A5000985088- Wheat and Barley Genetics and Pathology
- Soybean genetics and cultivation
- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Legume Nitrogen Fixing Symbiosis
- Plant pathogens and resistance mechanisms
- Crop Yield and Soil Fertility
- Plant Pathogens and Resistance
- Genetic and phenotypic traits in livestock
- Agronomic Practices and Intercropping Systems
- Mycotoxins in Agriculture and Food
- Plant Pathogens and Fungal Diseases
- Food composition and properties
- Plant Disease Resistance and Genetics
- Peanut Plant Research Studies
- Rice Cultivation and Yield Improvement
- Agricultural pest management studies
- Plant nutrient uptake and metabolism
- Weed Control and Herbicide Applications
- Phytase and its Applications
- Nematode management and characterization studies
- Plant Disease Management Techniques
- Plant Genetic and Mutation Studies
- Genetic and Environmental Crop Studies
- Phytoestrogen effects and research
The Ohio State University
2016-2025
CABI Kenya
2021
International Livestock Research Institute
2017-2020
The Ohio State University at Mansfield
2020
College of Wooster
2017-2018
University of Arkansas at Fayetteville
1996-2017
Chinese Academy of Agricultural Sciences
2017
Institute of Plant Protection
2017
University of Exeter
2016-2017
Sokoine University of Agriculture
2016-2017
Abstract This study examines genomic prediction within 8416 Mexican landrace accessions and 2403 Iranian stored in gene banks. The collections were evaluated separate field trials, including an optimum environment for several traits, two environments (drought, D heat, H) the highly heritable days to heading (DTH), maturity (DTM). Analyses accounting not population structure performed. Genomic models include genotype × interaction (G E). Two alternative strategies studied: (1) random...
Abstract Climate change and slow yield gains pose a major threat to global wheat production. Underutilized genetic resources including landraces wild relatives are key elements for developing high-yielding climate-resilient varieties. Landraces introduced into Mexico from Europe, also known as Creole wheats, adapted wide range of climatic regimes represent unique resource. Eight thousand four hundred sixteen representing all dimensions were characterized through genotyping-by-sequencing...
Grain yield is a trait of paramount importance in the breeding all cereals. In wheat (Triticum aestivum L.), has steadily increased since Green Revolution, though current rate increase not forecasted to keep pace with demand due growing world population and increasing affluence. While several genome-wide association studies (GWAS) on related component traits have been performed wheat, previous lack reference genome made comparisons between difficult. this study, GWAS for yield-related was...
There are many statistics to assess cultivar yield stability: some deal with genotype × environment interaction (GEI) patterns ( b i , and principal component scores), GEI noise s 2 di ), total sum of squares others rank changes [ S (1)]. Our objective was the repeatability in soybean Glycine max (L.) Merr.] different stability statistics. We evaluated nine derived from additive main effects mnitiplicative (AMMI) analyses, regression coefficients analyses using either yield‐based or plant...
A major goal of soybean [ Glycine max (L.) Merr.] breeding is the development and identification high yielding transgressive segregants. Populations that have greater genetic variations should, on average, more segregants than populations with lesser variance. The this research was to study whether distances between parents crosses were predictive which greatest variance for yield other agronomic traits. Genetic seed yield, plant height maturity date estimated three sets in field tests....
The majority of studies evaluating genomic selection (GS) for plant breeding have used single‐trait, single‐site models that ignore genotype × environment interaction (GEI) effects. However, such do not accurately reflect the complexities many applied programs, and previous papers found incorporate GEI effects multiple traits can increase accuracy estimated values (GEBVs). This study's goal was to test GS methods prediction in scenarios simulate early‐generation yield testing by correcting...
Genomic selection (GS) is a breeding tool that estimates values (GEBVs) of individuals based solely on marker data by using model built phenotypic and from training population (TP). The effectiveness GS increases as the correlation GEBVs phenotypes (accuracy) increases. Using genotypic TP 470 soft winter wheat lines, we assessed accuracy for grain yield, Fusarium Head Blight (FHB) resistance, softness equivalence (SE), flour yield (FY). Four sampling schemes were tested: (1) use all data,...
All red rice found in commercial the United States has traditionally been classified as Oryza sativa ssp. indica. This assumption was tested by analyzing samples collected from across southern belt with 18 simple sequence length polymorphism (SSLP) markers distributed all 12 chromosomes. The results clearly demonstrate that traditional classification of is inadequate. Some closely related to O. indica cultivated rice. However, other more japonica. Most importantly, some Arkansas, Louisiana,...
