A5073310628- Soybean genetics and cultivation
- Legume Nitrogen Fixing Symbiosis
- Nematode management and characterization studies
- Plant pathogens and resistance mechanisms
- Genetics and Plant Breeding
- Banana Cultivation and Research
- Agronomic Practices and Intercropping Systems
- Agriculture, Plant Science, Crop Management
- Weed Control and Herbicide Applications
- Growth and nutrition in plants
- Phytase and its Applications
- Plant Pathogenic Bacteria Studies
- Agricultural pest management studies
- Genetic Mapping and Diversity in Plants and Animals
- Seed and Plant Biochemistry
- Cassava research and cyanide
- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Genetic and phenotypic traits in livestock
- Seed Germination and Physiology
- Plant responses to water stress
- Plant Pathogens and Fungal Diseases
- Plant Virus Research Studies
- Yeasts and Rust Fungi Studies
- Botany and Plant Ecology Studies
University of Arkansas at Fayetteville
2023-2024
University of Arkansas System
2024
United States Department of Agriculture
2024
University of Missouri
2019-2023
Delta Air Lines (United States)
2019-2023
Universidade de São Paulo
2015-2022
Mississippi Delta Community College
2022
Soybean [Glycine max (L.) Merr.] is a globally important crop due to its valuable seed composition, versatile feed, food, and industrial end-uses, consistent genetic gain. Successful gain in soybean has led widespread adaptation increased value for producers, processors, consumers. Specific focus on the nutritional quality of composition food feed further elucidated knowledge bolstered breeding progress. Seed components are historical current targets breeders seeking improve soybean. This...
Incorporating feature-engineered environmental data into machine learning-based genomic prediction models is an efficient approach to indirectly model genotype-by-environment interactions. Complementing phenotypic traits and molecular markers with high-dimensional such as climate soil information becoming a common practice in breeding programs. This study explored new ways combine non-genetic using learning. Using the multi-environment trial from Genomes To Fields initiative, different...
The availability of high-dimensional molecular markers has allowed plant breeding programs to maximize their efficiency through the genomic prediction a phenotype interest. Yield is complex quantitative trait whose expression sensitive environmental stimuli. In this research, we investigated potential incorporating soil texture information and its interaction with via covariance structures for enhancing predictive ability across scenarios. A total 797 soybean lines derived from 367 unique...
Weeds can cause significant yield losses and will continue to be a problem for agricultural production due climate change. Dicamba is widely used control weeds in monocot crops, especially genetically engineered dicamba-tolerant (DT) dicot such as soybean cotton, which has resulted severe off-target dicamba exposure substantial non-tolerant crops. There strong demand non-genetically DT soybeans through conventional breeding selection. Public programs have identified genetic resources that...
Soybean [Glycine max (L.) Merr.] represents one of the most essential crops to world's economy and food security due its unique seed composition. Public soybean breeding programs in United States played an important role developing genetic basis American discovering many economically traits. After passage Plant Variety Protection Act (PVP) 1970 authorization patent living matter 1980, private companies have dominated market share commercial varieties public shifted efforts towards basic...
The efficiency of crop breeding programs is evaluated by the genetic gain a primary trait interest, e.g., yield, achieved in 1 year through artificial selection advanced materials. Conventional select superior genotypes using (yield) based on combine harvesters, which labor-intensive and often unfeasible for single-row progeny trials (PTs) due to their large population, complex behavior, high genotype-environment interaction. goal this study was investigate performance selecting soybean...
The wide adoption of dicamba-tolerant (DT) soybean has led to numerous cases off-target dicamba damage non-DT and dicot crops. This study aimed develop a method differentiate response using unmanned-aerial-vehicle-based imagery machine learning models. Soybean lines were visually classified into three classes injury, i.e., tolerant, moderate, susceptible dicamba. A quadcopter with built-in RGB camera was used collect images field plots at height 20 m above ground level. Seven image features...
The availability of high-dimensional genomic data and advancements in genome-based prediction models (GP) have revolutionized contributed to accelerated genetic gains soybean breeding programs. GP-based sparse testing is a promising concept that allows increasing the capacity genotypes environments, or environments at fixed cost, substantial reduction costs capacity. This study represents first attempt implement soybeans by evaluating different training set compositions going from...
Abstract Southern root‐knot nematode (SRKN) is one of the most yield‐suppressing pathogens in soybean [( Glycine max (L.) Merr.] United States. With limited chemical and cultural management options, use genetic resistance efficient economical approach to control SRKN. A major quantitative trait locus (QTL) mapped chromosome 10 primary source cultivars; however, studies have been conducted evaluate its efficacy minimizing yield suppression under field conditions with SRKN pressure. This study...
‘S11‐20124C’ (Reg. No. CV‐532, PI 689118) is a high‐yielding semi‐determinate early maturity group V (5.1) conventional soybean [ Glycine max (L.) Merr.] cultivar developed and released in 2017 by the University of Missouri–Fisher Delta Research Center Soybean Breeding program. It was through breeding from cross between ‘S05‐11482’ × ‘S06‐4649RR’. The development became advantageous due to premium prices offered for non–genetically modified products, as well lower seed costs compared with...
