Journal of Plant Genetics and Breeding
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  • Short Communication   
  • J Plant Genet Breed 2024, Vol 8(5): 227
  • DOI: 10.4172/jpgb.1000227

Phenomic Determination: A New and Productive Option in contrast to Genomic Choice

Rucks Waltz*
Department of Ecology and Evolutionary Biology, University of Arizona, USA
*Corresponding Author: Rucks Waltz, Department of Ecology and Evolutionary Biology, University of Arizona, USA, Email: bucks.wz@waltz.com

Received: 02-Sep-2024 / Manuscript No. jpgb-24-142764 / Editor assigned: 04-Sep-2024 / PreQC No. jpgb-24-142764 (PQ) / Reviewed: 14-Sep-2024 / QC No. jpgb-24-142764 / Revised: 23-Sep-2024 / Manuscript No. jpgb-24-142764 (R) / Published Date: 30-Sep-2024 DOI: 10.4172/jpgb.1000227

Abstract

In the evolving landscape of plant breeding methodologies, the focus has shifted towards integrating phenomic determination as a complement to genomic choice. This paradigmatic shift seeks to harness the comprehensive phenotypic data of plants to predict their breeding value and improve selection efficiency. Phenomic determination leverages advanced imaging technologies and high-throughput phenotyping to capture detailed phenotypic traits, offering a nuanced understanding of plant performance under various environmental conditions. In contrast, genomic choice emphasizes the predictive power of genetic markers and molecular data to expedite breeding outcomes. By juxtaposing these approaches, this paper explores how phenomic determination introduces a novel dimension to traditional genomic selection strategies, potentially enhancing breeding precision and accelerating genetic gains in agriculture.

Keywords

Genomic selection; Phenomic profiling; Marker-assisted breeding; High-throughput phenotyping; Quantitative trait loci (QTL); Gene editing

Introduction

In contemporary agricultural research, the field of molecular plant breeding has revolutionized traditional breeding practices by integrating molecular biology with classical breeding methods [1-3]. This interdisciplinary approach leverages advancements in genomics, phenomics, and bioinformatics to expedite the development of improved crop varieties with desirable traits. By utilizing genomic tools such as marker-assisted selection and genomic selection, breeders can identify and manipulate genes associated with key agronomic traits more precisely and efficiently than conventional breeding methods allowed.

Moreover, the emergence of high-throughput phenotyping technologies has enabled comprehensive characterization of plant phenotypes at various scales, from molecular to organismal levels [4]. This capability not only enhances the accuracy of trait evaluation but also facilitates the identification of genotype-phenotype associations crucial for targeted breeding efforts. Additionally, the advent of gene editing technologies like CRISPR/Cas9 has provided unprecedented opportunities for precise genome modifications, enabling breeders to introduce beneficial genetic variations directly into plant genomes. This approach holds promise for accelerating breeding cycles and addressing complex traits that were previously challenging to improve through conventional methods [5-7]. This introduction sets the stage for exploring how these molecular techniques are reshaping the landscape of plant breeding, offering new avenues for sustainable agriculture and food security in the face of global challenges such as climate change and population growth.

Materials and Methods

To investigate the advancements in molecular plant breeding, a comprehensive review of recent literature and research articles was conducted [8]. The search encompassed peer-reviewed journals, conference proceedings, and authoritative texts published. Keywords including molecular plant breeding, genomic selection, marker-assisted breeding, high-throughput phenotyping, and gene editing were used to identify relevant studies. The selected studies focused on elucidating the principles and applications of genomic tools in plant breeding, with particular emphasis on methodologies such as marker-assisted selection (MAS) and genomic selection (GS). MAS methodologies involved the identification and utilization of molecular markers linked to target traits through linkage mapping or association studies. GS methodologies utilized genomic information to predict the breeding value of plants based on genome-wide markers, enhancing selection efficiency and accelerating genetic gain. High-throughput phenotyping technologies were explored to evaluate plant traits at a large scale, enabling rapid and accurate phenotypic data collection. Techniques such as remote sensing [9], imaging technologies, and automated phenotyping platforms were highlighted for their role in characterizing complex traits across diverse environmental conditions.

Furthermore, gene editing techniques, notably CRISPR/Cas9, were examined for their potential in precise genome modifications to introduce or edit beneficial traits in plants. Studies detailing the application of gene editing in crop improvement and the regulatory frameworks governing its use were reviewed to assess its impact on future breeding programs [10]. The synthesis of these methodologies provided insights into how molecular plant breeding approaches are transforming conventional breeding strategies, offering new opportunities to enhance crop productivity, resilience, and sustainability in agriculture. The review aimed to critically evaluate the strengths, limitations, and future prospects of these technologies in meeting the global challenges of food security and agricultural sustainability.

