Martin Bohn

ORCID: 0000-0003-2364-6229
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About
Contact & Profiles
Research Areas
  • Genetics and Plant Breeding
  • Genetic Mapping and Diversity in Plants and Animals
  • Wheat and Barley Genetics and Pathology
  • Genetic and phenotypic traits in livestock
  • Manufacturing Process and Optimization
  • Insect Resistance and Genetics
  • Crop Yield and Soil Fertility
  • Flexible and Reconfigurable Manufacturing Systems
  • Advanced Measurement and Metrology Techniques
  • Nematode management and characterization studies
  • Insect Pest Control Strategies
  • Plant nutrient uptake and metabolism
  • Additive Manufacturing and 3D Printing Technologies
  • Advancements in Photolithography Techniques
  • Genetic diversity and population structure
  • Mycotoxins in Agriculture and Food
  • Food composition and properties
  • Metal Forming Simulation Techniques
  • Insect-Plant Interactions and Control
  • Phytochemicals and Antioxidant Activities
  • Advanced Numerical Analysis Techniques
  • Insect and Pesticide Research
  • Legume Nitrogen Fixing Symbiosis
  • Product Development and Customization
  • CRISPR and Genetic Engineering

University of Illinois Urbana-Champaign
2014-2024

Synopsys (Germany)
2019-2024

Goodwin College
2003-2021

Mercedes-Benz (Germany)
2017-2021

Daimler (United Kingdom)
2019

Daimler (Germany)
2011-2018

Center for Genomic Science
2000-2017

University of Missouri
2009

National Center for Supercomputing Applications
2006-2008

Urbana University
2004

The efficiency of breeding programs could be increased by predicting the prospects crosses for line development before producing and testing lines derived from them. In this study, we (i) assessed level genetic diversity among German Austrian winter wheat ( Triticum aestivum L.) cultivars using 117 restriction fragment length polymorphism (RFLP) probes, 16 amplified (AFLP) primer combinations, 21 simple sequence repeat (SSR) pairs, (ii) investigated correlation between coancestry f )...

10.2135/cropsci1999.0011183x003900010035x article EN Crop Science 1999-01-01

Marker‐assisted selection can accelerate recovery of the recurrent parent genome (RPG) in backcross breeding. In this study, we used computer simulations to compare strategies with regard (i) proportion RPG recovered and (ii) number marker data points (MDP) required a program designed for introgression one target allele from donor line into recipient line. Simulations were performed published maize ( Zea mays L.) genetic map consisting 80 markers. Selection was based on phenotypic...

10.2135/cropsci1999.3951295x article EN Crop Science 1999-09-01

Heterotic groups and patterns are of fundamental importance in hybrid breeding maize ( Zea mays L.). The major goal this study was to investigate the relationship between heterosis genetic distance determined with simple sequence repeat (SSR) markers. objectives our research were (i) compare diversity within seven tropical populations, (ii) test alternative hypotheses on panmictic midparent (PMPH) distances SSR markers, (iii) evaluate use markers for grouping germplasm establishing heterotic...

10.2135/cropsci2003.1275 article EN Crop Science 2003-07-01

ABSTRACT The International Maize and Wheat Improvement Center (CIMMYT) currently holds about 17 000 samples of maize ( Zea mays L.) teosinte Z. , several subspecies), a wild relative maize. Seven CIMMYT populations 57 inbreds were characterized by simple sequence repeat (SSR) markers. SSRs chosen from almost every bin in the genetic map tested for repeatability, ease automation allele calling, discrimination (information content). Eighty‐five found to be repeatable easily automated, run on...

10.2135/cropsci2002.1832 article EN Crop Science 2002-11-01

Remarkable productivity has been achieved in crop species through artificial selection and adaptation to modern agronomic practices. Whether intensive changed the ability of improved cultivars maintain high across variable environments is unknown. Understanding genetic control phenotypic plasticity genotype by environment (G × E) interaction will enhance performance predictions diverse environments. Here we use data generated from Genomes Fields (G2F) Maize G E project assess effect on...

10.1038/s41467-017-01450-2 article EN cc-by Nature Communications 2017-11-01

Prediction of single-cross performance has been a major goal plant breeders since the beginning hybrid breeding. Recently, genomic prediction shown to be promising approach, but only limited studies have examined accuracy predicting performance. Moreover, no potential single crosses among random inbreds derived from series biparental families, which resembles structure germplasm comprising initial stages maize breeding pipeline. The main objectives this study were evaluate for identifying...

10.1534/g3.116.031286 article EN cc-by G3 Genes Genomes Genetics 2016-10-07

Abstract High-dimensional and high-throughput genomic, field performance, environmental data are becoming increasingly available to crop breeding programs, their integration can facilitate genomic prediction within across environments provide insights into the genetic architecture of complex traits nature genotype-by-environment interactions. To partition trait variation additive dominance (main effect) corresponding genetic-by-environment variances, identify specific factors that influence...

