15 Works

Data for genetic characterization and curation of diploid a-genome wheat species

Laxman Adhikari, Jesse Poland, Jon Raupp, Shuangye Wu, Duane Wilson, Bernd Friebe, Dal-Hoe Koo & Narinder Singh
Diploid A-genome relatives of wheat comprises T. urartu, T. monococcum subsp. monococcum (domesticated einkorn) and T. monococcum subsp. aegilopoides (wild einkorn). About 930 accessions of A-genome diploid wheat species preserved in the gene bank of the Wheat Genetics Resource Center (WGRC) at Kansas State University were genotyped using genotyping-by-sequencing (GBS). We constructed four pooled GBS libraries (384- and 288-plex) using restriction enzymes (Pst1-Msp1) combinations and the libraries were sequenced on the Illumina platform. The sequence...

Accelerating wheat breeding for end-use quality through association mapping and multivariate genomic prediction

Shichen Zhang-Biehn, Allan Fritz, Guorong Zhang, Byron Evers, Rebecca Regan & Jesse Poland
In hard winter wheat breeding, the evaluation of end-use quality is expensive and time-consuming, being relegated to the final stages of the breeding program after selection for many traits including disease resistance, agronomic performance and grain yield. In this study, our objectives were to identify genetic variants underlying baking quality traits through genome-wide association mapping (GWAS) and develop improved genomic selection (GS) models for the quality traits in hard winter wheat. Advanced breeding lines (n=462)...

Improving wheat yield prediction using secondary traits and high-density phenotyping under heat stressed environments

Mohammad Rahman, Jared Crain, Jesse Poland, Ravi Singh & Atena Haghighattalab
A primary selection target for wheat (Triticum aestivum) improvement is grain yield. However, the selection for yield is limited by the extent of field trials, fluctuating environments, and the time needed to obtain multiyear assessments. Secondary traits such as spectral reflectance and canopy temperature (CT), which can be rapidly measured many times throughout the growing season, are frequently correlated with grain yield and could be used for indirect selection in large populations particularly in earlier...

Using machine learning to model nontraditional spatial dependence in occupancy data

Narmadha Mohankumar & Trevor Hefley
Spatial models for occupancy data are used to estimate and map the true presence of a species, which may depend on biotic and abiotic factors as well as spatial autocorrelation. Traditionally researchers have accounted for spatial autocorrelation in occupancy data by using a correlated normally distributed site-level random effect, which might be incapable of modeling nontraditional spatial dependence such as discontinuities and abrupt transitions. Machine learning approaches have the potential to model nontraditional spatial dependence,...

Root traits reveal safety and efficiency differences in grasses and shrubs exposed to different fire regimes

Kimberly O'Keefe, Seton Bachle, Rachel Keen, E. Greg Tooley & Jesse Nippert
Roots are key components of terrestrial ecosystems, yet little is known about how root structure and function vary across a broad range of species, functional groups, and ecological gradients in situ. We assessed how woody and grass root anatomical traits vary among soil depths and different fire frequencies to better understand the water-use strategies exhibited by these two functional groups in tallgrass prairie experiencing woody encroachment. Specifically, we asked: (1) Do root anatomical traits differ...

CIMMYT bread wheat breeding lines

Sandesh Shrestha, Jesse Poland, Susanne Dreisigacker, Shuangye Wu, Ravi Prakash Singh, Suchismita Mondal, Philomin Juliana, Jose Crossa & Mark Lucas
A total of 74,403 bread wheat breeding lines from the year 2013-2020 developed by the International Maize and Wheat Improvement Center (CIMMYT) was genotyped. We used genotyping-by-sequencing (GBS) to construct 433 GBS libraries which were sequenced in the Illumina platform to generate 440 FASTQ files. The key file consists of metadata such as sample name, flowcell, lane number, and barcode used for multiplexing samples. The FASTQ file of corresponding samples can be identified based on...

A high-throughput skim-sequencing approach for genotyping, dosage estimation and identifying translocations

Laxman Adhikari, Jesse Poland, Sandesh Shrestha, Shuanyge Wu, Jared Crain, Lianglian Gao, Byron Evers, Duane Wilson, Yoonha Ju, Dal-Hoe Koo, Pierre Hulc, Curtis Pozniak, Sean Walkowiak, Xiaoyun Wang, Jing Wu, Jeffrey Glaubitz, Lee DeHaan & Bernd Friebe
An optimized, high-throughput and cost-effective genotyping method applicable to various crop breeding populations is very important in this genomic era. We have developed an optimized Nextera skim-sequencing (skim-seq) approach to genotype different populations that can be used for genetics studies and genomics-assisted breeding. We performed skim-seq on a variety of populations developed through doubled haploid (DH) technology, inter-specific recombinants developed through introgression, amphidiploid developed through wide crosses, and on known monosomic samples. 1. A doubled...