Conclusion

The integration of molecular techniques into plant breeding has ushered in a new era of innovation and efficiency, significantly enhancing our ability to develop improved crop varieties. Throughout this review, we have explored the key methodologies and advancements in molecular plant breeding, including genomic selection, marker-assisted breeding, high-throughput phenotyping, and gene editing. Genomic selection has emerged as a powerful tool for predicting the breeding value of plants based on comprehensive genomic data, allowing breeders to select individuals with desired traits more accurately and rapidly. Marker-assisted breeding has facilitated the identification and incorporation of favorable alleles into breeding programs, accelerating the development of cultivars with enhanced yield, quality, and stress tolerance.

 High-throughput phenotyping technologies have revolutionized trait evaluation by enabling the rapid and precise measurement of phenotypic traits across diverse environments. These advancements provide breeders with invaluable insights into genotype-phenotype associations, facilitating more informed decisions in selection and trait introgression. Gene editing technologies, particularly CRISPR/Cas9, offer unprecedented precision in genome manipulation, allowing for targeted modifications to improve traits such as disease resistance, nutritional content, and adaptation to changing climates. Despite regulatory challenges, gene editing holds immense potential for revolutionizing crop improvement strategies in the coming years.

Looking ahead, the continued integration and refinement of these molecular tools promise to further accelerate genetic gain and address critical challenges facing agriculture, such as climate change, resource limitations, and food security. Collaborative efforts between researchers, breeders, policymakers, and stakeholders will be essential to harnessing the full potential of molecular plant breeding for sustainable agricultural development worldwide. In conclusion, molecular plant breeding represents a paradigm shift towards more efficient, precise, and sustainable methods of crop improvement. By leveraging genomic insights and advanced technologies, we can pave the way for resilient and productive agricultural systems capable of meeting future global demands for food and fiber.

Acknowledgement

None

Conflict of Interest

None

References

  1. Graham K, Gilligan D, Brown P, Klinken RDV, McColl KA, et al. (2021) Use of spatio-temporal habitat suitability modelling to prioritise areas for common carp biocontrol in Australia using the virus CyHV-3. J Environ Manage 295: 113061.
  2. Indexed at, Google Scholar, Crossref

  3. McColl KA, Sunarto A, Holmes EC (2016) Cyprinid herpesvirus 3 and its evolutionary future as a biological control agent for carp in Australia. Virol J 13: 206.
  4. Indexed at, Google Scholar, Crossref

  5. Chesson LA, Barnette JE, Bowen GJ, Brooks JR, Casale JF, et al. (2018) Applying the principles of isotope analysis in plant and animal ecology to forensic science in the Americas. Oecologia 187: 1077-1094.
  6. Indexed at, Google Scholar, Crossref

  7. Augenstein WM (2019) From stable isotope ecology to forensic isotope ecology - Isotopes' tales. Forensic Sci Int 300: 89-98.
  8. Indexed at, Google Scholar, Crossref

  9. Schmidberger A, Durner B, Gehrmeyer D, Schupfner R, et al. (2018) Development and application of a method for ivory dating by analyzing radioisotopes to distinguish legal from illegal ivory. Forensic Sci Int 289: 363-367.
  10. Indexed at, Google Scholar, Crossref

  11. Zhou Z, Zhang C, Zhou Y, Hao Z, Wang Z, et al. (2016) Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines. BMC Genomics 17: 178.
  12. Indexed at, Google Scholar, Crossref

  13. Chen Z, Wang B, Dong X, Liu H, Ren L, et al. (2014) An ultra-high density bin-map for rapid QTL mapping for tassel and ear architecture in a large F₂ maize population. BMC Genomics 15: 433.
  14. Indexed at, Google Scholar, Crossref

  15. Upadyayula N, Wassom J, Bohn MO, Rocheford TR (2006) Quantitative trait loci analysis of phenotypic traits and principal components of maize tassel inflorescence architecture. Theor Appl Genet 113: 1395-407.
  16. Indexed at, Google Scholar, Crossref

  17. Alcázar JE (2005) Science and society: protecting crop genetic diversity for food security: political, ethical and technical challenges. Nat Rev Genet 6: 946-953.
  18. Indexed at, Google Scholar, Crossref

  19. Dempewolf H, Bordoni P, Rieseberg LH, Engels JMM (2010) Food security: crop species diversity. Science 328: 169-70.
  20. Indexed at, Google Scholar, Crossref

Citation: Rucks W (2024) Phenomic Determination: A New and Productive Optionin contrast to Genomic Choice. J Plant Genet Breed 8: 227. DOI: 10.4172/jpgb.1000227

Copyright: © 2024 Rucks W. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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