Michela Janni
Elena Maestri
Mariolina Gullì
Marta Marmiroli
Nelson Marmiroli- 1Institute of Bioscience and Bioresources (IBBR), National Research Council (CNR), Bari, Italy
- 2Institute of Materials for Electronics and Magnetism (IMEM), National Research Council (CNR), Parma, Italy
- 3Department of Chemistry, Life Sciences and Environmental Sustainability, Interdepartmental Centers SITEIA.PARMA and CIDEA, University of Parma, Parma, Italy
- 4Consorzio Interuniversitario Nazionale per le Scienze Ambientali (CINSA) Interuniversity Consortium for Environmental Sciences, Parma/Venice, Italy
Global agricultural production must double by 2050 to meet the demands of an increasing world human population but this challenge is further exacerbated by climate change. Environmental stress, heat, and drought are key drivers in food security and strongly impacts on crop productivity. Moreover, global warming is threatening the survival of many species including those which we rely on for food production, forcing migration of cultivation areas with further impoverishing of the environment and of the genetic variability of crop species with fall out effects on food security. This review considers the relationship of climatic changes and their bearing on sustainability of natural and agricultural ecosystems, as well as the role of omics-technologies, genomics, proteomics, metabolomics, phenomics and ionomics. The use of resource saving technologies such as precision agriculture and new fertilization technologies are discussed with a focus on their use in breeding plants with higher tolerance and adaptability and as mitigation tools for global warming and climate changes. Nevertheless, plants are exposed to multiple stresses. This study lays the basis for the proposition of a novel research paradigm which is referred to a holistic approach and that went beyond the exclusive concept of crop yield, but that included sustainability, socio-economic impacts of production, commercialization, and agroecosystem management.
Global warming, temperature stress and eco-physiological effects on crop yield and quality
Climate change and agricultural production are highly correlated. It is now well established that global warming affects agriculture in several ways, including changes in average temperatures and rainfall. The predictability of extreme meteorological events (e.g. heat waves, flood and drought), changes in pests and diseases, increase in atmospheric carbon dioxide and ground-level ozone concentrations, and changes in the nutritional quality of foods (Zhao et al., 2020; Kumar et al., 2022) are among the drawbacks of this phenomena.
This study considers the relationship of climatic changes and their bearing on sustainability of natural and agricultural ecosystems, with a consideration to the role of omics-technologies, genomics, proteomics, metabolomics, phenomics and ionomics. Improving crops for higher adaptability and tolerance to climate changes can be achieved by resource saving technologies as precision agriculture and new fertilizers and amendments. Nevertheless, the adoption of a more holistic vision of agriculture and food production is necessary to achieve sustainable food security.
Global warming is defined as the continuing rise of the average temperature of the Earth’s climate system and is one of the cause forcing climate change (IPCC, 2019; Seneviratne et al., 2021; Zandalinas et al., 2021). Temperature is one of the major environmental factors affecting plant growth, development, and yield. Temperatures persistently above those optimal for plant growth may induce heat stress (HS), thus constraining the flowering and fruit developmental processes and strongly reducing yields. At some threshold high temperature may cause plant death. Extreme heat events can be classified according to the maximum temperatures reached (intensity), how often the events occur (frequency), and how long they last (duration). Extreme HS episodes and prolonged heat (global warming) demand radically different approaches from breeders to meet the demands of farmers, and consumers for food security. Several aspects need to be considered when carrying out risk assessment for crop production and food security. These include the extent of the adverse event, how frequently the sustainable temperature thresholds are likely to be crossed within the growing season, whether these extreme episodes exceed lethal temperatures, and the length of the event. Models, that capture the variety of drivers determining crop yield variability and scenario climate input data that samples the range of probable climate variation have been developed with an eye towards the mitigation of yield losses (Ribeiro et al., 2020; Schauberger et al., 2021; Stella et al., 2021). Under a global warming scenario, the identification of the temperature thresholds for the major crop plants and their effects on yield is vital in predicting risk for food security (Zhao et al., 2017).
This is particularly true when considering that frequency and intensity of heat events will increase dramatically in the future, especially in tropical regions (geographic perspective) and in developing countries (national perspective) leading to >15% of global land becoming more exposed to levels of heat stress that will affect both food production and human health (Sun et al., 2019).
