A5060940164- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Wheat and Barley Genetics and Pathology
- Crop Yield and Soil Fertility
- Plant Virus Research Studies
- Plant Physiology and Cultivation Studies
- Genetic diversity and population structure
- Plant pathogens and resistance mechanisms
- Soybean genetics and cultivation
- Biofuel production and bioconversion
- Bioenergy crop production and management
- Photosynthetic Processes and Mechanisms
- Plant Reproductive Biology
- CRISPR and Genetic Engineering
- Evolution and Genetic Dynamics
- Rice Cultivation and Yield Improvement
- Mycotoxins in Agriculture and Food
- Chromosomal and Genetic Variations
- Soil Management and Crop Yield
- Oil Palm Production and Sustainability
- Botanical Research and Chemistry
- Plant tissue culture and regeneration
- Artificial Intelligence in Healthcare
- Agricultural Science and Fertilization
University of Minnesota
2016-2025
Purdue University West Lafayette
1998-2013
Institute of Plant Genetics, Polish Academy of Sciences
2001-2009
Limagrain (France)
1991-1996
In the mid‐1980s, development of abundant molecular markers, appropriate statistical procedures, and user‐friendly computer software that implemented these procedures permitted detection markers associated with quantitative trait loci (QTL) for complex traits. Marker‐assisted selection was then proposed as a means exploiting linked to QTL develop improved cultivars. But while thousands marker‐trait associations have been reported many traits in different plant species, far fewer examples...
The availability of cheap and abundant molecular markers in maize (Zea mays L.) has allowed breeders to ask how may best be used achieve breeding progress, without conditioning the question on traditionally been done. Genomewide selection refers marker-based first identifying a subset with significant effects. Our objectives were assess response due genomewide compared marker-assisted recurrent (MARS) determine extent which phenotyping can minimized genotyping maximized selection. We...
ABSTRACT Current methods for genomewide selection do not distinguish between known major genes and random markers. My objectives were to determine if explicitly modeling the effects of affects response selection, identify situations in which considering as having fixed is helpful. Simulation experiments showed that a effect gene became more advantageous percentage genetic variance ( V G ) explained by R 2 increased heritability on an entry‐mean basis h increased. With = 50% 0.80, relative...
Methods for predicting hybrid yield would facilitate the identification of superior maize ( Zea mays L.) single crosses. Best linear unbiased prediction performance crosses, based on (i) restriction fragment length polymorphism (RFLP) data parental inbreds and (ii) a related set was evaluated. Yields m crosses were predicted as Y M = C V −1 y P , where: × 1 vector yields missing (i.e., no available) crosses; n matrix genetic covariances between predictor hybrids; phenotypic variances among...
Genomewide selection (GWS) is marker‐assisted without identifying markers with significant effects. Our previous work the intermated B73 × Mo17 maize ( Zea mays L .) population revealed variation for grain yield and stover‐quality traits important cellulosic ethanol production. objectives were to determine (i) if realized gains from are larger GWS than recurrent (MARS), which involves effects; (ii) how multiple respond cycles of MARS. In 2007, testcrosses 223 recombinant inbreds developed...
In genomewide selection, the expected correlation between predicted performance and true genotypic value is a function of training population size ( N ), heritability on an entry‐mean basis h 2 effective number chromosome segments underlying trait M e ). Our objectives were to (i) determine how prediction accuracy different traits responds changes in , markers ) (ii) if equal across are kept constant. simulated four empirical populations maize Zea mays L.), barley Hordeum vulgare wheat...
In preliminary studies, best linear unbiased prediction (BLUP) has been found useful for identifying high‐yielding maize ( Zea mays L.) single crosses prior to field evaluation. this study, the effectiveness of BLUP large‐scale yield, moisture, stalk lodging, and root lodging was investigated. Multilocation data from 1990 1994 were obtained hybrid testing program Limagrain Genetics. For each 16 heterotic patterns, performance m untested predicted n tested as Y M = C MP pp ‐1 P , where × 1...
ABSTRACT Quantitative trait loci (QTLs) have been identified for numerous species since the 1990s using populations developed from biparental crosses. The most common methods of validating QTLs are to quantify their effects in additional mapping or test near‐isogenic lines (NILs) original population. These approaches QTL validation fail adequately examine effectiveness a breeders' populations. We an alternative method which NILs existing breeding segregating QTL. Our objective was validate...
Genomics and post‐genomics sciences are expected to uncover most, if not all, of the quantitative trait loci (QTL) in plants. Prior knowledge QTL locations can then be exploited marker‐assisted recurrent selection (MARS). Our objectives were determine (i) whether prior is advantageous MARS, (ii) themselves, as opposed markers linked QTL, MARS. We simulated MARS a maize ( Zea mays L.) F 2 population. found that when 10 controlled trait, percentage known maximized response was P Max = 100%. In...
ABSTRACT Phenotyping maize ( Zea mays L.) for drought tolerance is costly and time consuming. Our objectives were to determine (i) the heritability, genetic variance, correlations grain yield secondary traits in under (ii) efficiency of indirect selection through versus genomewide selection. Testcrosses 238 recombinant inbreds from intermated B73 × Mo17 population evaluated multilocation trials managed nondrought (control) conditions Minnesota 2009 2010. Mean was 52% mean control...
The length of time needed for prebreeding in adapted × exotic maize ( Zea mays L.) crosses has deterred breeders from exploiting germplasm. My objective this study was to determine, by simulation, the usefulness genomewide selection rapid improvement an cross. I simulated F 2 , BC 1 and populations inbred had favorable allele at L Adapted = 50 quantitative trait loci (QTL), whereas Exotic 50, 25, 10, or 5 QTL. joint effects 512 markers were fitted best linear unbiased prediction. For ≤...
ABSTRACT In genomewide selection, the expected correlation between predicted and true genotypic values ( r MG ) has been previously derived as a function of training population size N ), heritability h 2 effective number chromosome segments M e affecting trait. Our objectives were to determine: (i) mean variability in 969 biparental maize Zea mays L.) breeding populations for seven traits, (ii) if can be advance, (iii) how , markers affect . We modified previous equation account linkage...