A5013549000- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Crop Yield and Soil Fertility
- Genetic and phenotypic traits in livestock
- Chromosomal and Genetic Variations
- Seed and Plant Biochemistry
- Genetic and Environmental Crop Studies
- Bioenergy crop production and management
- Research in Cotton Cultivation
- Rice Cultivation and Yield Improvement
- Cassava research and cyanide
- Genomics and Phylogenetic Studies
- Genetically Modified Organisms Research
- Wheat and Barley Genetics and Pathology
- Peanut Plant Research Studies
- Plant Pathogens and Resistance
- Agricultural pest management studies
- Genomic variations and chromosomal abnormalities
- CRISPR and Genetic Engineering
- Plant Micronutrient Interactions and Effects
- Plant Virus Research Studies
Bayer (United States)
2021-2024
Roslin Institute
2021
Bayer (Germany)
2021
University of Edinburgh
2021
GTx (United States)
2021
Monsanto (United States)
2014-2015
Brigham Young University
2004-2011
ABSTRACT Stalk lodging is essentially a structural failure. It was therefore hypothesized that application of and forensic engineering principles would provide novel insights into the problem late‐season stalk maize ( Zea mays L.). This study presents results from failure analysis corn lodging, involving detailed inspection measurements lodged stalks multidimensional imaging to assess architecture based on principles. work involved in‐field observation >20 varieties in eight international...
ABSTRACT Weak stems or stalks in grass crop species increase the likelihood of stalk failure, thereby reducing yield. Three‐point bending tests are often employed selective breeding studies to characterize strength. However, it is hypothesized that loading setup used during three‐point experiments may significantly alter test results. To investigate this hypothesis, two different configurations were conducting corn (Zea mays L.) stalks. In first configuration, loaded and supported at nodes....
Abstract Key message The integration of known and latent environmental covariates within a single-stage genomic selection approach provides breeders with an informative practical framework to utilise genotype by environment interaction for prediction into current future environments. This paper develops which integrates special factor analytic framework. linear mixed model Smith et al. (2001) is effective method analysing multi-environment trial (MET) datasets, but has limited practicality...
Novel disease resistance gene paralogues are generated by targeted chromosome cleavage of tandem duplicated NBS-LRR complexes and subsequent DNA repair in soybean. This study demonstrates accelerated diversification innate immunity plants using CRISPR. Nucleotide-binding-site-leucine-rich-repeat (NBS-LRR) families key components effector-triggered immunity. They often arranged arrays the genome, a configuration that is conducive to recombinations will lead new, chimeric genes. These...
The chromosomal organization of two novel repetitive DNA sequences isolated from the Chenopodium quinoa Willd. genome was analyzed across genomes selected species. Fluorescence in situ hybridization (FISH) analysis with clone 18–24J closely related allotetraploids C. and berlandieri Moq. (2n = 4x 36) evidenced signals that were mainly present on 18 chromosomes; however, allohexaploid album L. 6x 54), cross-hybridization observed all chromosomes. In rRNA gene probes indicated during evolution...
Genetic gain has been proposed as a quantifiable key performance indicator that can be used to monitor breeding programs' effectiveness. The cowpea program at the International Institute of Tropical Agriculture (IITA) developed and released improved varieties in 70 countries globally. To quantify genetic changes grain yield related traits, we exploited IITA historical multi-environment trials (METs) advanced trial (AYT) data from 2010 2022. assessment targeted short duration (SD), medium...
Abstract Regular measurement of realized genetic gain allows plant breeders to assess and review the effectiveness their strategies, allocate resources efficiently, make informed decisions throughout breeding process. Realized estimation requires separating trends from nongenetic using linear mixed model (LMM) on historical multi‐environment trial data. The LMM, accounting for year effect, experimental designs, heterogeneous residual variances, estimates best unbiased estimators genotypes...
Heterozygous chromosome rearrangements such as reciprocal translocations are most accurately displayed two-dimensional linkage maps. Standard mapping software packages, MapMaker, generate only one-dimensional maps and so appear clusters of markers, even though they originate from two nonhomologous chromosomes. To more map these regions, researchers have developed statistical methods that use the variance in distance to distinguish among four segments (two translocation, interstitial)...
Abstract This paper introduces a single-stage genomic selection approach which directly integrates environmental covariates within special factor analytic framework. The of Smith et al. (2001) is an effective method analysis for multi-environment trial (MET) datasets, but has limited biological interpretation since the underlying factors are latent so modelled genotype by environment interaction (GEI) observable, rather than predictable. advantage using known covariates, such as soil...
Varying fiber length distributions of cotton, Gossypium hirsutum L., impacts its spinning performance. Advanced Fiber Information System (AFIS) facilitates the analysis distribution individual fibers in cotton. Quantile regression is a variant standard with which conditional quantile values can be calculated by minimizing weighted sums absolute deviations across entire distribution. was used to analyze AFIS among five genotypes upland cotton grown at Texas Agricultural Experiment Station...