Cluster analysis to select peanut drought tolerance lines.

• Autor(a) principal: PEREIRA, J. W. DE L.
• Data de Publicação: 2015
• Outros Autores: SILVA, E. C. A. DA, NOGUEIRA, R. J. M. C., MELO FILHO, P. DE A., LIMA, L. M. de, SANTOS, R. C. dos
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1041633
• topic: Peanut; Molecular maker; Antioxidative enzyme; Arachis hypogaea; Marcador molecular

The breeding programs focused on semiarid environments significantly invest on selection of early-mature genotypes with the ability to maintain yield at reasonable levels, when drought sets in. The fastigiata peanut genotypes have broad physiological adaptation to environments prone to drought, while subsp. hypogaea are less tolerant, but are excellent to pod yield. The combination of these intraspecific materials via hybridization often provides robust descendants to breeding works focusing on yield and drought tolerance. In this work we adopted a clustering method to assist in the selection procedures of intraspecific peanut elite lines, based on molecular tools and physiological, biochemical and agronomic traits. Initially, fourteen intraspecific top lines (F7) were used to identify drought tolerant materials based on SSR markers. Thereafter, the selected lines were submitted to 10 days (d) of water stress and analyzed by physiological (stomata conductance, transpiration and photosynthesis) and biochemical (organic solutes and antioxidative enzymes) traits. These data were used to identify lines tolerant to water stress, based on Canonical variable analysis. Additionally, these same lines were used in validation assays during two year experiments, under irrigated and rainfed conditions. We found that all selected top lines showed osmotic adjustment and antioxidant satisfactory front of disturbances caused by water stress. However, based on the clustering analysis the top line L46 was more suitable for semiarid environment, due to agronomic similarity with drought tolerant-BR 1.