Food production in the last century has shifted from the use of about 2500 different plant species to reliance on the ‘four queens’: rice, wheat, maize, and soybean (Smýkal et al., 2018) (Figure 1). These crops provide two-thirds of the total human energy intake, while the grain legumes alone contribute 33% of required human dietary proteins. This affects food security and environmental sustainability (Foyer et al., 2016). Persistent dependence on such a small number of agricultural commodities (Khoury et al., 2014) coupled with climate uncertainties (Foley et al., 2011) could become factors of great economic instability and political vulnerability. Assessing the impact of global temperature increases on the production of these commodity crops is therefore a critical step for maintaining the global food security (Zhao et al., 2017) as discussed in recent reviews reporting on the threshold temperatures for several crop species (Kaushal et al., 2016; Janni et al., 2020).
Figure 1 Map of probable shifts in cultivation areas of some key and traditional crops due to global warming and climate change, positioned on the heat prevision map extracted from the last IPPN report (2081-2100).
Several examples have been reported of the effects of heat on crop yield and quality. In wheat a mean daily temperature of 35°C caused total failure of the plant, while exposure to short episodes (2–5 days) of HS (>24°C) at the reproductive stage (start of flowering) resulted in substantial damage to floret fertility leading to an estimated 6.0 ± 2.9% loss in global yield with each degree-Celsius (°C) increase in temperature [8, 35]. Increasing the duration of high temperature at this stage linearly reduced the grain weight (Prasad and Djanaguiraman, 2014); similarly for pea (Bhattacharya, 2019), lentil (Barghi et al., 2012) and chickpea (Wang et al., 2006). In response to 2°C of global warming, the total production in the top four maize-exporting countries is projected to decline by 53 million tons (51.9–54.8), equivalent to 43% (41.5–43.8) of global maize export volume (Tigchelaar et al., 2018). Kaushal et al. (2016) (Kaushal et al., 2016) provide an extensive analysis for several crop species of the threshold temperatures above which growth and development are compromised, while Zhou et al. (2022) (Zhou et al., 2022), extensively reported the physiological effects of heat stress on yield limitation (Zhou et al., 2022). A recent overview of the effects of threshold temperatures for vegetative growth and reproductive development in several crop species has been reported by Janni and co-workers (2020) (Janni et al., 2020). Even taking into account the heterogeneity in the collection of data and the time frames of experiments, it is evident that HS is correlated with decreased yields of the major crops; cereals are particularly sensitive to heat during grain filling, which also affects the quality (Maestri et al., 2002). Seed filling is a crucial growth stage for most crops, and involves mobilization and transport of various chemical constituents, and activates many biochemical processes made for the synthesis of proteins, carbohydrates, and lipids in the developing seeds (Ali et al., 2017). It is influenced by various metabolic processes occurring in the leaves, especially production and translocation of photo-assimilates, providing precursors for biosynthesis of seed reserves, minerals, and other functional constituents (Fahad et al., 2017; Sehgal et al., 2017).
HS can impair several physiological processes linked with seed size and quality. HS during grain filling markedly decreases starch accumulation (Hurkman et al., 2003), in rice (Yamakawa and Hakata, 2010) and maize (Yang et al., 2018) as well as the levels of sugars such as fructose and sugar nucleotides as hexose phosphate (Yang et al., 2018); the decrease in sugars may be related to enhanced assimilate utilization rather than to an increase in edible component production. In maize, waxy grain starch content was decreased, whereas protein content was increased, resulting in a change of grain quality (Yang et al., 2018). Moreover, increasing temperature and CO2 induces protein and micronutrients contents in grain (Chakraborty and Newton, 2011) and in soybean (Li et al., 2018). In soybean under HS, total free amino acids were reduced together with the total protein concentration, while the oil concentration was significantly increased (Takahashi et al., 2003). As a general conclusion, under HS, reductions in total yield are mainly due to alteration of the source and sink activities that take place.
Although it might be argued that the ‘fertilization effect’ of increasing CO2 concentration may benefit crop biomass thus raising the possibility of an increased food production (Degener, 2015), emerging evidence has demonstrated a reduction in crop yield if increased CO2 is combined with high temperature and/or water scarcity, making a net increase in crop productivity unlikely (Long et al., 2006). Water supply is thus a deeply linked issue. It has been estimated that in the period 1990-2020 total rainfed and irrigated growing areas together increased by 35% for maize, 0.3% for wheat, 13% for rice, and 159% for soybean. Rainfed areas for wheat and rice decreased by 10 and 7%, respectively, while the rainfed maize area increased by 24% (compared to the 35% increase in total area), and rainfed soybean areas increased by 158% - most of the increase in soybean areas was rainfed (Sloat et al., 2020).
