Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
RforPlantBreeding
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Engineering cold stress tolerance in crop plants.
Published in Current Genomics, 2011
In this paper we review the various mechanisms and genes involved in cold acclimatization and the possibilities where transgenic technology has been explored for breeding cold tolerance in crop plants.
Recommended citation: Sanghera, G. S., Wani, S. H., Hussain, W., and Singh, N. . 2011. Engineering cold stress tolerance in crop plants. Curr. Genomics,12, 30–43.
The magic of heterosis: new tools and complexities.
Published in Nature and Science, 2011
In this paper we review the moder concept of heterosis, and genetic and molecular basis of heterosis.
Recommended citation: Sanghera, G. S., Wani, S. H., Hussain, W., Shafi, W., and Haribhushan, A. 2011. The magic of heterosis: New tools and complexities. Nature and Science. 9(11).
Exploitation of heterosis in rice (Oryza sativa L.) using CMS system under temperate conditions.
Published in Electronic Journal of Plant Breeding, 2012
Here, we reported the identification of potential restorers for the newly developed CMS lines SKAU7A and SKAU11A under temperate conditions.
Recommended citation: Hussain, W., and Sanghera, G. S. 2012. Exploitation of heterosis in rice using CMS system under temperate conditions. Electronic Journal of Plant Breeding. 3(1):695-700.
Heterosis and combining ability estimates using line x tester analysis to develop rice hybrids for temperate conditions.
Published in Notulae Scientia Biologicae, 2012
Here, we studied the heterosis and combining ability by crossing 18 lines (Males) with two cytoplasmic newly developed male sterile (CMS) lines (Females).
Recommended citation: Sanghera, G. S., and Hussain, W. 2012. Heterosis and combining ability estimates using Line x Tester analysis to develop rice hybrids for temperate conditions. Notulae Scientia Biologicae. 4:131–142.
Interactive genotypic influence of triticale and wheat on their crossability and haploid induction under varied agroclimatic regimes.
Published in Cereal Research Communications, 2014
Here, we studied the response of diverse genotypes of triticale and wheat and environment on their crossability as well as to evaluate the efficiency of Imperata cylindrica-mediated chromosome elimination approach for haploid induction in triticale × wheat (Triticum aestivum) hybrids.
Recommended citation: Badiyal, A., Chaudhary, H. k., Jamwal, N. s., Hussain, W., Mahato, A., and Bhatt, A. k. 2014. Interactive genotypic influence of triticale and wheat on their crossability and haploid induction under varied agroclimatic regimes. Cereal Research Communications. 42:700–709.
Genetic analysis for grain and forage yield and its component traits in genus Avena under North western Himalayas
Published in Range Management and Agroforestry, 2015
Here, we describe the nature and magnitude of gene effects for forage and grain yield traits in oats.
Recommended citation: Chaudhary, L., Sood, V.K., and Hussain, W.2015. Genetic analysis for grain and forage yield and its component traits in genus Avena under North western Himalayas. Range Management and Agroforestry. 35:2.
Genetic diversity of genus Avena from North Western-Himalayas Using molecular markers.
Published in Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 2016
Here, we assess the diversity of wild relatives and cultivars of geneus Avena using RAPD and SSR markers.
Recommended citation: Sood, V. K., Rana, I., Hussain, W., and Chaudhary, H. K. 2016. Genetic Diversity of Genus Avena from North Western-Himalayas Using Molecular Markers. Proc. Natl. Acad. Sci., India, Sect. B Biol. Sci. 86:151–158.
Factors influencing crossability among triticale and wheat and its subsequent effect along with hybrid necrosis on haploid induction.
Published in Acta Agriculturae Scandinavica, Section B—Soil & Plant Science, 2016
The manuscript investigates the influence of genotypic and environmental factors on the crossability of elite triticale and wheat genotypes, screen the effect of necrotic genes in the F1 hybrids and the relative performance of hybrids towards haploid induction.
Recommended citation: Jamwal, N. S., Chaudhary, H. K., Badiyal, A., and Hussain, W. 2016. Factors influencing crossability among triticale and wheat and its subsequent effect along with hybrid necrosis on haploid induction. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science. 66:282–289.
Comparative assessment of different auxin analogues on haploid induction in triticale x wheat derived backcross generations.
Published in Agriculture Research Journal, 2016
The manuscript studies the effect of different possible auxin analogues like 2,4-D, NAA, IAA and IBA for their influence on haploid induction in triticale x wheat backcross generations.