The reported genetic diversity of North American soybean [ Glycine max (L.) Merr.] cnitivars is low. Public and industry breeders have initiated programs to expand the diversity. This paper assesses impact diversification efforts on extent pattern among elite lines estimates Coefficient parentage (CP) analyses were performed with 122 from northern southern regions USA. average CP was 0.173: this value 0.233 lines, 0.261 0.100 between different regions. These values, an analysis number...
Sclerotinia stem rot, caused by the fungal pathogen sclerotiorum (Lib.) de Bary, has increased in importance for soybean [ Glycine max (L.) Merr.] recent years. The objectives of this research were to evaluate genotypes resistance rot over several field locations and compare these disease ratings with seed yields, other agronomic traits, parentage. Eighteen evaluated traits six Michigan environments 3 yr. average severity index (DSI) 18 at a single environment ranged from 2.1 49.9. Mean DSI...
Red rice is a major weed in production the southern United States. and intercross because they are same species. Our objectives were to determine genetic diversity represented by accessions of red identify DNA markers that might be useful identifying hybrids between cultivated rice. collected from Arkansas other rice-producing states. Seventy-nine accessions, 10 known or putative hybrid derivatives (RC hybrids), seven cultivars analyzed using microsatellite developed for Microsatellite...
ABSTRACT Over 70% of wheat ( Triticum aestivum L.) cultivars grown worldwide have a semidwarf phenotype controlled by the major genes Rht‐B1, Rht‐D1 , and Rht8c The objective this study was to determine their frequency in set historic modern soft hard winter central eastern USA. Three hundred sixty‐two that were developed from 1808 2008 evaluated with molecular markers for Rht‐B1 All released before 1964 (41 6 wheat) had wild‐type (tall) alleles at all three loci. After introduction dwarfing...
Phytophthora root and stem rot caused by sojae Kaufmann Gerdemann is one of the most severe soybean [Glycine max (L.) Merr] diseases in USA. Partial resistance as effective managing this disease single-gene (Rps gene)-mediated more durable. The objective study was to identify quantitative trait loci (QTL) associated with partial P. PI 398841, which originated from South Korea. A population 305 F7:8 recombinant inbred lines derived a cross OX20-8 × 398841 used evaluate against isolate C2S1...
Genetic diversity is limited in southern elite soybean [ Glycine max (L.) Merrill]. Introgression of diverse alleles for yield may increase the rate improvement. Beneficial at three quantitative trait loci (QTL) from northern cultivar Archer have been tagged with molecular markers. The objective this research was to assess value increased environments and genetic backgrounds. Four sets near isogenic lines (NIL) each locus were derived heterozygous F 6 plants identified crosses × Asgrow A5403...
Water‐saturated soils and flooding (submergence) can greatly reduce soybean [ Glycine max (L.) Merr.] yield. Mapping analyses with the simple sequence repeat (SSR) marker Sat_064 have identified a quantiative trait locus (QTL) for tolerance to waterlogging in cultivar Archer. Our objectives were evaluate effect of this QTL on southern environments genetic backgrounds, assess variability Archer derived populations. We used genotype data create seven sets NILs from populations A5403 × 9641 The...
In the past decade plant geneticists began using complex populations to identify QTL by association analysis, and practice is becoming commonplace. Plant present unique challenges for analyses. vary in complexity structure analyses generally derived from human genetics have been applied them a broad fashion. We review analytical techniques their application different populations. Analyses were classified as either family‐based (FBAA) or population‐based (PBAA). Over time, generalized...
ABSTRACT In this study we assess the genetic architecture of bread‐making quality traits in spring wheat ( Triticum aestivum L.). A mapping population derived from BR34 and ‘Grandin’ was used to measure 20 end‐use including six kernel, seven milling flour, four dough mixing strength, three traits. total 31 quantitative trait loci (QTL) significantly associated with all but two were identified. These QTL clustered five chromosomal regions, namely 1BS, 1DL, 4BL, 5BL, 6AS, explained a large...
ABSTRACT End‐use quality is vital to the wheat ( Triticum aestivum L.) industry. Understanding genetics of components needed for efficient genetic improvement. Our objectives were determine soft in a population derived from cultivars and validate results. We developed 171 families cross ‘Foster’ × Pioneer ‘25R26’ obtained data four environments. assessed flour yield (FY) protein (FP), softness equivalent (SE), water (WA), sodium carbonate (SO), sucrose (SU), lactic acid (LA) solvent...