Moreover, each 1°C rise in the global mean temperature reduces global maize yield by 7.4%, wheat yield by 6.0%, rice yield by 6.2%, overall milled rice by 7.1–8.0%, head rice by 9.0–13.8% and overall milling profit by 8.1–11.0% and soybean yield by 3.1% (Parthasarathi et al., 2022).
When the combination of drought and heatwave is considered, production losses considering cereals including wheat (−11.3%), barley (−12.1%) and maize (−12.5%), and for non-cereals: oil crops (−8.4%), olives (−6.2%), vegetables (−3.5%), roots and tubers (−4.5%), sugar beet (−8.8%), among others (Brás et al., 2021).
Agroecosystems resilience, plant resilience, temperature tolerance
An increases of global temperature was perceived already in the 70s and lead to the definition of this phenomena as global warming (Broecker, 1975). Indeed, the majority of reports have warned that HS due to increases in global temperature can cause global yield to a decline (Sadok and Jagadish, 2020; Zhu et al., 2022) as a result of eco-physiological stress.
In fact, projections of climate change risks produced through advanced modelling are consistent in indicating a negative influence on crop production (Challinor et al., 2014; Konduri et al., 2020) and a worsening in food quality and nutritional values (Chakraborty and Newton, 2011). Climate models can forecast temperature increases at the regional level with higher certainty than other changes, as precipitation. Multimethod analysis can improve our confidence in assessment of some aspects and consequences of future climatic impacts on crop productivity and inform about the adoption of specific rescue strategies (Zhao et al., 2017). After 30 years of efforts and some progress under the United Nations Framework Convention on Climate Change (UNFCCC), the anthropogenic greenhouse gas (GHG) emissions in continue increases and the evenience of a catastrophic exit is relatively under-studied and poorly understood (Kemp et al., 2022).
The specialization in crop selection and production, and the economic scale that has developed, have led to a huge increase in productivity in agroecosystems. But the long-term sustainability of these may be reduced by some of the constraints associated with global warming, especially when it is considered what the current complex agroecosystems provide not only for harvest, but also for other important ecosystem services of great social and economic value (Di Falco and Chavas, 2008).
Several reviews have addressed mainly HS effects on crop yield, focusing on the role played by the molecular mechanisms underpinning plant resilience and yield reduction (Table 1). However, most did not consider global warming and HS as significant combinatorial factors (Table 1) in acting to reduce food security.
Table 1 Recent reviews and articles focused mainly on heat stress and effects on crop yield and the main components of defense responses.
Resilience of cropping systems to global warming and to temperature increase can be described in terms of resilience of the related agroecosystems, i.e. their capacity to support yield in critical environmental conditions like HS (Allan et al., 2013; Zampieri et al., 2020; Saeed et al., 2023). We can think the resilience of an ecosystem as the capacity to maintain its function, identity and organization, though subjected to a critical disturbance (Holling, 1978). For agroecosystems this definition is problematic due to the bias of human intervention, but metrics of resilience can be taken into consideration in a framework which uses a number of phenological indicators (Cabell and Oelofse, 2012; Deutsch et al., 2018).
Resilience is certainly a holistic way to describe some properties of agroecosystems which are context-dependent (Carpenter et al., 2001). But a system considered resilient today can become less so over the years or even the months, because of a gradual or a sudden changes of context (Holling, 2001). Tolerance to temperature stress has a cost because it implies a consistent allocation of energy resources to maintain survival at the expense of reproduction and growth and therefore with a tradeoff between maintenance and yield.
Three mutually interacting concepts need to be considered when dealing with agroecosystems. These are (i) agroecosystem welfare and the way it interacts with human needs over the time; (ii) agroecosystem resilience, meaning its capacity to adapt, overcome stress and reorganize in stressing environments or when perturbation to the norm becomes frequent, as in global warming; and (iii) food security, the production of sufficient food of good quality for the human and animal populations. A holistic approach to food security expands the problem well beyond the simple concept of crop yield, also including sustainability, socio-economic impacts of production, commercialization, and agroecosystem management.
