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Plant pathogens can decimate crops and render the local cultivation of a species unprofitable. In extreme cases this has caused famine and economic collapse. Timing is vital in treating crop diseases, and the use of computer vision for precise disease detection and timing of pesticide application is gaining popularity. Computer vision can reduce labour costs, prevent misdiagnosis of disease, and prevent misapplication of pesticides. Pesticide misapplication is both financially costly and can exacerbate pesticide resistance and pollution. Here, we review the application and development of computer vision and machine learning methods for the detection of plant disease. This review goes beyond the scope of previous works to discuss important technical concepts and considerations when applying computer vision to plant pathology. We present new case studies on adapting standard computer vision methods and review techniques for acquiring training data, the use of diagnostic tools from biology, and the inspection of informative features. In addition to an in‐depth discussion of convolutional neural networks (CNNs) and transformers, we also highlight the strengths of methods such as support vector machines and evolved neural networks. We discuss the benefits of carefully curating training data and consider situations where less computationally expensive techniques are advantageous. This includes a comparison of popular model architectures and a guide to their implementation. [ABSTRACT FROM AUTHOR]

A meta-analysis of multiple published simulations of crop yields predicts aggregate production losses for wheat, rice ( I Oryza sativa i ), and maize in both temperate and tropical regions by 2 °C warming with even greater crop losses in the second half of the 21st century (Challinor et al., 2014). Global emissions of CO SB 2 sb and other greenhouse gases have increased steadily since the pre-industrial era (Pedersen et al., 2021) leading to global temperature increases of >1 °C with most of this increase occurring within the last 50 years (IPCC, 2021). Also focusing on drought and the different molecular mechanisms involved in drought tolerance and drought recovery, Tang and Bassham (2022) address the important process of autophagy and its role in inducing drought tolerance. In their review article, Berrío et al. (2022) discuss several strategies to enhance drought resilience in crops focusing on "growth-centered" and "drought resilience without growth penalty" strategies. [Extracted from the article]

Katherine Denby is taking over as the new Editor in Chief of The Plant Journal (TPJ), following the work of Lee Sweetlove. Denby aims to continue the journal's reputation as a platform for excellent plant science and provide a high-quality publishing experience. TPJ is part-owned by the Society of Experimental Biology (SEB) and supports scientific meetings and early career researchers. The journal publishes original research articles, commissioned reviews, perspectives, technical advances, and resource articles. Denby expresses gratitude to Sweetlove for his leadership and hopes to continue building TPJ's reputation in the changing publishing landscape. [Extracted from the article]

SUMMARY: Accurate quantification of gene and transcript‐specific expression, with the underlying knowledge of precise transcript isoforms, is crucial to understanding many biological processes. Analysis of RNA sequencing data has benefited from the development of alignment‐free algorithms which enhance the precision and speed of expression analysis. However, such algorithms require a reference transcriptome. Here we generate a reference transcript dataset (LsRTDv1) for lettuce (cv. Saladin), combining long‐ and short‐read sequencing with publicly available transcriptome annotations, and filtering to keep only transcripts with high‐confidence splice junctions and transcriptional start and end sites. LsRTDv1 identifies novel genes (mostly long non‐coding RNAs) and increases the number of transcript isoforms per gene in the lettuce genome from 1.4 to 2.7. We show that LsRTDv1 significantly increases the mapping rate of RNA‐seq data from a lettuce time‐series experiment (mock‐ and Botrytis cinerea‐inoculated) and enables detection of genes that are differentially alternatively spliced in response to infection as well as transcript‐specific expression changes. LsRTDv1 is a valuable resource for investigation of transcriptional and alternative splicing regulation in lettuce. Significance Statement: Integrating long‐ and short‐read sequencing data from multiple lettuce tissues and treatments with existing publicly available transcriptome annotations led to the development of LsRTDv1. This is a reference transcript dataset that identifies novel genes and significantly increases the number of transcript isoforms per gene providing a valuable resource for accurate quantification of transcript‐level expression, and hence both transcriptional and post‐transcriptional regulation, in this leafy vegetable crop. [ABSTRACT FROM AUTHOR]

