Legacy genetics of Arachis cardenasii in the peanut crop shows the profound benefits of international seed exchange.

The narrow genetics of most crops is a fundamental vulnerability to food security. This makes wild crop relatives a strategic resource of genetic diversity that can be used for crop improvement and adaptation to new agricultural challenges. Here, we uncover the contribution of one wild species accession, Arachis cardenasii GKP 10017, to the peanut crop (Arachis hypogaea) that was initiated by complex hybridizations in the 1960s and propagated by international seed exchange. However, until this study, the global scale of the dispersal of genetic contributions from this wild accession had been obscured by the multiple germplasm transfers, breeding cycles, and unrecorded genetic mixing between lineages that had occurred over the years. By genetic analysis and pedigree research, we identified A. cardenasii-enhanced, disease-resistant cultivars in Africa, Asia, Oceania, and the Americas. These cultivars provide widespread improved food security and environmental and economic benefits. This study emphasizes the importance of wild species and collaborative networks of international expertise for crop improvement. However, it also highlights the consequences of the implementation of a patchwork of restrictive national laws and sea changes in attitudes regarding germplasm that followed in the wake of the Convention on Biological Diversity. Today, the botanical collections and multiple seed exchanges which enable benefits such as those revealed by this study are drastically reduced. The research reported here underscores the vital importance of ready access to germplasm in ensuring long-term world food security.

Segmental allopolyploidy in action: Increasing diversity through polyploid hybridization and homoeologous recombination.

PREMISE OF THE STUDY: The genetic bottleneck of polyploid formation can be mitigated by multiple origins, gene flow, and recombination among different lineages. In crop plants with limited origins, efforts to increase genetic diversity have limitations. Here we used lineage recombination to increase genetic diversity in peanut, an allotetraploid likely of single origin, by crossing with a novel allopolyploid genotype and selecting improved lines. METHODS: Single backcross progeny from cultivated peanut × wild species-derived allotetraploid cross were studied over successive generations. Using genetic assumptions that encompass segmental allotetraploidy, we used single nucleotide polymorphisms and whole-genome sequence data to infer genome structures. KEY RESULTS: Selected lines, despite a high proportion of wild alleles, are agronomically adapted, productive, and with improved disease resistances. Wild alleles mostly substituted homologous segments of the peanut genome. Regions of dispersed wild alleles, characteristic of gene conversion, also occurred. However, wild chromosome segments sometimes replaced cultivated peanut's homeologous subgenome; A. ipaënsis B sometimes replaced A. hypogaea A subgenome (~0.6%), and A. duranensis replaced A. hypogaea B subgenome segments (~2%). Furthermore, some subgenome regions historically lost in cultivated peanut were "recovered" by wild chromosome segments (effectively reversing the "polyploid ratchet"). These processes resulted in lines with new genome structure variations. CONCLUSIONS: Genetic diversity was introduced by wild allele introgression, and by introducing new genome structure variations. These results highlight the special possibilities of segmental allotetraploidy and of using lineage recombination to increase genetic diversity in peanut, likely mirroring what occurs in natural segmental allopolyploids with multiple origins.

Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices.

This article presents an overview of twelve existing objective speech quality and intelligibility prediction tools. Two classes of algorithms are presented, namely intrusive and non-intrusive, with the former requiring the use of a reference signal, while the latter does not. Investigated metrics include both those developed for normal hearing listeners, as well as those tailored particularly for hearing impaired (HI) listeners who are users of assistive listening devices (i.e., hearing aids, HAs, and cochlear implants, CIs). Representative examples of those optimized for HI listeners include the speech-to-reverberation modulation energy ratio, tailored to hearing aids (SRMR-HA) and to cochlear implants (SRMR-CI); the modulation spectrum area (ModA); the hearing aid speech quality (HASQI) and perception indices (HASPI); and the PErception MOdel - hearing impairment quality (PEMO-Q-HI). The objective metrics are tested on three subjectively-rated speech datasets covering reverberation-alone, noise-alone, and reverberation-plus-noise degradation conditions, as well as degradations resultant from nonlinear frequency compression and different speech enhancement strategies. The advantages and limitations of each measure are highlighted and recommendations are given for suggested uses of the different tools under specific environmental and processing conditions.

Objective speech intelligibility measurement for cochlear implant users in complex listening environments.

Objective intelligibility measurement allows for reliable, low-cost, and repeatable assessment of innovative speech processing technologies, thus dispensing costly and time-consuming subjective tests. To date, existing objective measures have focused on normal hearing model, and limited use has been found for restorative hearing instruments such as cochlear implants (CIs). In this paper, we have evaluated the performance of five existing objective measures, as well as proposed two refinements to one particular measure to better emulate CI hearing, under complex listening conditions involving noise-only, reverberation-only, and noise-plus-reverberation. Performance is assessed against subjectively rated data. Experimental results show that the proposed CI-inspired objective measures outperformed all existing measures; gains by as much as 22% could be achieved in rank correlation.