Both social and biological aspects are relevant to a correct management of agroecosystems. But climate change and global warming could give rise to such a rapid, deep, and unpredictable changes that current agroecosystems may fail to adapt. Recently, a meta-analysis on 10,000 animal species has been published considering only phenological traits, concluding that most of these species are at a risk of not surviving if global change continues in intensity and direction. Even maintaining the highest possible level of diversity within our agroecosystems may not be sufficient to combat global change and its effects on food security (Hoy, 2015).
Global warming and temperature increase are often taken as stressor examples but although they are certainly threatening phenomena, it is difficult to isolate each single component from them. Plants resilient to global warming and temperature increase may be capable of withstanding HS without any significant departure from their growth habits and productivity (Maestri et al., 2002; Law et al., 2018).
Novel fertilizers and biostimulants to increase plant resilience
As previously widely discussed, global changes including high temperatures, drought, and salt accumulation are reported main factors of soil desertification and plants yield reduction. In this context, biostimulants (BSts) could play crucial roles in mitigating the negative effects of stresses on plants by inducing several protection mechanisms, like molecular alteration and physiological, biochemical, and anatomical modulations (Sangiorgio et al., 2020; Bhupenchandra et al., 2022). They also stimulate the innate immune responses of plants to biotic stress by deploying cellular hypersensitivity, callose deposition, and lignin synthesis (Bhupenchandra et al., 2022).
Production of “conventional” chemical fertilizers has a large share in global CO2 emission, calculated in about 500 million tons/year (FAO, 2020) worldwide. Production of organic fertilizers on the other hand is largely dependent on animal farming with its considerable share of glass house gas emission (Timsina, 2018; Ramakrishnan et al., 2021) Sustainable alternatives under experimentation are nanofertilizers (Kah et al., 2018), biofertilizers (Bhardwaj et al., 2014) and new soil amendments (Rombel et al., 2022).
Nanofertilizers belong to the family of engineered nanoparticles (ENPs) with dimension between1-100nm and have shown some beneficial protecting effects on plants, like stimulation of growth and promotion of nutrients absorption (Abdel-Aziz et al., 2021; Kalwani et al., 2022). Recent studies on tomato have shown the beneficial effect of some nanoclay which confirmed previous studies in zucchini (Marmiroli et al., 2021; Pavlicevic et al., 2022).
Some advantage of nanofertilizers as compared to chemical fertilizers are the slower release of the nutrients with the time thus avoiding dispersion and washing out to superficial water body with risk of eutrofization (Zulfiqar et al., 2019). However, the production of nanofertilizers is still expensive and limited by regulatory frameworks and then use by farmer’s acceptance (Kah et al., 2018; Kah et al., 2019). Biological (Green) synthesis of Bio Nanofertilizers is very slow but may became a suitable option (Zulfiqar et al., 2019).
Plant growth promoting microorganisms (PGPM) are types of microbes (bacteria, fungi) that through a plant-microbe interaction stimulates the plant immune system (Backer et al., 2018). PGPM stimulates and enhances plant capabilities to absorb nutrients and defend from pathogens. This may result in increased plant yield and health (Backer et al., 2018; Lopes et al., 2021; Ramakrishnan et al., 2021). The performance of biofertilizers can be enhanced by combining them with soil amendments that have the positive characters of improving soil properties (pH, CE, water holding capacity) and stimulate microbial growth (Backer et al., 2018; Mohamed et al., 2019; Rouphael and Colla, 2020).
Among the newly developed soil improvers, biochar has gained same interest because: i) it is produced by pyrolysis or pyrogasification of removable biomasses which does produce no significant amounts of CO2, ii) on the contrary, once in the soil, increases significantly the soil CO2 holding capacity, iii) has a high porosity and absorbent capacity toward water, nutrients and iv) can provide a reliable niche for PGPM, thus favoring their persistence and growth in the soil after inoculation. Recently it has been found in wheat and maize that biochar “functionalized” with PGPMs favor the soil microbial diversity and the cross talk between plant and soil which leads to better plant physiological parameters (Graziano et al., 2022). A matrix evaluating risks and benefits in biochar utilization has been recently proposed (Marmiroli et al., 2022).
The relevance of these new BSts for the nutrition and health of plants in the condition of global warming is paramount. They increase the natural resilience of the plant against environmental clues (biotic and abiotic) through the stimulation of the plant immune system, potentiate the water holding capacity of the soil like “pore water” (Beesley et al., 2010)and therefore expose the plant to a low water stress, determining a slower release of nutrients and making the same more broad available from the plant.
