Kari L. Hugie's research while affiliated with Syngenta and other places

Publications (6)

Article
Fiber quality improvement of upland cotton (Gossypium hirsutum L.) is essential to increase the value and competitiveness of cotton fiber. The closely related allotetraploid species G. barbadense L. has long been targeted as a source of beneficial fiber quality alleles. Although interspecific hybridization between G. hirsutum and G. barbadense resu...
Article
Full-text available
Controlling for experimental error attributable to field heterogeneity is important in high-throughput phenotyping studies that enable large numbers of genotypes to be evaluated across time and space. In the current study, we compared the efficacy of different experimental designs and spatial models in the analysis of canopy spectral reflectance da...
Chapter
Genetic improvement of upland cotton (Gossypium hirsutum L.) fiber quality is essential to meet demands of textile manufacturers and the international market while also increasing competitiveness with synthetic fibers. In this chapter, the current state of cotton fiber improvement through advances in breeding and biotechnology is described. In an e...
Article
Numerous DNA markers associated with quantitative trait loci (QTL) for cotton (Gossypium spp.) fiber quality traits have been identified in the literature, but there are still significant challenges regarding the use of these QTL in marker-assisted selection. While one of the primary limitations to the application of marker-assisted selection for f...
Article
Cotton (Gossypium spp.) breeders must develop cultivars to meet the demand for longer, stronger, and more uniform fibers. In the current study, two cycles of divergent selection for fiber upper-half mean length (UHML) and bundle strength (Str) were conducted within five diverse parental combinations selected based on their potential for the genetic...

Citations

... Initially housing only cotton germplasm that were acquired from specimen collection trips, the NCGC has since expanded to include genetic resources obtained through exchanges with the national gene banks of the governments of India, China, Uzbekistan and Russia. To date, NCGC maintains approximately 10,000 accessions of cotton, with landraces comprising approximately 34.20% of the total collection [29]. ...
... In this study, we validated a computational workflow for image acquisition, processing, and analysis to predict the biomass yield based on vegetative indices and plant height measurements of 48,000 ryegrass plants. Previous studies indicated the use of NDVI for ranking cultivars of ryegrass (Wang et al., 2019), field pea, canola, and spring wheat grain yield (Brian McConkey et al., 2004) and lint yield in cotton (Hugie et al., 2018). Considering the plant height and NDVI as a surrogate to predict DMY of individual and plot-level plants, there is a great potential to apply our workflow to be used for ranking of genotypes and cultivars across growing seasons and years. ...
... Fiber length is generally the object of trait development efforts in cotton since it is an important fiber quality feature in spinning technology, and it is genetically determined [10]. The results of the analysis of variance of the data related to fiber length are shown in Table 2, which demonstrates that the influence of cotton varieties (V) and cotton regions (R), as well as interactions, were highly significant in this study. ...
... Besides cotton these kind of findings have been reported in tomato (Rivero et al., 2014), soybean (Shelke et al., 2017) and wheat (Jan et al., 2017). the account all the genetic dispersion for a specific trait (Hugie et al., 2017). The high broad sense heritability for indicates that there is an involvement of additive gene action model in the inheritance of these characters and scope of improvement of them will be increased through simple selection on the basis of these traits (Carvalho et al., 2016). ...
... Many QTLs for cotton fibre quality traits were identified for the last two decades through the mapping or association analyses of DNA markers in different populations or germplasm accessions in multiple environments (Sun et al., 2012;Liang et al., 2013;Fang et al., 2014;Shao et al., 2014;Zhiyuan et al., 2014;Said et al., 2015;Ma et al., 2019). However, a low level of functionality of many of these QTLs in different environments or breeding populations (Hugie et al., 2016) reduces their value in practical breeding . Loci that are detected in multiple environments are called stable and repeatable QTLs; therefore, they are favoured as reliable genetic loci for the MAS programs (Fang, 2018;Paudel et al., 2020). ...