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Shresthra, S.

Publications and source records attributed to Shresthra, S..

2 recordsLinked to original sources

Aerial High-Throughput Phenotyping Enabling Indirect Selection for Grain Yield at the Early-generation Seed-limited Stages in Breeding Programs

Breeding programs for wheat and many other crops require one or more generations of seed increase before replicated yield trials can be sown. Extensive phenotyping at this stage of the breeding cycle is challenging due to the small plot size and large number of lines under evaluation. Therefore, breeders typically rely on visual selection of small, unreplicated seed increase plots for the promotion of breeding lines to replicated yield trials. With the development of aerial high-throughput phenotyping technologies, breeders now have the ability to rapidly phenotype thousands of breeding lines for traits that may be useful for indirect selection of grain yield. We evaluated early generation material in the irrigated bread wheat (Triticum aestivum L.) breeding program at the International Maize and Wheat Improvement Center to determine if aerial measurements of vegetation indices assessed on small, unreplicated plots were predictive of grain yield. To test this approach, two sets of 1,008 breeding lines were sown both as replicated yield trials and as small, unreplicated plots during two breeding cycles. Vegetation indices collected with an unmanned aerial vehicle in the small plots were observed to be heritable and moderately correlated with grain yield assessed in replicated yield trials. Furthermore, vegetation indices were more predictive of grain yield than univariate genomic selection, while multi-trait genomic selection approaches that combined genomic information with the aerial phenotypes were found to have the highest predictive abilities overall. A related experiment showed that selection approaches for grain yield based on vegetation indices could be more effective than visual selection; however, selection on the vegetation indices alone would have also driven a directional response in phenology due to confounding between those traits. A restricted selection index was proposed for improving grain yield without affecting the distribution of phenology in the breeding population. The results of these experiments provide a promising outlook for the use of aerial high-throughput phenotyping traits to improve selection at the early-generation seed-limited stage of wheat breeding programs.

genetics↗

Dynamic Extreme Aneuploidy (DEA) in the vegetable pathogen Phytophthora capsici sheds light on instant evolution and intractability.

Oomycete plant pathogens are notoriously difficult to control, and individual isolates are highly unstable; making routine research challenging. Sequencing reveals extreme aneuploidy for single-spore progeny of the vegetable pathogen Phytophthora capsici; a phenomenon dubbed Dynamic Extreme Aneuploidy (DEA). Although extreme, the aneuploidy appears to be moderately stable. A single sporulating plant lesion may produce an armada of genetically unique individuals and helps explain the rapid increase of advantageous alleles (e.g. drug resistance), mating type switches to allow sex and the widely observed phenomenon, loss of heterozygosity (LOH). Investigation of other oomycetes indicate this phenomenon is not unique to P. capsici.

genomics↗