An important consideration was also for the global savings in CO2 emission, which their introduction in agriculture may determine (Li and Chan, 2022).
Recent updates in omics for heat resilience
Many novel omic technologies, including genomics, proteomics, metabolomics, phenomics and ionomics, have been applied during the last few decades to investigate the modifications in the genome, transcriptome, proteome, and metabolome occurring as plant stress conditions change (Wani, 2019). Omic technologies provide independent information about the genes, genomes, RNAomes, proteomes and metabolomes; however, integrating these information is important for finding a durable solution to the questions addressed. A typical “integromics” study on the stress-responsive behavior of a given crop examines the genes and genome to understand their structure and organization and identifies candidate genes using either structural or functional genomics (Muthamilarasan et al., 2019), as well as data from metabolomics.
The progress of omics technologies has enabled direct and unbiased monitoring of the factors affecting crop growth and yield in response to environmental threats (Janni et al., 2020; Raza et al., 2021b; Raza et al., 2021a). Overall, omics constitute powerful tools to reveal the complex molecular mechanisms underlying plant growth and development, and their interactions with the environment, which ultimately determine yield, nutritional value (Setia and Setia, 2008; Soda et al., 2015), and the required level of agricultural inputs. Janni et al. (2020) reported an exhaustive list of success in case studies focused on the application of omics to several crops to enhance crop resilience to HS (Zhou et al., 2022).
Ionomics is a high-throughput elemental profiling approach which studies the mechanistic basis in mineral nutrient and of trace elements composition (also known as the ionome) of living organisms (Pita-Barbosa et al., 2019). By coupling genetics with high-throughput elemental profiling, ionomics has led to the identification of many genes controlling the ionome and of their importance in regulating environmental adaptation (Huang and Salt, 2016; Zhang et al., 2021).
Most genomics investigations are concentrated to understanding the role of Heat Shock Proteins (HSPs) and Heat Shock Factors (HSFs) in heat response in crops such as tomato (Scharf et al., 2012; Marko et al., 2019), in barley (Mangelsen et al., 2011) and wheat (Maestri et al., 2002; Hurkman et al., 2013; Comastri et al., 2018), with a focus on flower development and flowering time. Reactive Oxigen Species (ROS) genes also play a key role in basal heat tolerance, alone or as regulators of the activation of HSF (Driedonks et al., 2016) and therefore are considered with equal interest.
Other reviews have discussed the identification of differentially expressed genes (DEGs) associated with heat stress (Masouleh and Sassine, 2020; Wang et al., 2020; Zhao et al., 2020; Kang et al., 2022). Proteomics has provided detailed information for the encoded proteins, revealing their function in stress tolerance mechanisms (Priya et al., 2019; Katam et al., 2020) in several plant species and developmental stages (Janni et al., 2020; Chaturvedi et al., 2021). Adaptive response to HS also involves various post-translational modifications (PTMs) of proteins. The accumulation of stress-associated active proteins (SAAPs) in wheat has been reported recently (Kumar et al., 2019).
New breeding techniques (NBTs) and in particular those based on genome editing (CRISPR/Cas9) encompasses an impressive and revolutionary set of molecular tools to enhance productivity by creating genetic variability for breeding purpose, disease-free and healthy planting genetic material, improvement in stress tolerance (Mote et al., 2022; Brower-Toland et al., 2023; Liu et al., 2023). The genome-editing approach can significantly accelerate the breeding times to select environmentally tolerant crop varieties (Zhang et al., 2023).
It is now well established that major environmental stress causes metabolic reorganization towards homeostasis, maintaining essential metabolism and synthesizing metabolites with stress-protective and signaling characteristics (Schwachtje et al., 2019). This has been determined applying untargeted metabolomics in species including tomato (Paupière et al., 2017), maize (Qu et al., 2018), barley (Templer et al., 2017), wheat (Thomason et al., 2018; Buffagni et al., 2020; Yadav et al., 2022), soybean (Xu et al., 2016), citrus (Zandalinas et al., 2017) and rice (Sun et al., 2022). Sugars, free amino acids, antioxidants, fatty acids and organic compounds are key players in the heat response and in the response to combined stresses such as heat plus drought (Vu et al., 2018). Furthermore, lipids, being major components of cells and organelles membranes, are among the first targets of ROS produced during HS (Narayanan et al., 2016; Narayanan et al., 2018). An interesting correlation was found between the type of metabolites involved and the need to protect specific cellular functions or cell compartments from the adverse effects of stress, drawing attention to the application of metabolomics approaches for identification of new genetic materials for breeding.
