Maize open-pollinated populations physiological improvement: validating tools for drought response participatory selection

• Autor(a) principal: Leitão, Susana T.
• Data de Publicação: 2019
• Outros Autores: Ferreira, Emanuel, Bicho, M.Catarina, Alves, Mara L., Pintado, Duarte, Santos, Daniela, Mendes-Moreira, Pedro, Araújo, Susana S., Costa, José Miguel, Patto, Maria Carlota Vaz
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.5/18816
• topic: Chl a fluorescence; field phenotyping; leaf gas exchange; open-pollinated populations; participatory plant breeding; performance index; water deficit; Zea mays

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 e ective 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 (PIABS) emerges as an integrative phenotyping tool to use as a refinement of the common participatory maize selection especially under moderate water deprivation