Training population selection and use of fixed effects to optimize genomic predictions in a historical USA winter wheat panel.

KEY MESSAGE: The optimization of training populations and the use of diagnostic markers as fixed effects increase the predictive ability of genomic prediction models in a cooperative wheat breeding panel. Plant breeding programs often have access to a large amount of historical data that is highly unbalanced, particularly across years. This study examined approaches to utilize these data sets as training populations to integrate genomic selection into existing pipelines. We used cross-validation to evaluate predictive ability in an unbalanced data set of 467 winter wheat (Triticum aestivum L.) genotypes evaluated in the Gulf Atlantic Wheat Nursery from 2008 to 2016. We evaluated the impact of different training population sizes and training population selection methods (Random, Clustering, PEVmean and PEVmean1) on predictive ability. We also evaluated inclusion of markers associated with major genes as fixed effects in prediction models for heading date, plant height, and resistance to powdery mildew (caused by Blumeria graminis f. sp. tritici). Increases in predictive ability as the size of the training population increased were more evident for Random and Clustering training population selection methods than for PEVmean and PEVmean1. The selection methods based on minimization of the prediction error variance (PEV) outperformed the Random and Clustering methods across all the population sizes. Major genes added as fixed effects always improved model predictive ability, with the greatest gains coming from combinations of multiple genes. Maximum predictabilities among all prediction methods were 0.64 for grain yield, 0.56 for test weight, 0.71 for heading date, 0.73 for plant height, and 0.60 for powdery mildew resistance. Our results demonstrate the utility of combining unbalanced phenotypic records with genome-wide SNP marker data for predicting the performance of untested genotypes.

Characterization of new loci for Hessian fly resistance in common wheat.

The discovery of several new loci for resistance to Hessian fly was reported here. QHf.uga-6AL, the late HR61 was recognized from wheat cultivar 26R61 on the distal end of 6AL with resistance to both biotypes E and vH13. It is the first gene or QTL found on this particular chromosome. QHf.uga-3DL and QHf.uga-1AL, physically assigned to the deletion bins 3DL2-0.27-0.81 and 1AL1-0.17-0.61, respectively, were detected for resistance to biotype vH13. Both QTL should represent new loci for Hessian fly resistance and the latter was detectable only in the late seedling stage when tolerance was evident. In addition, QHf.uga-6DS-C and QHf.uga-1AS had minor effect and were identified from the susceptible parent AGS 2000 for resistance to biotype E and vH13, respectively. QHf.uga-6DS-C is different from the known gene H13 on 6DS and QHf.uga-1AS is different from H9 gene cluster on 1AS. These loci also might be new components of Hessian fly resistance, although their LOD values were not highly significant. The QTL detections were all conducted on a RIL mapping population of 26R61/AGS 2000 with good genome coverage of molecular markers. The strategy used in the current study will serve as a good starting point for the discovery and mapping of resistance genes including tolerance to the pest and the closely linked markers will certainly be useful in selecting or pyramiding of these loci in breeding programs.

Controlled synthesis of AlN/GaN multiple quantum well nanowire structures and their optical properties.

We report the controlled synthesis of AlN/GaN multi-quantum well (MQW) radial nanowire heterostructures by metal-organic chemical vapor deposition. The structure consists of a single-crystal GaN nanowire core and an epitaxially grown (AlN/GaN)(m) (m = 3, 13) MQW shell. Optical excitation of individual MQW nanowires yielded strong, blue-shifted photoluminescence in the range 340-360 nm, with respect to the GaN near band-edge emission at 368.8 nm. Cathodoluminescence analysis on the cross-sectional MQW nanowire samples showed that the blue-shifted ultraviolet luminescence originated from the GaN quantum wells, while the defect-associated yellow luminescence was emitted from the GaN core. Computational simulation provided a quantitative analysis of the mini-band energies in the AlN/GaN superlattices and suggested the observed blue-shifted emission corresponds to the interband transitions between the second subbands of GaN, as a result of quantum confinement and strain effect in these AlN/GaN MQW nanowire structures.

Effects of waxy wheat flour and water on frozen dough and bread properties.

