A5067470332- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Soybean genetics and cultivation
- Genetic and phenotypic traits in livestock
- Legume Nitrogen Fixing Symbiosis
- Wheat and Barley Genetics and Pathology
- Plant pathogens and resistance mechanisms
- Crop Yield and Soil Fertility
- Bioenergy crop production and management
- Biofuel production and bioconversion
- Plant Micronutrient Interactions and Effects
- Phytase and its Applications
- Nematode management and characterization studies
- Rice Cultivation and Yield Improvement
- Plant nutrient uptake and metabolism
- Plant Virus Research Studies
- Remote Sensing and LiDAR Applications
- Ruminant Nutrition and Digestive Physiology
- Remote Sensing in Agriculture
- Agricultural pest management studies
- Agronomic Practices and Intercropping Systems
- Food composition and properties
- Turfgrass Adaptation and Management
- Leaf Properties and Growth Measurement
- Agriculture Sustainability and Environmental Impact
University of Minnesota
2016-2025
Twin Cities Orthopedics
2021-2024
Brazilian Agricultural Research Corporation
2024
Weatherford College
2024
University of Minnesota System
2021-2024
University of Nebraska–Lincoln
2014-2023
Minnesota Department of Agriculture
2022
Cornell University
2010-2020
University of Minnesota, Waseca
2019-2020
Institute of Plant Genetics, Polish Academy of Sciences
2017
ABSTRACT Advancements in genotyping are rapidly decreasing marker costs and increasing genome coverage. This is facilitating the use of marker‐assisted selection (MAS) plant breeding. Commonly employed MAS strategies, however, not well suited for agronomically important complex traits, requiring extra time field‐based phenotyping to identify superior lines. Genomic (GS) an emerging alternative that uses all information calculate genomic estimated breeding values (GEBVs) traits. Selections...
ABSTRACT Fusarium head blight (FHB),is a devastating disease of barley ( Hordeum vulgare L.), causing reductions in yield and quality. Marker‐based selection for resistance to FHB lowered deoxynivalenol (DON) grain concentration would save considerable costs time associated with phenotyping. A marker‐based approach called genomic (GS) uses genomewide marker information predict genetic value. We used cross‐validation that separated training sets from validation by both entry environment. this...
Advances in genotyping technology, such as by sequencing (GBS), are making genomic prediction more attractive to reduce breeding cycle times and costs associated with phenotyping. Genomic selection has been studied several crop species, but no reports exist soybean. The objectives of this study were (i) evaluate prospects for using GBS a typical soybean program (ii) the effect marker imputation on accuracy. To achieve these objectives, set lines sampled from University Nebraska Soybean...
Population structure analyses and genome‐wide association studies (GWAS) conducted on crop germplasm collections provide valuable information the frequency distribution of alleles governing economically important traits. The value these is substantially enhanced when accession numbers can be increased from ∼1,000 to ∼10,000 or more. In this research, we first comprehensive analysis population collection 14,000 soybean accessions [ Glycine max (L.) Merr. G. soja Siebold & Zucc.] using a...
ABSTRACT The use of maize ( Zea mays L.) stover as a feedstock for cellulosic biofuels production will create demand hybrids with greater yield. It is expected that grain yield remain the most critical trait and continue to drive hybrid sales, requiring any increases in be made without sacrificing potential. objective this review was determine relationship between yield, harvest index, illuminate potential increasing both through breeding. In contrast what has been observed other crops,...
ABSTRACT One of the most important factors affecting genomic prediction accuracy appears to be training population (TP) composition. The objective this study was evaluate effect relationship on and determine if adding increasingly unrelated individuals a TP can reduce accuracy. To accomplish this, barley ( Hordeum vulgare L.) lines from University Minnesota (lines denoted as MN) North Dakota State ND) breeding programs were used for model training. Predictions validated using two independent...
Remote sensing by Unmanned Aerial Vehicles (UAVs) is changing the way agriculture operates increasing spatial-temporal resolution of data collection. Micro-UAVs have potential to further improve and enrich collected operating close crops, enabling collection higher spatio-temporal data. In this paper, we present a UAV-mounted measurement system that utilizes laser scanner compute crop heights, critical indicator health. The filters, transforms, analyzes cluttered range in real-time determine...
