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Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions

Author

Listed:
  • Claude Welcker

    (LEPSE, Univ Montpellier, INRAE, Institut Agro)

  • Nadir Abusamra Spencer

    (LEPSE, Univ Montpellier, INRAE, Institut Agro)

  • Olivier Turc

    (LEPSE, Univ Montpellier, INRAE, Institut Agro)

  • Italo Granato

    (LEPSE, Univ Montpellier, INRAE, Institut Agro)

  • Romain Chapuis

    (DIASCOPE, Université de Montpellier, INRAE, Institut Agro)

  • Delphine Madur

    (Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay)

  • Katia Beauchene

    (ARVALIS, Institut du Vegetal)

  • Brigitte Gouesnard

    (AGAP institut Univ. Montpellier, INRAE, CIRAD, Institut Agro)

  • Xavier Draye

    (Catholic Univ. Louvain, Earth & Life Institute)

  • Carine Palaffre

    (INRAE, Univ Bordeaux)

  • Josiane Lorgeou

    (ARVALIS, Institut du Vegetal)

  • Stephane Melkior

    (RAGT)

  • Colin Guillaume

    (MAS seeds)

  • Thomas Presterl

    (KWS SAAT SE & Co. KGaA)

  • Alain Murigneux

    (Limagrain Europe)

  • Randall J. Wisser

    (LEPSE, Univ Montpellier, INRAE, Institut Agro)

  • Emilie J. Millet

    (Biometris, WUR)

  • Fred Eeuwijk

    (Biometris, WUR)

  • Alain Charcosset

    (Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay)

  • François Tardieu

    (LEPSE, Univ Montpellier, INRAE, Institut Agro)

Abstract

Combined phenomic and genomic approaches are required to evaluate the margin of progress of breeding strategies. Here, we analyze 65 years of genetic progress in maize yield, which was similar (101 kg ha−1 year−1) across most frequent environmental scenarios in the European growing area. Yield gains were linked to physiologically simple traits (plant phenology and architecture) which indirectly affected reproductive development and light interception in all studied environments, marked by significant genomic signatures of selection. Conversely, studied physiological processes involved in stress adaptation remained phenotypically unchanged (e.g. stomatal conductance and growth sensitivity to drought) and showed no signatures of selection. By selecting for yield, breeders indirectly selected traits with stable effects on yield, but not physiological traits whose effects on yield can be positive or negative depending on environmental conditions. Because yield stability under climate change is desirable, novel breeding strategies may be needed for exploiting alleles governing physiological adaptive traits.

Suggested Citation

  • Claude Welcker & Nadir Abusamra Spencer & Olivier Turc & Italo Granato & Romain Chapuis & Delphine Madur & Katia Beauchene & Brigitte Gouesnard & Xavier Draye & Carine Palaffre & Josiane Lorgeou & Ste, 2022. "Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30872-w
    DOI: 10.1038/s41467-022-30872-w
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    References listed on IDEAS

    as
    1. Cecilio F. Caldeira & Linda Jeanguenin & François Chaumont & François Tardieu, 2014. "Circadian rhythms of hydraulic conductance and growth are enhanced by drought and improve plant performance," Nature Communications, Nature, vol. 5(1), pages 1-9, December.
    2. Phipson Belinda & Smyth Gordon K, 2010. "Permutation P-values Should Never Be Zero: Calculating Exact P-values When Permutations Are Randomly Drawn," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-16, October.
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    Cited by:

    1. Senga Kiessé, Tristan & Durrieu, Gilles, 2024. "On a discrete symmetric optimal associated kernel for estimating count data distributions," Statistics & Probability Letters, Elsevier, vol. 208(C).
    2. Jugurta Bouidghaghen & Laurence Moreau & Katia Beauchêne & Romain Chapuis & Nathalie Mangel & Llorenç Cabrera‐Bosquet & Claude Welcker & Matthieu Bogard & François Tardieu, 2023. "Robotized indoor phenotyping allows genomic prediction of adaptive traits in the field," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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