4.7 Review

Quantitative Resistance to Plant Pathogens in Pyramiding Strategies for Durable Crop Protection

Journal

FRONTIERS IN PLANT SCIENCE
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2017.01838

Keywords

quantitative trait loci; major R genes; durability; resistance mechanisms; marker-assisted-selection

Categories

Funding

  1. PeaMUST project (Pea MUlti-STress adaptation and biological regulations for yield improvement and stability) [ANR-11-BTBR-0002]
  2. CTPS from the French Government [C07-01-pomme de terre]
  3. European Network of Excellence ENDURE (European Network for the Durable Exploitation of Crop Protection)
  4. Agence Nationale de la Recherche (ANR) [ANR-11-BTBR-0002] Funding Source: Agence Nationale de la Recherche (ANR)

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Quantitative resistance has gained interest in plant breeding for pathogen control in low-input cropping systems. Although quantitative resistance frequently has only a partial effect and is difficult to select, it is considered more durable than major resistance (R) genes. With the exponential development of molecular markers over the past 20 years, resistance QTL have been more accurately detected and better integrated into breeding strategies for resistant varieties with increased potential for durability. This review summarizes current knowledge on the genetic inheritance, molecular basis, and durability of quantitative resistance. Based on this knowledge, we discuss how strategies that combine major R genes and QTL in crops can maintain the effectiveness of plant resistance to pathogens. Combining resistance QTL with complementary modes of action appears to be an interesting strategy for breeding effective and potentially durable resistance. Combining quantitative resistance with major R genes has proven to be a valuable approach for extending the effectiveness of major genes. In the plant genomics era, improved tools and methods are becoming available to better integrate quantitative resistance into breeding strategies. Nevertheless, optimal combinations of resistance loci will still have to be identified to preserve resistance effectiveness over time for durable crop protection.

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