Abstract Allocating resources between population size and replication affects both genetic gain through phenotypic selection quantitative trait loci detection power effect estimation accuracy for marker-assisted (MAS). It is well known that because alleles are replicated across individuals in mapping MAS, more should be allocated to increasing compared with selection. Genomic a form of MAS using all marker information simultaneously predict individual values complex traits has widely been...
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...
Genome-wide association studies (GWAS) may benefit from utilizing haplotype information for making marker-phenotype associations. Several rationales grouping single nucleotide polymorphisms (SNPs) into blocks exist, but any advantage depend on such factors as genetic architecture of traits, patterns linkage disequilibrium in the study population, and marker density. The objective this was to explore utility haplotypes GWAS barley (Hordeum vulgare) offer a first detailed look at approach...
Genomic selection (GS) unlike marker-assisted backcrossing (MABC) predicts breeding values of lines using genome-wide marker profiling and allows prior to field-phenotyping, thereby shortening the cycle. A collection 320 elite was selected phenotyped extensively for yield related traits at two different locations (Delhi Patancheru, India) during crop seasons 2011-12 2012-13 under rainfed irrigated conditions. In parallel, these were also genotyped DArTseq platform generate data on 3,000...
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...
Salinity is a major factor limiting crop productivity. Rice (Oryza sativa), staple for the majority of world, highly sensitive to salinity stress. To discover novel sources genetic variation salt tolerance-related traits in rice, we screened 390 diverse accessions under 14 days moderate (9 dS·m-1) salinity. In this study, shoot growth responses levels were independent tissue Na+ content. A significant difference root content was observed between subpopulations with indica displaying higher...
Abstract The identification and mobilization of useful genetic variation from germplasm banks for use in breeding programs is critical future gain protection against crop pests. Plummeting costs next-generation sequencing genotyping revolutionizing the way which researchers breeders interface with plant collections. An example this high density entire USDA Soybean Germplasm Collection. We assessed usefulness 50K single nucleotide polymorphism data collected on 18,480 domesticated soybean...
Genomic prediction (GP) is now routinely performed in crop plants to predict unobserved phenotypes. The use of predicted phenotypes make selections an active area research. Here, we evaluate GP for predicting grain yield and compare genomic phenotypic selection by tracking lines advanced. We examined four independent nurseries F3:6 F3:7 trialed at 6 10 locations each year. Yield was analyzed using mixed models that accounted experimental design spatial variations. Genotype-by-sequencing...
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...
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...
Genetic improvement toward optimized and stable agronomic performance of soybean genotypes is desirable for food security. Understanding how perform in different environmental conditions helps breeders develop sustainable cultivars adapted to target regions. Complex traits importance are known be controlled by a large number genomic regions with small effects whose magnitude direction modulated factors. Knowledge the constraints undesirable resulting from genotype interactions key objective...
The many quantitative traits of interest to plant breeders are often genetically correlated, which can complicate progress from selection. Improving multiple may be enhanced by identifying parent combinations - an important breeding step that will deliver more favorable genetic correlations (rG ). Modeling the segregation genomewide markers with estimated effects one method predicting rG in a cross, but this approach remains untested. Our objectives were to: (i) use simulations assess...
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...
Iron deficiency chlorosis (IDC) is an abiotic stress in soybean [Glycine max (L.) Merr.] that causes significant yield reductions. Symptoms of IDC include interveinal and stunting the plant. While there are management practices can overcome these drastic losses, preferred way to manage growing tolerant varieties. To develop varieties IDC, breeders may easily phenotype up thousands candidate lines every year for severity symptoms related a task traditionally done with 1–5 visual rating scale....
ABSTRACT Maize ( Zea mays L.) stover has been identified as an important feedstock for the production of cellulosic ethanol. Our objectives were to measure hybrid effect and combining ability patterns traits related ethanol production, determine if germplasm mutations used silage would also be beneficial examine relationships between that are relevant selective breeding. We evaluated grain hybrids, bred brown‐midrib a leafy hybrid. Yield composition measured in four environments. There was...