Combining epidemiological and ecological methods to quantify social effects on E. coli transmission

Trevor Farthing, Daniel Dawson, Michael Sanderson, Hannah Seger & Cristina Lanzas
Enteric microparasites like Escherichia coli utilize multiple transmission pathways to propagate within and between host populations. Characterizing the relative transmission risk attributable to host social relationships, and direct physical contact between individuals is paramount for understanding how microparasites like E. coli spread within affected communities and estimating colonization rates. To measure these effects, we carried out commensal E. coli transmission experiments in two cattle (Bos taurus) herds, wherein all individuals were equipped with real-time location...

A 3D Adult Zebrafish Brain Atlas (AZBA) for the Digital Age

Justin W. Kenney, Patrick E. Steadman, Olivia Young, Meng Ting Shi, Maris Polanco, Saba Dubaishi, Kristopher Covert, Thomas Mueller & Paul W. Frankland
Zebrafish have made significant contributions to our understanding of the vertebrate brain and the neural basis of behavior, earning a place as one of the most widely used model organisms in neuroscience. Their appeal arises from the marriage of low cost, early life transparency, and ease of genetic manipulation with a behavioral repertoire that becomes more sophisticated as animals transition from larvae to adults. To further enhance the use of adult zebrafish, we created the...

Ecological consequences of large herbivore exclusion in an African savanna: 12 years of data from the UHURU experiment

Jesse Alston, Courtney Reed, Leo Khasoha, Bianca Brown, Gilbert Busienei, Nathaniel Carlson, Tyler Coverdale, Megan Dudenhoeffer, Marissa Dyck, John Ekeno, Abdikadir Hassan, Rhianna Hohbein, Rhiannon Jakopak, Buas Kimiti, Samson Kurukura, Peter Lokeny, Allison Louthan, Simon Musila, Paul Musili, Tosca Tindall, Sarah Weiner, Tyler Kartzinel, Todd Palmer, Robert Pringle & Jacob Goheen
Diverse communities of large mammalian herbivores (LMH), once widespread, are now rare. LMH exert strong direct and indirect effects on community structure and ecosystem functions, and measuring these effects is important for testing ecological theory and for understanding past, current, and future environmental change. This in turn requires long-term experimental manipulations, owing to the slow and often nonlinear responses of populations and assemblages to LMH removal. Moreover, the effects of particular species or body-size classes...

Genotyping-by-sequencing data for a Haitian sorghum breeding program

Geoffrey Morris, Terry Felderhoff, Noah Winans, Rachel Walstead, Jean Rigaud Charles, Gael Pressoir & Kebede Muleta
Rapid environmental change can lead to extinction of populations or evolutionary rescue via genetic adaptation. In the past several years, smallholder and commercial cultivation of sorghum (Sorghum bicolor), a global cereal and forage crop, has been threatened by a global outbreak of an aggressive new biotype of sugarcane aphid (SCA; Melanaphis sacchari). Here we characterized genomic signatures of adaptation in a Haitian sorghum breeding population, which had been recently founded from admixed global germplasm, extensively...

ISIMIP3a reservoirs & dams input data

María del Rocío Rivas López, Jida Wang & Fangfang Yao
The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.
The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working...

Data from: Accuracy in the prediction of disease epidemics when ensembling simple but highly correlated models

Denis Shah, Erick De Wolf, Pierce Paul & Laurence Madden
Ensembling combines the predictions made by individual component base models with the goal of achieving a predictive accuracy that is better than that of any one of the constituent member models. Diversity among the base models in terms of predictions is a crucial criterion in ensembling. However, there are practical instances when the available base models produce highly correlated predictions, because they may have been developed within the same research group or may have been...

Metadata of literature survey of common gardens

Loretta Johnson
1. Local adaptation is a fundamental phenomenon in evolutionary biology, with relevance for formation of ecotypes, and ultimately new species, and application to restoration and species’ response to climate change. Reciprocal transplants, a common garden in which ecotypes are planted among home and away habitats, is the gold standard to detect local adaptation in populations. 2. This review focuses on reciprocal gardens to detect local adaptation, especially in grassland species beginning with early seminal studies...

Do fine-scale experiments underestimate predator consumption rates?

Lindsey Bruckerhoff, Casey Pennock & Keith Gido
Understanding ecological processes across spatial scales helps link observations and predictions from experiments to ecological patterns occurring at coarser scales relevant to management and conservation. Using fish, we experimentally manipulated the size of arenas to test the spatial scaling of predator-prey interactions. We measured variation in predator consumption and prey behavior (prey aggregation, spatial overlap with predators, and movement) across arena sizes. Variation in prey behavior across arena sizes was hypothesized to drive consumption patterns...

Registration Year

  • 2021

Resource Types

  • Dataset


  • Kansas State University
  • International Maize and Wheat Improvement Center
  • Cornell University
  • Utah State University
  • Princeton University
  • The Land Institute
  • The Ohio State University
  • University of Georgia
  • Wayne State University
  • University of Saskatchewan