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Herramientas del fitomejoramiento moderno para obtener nuevos cultivares

Translated title of the contribution: Modern plant breeding tools to obtain new cultivars

Publication: Contribution to journalReview articlepeer-review

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Abstract

The modernization of plant breeding stems from the strategic convergence of biotechnology and big data analytics to address the climate crisis with more resilient, sustainable, and high-quality cultivars that meet consumer demand. Using high-density molecular markers, plant breeders identify specific genes and select superior genotypes without waiting for the traittoexpressphysically, drastically reducing breeding cycles. This precision is enhanced by high-throughput phenotyping, where drones and sensors capture environmental variables that are integrated into predictive genomics models. Algorithms simultaneously analyze genealogical and structural information to estimate the genetic value of individuals, enablingthe prioritization of crosses with the greatest potential for success acrossdiverse ecosystems. Meanwhile, bioinformatics acts as the engine that processes these massive volumes of data to locate candidate genes, while gene editing makes precise modifications that introduce resilience traits with surgical accuracy. Finally, the resulting germplasm undergoes rigorous molecular validations and local adaptation tests, ensuring that the new cultivars are not only productive but also sustainable and capable of ensuring global food sovereignty.This review builds upon the historical context of plant domestication and evolution, while integrating contemporary advancements in agrobiotechnology, thereby bridging different strands of research to present a cohesive narrative on the future of plant breeding.World Journal of Bioscience and Biotechnology 2026, 2(1):29-42Journal homepage: https://socibiotech.com/journals/wjbbMINIREVIEW ISSN:3061-8185
Translated title of the contributionModern plant breeding tools to obtain new cultivars
Original languageSpanish
Pages (from-to)29-42
Number of pages14
JournalWorld Journal of Bioscience and Biotechnology
Volume2
Issue number1
DOIs
Publication statusPublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Bioinformática
  • cambio climático
  • edición genética
  • genómica
  • fenotipado de alto rendimiento
  • resiliencia

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