Abstract In soybean, stink bugs are considered the most important pest insect as they feed directly from grain, causing significant losses in seed yield and quality. The use of resistant genotypes is a promising strategy to control these insects. Focusing on selection soybean lines with resistance high potential, 251 recombinant inbred ( RIL s), derived cross between IAC ‐100 (resistant) CD ‐215 (susceptible), were evaluated two experiments, designed alpha‐lattice, three replicates...
Abstract High demand for early‐maturing conventional (non‐genetically modified [GMO]) high‐oil soybean [ Glycine max (L.) Merr.] cultivars in the food and special niche markets led to development release of ‘S13‐2743C’ (Reg. no. CV‐538, PI 695097). It is a tall, early maturity group IV (relative 4.1) non‐GMO developed released by University Missouri–Fisher Delta Research Center breeding program. This maturing, indeterminate type cultivar desired growers southern United States plant along...
Abstract ‘S13‐3851C’ (Reg. no. CV‐541, PI 698653) is an early maturity group IV (relative 4.4) conventional soybean [ Glycine max (L.) Merr.] cultivar released by the University of Missouri–Fisher Delta Research Center Soybean Breeding Program. It was developed from a breeding scheme focusing on parental traits including high oil content, multiple disease resistance, and yielding potential. S13‐3851C has purple flowers, light tawny pubescence, tan pod wall, indeterminate growth habit. Seeds...
Abstract Since the commercialization and widespread adoption of dicamba‐tolerant (DT) soybean cultivars across United States, numerous cases off‐target damage to non‐DT have been reported. Soybean is naturally highly sensitive dicamba, a synthetic auxin herbicide. Previous studies focused on understanding impact growth stage, dosage, frequency, duration dicamba exposure severity symptomology yield loss. To date, little research has investigated effect genetic components in observed...
Abstract R16‐45 (Reg. no. GP‐526, PI 704118) is a high‐yielding soybean [ Glycine max (L.) Merr.] breeding line with flood tolerance at early reproductive stages released as germplasm by the Arkansas Agricultural Experiment Station in 2023. It an F 2 selection from cross between flood‐tolerant R07‐6669 and cultivar ‘UA 5612’. conventional (non‐genetically modified) relative maturity of 5.6. Plants have determinate growth habit, white flower color, buff hilum color. has gray pubescence, tan...
Abstract S14‐15146GT (Reg. no. CV‐534, PI 691841) is a late‐maturity group IV (relative maturity 4.6) indeterminate glyphosate‐tolerant soybean [ Glycine max (L.) Merr.] cultivar developed and released by the University of Missouri Fisher Delta Research Center Soybean Breeding program. High global demand for oil US southern growers’ preference taller plants with early led to release this cultivar. was evaluated in 130 environments across 10 states showed high yield potential wide adaptation...
Abstract The conventional Maturity Group V soybean [ Glycine max (L). Merr.] cultivar ‘S13‐1955C’ (Reg. no. CV‐540, PI 695317) was developed and released by the University of Missouri–Fisher Delta Research Center breeding program in 2019. Plants S13‐1955C have determinate growth habit, white flowers, tawny pubescence, tan pod wall, seed with black hilum. It has high oil content (227.4 g kg −1 ) broad disease resistance including cyst nematode, southern root‐knot reniform sudden death...
Abstract ‘S16‐5503GT’ (Reg. no. CV‐555, PI 700002) is a semi‐determinate, late‐maturity group IV (relative maturity, 4.8), glyphosate‐tolerant, high‐yielding soybean [ Glycine max (L.) Merr.] cultivar developed and released in 2021 by the University of Missouri‐Fisher Delta Research, Extension, Education Center (MU‐FDREEC) breeding program. Southern U.S. growers’ preference for high‐yielding, early‐maturing cultivars with glyphosate tolerance broad disease resistance motivated development...
Abstract ‘S14‐9017GT’ (Reg. no. CV‐536, PI 693755) is a Maturity Group V high‐yielding glyphosate‐tolerant soybean [ Glycine max (L) Merr.] cultivar developed and released in 2017 by the University of Missouri–Fisher Delta Research Center Soybean Breeding Program. S14‐9017GT was conventional breeding from cross between ‘LD07‐3419’ ‘S08‐9727RR1’. The parent S08‐9727RR1 line that carries GTS 40‐3‐2 transgene discovered Monsanto Co. other parent, LD07‐3419, Illinois program. Before release,...
Southern root-knot nematode [SRKN, Meloidogyne incognita (Kofold & White) Chitwood] is a plant-parasitic challenging to control due its short life cycle, wide range of hosts, and limited management options, which genetic resistance the main option efficiently damage caused by SRKN. To date, major quantitative trait locus (QTL) mapped on chromosome (Chr.) 10 plays an essential role in SRKN soybean varieties. The confidence discovered trait-loci associations traditional methods often...
Abstract Given the magnitude of production losses caused by biotic and abiotic stressors in soybean [ Glycine max (L.) Merr.], breeding programs have devoted great efforts to developing high‐yielding cultivars with enhanced genetic resistance multiple stressors. In this context, University Missouri–Fisher Delta Research, Extension, Education Center developed released cultivar ‘S16‐3747GT’ (Reg. no. CV‐552, PI 700001). It is a determinate maturity group 5 early (relative 5.0) Roundup Ready 2...