Recommended citation: Badiyal, A., Chaudhary, H. K., Jamwal, N. S., Bhatt, A. K., and Hussain, W. 2016. Comparative assessment of different auxin analogues on haploid induction in triticale x wheat derived backcross Generations. Agricultural Research Journal. 53:157.
A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding.
Published in Computers and Electronics in Agriculture, 2016
The manuscript reports the development of a new multi-sensor system for high throughput phenotyping in plant breeding.
Recommended citation: Bai, G., Ge, Y., Hussain, W., Baenziger, P. S., and Graef, G. 2016. A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding. Computers and Electronics in Agriculture. 128:181–192.
Genotyping-by-sequencing derived high-density linkage map and its application to QTL mapping of flag leaf traits in bread wheat
Published in Scientific Reports, 2017
In this manuscript we describes the development of high-density linkage map in Harry x Wesley derived RIL population, confirm the accuracy, reliability and validity of the map, and also its application in mapping QTLs for flag leaf traits.
Recommended citation: Hussain, W., Baenziger, P. S., Belamkar, V., Guttieri, M. J., Venegas, J. P., Easterly, A., et al. 2017. Genotyping-by-sequencing derived high-density linkage map and its application to QTL mapping of flag leaf traits in bread wheat. Scientific Reports. 7:16394.
Success in inducing effective rooting in triticale x wheat and wheat x wheat derived haploid plantlets in cocopeat mixture.
Published in International Journal of Current Microbiology and Applied Sciences, 2018
The manuscript reveals the success of the Cocopeat mixture in inducing rooting in Triticale derived wheat haploid plants.
Recommended citation: S. Jamwal, N., K. Chaudhary, H., Badiyal, A., Hussain, W., Katoch, P., and Kumar, N. 2018. Success in inducing effective rooting in triticale x wheat and wheat x wheat derived haploid plantlets in cocopeat mixture. International Journal of Current Microbiology and Applied Sciences. 7:15–23.
Genomic selection in preliminary yield trials in a winter wheat breeding program.
Published in G3: Genes|Genomes|Genetics, 2018
The manuscript provides insights and assesses the the integration of genomic selection for grain yield in Nebraska wheat breeding programe.
Recommended citation: Belamkar, V., Guttieri, M. J., Hussain, W., Jarquín, D., El-basyoni, I., Poland, J., et al. 2018. Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program. G3: Genes|Genomes|Genetics. 8:2735–2747.
Registration of a bread Wheat recombinant inbred line mapping population derived from a cross between ‘Harry’ and ‘Wesley’.
Published in Journal of Plant Registrations, 2018
he manuscript describes the development and registration of Harry x Wesley derived recombinant inbred line mapping population. The mapping population is an important germplasm resource to breed for drought tolerance and wider adaptation in the US Great Plains.
Recommended citation: Hussain, W., Guttieri, M. J., Belamkar, V., Poland, J., Sallam, A., and Baenziger, P. S. 2018. Registration of a bread wheat recombinant inbred line mapping population derived from a cross between ‘Harry’ and ‘Wesley.’ Journal of Plant Registrations. 12:411–414.
Genetic variation in drought tolerance at seedling stage and grain yield in low rainfall environments in wheat ( Triticum aestivum L.).
Published in Euphytica, 2018
The manuscript describes the newly developed protocol to identify the drought genotypes in winter wheat at seedling stage in the green house and compare it across the field trials.
Recommended citation: Sallam, A., Mourad, A. M. I., Hussain, W., and Stephen Baenziger, P. 2018. Genetic variation in drought tolerance at seedling stage and grain yield in low rainfall environments in wheat. Euphytica. 214:169.
ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studies.
Published in Plant Direct, 2018
ShinyAIM is a nice tool to visualize the Manhattan plots in interactive and easy way. The application has unique features to interpret and view dynamically GWAS outputs particularly from temporal GWAS studies.
Recommended citation: Hussain, W., Campbell, M., Walia, H., and Morota, G. 2018. ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studies. Plant Direct. 2:e00091.
Identification of quantitative trait loci conferring resistance to tan spot in a bi-parental population derived from two Nebraskan hard red winter wheat cultivars.
Published in Molecular Breeding, 2018
This paper characterizes the Tan spot resistance in Harry and Wesley cultivars and reveals high resistance to tan spot in Wesley cultivar is largely due to lack of two Ptr ToxA-Tsn1 and Ptr ToxC-Tsc1 tan spot sensitivity genes.
Recommended citation: Kariyawasam, G. K., Hussain, W., Easterly, A., Guttieri, M., Belamkar, V., Poland, J., et al. 2018. Identification of quantitative trait loci conferring resistance to tan spot in a biparental population derived from two Nebraska hard red winter wheat cultivars. Mol Breeding. 38.
