A5047024648- Soybean genetics and cultivation
- Legume Nitrogen Fixing Symbiosis
- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Plant pathogens and resistance mechanisms
- Genetic and phenotypic traits in livestock
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Phytase and its Applications
- Agronomic Practices and Intercropping Systems
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Agricultural pest management studies
- Spectroscopy and Chemometric Analyses
- Plant responses to elevated CO2
- Crop Yield and Soil Fertility
- Folate and B Vitamins Research
- Plant Pathogens and Fungal Diseases
- Plant Micronutrient Interactions and Effects
- Plant Pathogens and Resistance
- Nematode management and characterization studies
- Lipid metabolism and biosynthesis
- Gene expression and cancer classification
- Soil Moisture and Remote Sensing
- Research in Cotton Cultivation
Purdue University West Lafayette
2012-2024
State Street (United States)
2019-2023
Virginia Tech
2008-2011
Zhejiang Gongshang University
2008
Cornell University
2005
University of Georgia
2004
Abstract We report genetic maps for diploid (D) and tetraploid (AtDt) Gossypium genomes composed of sequence-tagged sites (STS) that foster structural, functional, evolutionary genomic studies. The include, respectively, 2584 loci at 1.72-cM (∼600 kb) intervals based on 2007 probes 763 1.96-cM (∼500 detected by 662 (D). Both cottons exhibit negative crossover interference; i.e., double recombinants are unexpectedly abundant. found no major structural changes between Dt D chromosomes, but...
A set of nested association mapping (NAM) families was developed by crossing 40 diverse soybean [ (L.) Merr.] genotypes to the common cultivar. The 41 parents were deeply sequenced for SNP discovery. Based on polymorphism single-nucleotide polymorphisms (SNPs) and other selection criteria, a SNPs selected be included in SoyNAM6K BeadChip genotyping 5600 RILs from families. Analysis profiles showed low average recombination rate. We constructed genetic linkage maps each family composite map...
Abstract Soybean is the world’s leading source of vegetable protein and demand for its seed continues to grow. Breeders have successfully increased soybean yield, but genetic architecture yield key agronomic traits poorly understood. We developed a 40-mating nested association mapping (NAM) population 5,600 inbred lines that were characterized by single nucleotide polymorphism (SNP) markers six in field trials 22 environments. Analysis agronomic, SNP data revealed 23 significant marker-trait...
Digital imagery can help to quantify seasonal changes in desirable crop phenotypes that be treated as quantitative traits. Because limitations precise and functional phenotyping restrain genetic improvement the postgenomic era, imagery-based phenomics could become next breakthrough accelerate gains field crops. Whereas many phenomic studies focus on exploratory analysis of spectral data without obvious interpretative value, we used images directly measure soybean canopy development from...
Many economically important traits in plant breeding have low heritability or are difficult to measure. For these traits, genomic selection has attractive features and may boost genetic gains. Our goal was evaluate alternative scenarios implement for yield components soybean (Glycine max L. merr). We used a nested association panel with cross validation the impacts of training population size, genotyping density, prediction model on accuracy prediction. results indicate that size factor most...
Abstract Motivation: Mixed linear models provide important techniques for performing genome-wide association studies. However, current have pitfalls associated with their strong assumptions. Here, we propose a new implementation designed to overcome some of these using an empirical Bayes algorithm. Results: Here introduce NAM, R package that allows user take into account prior information regarding population stratification relax the linkage phase assumption methods. It markers be treated as...
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...
Nowadays, automated phenotyping of plants is essential for precise and cost-effective improvement in the efficiency crop genetics. In recent years, machine learning (ML) techniques have shown great success classification modelling parameters. this research, we consider capability ML to perform grain yield prediction soybeans by combining data from different optical sensors via RF (Random Forest) XGBoost (eXtreme Gradient Boosting). During 2018 growing season, a panel 382 soybean recombinant...
Abstract Background In the early stages of plant breeding programs high-quality phenotypes are still a constraint to improve genetic gain. New field-based high-throughput phenotyping (HTP) platforms have capacity rapidly assess thousands plots in field with high spatial and temporal resolution, potential measure secondary traits correlated yield throughout growing season. These may be key select more time most efficiently soybean lines potential. Soybean average canopy coverage (ACC),...