Improvements have been achieved in recent years using plant phenomics as a tool to mitigate global warming effects and shaping genotypes and varieties more adaptable to the ongoing environmental challenges. Plant phenotyping enables non-invasive quantification of plant structure and function and interactions with their environment and can be employed in pre-breeding and breeding selection processes (Watt et al., 2020). Modern plant phenotyping measures complex traits related to growth, yield, and adaptation to stress, with an improved accuracy and precision at different scales of organization, from organs to canopies (Fiorani and Schurr, 2013). High throughput phenotyping (HTP) involves the acquisition of digital phenotypic traits by means of sensors, typically in the visible spectrum, as well in the near infrared, and in the induced fluorescence domain (Tardieu et al., 2017), to monitor plant photosynthetic activity (Li et al., 2014; Perez-Sanz et al., 2017), growth status (Petrozza et al., 2014; Danzi et al., 2019) and overall water content as main components of plants’ response to stress. HTP has been used successfully to monitor heat stress in plant species including rice, wheat and Arabidopsis and to select stay-green genotypes (Araus and Kefauver, 2018; Juliana et al., 2019; David et al., 2020; Gao et al., 2020; Karwa et al., 2020; Karwa et al., 2020; Luan and Vico, 2021; Pettenuzzo et al., 2022).
Successful image-based methods have been developed that directly target yield potential traits, in particular by increasing the throughput and accuracy of enumerating wheat heads in the field to help breeders manipulate the balance between yield components (plant number, head density, grains per head, grain weight) and environmental conditions in their breeding programs (David et al., 2020).
The application of biosensors in the field and under controlled environment conditions increases comprehension of the mechanisms underlying ionomics and metabolomics and can markedly improve the efficiency of water management as well as informing breeders of the most resilient genotypes (Coppedè et al., 2017; Janni et al., 2019).
The perception that inadequate phenotyping methods can hinder genetic gain in major crops has aroused the interest of the scientific community and the launch of national, regional, and international initiatives (Araus et al., 2018) such as IPPN (https://www.plant-phenotyping.org/), EPPN2020 (eppn2020.plant-phenotyping.eu) and EMPHASIS (https://emphasis.plant-phenotyping.eu/). With the increased availability of large-scale datasets, deep learning has become the state of the art approach for many computer vision tasks involving image-based plant phenotyping (Singh et al., 2018; Alom et al., 2019; David et al., 2020) allowing the development of powerful image-based models.
A holistic thinking within knowledge-based strategies to tackle with global changes
Soon, temperature increases, and global warming are significantly affect the economy and all other aspects of life. Occasional heat waves have always been an aspect of summer weather in many areas of the world; but as climate change makes heat waves more frequent and more intense, the consequent risks for the agriculture sector need to be rethought strategically (Figure 2). The economic drawback of prolonged exposure to heat on a quantity measure of output in agriculture is stronger. Specifically, an abnormally hot day proceeded by at least eight others reduces the FAO Crop Production Index by almost 3%. Heat-wave measure implies per-wave reductions in output ranging from $0.8–3.1 billion for agriculture and up to $31.9 billion in other sectors (Miller et al., 2021). Moreover, ensembled mean projections, average per-country losses reaching 10.3% of agricultural output per year by 2091–2100 without considering mitigation strategies, and 4.5% with adaptation (Miller et al., 2021).
Figure 2 Soil-CO2 emissions-Global Warming and Sustainability connection with an holistic view.
Breeding aims to become the main player in mitigating the effects of global warming. It was employed during the green revolution as a tool to boost yields by crossing smaller, hardier versions of common crops. Farmers used these alongside improved irrigation methods, strong pesticides and efficient fertilizers (Rehm, 2018). The cooperation of modelers, systems biologists, breeders, and farmers to accommodate environmental changes and improve sustainability, reflects the philosophy of the holistic approach needed to overcome the challenge involved in global warming.
Despite the continuous advances in plant science and understanding of the biophysical and molecular responses to local warming and temperature increase, little has been achieved to maintain crop yield and growth under temperature increases and to react to the consequent socio-economic challenges. It has been estimated that a breeding program takes about 30 years “from lab to fork” and although omics approaches have helped to reduce this time-scale, the interval between a discovery and its application is still too long (Varshney et al., 2014). Moreover, genetic breeding (molecular or not, engineered or not) mostly addresses individual traits, like resistance to a specific pathogen or pest, but is still poor in dealing with complex traits like tolerance to temperature increase (Comastri et al., 2018; Janni et al., 2020).
