Dissecting maize matter production variability using a structural model. An original approach to drive maize breeding for cold tolerance - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2007

Dissecting maize matter production variability using a structural model. An original approach to drive maize breeding for cold tolerance

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Food engineering Chemical and Process Engineering Life Sciences [q-bio] Environmental Sciences Vegetal Biology

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Submitted on : Wednesday, June 3, 2020-11:29:34 PM

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hal-02756872 , version 1 (03-06-2020)

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  • HAL Id : hal-02756872 , version 1
  • PRODINRA : 208671

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Gaëtan Louarn, Karine Chenu, Christian Fournier, Bruno Andrieu, Catherine Giauffret. Dissecting maize matter production variability using a structural model. An original approach to drive maize breeding for cold tolerance. 5. International Workshop on Functional-Structural Plant Models, HortResearch Mt Albert. Auckland, NZL., Nov 2007, Napier, New Zealand. ⟨hal-02756872⟩

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