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Subject: wheat

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    Optimal Seeding Rates for New Hard Red Spring Wheat Cultivars in Diverse Environments
    (North Dakota State University, 2019) Stanley, Jordan D.
    Seeding rate in hard red spring wheat (HRSW) (Triticum aestivum L.) production impacts input cost and grain yield. Predicting the optimal seeding rate (OSR) for HRSW cultivars can aid growers and eliminate the need for costly seeding rate research. Research was conducted to determine the OSR of newer HRSW cultivars (released in 2013 or later) in diverse environments. Nine cultivars with diverse genetic and phenotypic characteristics were evaluated at four seeding rates in 11 environments throughout the northern Great Plains region in 2017-2018. Results from ANOVA indicated environment and cultivar were more important than seeding rate in determining grain yield. Though there was no environment x seeding rate interaction (P=0.37), OSR varied among cultivar within each environment. Cultivar x environment interactions were further explored with the objective of developing a decision support system (DSS) to aid growers in determining the OSR for the cultivar they select, and for the environment in which it is sown. Data from seeding rate trials conducted in ND and MN from 2013-2015 were also used. A novel method for characterizing cultivar for tillering capacity was developed and proposed as a source for information on tillering to be used in statistical modelling. A 10-fold repeated cross-validation of the seeding rate data was analyzed by 10 statistical learning algorithms to determine a model for predicting OSR of newer cultivars. Models were similar in prediction accuracy (P=0.10). The decision tree model was considered the most reliable as bias was minimized by pruning methods, and model variance was acceptable for OSR predictions (RMSE=1.24). Findings from this model were used to develop the grower DSS for determining OSR dependent on cultivar straw strength, tillering capacity, and yield of the environment. Recommendations for OSR ranged from 3.1 to 4.5 million seeds ha-1. Growers can benefit from using this DSS by sowing at OSR relative to their average yields; especially when seeding new HRSW cultivars.
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    Homoeologous Recombination-Based Chromosome Engineering for Physical Mapping and Introgression in Wheat and Its Relatives Aegilops speltoides and Thinopyrum elongatum
    (North Dakota State University, 2020) Zhang, Mingyi
    Wheat (genome AABBDD) is one of the essential crops, offering approximate 20% of human calorie consumption worldwide. Allopolyploidization of three diploid ancestors led to hexaploid wheat with narrowed genetic variation. Chromosome engineering is an applicable approach to restore the evolutionarily-omitted genetic diversity by homoeologous chromosomes recombination between wheat and its relatives. Two diploid relatives of wheat, Thinopyrum elongatum (genome EE) and Aegilops speltoides (genome SS), containing favorable genes, are used as gene resources for alien introgression and genome diversification in wheat. An advanced and effective experiment procedure was developed and applied for the production, recovery, detection, and characterization of homoeologous recombinants. Meanwhile, a novel recombinant chromosome recovery strategy was exploited with improved efficiency and accuracy. In this study, recombinants of wheat chromosomes 3B and 7B with their homoeologous chromosomes in Th. elongatum and Ae. speltoides (i.e. 3B-3E, 7B-7E, and 7B-7S) were produced and detected. Totolly, 81 3B-3E recombinants and four aberrations involving in distinct chromosomal regions were developed in three recombination cycles by fluorescent genomic in situ hybridization (FGISH). The secondary and tertiary recombination breakpoints occurred toward the proximal regions comparing to the primary recombination under this advanced recombination procedure. A novel recovery strategy was used to recover 7B-7E and 7B-7S homoeologous recombinants by chromosome-specific markers and FGISH verification. Marker-based pre-screening and subsequent FGISH verification identified 29 7B-7E and 61 7B- 7S recombinants, seven 7B-7E and four 7B-7S Robertsonian translocations, one 7E and five 7S telocentric chromosomes, and three 7S deletions. All the recombinants and aberrations were genotyped by high-throughput wheat 90K single nucleotide polymorphism (SNP) assay and the recombination breakpoints were physically mapped to wheat chromosome 3B or 7B according to their FGISH patterns, SNP results, and wheat reference genome sequence. Chromosome 3B was physically partitioned into 38 bins with 429 SNPs. Meanwhile, 44 distinct bins were resolved for chromosome 7B with 523 SNPs. A composite bin map was constructed for chromosomes 3B and 7B, respectively, with a comprehensive analysis of FGISH and SNPs results. In summary, this project provides a unique physical framework for further wheat genome studies and diversifies the wheat genome for germplasm development in wheat breeding.