Thus, to address the global climate challenge a multifaceted and holistic approach in which crop production is seen only as one aspect of agroecosystem stress resilience is needed. To consider together the agroecosystem, the plant, and the novel technologies now available the shaping of more adaptable crops is mandatory.
The entire food chain, from the discovery of new varieties to their introduction in the market, requires suitable regulatory processes and distribution systems, which call for advanced management and marketing capacities. The entire chain that affects future developments has been termed the BDA process (Breeding, Delivery and Adoption) (Challinor et al., 2016). The means of adapting to global warming and temperature stress are certainly context-dependent, but they also show some common features. Knowledge-based strategies are needed to deal with food security both in developed and developing countries. In this field, the recent success of many African countries - the “African Green Revolution” - risks to being nullified by lack of strategies to help farmers overcome the problems posed by global warming.
Combination of “Omic” technologies are vital for the identification of key genes and metabolic pathways and can support marker-assisted breeding to cope with climate change (Zenda et al., 2021).The dissection of the genetic basis of important agronomic traits, as grain yield, grain size, flowering time, fiber quality and disease resistance paves the way for the application of new breeding techniques (NBTs) in breeding programs (Bohra et al., 2022) or in the exploitation of existing genetic resources through NGS (next-generation sequencing) (Mahmood et al., 2022). Moreover, plant phenotyping bridges two approaches essential for a sustainable production of food security: breeding and precision farming, both under controlled conditions (Janni and Pieruschka, 2022).
Campbell et al. (2016) (Campbell et al., 2016) pinpointed four challenges when counteracting the threats posed to food security by climate change: 1) changing the culture of research; 2) creating economical options for farmers, communities, and countries; 3) ensuring options that are relevant to the situations more affected by climate change; and 4) combining strategies such as adaptation and mitigation. Solutions like climate-change smart communities, and farming systems practicing Conservative Agriculture (Davies and Ribaut, 2017) are viewed with interest in developed countries too as permitting resilient agriculture and greater sustainability, and are well suited to the vision of a circular economy.
Climate change is in the process of imposing a highly selective extinction of animals and plants. Natural biodiversity alone does not suffice to preserve habitats and agroecosystems. It is obvious that human efforts will need to be directed to protect the low number of cultivated species essential for food security, by also exploring the existing biodiversity to discover novel alleles for climate adaptation (Danzi et al., 2021; Snowdon et al., 2021) and old species that may return useful. To address this emergency, more studies are explicitly considering complex and multifactorial stress combination (Dey et al., 2016; Lovell et al., 2016; Rivero et al., 2022; Zandalinas and Mittler, 2022). Thanks to these studies several evidence on the importance of higher level of complexity was found. While each of the different stresses (salt, high light, herbicides, heat, drought) applied individually, had a negligible effect on plant growth and survival, the accumulated impact of multifactorial stress combination on plants was detrimental. Unique and on that specific pathways and processes are triggered when combination of stresses was applied (Zandalinas and Mittler, 2022).
To exploit the molecular basis and processes associated with plant responses to HS, and the mechanisms of tolerance, more genome sequence information were essential including the pan-genomes of cultivated and wild species and precise identification of key alleles and genes. Precise identification and characterization of specific haplotypes will lay the foundation for genomic-assisted breeding strategies, including genome editing, for improved resilience, coupled with higher economic yields and higher sustainability.
To tackle the upcoming HS scenarios, a new breeding paradigm is required to focus not on single stress effectors but to move in the direction of higher complexity. The adoption of a holistic approach for climate-resilient breeding should be the next revolution to enable the sustainability of crop production.
Sustainability goes beyond three precise steps within the food supply chain: i) development of food systems; ii) reduction of food loss and waste (FLW); and iii) global dietary change toward plant-based diets (Garcia-Oliveira et al., 2022).
The holistic approach starts from considering the trade-off between food security and nutrition; livelihoods; environmental sustainability, novel technology. The proposed approach meets the targets of the Sustainable Development Goals (SDGs) - in particular SDG 2, which aims to create a world free of hunger by 2030. Again, the integration of socioeconomic developments and climatic crisis within the context of global change and worst the need to prompt policymakers and stakeholders to consider these insights to inform future assessments and policymaking efforts.