Our food system is giving rise to a growing social, health and environmental crisis. Much of the food consumed in the United Kingdom is cheap, nutrient‐poor and highly processed, leading to under‐consumption of essential foods such as grains, beans, vegetables and fruit. This has contributed to a rise in diet‐related diseases, with approximately 22% of primary school leavers being overweight or obese. Food production is unsustainable with agriculture responsible for 10% of the UK's greenhouse gas emissions and intensive farming practices have led to a significant loss of soil carbon and a decline in biodiversity. COVID‐19 increased inequalities in our food system. Therefore, there is an urgent need for interventions to counteract these adverse social, health and environmental impacts. Education can play a crucial role as an intervention to address challenges in the food system. We tested an innovative school initiative using portable aquaponic pods and aligned to the national curriculum, to engage pupils in food production and foster learning about sustainability, climate change and healthy eating. The evaluation, based on teacher surveys, aquapod chart data, student blogs and postcards and feedback from the development team, revealed positive impacts on students' environmental awareness, as well as sustainability and practical food production knowledge. However, the programme encountered logistical challenges and we therefore highlight future improvements to produce a curriculum programme that can be delivered at scale to enhance food education and empower pupils to drive the agenda on tackling food sustainability and climate change. [ABSTRACT FROM AUTHOR]

This paper provides an outline of a new interdisciplinary project called FixOurFood, funded through UKRI's 'Transforming UK food systems' programme. FixOurFood aims to transform the Yorkshire food system to a regenerative food system and will work to answer two main questions: (1) What do regenerative food systems look like? (2) How can transformations be enabled so that we can achieve a regenerative food system? To answer these questions, FixOurFood will work with diverse stakeholders to change the Yorkshire food system and use the learning to inform change efforts in other parts of the UK and beyond. Our work will focus on shifting trajectories towards regenerative dynamics in three inter‐related systems of: healthy eating for young children, hybrid food economies and regenerative farming. We do this by a set of action‐orientated interventions in schools and the food economy, metrics, policies and deliverables that can be applied in Yorkshire and across the UK. This article introduces the FixOurFood project and concludes by assessing the potential impact of these interventions and the importance we attach to working with stakeholders in government, business, third sector and civil society. [ABSTRACT FROM AUTHOR]

Key message: We demonstrate genetic variation for quantitative resistance against important fungal pathogens in lettuce and its wild relatives, map loci conferring resistance and predict key molecular mechanisms using transcriptome profiling. Lactuca sativa L. (lettuce) is an important leafy vegetable crop grown and consumed globally. Chemicals are routinely used to control major pathogens, including the causal agents of grey mould (Botrytis cinerea) and lettuce drop (Sclerotinia sclerotiorum). With increasing prevalence of pathogen resistance to fungicides and environmental concerns, there is an urgent need to identify sources of genetic resistance to B. cinerea and S. sclerotiorum in lettuce. We demonstrated genetic variation for quantitative resistance to B. cinerea and S. sclerotiorum in a set of 97 diverse lettuce and wild relative accessions, and between the parents of lettuce mapping populations. Transcriptome profiling across multiple lettuce accessions enabled us to identify genes with expression correlated with resistance, predicting the importance of post-transcriptional gene regulation in the lettuce defence response. We identified five genetic loci influencing quantitative resistance in a F6 mapping population derived from a Lactuca serriola (wild relative) × lettuce cross, which each explained 5–10% of the variation. Differential gene expression analysis between the parent lines, and integration of data on correlation of gene expression and resistance in the diversity set, highlighted potential causal genes underlying the quantitative trait loci. [ABSTRACT FROM AUTHOR]

• Describes impact of Maf1 depletion by RNAi and mutagenesis in Arabidopsis. • Selective increases in expression of specific tRNAs on Maf1 depletion. • Significantly enhanced plant growth after Maf1 depletion. • No evidence of increased vulnerability to a common pathogen. • Growth enhancement by Maf1 depletion retained during drought and salt stress. Maf1 is a transcription factor that is conserved in sequence and structure between yeasts, animals and plants. Its principal molecular function is also well conserved, being to bind and repress RNA polymerase (pol) III, thereby inhibiting synthesis of tRNAs and other noncoding RNAs. Restrictions on tRNA production and hence protein synthesis can provide a mechanism to preserve resources under conditions that are suboptimal for growth. Accordingly, Maf1 is found in some organisms to influence growth and/or stress survival. Because of their sessile nature, plants are especially vulnerable to environmental changes and molecular adaptations that enhance growth under benign circumstances can increase sensitivity to external challenges. We tested if Maf1 depletion in the model plant Arabidopsis affects growth, pathogen resistance and tolerance of drought or soil salinity, a common physiological challenge that imposes both osmotic and ionic stress. We find that disruption of the Maf1 gene or RNAi-mediated depletion of its transcript is well-tolerated and confers a modest growth advantage without compromising resistance to common biotic and abiotic challenges. [ABSTRACT FROM AUTHOR]