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Maize Open-Pollinated Populations Physiological Improvement: Validating Tools for Drought Response Participatory Selection

Author

Listed:
  • Susana T. Leitão

    (Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal)

  • Emanuel Ferreira

    (Escola Superior Agrária de Coimbra, Instituto Politécnico de Coimbra, 3045-601 Coimbra, Portugal)

  • M. Catarina Bicho

    (Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal
    Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal)

  • Mara L. Alves

    (Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal)

  • Duarte Pintado

    (Escola Superior Agrária de Coimbra, Instituto Politécnico de Coimbra, 3045-601 Coimbra, Portugal)

  • Daniela Santos

    (Escola Superior Agrária de Coimbra, Instituto Politécnico de Coimbra, 3045-601 Coimbra, Portugal)

  • Pedro Mendes-Moreira

    (Escola Superior Agrária de Coimbra, Instituto Politécnico de Coimbra, 3045-601 Coimbra, Portugal)

  • Susana S. Araújo

    (Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal)

  • J. Miguel Costa

    (LEAF, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal)

  • Maria Carlota Vaz Patto

    (Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal)

Abstract

Participatory selection—exploiting specific adaptation traits to target environments—helps to guarantees yield stability in a changing climate, in particular under low-input or organic production. The purpose of the present study was to identify reliable, low-cost, fast and easy-to-use tools to complement traditional selection for an effective participatory improvement of maize populations for drought resistance/tolerance. The morphological and eco-physiological responses to progressive water deprivation of four maize open-pollinated populations were assessed in both controlled and field conditions. Thermography and Chl a fluorescence, validated by gas exchange indicated that the best performing populations under water-deficit conditions were ‘Fandango’ and to a less extent ‘Pigarro’ (both from participatory breeding). These populations showed high yield potential under optimal and reduced watering. Under moderate water stress, ‘Bilhó’, originating from an altitude of 800 m, is one of the most resilient populations. The experiments under chamber conditions confirmed the existence of genetic variability within ‘Pigarro’ and ‘Fandango’ for drought response relevant for future populations breeding. Based on the easiness to score and population discriminatory power, the performance index (PI ABS ) emerges as an integrative phenotyping tool to use as a refinement of the common participatory maize selection especially under moderate water deprivation.

Suggested Citation

  • Susana T. Leitão & Emanuel Ferreira & M. Catarina Bicho & Mara L. Alves & Duarte Pintado & Daniela Santos & Pedro Mendes-Moreira & Susana S. Araújo & J. Miguel Costa & Maria Carlota Vaz Patto, 2019. "Maize Open-Pollinated Populations Physiological Improvement: Validating Tools for Drought Response Participatory Selection," Sustainability, MDPI, vol. 11(21), pages 1-35, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6081-:d:282476
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    References listed on IDEAS

    as
    1. Costa, J.M. & Egipto, R. & Sánchez-Virosta, A. & Lopes, C.M. & Chaves, M.M., 2019. "Canopy and soil thermal patterns to support water and heat stress management in vineyards," Agricultural Water Management, Elsevier, vol. 216(C), pages 484-496.
    2. Robert Mangani & Eyob Habte Tesfamariam & Gianni Bellocchi & Abubeker Hassen, 2018. "Growth, Development, Leaf Gaseous Exchange, and Grain Yield Response of Maize Cultivars to Drought and Flooding Stress," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    3. Hao Guo & Xingming Zhang & Fang Lian & Yuan Gao & Degen Lin & Jing’ai Wang, 2016. "Drought Risk Assessment Based on Vulnerability Surfaces: A Case Study of Maize," Sustainability, MDPI, vol. 8(8), pages 1-22, August.
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