Photosynthesis (A) and intrinsic water use efficiency (WUE) are physiological traits directly influencing biomass production, conversion efficiency, grain yield. Though the influence of process on yield is widely known, studies assessing improvement strategies rare due to laborious phenotyping specialized equipment needs. This one first assess genetic architecture underlying photosynthesis as well evaluate feasibility implementing genomic prediction. A panel 383 soybean recombinant inbred...
Yield components of 24 common bean (Phaseolus vulgaris L.) genotypes were evaluated following exposure during reproductive development to four greenhouse day/night temperature treatments (24 °C/21 °C, 27 °C/24 30 °C/27 °C and 33 °C/30 °C). Genotypes included 12 snap beans, two wax six dry accessions; 18 previously described as heat-tolerant three heat-sensitive controls. The highest treatment reduced seed number, pod mean weight seeds/pod an average 83%, 63%, 47%, 73%, respectively. A heat...
The genetic basis for heat tolerance during reproductive development in snap bean was investigated a heat-tolerant × heat-sensitive common cross. Parental, F 1 , 2 and backcross generations of cross between the breeding line `Cornell 503' wax cultivar Majestic were grown high-temperature controlled environment (32 °C day/28 night), initiated prior to anthesis continued through plant senescence. During flowering, individual plants all visually rated scored extent abscission organs....
Soybean [ Glycine max (L.) Merr.] is an important source of protein and vegetable oil. Genetic improvement soybean seed yield composition are ultimate breeding goals. During the past 80 yr, breeders have selected for high other desired traits to make genetic improvements. To quantify changes yield, stability, agronomic end‐use quality traits, we evaluated 93 cultivars in Maturity Groups (MG) V, VI, VII that were released from 1928 2008. Replicated trials specific each MG set conducted during...
Success in genome-wide association studies and marker-assisted selection depends on good phenotypic genotypic data. The more complete this data is, the powerful will be results of analysis. Nevertheless, there are next-generation technologies that seek to provide information spite great proportions missing procedures these use impute genetic data, therefore, greatly affect downstream analyses. This study aims (1) compare variance a single-nucleotide polymorphism panel soybean with imputed...
Understanding temporal accumulation of soybean above-ground biomass (AGB) has the potential to contribute yield gains and development stress-resilient cultivars. Our main objectives were develop a high-throughput phenotyping method predict AGB over time reveal its quantitative genomic properties. A subset SoyNAM population ( n = 383) was grown in multi-environment trials destructive measurements collected along with multispectral RGB imaging from 27 83 days after planting (DAP). We used...
ABSTRACT Development of soybeans [ Glycine max (L.) Merr.] with modified phosphorus (P) and sugar composition adds value to soybean meal. The identification release the line V99‐5089 a mutation in D‐ myo ‐inositol 3‐phosphate synthase 1 gene ( MIPS1 ) provides germplasm source that dually enhances both P soybeans. An evaluation recombinant inbred population from cross × Essex was completed at three environments 2 yr. Phenotypic selection for slightly more effective than marker‐assisted...
Whole-genome regressions methods represent a key framework for genome-wide prediction, cross-validation studies, and association analysis. The bWGR offers compendium of Bayesian with various priors available, allowing users to predict complex traits different genetic architectures.
Cost-effective phenotyping methods are urgently needed to advance crop genetics in order meet the food, fuel, and fiber demands of coming decades. Concretely, characterizing plot level traits fields is particular interest. Recent developments high-resolution imaging sensors for UAS (unmanned aerial systems) focused on collecting detailed phenotypic measurements a potential solution. We introduce canopy roughness as new plant plot-level trait. tested its usability with soybean by optical data...
Soybean seeds produce valuable protein that is a major component of livestock feed. However, soybean also contain the anti-nutritional raffinose family oligosaccharides (RFOs) and stachyose, which are not digestible by non-ruminant animals. This requires proportion meal in feed to be limited, or risk affecting animal growth rate overall health. While reducing RFOs seed has been goal breeding, efforts constrained low genetic variability for carbohydrate traits difficulty identifying these...
Soybean is a crop of major economic importance with low rates genetic gains for grain yield compared to other field crops. A deeper understanding the architecture components may enable better ways tackle breeding challenges. Key include total number pods, nodes and ratio pods per node. We evaluated SoyNAM population, containing approximately 5600 lines from 40 biparental families that share common parent, in 6 environments distributed across 3 years. The study indicates under evaluation have...