The quality of bread made from frozen dough is diminished by changes that occur during freezing. New cultivars of waxy wheat flour (WWF), containing less than 2% amylose, offer unique properties for the production of baked products. In this study, dough properties and bread quality were investigated at various levels of WWF (0% to 45% flour weight) and water (55% to 65%). Dough stickiness increased with higher levels of WWF and water. During frozen storage, dough with greater WWF and lower water had less change in stickiness. Maximum resistance to extension (MRE) decreased with higher WWF and water. Dough with greater WWF and less water had less change in extensibility after frozen storage. Dough with greater WWF and water was more extensible. Nuclear magnetic resonance (NMR) studies showed that frozen dough with higher WWF content had lower transverse relaxation (T(2)) time of 9 to 11ms. After frozen storage, dough with higher WWF still showed lower T(2). Dough with 15% WWF had higher yeast activity. Bread made from 15% and 30% WWF had higher volume in bread made from unfrozen and frozen dough. Bread firmness decreased with higher amounts of WWF and water. This research demonstrated that specific combinations of WWF and water produced a better quality of frozen dough and bread.

Development and functional assessment of EST-derived 2RL-specific markers for 2BS.2RL translocations.

ESTs-derived markers are useful for comparative genomic analysis and can also serve as phenotype-linked functional markers. Here, we report the development of EST-derived 2RL-specific markers and the evaluation of the possibility of functional assessment of markers tagging 2RL, which carries Hessian fly resistance genes (loci). To identify transcripts specific to 2RL, unigene sequences in combination with wheat progenitor genomes were used. Total 275 contigs mapped to the long arms of homoeologous group 2 chromosomes were downloaded. To obtain a cluster corresponding to each of the wheat 275 contigs, unigene sequences of wheat, rice, barley, and rye were pooled for cross-species clusters. Out of 275 clusters examined, it was possible to design 112 cross-species primer pairs for genome-specific amplifications. Out of 112 cross-species primer pairs, 45 primer pairs (40%) produced amplicons from at least one species (three wheat progenitors or rye). Among the 45 contigs, 73% were associated with one of known functions and 82% of the contigs associated with known functions were also associated with one of the GO categories. On the basis of the oligonucleotide sequence alignment of each of 45 genome-specific amplifications, 21 amplifications (47%) were suitable for designing RR genome-specific primers, which are specific to translocated rye chromatin 2RL. Six primer pairs (13%) successfully produced amplicons in the 2BS.2RL translocation lines and not in the non-2RLs. Functional assessment of one of the 2RL-specific markers, NSFT03P2_Contig4445, was performed on Hessian fly infested NILs. Under Hessian fly infestation, significantly high expression of a gene tagged by a 2RL-specific marker (NSFT03P2_Contig4445) was observed 1 day after infestation. EST-derived 2RL-specific marker development from this study provides a basis for the development of ESTs-derived markers for detecting wheat-rye translocations. In addition, these markers could be employed in elucidating functional analysis of genes on 2RL.

Environmental stability and heritability estimates for grain yield and test weight in triticale.

Hexaploid triticale has many advantages over both parental species for both grain and forage production in certain environments. Additional information on environmental stability and heritability would be desirable to develop appropriate selection strategies in the production of superior widely-adapted cultivars. The grain yield of 22 diverse genotypes grown at four ecologically-distinct geographical locations [Quincy, FL, USA (approximate geographical coordinates (AGC) = 30 degreesN 84 degreesW, approximate elevation (AE) = 58 m), Plains, GA, USA (AGC = 32 degreesN 84 degreesW, AE = 76 m), Bozeman, MT USA (AGC = 45 degreesN 111 degreesW, AE = 1458 m), and Aberdeen, ID, USA (AGC = 42 degreesN 112 degreesW, AE = 1360 m)] was measured in two years with winter and spring planting dates only at Bozeman and Aberdeen. Test weight (grain weight in a given volume) was determined for two years at Bozeman and Aberdeen at both planting dates and one year at Quincy. Stability analyses indicated that significant (P < 0.01) variation in means, regression coefficients, and deviation mean squares of the genotypes were present for both characters. Realized heritability (h2) estimates were as follows: grain yield ranged from -0.02 to 0.80 with a mean of 0.57; test weight ranged from 0.63 to 1.05 with a mean of 0.93. The results indicated that substantial genetic variation is present and selection for widely-adapted cultivars would be effective for both characters especially test weight.