The importance of giving precedence to sustainable agriculture has grown significantly due to the escalating difficulties brought about by climate change and population expansion. The convergence of climate change and an expanding global population has the potential to jeopardize food security on a worldwide scale. Climate change gives rise to a multitude of challenges such as extreme temperatures, water scarcity, erratic rainfall patterns, unfavorable soil conditions, increased CO2 levels, prolonged periods of stress, heightened stress levels, and stress combinations. Different -omics approaches, which include genomic, transcriptomics, metabolomics, proteomics, and phenomics datasets, have experienced significant progress in recent years thanks to advancements in technology. Individually or in combination with others, these approaches shed light on the complex elements that impact plant growth and development, their ability to withstand stress, and their capacity for adaptation. Conventional agricultural practices lead to the destruction of forests, contamination of water sources, release of greenhouse gases, and deterioration of soil quality due to their dependence on large-scale land utilization, heavy application of chemical fertilizers, and monocropping cultivation. In this context, ensuring sustainable agriculture is crucial for overcoming presented challenges. In addition to implementing the foundation of sustainable agriculture, including crop rotation, no-till farming, and organic farming, the integration of different omics, including panomics (genomic, transcriptomics, metabolomics, proteomics, and phenomics), into agricultural practices represents a groundbreaking shift in current strategies for improving crops (plant breeding) - developing new crop varieties and managing resources.This research topic aims to examine state-of-the-art -omics techniques that aid in achieving sustainable agriculture. The goal is to present pioneering approaches for the transformation of agricultural practices and crop enhancement. Specific questions to be addressed include how multi-omics strategies can enhance crop resilience to both biotic and abiotic stress, and how these approaches can provide insights into the genetic and molecular basis of crops. Hypotheses to be tested may involve the effectiveness of integrating various -omics data in developing innovative plant breeding strategies for sustainable agriculture.To gather further insights into the boundaries of sustainable agriculture through -omics approaches, we welcome articles addressing, but not limited to, the following themes:- Utilization of multi-omics strategies for enhancing crop resilience to abiotic stress- Employing multi-omics approaches to improve crop resilience against both biotic and abiotic stress- Employing -omics approaches to gain insights into the genetic and molecular basis of crops- Innovative plant breeding strategies for sustainable agricultureDisclaimer: External validation of the data should be provided in the supplementary data, particularly regarding the experimental validation of the findings. While in silico data can be used as a supplementary method, it should not replace experimental validation. We encourage the inclusion of in silico data for added context or support, but it should be complemented with experimental validation to ensure robustness and credibility.
The importance of giving precedence to sustainable agriculture has grown significantly due to the escalating difficulties brought about by climate change and population expansion. The convergence of climate change and an expanding global population has the potential to jeopardize food security on a worldwide scale. Climate change gives rise to a multitude of challenges such as extreme temperatures, water scarcity, erratic rainfall patterns, unfavorable soil conditions, increased CO2 levels, prolonged periods of stress, heightened stress levels, and stress combinations. Different -omics approaches, which include genomic, transcriptomics, metabolomics, proteomics, and phenomics datasets, have experienced significant progress in recent years thanks to advancements in technology. Individually or in combination with others, these approaches shed light on the complex elements that impact plant growth and development, their ability to withstand stress, and their capacity for adaptation. Conventional agricultural practices lead to the destruction of forests, contamination of water sources, release of greenhouse gases, and deterioration of soil quality due to their dependence on large-scale land utilization, heavy application of chemical fertilizers, and monocropping cultivation. In this context, ensuring sustainable agriculture is crucial for overcoming presented challenges. In addition to implementing the foundation of sustainable agriculture, including crop rotation, no-till farming, and organic farming, the integration of different omics, including panomics (genomic, transcriptomics, metabolomics, proteomics, and phenomics), into agricultural practices represents a groundbreaking shift in current strategies for improving crops (plant breeding) - developing new crop varieties and managing resources.This research topic aims to examine state-of-the-art -omics techniques that aid in achieving sustainable agriculture. The goal is to present pioneering approaches for the transformation of agricultural practices and crop enhancement. Specific questions to be addressed include how multi-omics strategies can enhance crop resilience to both biotic and abiotic stress, and how these approaches can provide insights into the genetic and molecular basis of crops. Hypotheses to be tested may involve the effectiveness of integrating various -omics data in developing innovative plant breeding strategies for sustainable agriculture.To gather further insights into the boundaries of sustainable agriculture through -omics approaches, we welcome articles addressing, but not limited to, the following themes:- Utilization of multi-omics strategies for enhancing crop resilience to abiotic stress- Employing multi-omics approaches to improve crop resilience against both biotic and abiotic stress- Employing -omics approaches to gain insights into the genetic and molecular basis of crops- Innovative plant breeding strategies for sustainable agricultureDisclaimer: External validation of the data should be provided in the supplementary data, particularly regarding the experimental validation of the findings. While in silico data can be used as a supplementary method, it should not replace experimental validation. We encourage the inclusion of in silico data for added context or support, but it should be complemented with experimental validation to ensure robustness and credibility.