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Climate change creates a leverage point in plant breeding. We must rethink the way we employ plant breeding, utilize genetic diversity, and prioritize edible plant production across the landscape. A long-term strategy to ‘redirect’ the process of crop domestication that prioritizes the generation of abiotic and biotic stress-tolerant cultivars is needed. A proposed neo-domestication strategy is presented as a case study. It entails the re-domestication of chile by retro-crossing of modern plant cultivars with landraces and a desert-adapted wild relative. An organized, collaborative effort could reintroduce stress tolerance genes that will render new cultivars more tolerant to challenges imposed by climate change. Purposeful populations generated using a broad spectrum of genetic diversity could also provide the basis for an evolutionary–participatory plant breeding process. The process must recognize the need for a paradigm shift in our resource allocation and breeding strategies. To succeed, a shared vision for neo-domestication of chile must recognize the importance of human cultural values and the need for sustained cooperation among stakeholders.

Abstract Recently, there has been a substantial increase in high‐throughput technologies that generate highly complex large datasets for use in the sciences. Plant breeding and genetics have benefited from this data explosion where many public and private institutions now implement genomic and phenomic data to predict performance thus informing germplasm selection. However, the multitude of methodologies and data generates a situation of strategic uncertainty. We set out to compare different methods of genomic and phenomic selection in the Capsicum core collection, developed through the G2P‐SOL project, producing a combination of unique and similar selected genotypes for heat tolerance. Combined, the methods tested identified a total of 33 genotypes that show tremendous promise for use as parents in heat tolerance breeding: with 13 of these being present in more than 1 selection method. Combining classical and multispectral phenotyping methods produced better selection results than either method alone. When each method was conducted without being informed by the other, similar results were obtained. Our weighted rank‐sum selection index identified 10 entries across environments that show heat tolerance, 8 of which are also selected within heat environments. This suggests that different breeding programs can reach similar results despite having different logistical constraints. Our case study within pepper germplasm using phenomic and genomic data exhibits the potential to compensate for the dearth of germplasm knowledge with high‐throughput data as well as the converse, to compensate for logistical or financial constraint to new technologies with breeder knowledge.

Abstract Grown on 7 million ha, mungbean is a warm‐season grain legume with regional importance in parts of Asia and Africa. Under forecasted climate change, due to its tolerance to drought and heat, the short crop duration, and its nutritional properties, mungbean could serve to fill an important need for human diets. However, selection of accessions becomes difficult where plant and consumer market variation is large. We performed selection on genebank accessions, specifically the mini‐core collection at the World Vegetable Center, for yield and yield component traits. Our selection index uses refined accuracy by leveraging genomics, phenomics, and genotype‐by‐environment interactions. Best linear unbiased prediction (BLUP) is used to predict the genotypic effects of the 292 mini‐core accessions toward seed yield based on genomic relationships formed from ∼200,000 SNPs. We expanded BLUP analysis to predict phenotypic effects based on the phenomic relationships formed from ∼75,000 measurements from three‐dimensional multispectral data. While this method is restricted to a single environment, our multi‐environment trials across eight countries and 4 years serve to quantify the genotype‐by‐environment effect. K‐fold cross‐validation finds predictive ability to vary by methods but to be related to the narrow‐sense heritability of the yield component trait. Our weighted rank sum index (WRSI) linearly combines yield component traits to proxy yield within our single environment phenomics trial by first ranking genomic and/or phenomic BLUPs, then weighting by predictive accuracy from the cross‐validated model, and then summing the component weighted ranks for each accession. Selections were made from the predicted random effects in each location, identifying three accessions overlapping across both methodologies: PI 369787 (VI001339A‐G) and EG‐MD‐6D (VI000380A‐G) from the Philippines, and PI 363534 (VI003220A‐G) from India.

Abstract Food production strategies and patterns are being altered in response to climate change. Enhancing the adaptation of important food crops to novel climate regimes will be critical to maintaining world food supplies. Climate change is altering the suitability of production areas for crops such as potato (Solanum tuberosum L.) making future productivity, resilience, and sustainability of this crop dependent on breeding for climate adaptation, including through the introgression of novel traits from its wild relatives. To better understand the future production climate envelopes of potatoes, and the potential of its wild relatives to contribute to adaptation to these environments, we estimated the climate of potato in four future climate scenarios and overlapped the current climate of 72 wild relative species and potato with these future climates. We discovered a shift of up to 12.5% by potato from current to novel climate by 2070 and varying magnitudes of overlap by different wild relatives with potato, primarily driven by the extent of endemism. To address the threat of novel climate on potato production and with the wealth of data available for the agrobiodiversity in potato wild relatives, we systematically developed a prioritization value inspired by the logic of the breeder's equation for locating potentially beneficial species possessing local adaptability, climatic plasticity, and interspecific crossability. In doing so, 26 unique species by discrete climate combinations are found, highlighting the presence of unique species to use in adapting potato to changing local climates. Further, the 20 highest prioritized values belong to diploid species, enforcing the drive to shift into diploid breeding by the potato research community, where introgression of the local climate adaptability traits may be more streamlined.

Understanding the factors driving ecological and evolutionary interactions of economically important plant species is important for agricultural sustainability. The geography of crop wild relatives, including wild potatoes (Solanum section Petota), have received attention; however, such information has not been analysed in combination with phylogenetic histories, genomic composition and reproductive systems to identify potential species for use in breeding for abiotic stress tolerance. We used a combination of ordinary least-squares (OLS) and phylogenetic generalized least-squares (PGLM) analyses to identify the discrete climate classes that make up the climate niche that wild potato species inhabit in the context of breeding system and ploidy. Self-incompatible diploid or self-compatible polyploid species significantly increase the number of discrete climate classes within a climate niche inhabited. This result was sustained when correcting for phylogenetic non-independence in the linear model. Our results support the idea that specific breeding system and ploidy combinations increase niche breadth through the decoupling of geographical range and niche diversity, and therefore, these species may be of particular interest for crop adaptation to a changing climate.

Global biodiversity hotspots are areas containing high levels of species richness, endemism and threat. Similarly, regions of agriculturally relevant diversity have been identified where many domesticated plants and animals originated, and co-occurred with their wild ancestors and relatives. The agro-biodiversity in these regions has, likewise, often been considered threatened. Biodiversity and agro-biodiversity hotspots partly overlap, but their geographic intricacies have rarely been investigated together. Here we review the history of these two concepts and explore their geographic relationship by analysing global distribution and human use data for all plants, and for major crops and associated wild relatives. We highlight a geographic continuum between agro-biodiversity hotspots that contain high richness in species that are intensively used and well known by humanity (i.e., major crops and most viewed species on Wikipedia) and biodiversity hotspots encompassing species that are less heavily used and documented (i.e., crop wild relatives and species lacking information on Wikipedia). Our contribution highlights the key considerations needed for further developing a unifying concept of agro-biodiversity hotspots that encompasses multiple facets of diversity (including genetic and phylogenetic) and the linkage with overall biodiversity. This integration will ultimately enhance our understanding of the geography of human-plant interactions and help guide the preservation of nature and its contributions to people.