Unlocking the Power of Gene Banks: Diversity in Base Growth Temperature Provides Opportunities for Climate‐Smart Agriculture

Abstract

ABSTRACT Implementation of context‐specific solutions, including cultivation of varieties adapted to current and future climatic conditions, have been found to be effective in establishing resilient, climate‐smart agricultural systems. Gene banks play a pivotal role in this. However, a large fraction of the collections remains neither genotyped nor phenotyped. Hypothesizing that significant genotypic diversity in Musa temperature responses exists, this study aimed to assess the diversity in the world's largest banana gene bank in terms of base temperature ( T base ) and to evaluate its impact on plant performance in the East African highlands during a projected climate scenario. One hundred and sixteen gene bank accessions were evaluated in the BananaTainer, a tailor‐made high throughput phenotyping installation. Plant growth was quantified in response to temperature and genotype‐specific T base were modelled. Growth responses of two genotypes were validated under greenhouse conditions, and gas exchange capacity measurements were made. The model confirmed genotype‐specific T base , with 30% of the accessions showing a T base below the reference of 14°C. The Mutika/Lujugira subgroup, endemic to the East African highlands, appeared to display a low T base , although within subgroup diversity was revealed. Greenhouse validation further showed low temperature sensitivity/tolerance to be related to the photosynthetic capacity. This study, therefore, significantly advances the debate of within species diversity in temperature growth responses, while at the same time unlocking the power of gene banks. Moreover, with this case study on banana, we provide a high throughput method to reveal the existing genotypic diversity in temperature responses, paving the way for future research to establish climate‐smart varieties.

Plant phenotyping relevance

バナナ遺伝資源の温度応答を高スループットに定量化し、遺伝子型別の基底温度をモデル化・温室で検証しており、表現型取得法と検証が研究の中心です。

Code and data availability

The paper's phenotyping data (Tbase predictions for 116 banana genotypes, greenhouse growth measurements, image-based leaf area data) and analysis are not publicly deposited; the Data Availability Statement states data are available only on request. Supporting Information is mentioned but no public URL or repository is

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