging genomic prediction to scan germplasm collection for crop improvement

PLoS ONE (2017)

Leonardo de Azevedo Peixoto, Tara C. Moellers, Jiaoping Zhang, Aaron J. Lorenz, et al.

The objective of this study was to explore the potential of genomic prediction (GP) for soybean resistance against Sclerotinia sclerotiorum ...