Adaptation to climate change of agroecosystems requires holistic actions and the shift from punctual responses to an integrated approach but on the same scale. Some proposals in this direction are related to technical interventions, for example, from genomic and phenotypic characterization to obtain seed varieties that were more resistant to drought and high temperatures, varieties with adapted growth cycles, modifications on the use of agricultural amendments, and optimization of precision irrigation methods (Mirón et al., 2023).
In view of a holistic approach resource savings technologies should be considered as mitigating technology toward the achievement of increased sustainability (Ermakova et al., 2021).
Precision agriculture technologies have the potential to play a key role in the implementation of Climate Smart Agriculture by aiding farmers to tailor farm inputs and management conditions (Toriyama, 2020). Several key technologies are already in use in agriculture to improve sustainability and resource use efficiency as for example variable rate application that allowed for a strong reduction in N2O usage up to 34% (Mamo et al., 2003; Kanter et al., 2019).
Irrigation, as the use of special multilayer soil structures (fertile layer/hydro accumulating layer/sand), secondary water for irrigation, and desalination of salt water, using reverse osmosis or evaporation, embracing the concept of circular economy as part of the global solution (Myrzabaeva et al., 2017; Martinez-Alvarez et al., 2020; Gao et al., 2022). But how to mitigate climate change from a circularity perspective has become a trending topic (Romero-Perdomo et al., 2022) more than a search for pragmatic solutions.
In this frame, novel technologies based sensors as remote, proximal and in vivo sensors and sensor’s platforms can significantly enhance irrigation efficiency and produce water savings (Janni et al., 2019; Segarra et al., 2020; Tavan et al., 2021; Kim and Lee, 2022) becoming more familiar in everyday farm management.
Finally, and ironically, the omics approach has generated data which emphasizes epigenetics, the broad term used to describe all causes of variation which cannot be explained with classical genetics. Transposons, non-coding RNAs, chromatin regulation and chemical modification are among these. One point of considerable interest is the role of non-coding RNAs such as microRNA(miRNA) in modulating plant response to several abiotic stresses including HS (Pagano et al., 2021), and the fact that these miRNAs are part of the innate reaction to this stress, the “plant immune system”.
This work is aimed at opening new perspectives for dissemination and to give novel thoughts in the light to mitigate the dramatic effects of climate change. Overall, the holistic approach targets several areas of interest to public research institutions, policy makers, food producers and farmers, brad public, and consumers. Omics in this vision, represents a first and road in the sustainability in agriculture (Braun et al., 2023; Gil, 2023). This work considers all aspects of food production, highlighting the strength and weak of the current approaches.
Author contributions
MJ: Conceptualization, Writing – original draft. EM: Supervision, Writing – review & editing. MG: Supervision, Writing – review & editing. MM: Supervision, Writing – review & editing. NM: Funding acquisition, Supervision, Writing – original draft.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors wish to thank the CINSA Consortium for financial support for the preparation of this review. The authors wish to acknowledge the support of the project SUSTAINOLIVE, funded through PRIMA-EU grant agreement no. 1811, SIMBA funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 818431, CONNECTFARMS SusCrop- ERA-NET funded under the Joint Call of the Cofund ERA-Nets SusCrop (Grant N° 573 771134), FACCE ERA-GAS (Grant N° 696356), ICT-AGRI-FOOD (Grant N° 862665) and SusAn 574 (Grant N° 696231). The study was also partially supported by the Project FENICE project founded by CARIPLO.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Author disclaimer
This output reflects only the author’s view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein.
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Keywords: global change, food security, global warming, holistic approach, omics, sustainability
Citation: Janni M, Maestri E, Gullì M, Marmiroli M and Marmiroli N (2024) Plant responses to climate change, how global warming may impact on food security: a critical review. Front. Plant Sci. 14:1297569. doi: 10.3389/fpls.2023.1297569
Received: 20 September 2023; Accepted: 14 December 2023;
Published: 05 January 2024.
Edited by:
Wenqin Wang, Shanghai Normal University, ChinaReviewed by:
Gonzalo Gajardo, Universidad de los Lagos, ChileShonil Anil Bhagwat, The Open University, United Kingdom
Copyright © 2024 Janni, Maestri, Gullì, Marmiroli and Marmiroli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Michela Janni, michela.janni@imem.cnr.it