10.1093/g3journal/jkaa050 article EN cc-by G3 Genes Genomes Genetics 2021-01-04

Genomic prediction provides an efficient alternative to conventional phenotypic selection for developing improved cultivars with desirable characteristics. New and methods genomic are continually being developed that attempt deal the integration of data types beyond information. Modern automated weather systems offer opportunity capture continuous on a range environmental parameters at specific field locations. In principle, this information could characterize training target environments...

10.3389/fgene.2020.592769 article EN cc-by Frontiers in Genetics 2021-03-08

Abstract Recruitment of microorganisms to the rhizosphere varies among plant genotypes, yet an understanding whether microbiome can be altered by selection on host is relatively unknown. Here, we performed a common garden study characterize recruitment microbiome, functional groups, for 20 expired Plant Variety Protection Act maize lines spanning chronosequence development from 1949 1986. This time frame brackets series agronomic innovations, namely improvements in breeding and application...

10.1038/s41396-021-00923-z article EN cc-by The ISME Journal 2021-03-10

In recurrent backcrossing designed for introgression of a target allele from donor into the genetic background parent (RP), molecular markers can accelerate recovery genome (RPG). The objectives this study were to determine in marker‐assisted (MAB) (i) optimum distances ( d 1 , 2 } between flanking and locus (ii) minimum number individuals n ) required obtaining with certain probability given that carry at have proportion on carrier chromosome. Analytical solutions tabulated results are...

10.2135/cropsci1999.0011183x003900040003x article EN Crop Science 1999-07-01

CIMMYT is the source of improved maize ( Zea mays L.) breeding material for a significant portion nontemperate growing world. Landraces which did not serve as sources germplasm may contain untapped allelic variation useful future progress. Information regarding levels diversity in different would help to identify broadening pools and seeking genes alleles that have been tapped modern breeding. The objectives this study were examine landraces, open pollinated varieties (OPVs), inbred lines...

10.2135/cropsci2007.02.0103 article EN Crop Science 2008-03-01

Maize ( Zea mays L.) produces high‐quality oil valued for oxidative stability and low concentrations of saturated fatty acids. The nutritional value maize could be improved by increasing the concentration oleic acid, a “heart‐friendly” monounsaturated acid. To identify quantitative trait loci (QTL) major acids constituting from kernels, we produced 150 backcross1‐derived S 1 (BC ) lines donor parent, Illinois High Oil (IHO), recurrent B73. There was positive phenotypic correlation between...

10.2135/cropsci2007.04.0208 article EN Crop Science 2008-01-01

Abstract Objectives Advanced tools and resources are needed to efficiently sustainably produce food for an increasing world population in the context of variable environmental conditions. The maize genomes fields (G2F) initiative is a multi-institutional effort that seeks approach this challenge by developing flexible distributed infrastructure addressing emerging problems. G2F has generated large-scale phenotypic, genotypic, datasets using publicly available inbred lines hybrids evaluated...

10.1186/s13104-020-4922-8 article EN cc-by BMC Research Notes 2020-02-12

Improved bread wheat ( Triticum aestivum L.) cultivars for diverse agroecological environments are important success in the effort to increase food production. In 1980s, CIMMYT introduced megaenvironment (ME) concept breed wheats specifically adapted different areas. Our objective was analyze genetic diversity among 68 advanced lines targeted MEs by using 99 simple sequence repeats (SSRs) and coefficient of parentage (COP). The average number alleles detected higher 47 genomic SSRs (5.4)...

10.2135/cropsci2004.3810 article EN Crop Science 2004-03-01

Sugarcane borer (SCB), Diatraea saccharalis Fabricius, is a serious pest in tropical maize production areas the Americas. Little known about genetic resistance of genotypes to this pest. In study, we mapped and characterized quantitative trait loci (QTL) affecting leaf feeding generation SCB (1SCB), grain yield under both protection (GYP) infestation (GYI) with larvae, plant height (PITT). A total 171 F 2 derived from cross CML131 (susceptible) × CML67 (resistant) 93 RFLP marker were used...

10.2135/cropsci1996.0011183x003600050045x article EN Crop Science 1996-09-01

Illinois long‐term selection strains of maize ( Zea mays L.) have been useful for identifying genomic regions controlling kernel oil, protein, and starch concentrations. To identify trait quantitative loci (QTL) in a genetic background more relevant to practical breeding, 150 BC 1 ‐derived S lines (BC s) were produced from High Oil recurrent parent B73. Oil, measured s Mo17‐topcross hybrids (TCs). Kernel mass grain yield TCs also determined. Starch was positively correlated with (r p =...

10.2135/cropsci2007.04.0205 article EN Crop Science 2008-01-01

The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (GxE) Prediction Competition aimed develop models for predicting grain yield the GxE project field trials, leveraging datasets previously generated this and other publicly available data.This resource used data from within G2F Initiative [1]. dataset included phenotypic genotypic of hybrids evaluated in 45 locations 2014 2022. Also, soil, weather, environmental covariates metadata information all environments (combination year...

10.1186/s13104-023-06421-z article EN cc-by BMC Research Notes 2023-07-17
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