Publication Details |
| Category | Text Publication |
| Reference Category | Book chapters |
| DOI | 10.1016/B978-0-443-40401-6.00005-4 |
| Title (Primary) | Trait stacking strategies, applications, and future perspectives |
| Title (Secondary) | Designer crops. Implications of artificial intelligence and modern biotechnological methods |
| Author | Verma, K.; Singh, V.; Yadav, T.; Srivastava, N.; Sharma, P.; Singh, S.P. |
| Publisher | Upadhyay, S.K. |
| Year | 2027 |
| Department | AME |
| Page From | 275 |
| Page To | 305 |
| Language | englisch |
| Topic | T7 Bioeconomy |
| Abstract | Globally, agriculture is facing a multitude of complex challenges, such as rising pest infestations, increasing environmental stressors, and the depletion of essential natural resources, collectively posing substantial threats to the stability and sustainability of future agricultural productivity on a global scale. In this context, conventional crop breeding techniques alone are proving inadequate to meet the food demands of a rapidly increasing global population in a sustainable manner. To address these challenges, advances in molecular genetics and biotechnological innovations offer promising solutions for developing crop species with enhanced resilience to diverse environmental conditions. Among these approaches, genetic engineering has emerged as a powerful tool for modifying multiple traits or enhancing several agronomic characteristics in plants. In recent years, transgenic pyramiding, also known as stacking technology, has gained momentum, driven by the rapid development of genetically modified crops. This technology offers distinct advantages over traditional single-gene transgenic methods. By facilitating the precise and efficient modification of multiple traits in a single crop, gene pyramiding accelerates the development of varieties that are resistant or tolerant to various stresses, including drought, pests, and diseases. A key benefit of transgenic pyramiding is its ability to efficiently produce durable, multitrait-resistant crop lines with high precision in a shorter time frame, establishing it as a vital tool for sustainable agriculture. In comparison to traditional breeding methods, gene stacking significantly enhances breeding efficiency and precision, thereby supporting long-term agricultural sustainability. This chapter provides an in-depth overview of gene stacking principles, explores various biotechnological approaches used for trait pyramiding, and examines the methods being successfully employed to enhance crop tolerance to environmental stresses. Additionally, it outlines the future prospects of trait stacking in advancing crop resilience and ensuring sustainable agricultural practices. |
| Verma, K., Singh, V., Yadav, T., Srivastava, N., Sharma, P., Singh, S.P. (2027): Trait stacking strategies, applications, and future perspectives In: Upadhyay, S.K. (ed.) Designer crops. Implications of artificial intelligence and modern biotechnological methods p. 275 - 305 10.1016/B978-0-443-40401-6.00005-4 |
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