Divergent phenotypic response of rice accessions to transient heat stress during early seed development
Published in Plant Direct, 2020
This paper highlights and shows the impact of heat-stress on rice developing grains
Recommended citation: Paul P, Dhatt BK, Sandhu J, et al. Divergent phenotypic response of rice accessions to transient heat stress during early seed development. Plant Direct. 2020;4:1–13.
Variance heterogeneity genome-wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions
Published in BioRxiv, 2020
In this work we reported unique vQTLs and mvQTLs for grain cadmium in wheat. Also showed that epistasis is important component of genetic variance in regulation of grain cadmium in wheat
Recommended citation: Hussain, et al .2018. Variance heterogeneity genome-wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions. The Plant Genome.
resources
ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studies.
Waseem Hussain, Malachy Campbell, Harkamal Walia, Gota Morota
talks
Genetics and Molecular Basis of Heterosis in Crops
Published:
Here, I discussed basic concepts, theories and mechanism of Heterosis in plants at classical genetics, molecular and genomics level.
Association Mapping and its Role in Crop Improvement
Published:
Here, I discussed basic principles and concepts of linkage mapping, association mapping, methodology and examples.
Development of High-Density Linkage Map in Wheat and Genome-Wide QTL Mapping for Plant Height
Published:
In this presentation I discuss the development of genotyping-by-sequencing derived linkage map, accuracy and validity of linkage map, and its application to QTL mapping for plant height.
New tools to Understand and Improve Wheat in Genomics Era
Published:
In this presentation I discuss about various genomics resources in wheat and there utilization in for wheat improvement. I also discuss about the current status and future of hybrid wheat breeding.
Genotyping-by-sequencing Derived High-Density Linkage Map and its Application to QTL Mapping of Flag Leaf Traits in Bread Wheat
Published:
In this talk I discuss about the development of linkage map in Harry x Wesley derived RIL population. I also discussed about our newly developed pipeline using R/qtl and ASMap how to correct for genotyping errors in genotyping-by-sequencing derived SNPs. Also, talked about the validity, accuracy and comparison of the developed linkage map with newly developed genome assembly of wheat. Lastly, discuss the application of linkage map in identifying QTLs for plant height. The talk is on webpage. The detailed instruction about the R codes used to correct can be found in supplementary materials published in Scientific reports journal at https://www.nature.com/articles/s41598-017-16006-z
Shiny Based Imaging GWAS Server
Published:
In this talk I discuss about Shiny, its applications and how Shiny and R-software can be used to develop the applications in plant genentics.
ShinyAim: Shiny-Based Application of Interactive Manhattan Plots for Longitudinal GWAS
Published:
Here I am talking Shiny based application called as ShinyAIM. I developed this application in R and Shiny aimed to visualize the interactive Manhattan plots generated from GWAS outputs particularly for longitudinal data. The paper describing the ShinyAIM is published in Journal Plant Direct and can be found here.
Strategies for Maintaining the Genetic Variation While Maximizing the Genetic Gain in Modern Rice Breeding Programs
Published:
Here, I talked about various strategies to increase genetic gain and how to maintain the genetic variance in modern breeding programs.
teaching
Teaching experience 1
Guest lecture, University of Nebraska, Lincoln, Department of Animal Sciences, 2018
This lecture was one of the lecture in course ASCI 944/STAT 844 Quantitative Methods for Genomics of Complex Traits taught by Dr. Gota Morota. In this lecture I talk about basic concepts in GWAS, how to correct for population stratification, and statistical models to run GWAS and also showed practical demonstration how to perform GWAS in R-software.
Teaching experience 2
Lecture, University of Nebraska Licoln, Department of Agronomy and Horticulture, 2018
This lecture was delivered in Rclub hosted by students in the Agronomy and Horticulture department, University of Nebraska, Lincoln. In this lecture I discussed about data visualizations in ggplot, interactive visualizations using plotly, multiple plots in same panel, correlations and correlation heat maps.
Teaching experience 3
Guest lecture, University of Nebraska, Lincoln, Department of Agronomy and Horticulture, 2019
This is two lecture series in the course STAT 892-007- Integrative Data Science for Plant Phenomics taught by multiple instructors. I deliver two lectures, in first lecture I discussed about basic concepts in GWAS, how to correct for population stratification, and statistical models to run GWAS and also showed practical demonstration how to perform GWAS in R-software. In the Second lecture, I discussed the Basics of Genomic Predictions and Statistical Models