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Genotype by environment interaction and indirect selection for yield in sunflower: I. Two-mode pattern analysis of oil and biomass yield across environments in Argentina
Affiliation:1. Advanta Semillas S.A.I.C., Ruta Nac. 33 Km 636, CC 294, 2600 Venado Tuerto, Argentina;2. CSIRO Plant Industry, Long Pocket Laboratories, 120 Meiers Rd, Indooroopilly, Qld 4068, Australia;3. IFEVA, Facultad de Agronomı́a, Universidad de Buenos Aires, CONICET, Av. San Martı́n 4453, 1417 Buenos Aires, Argentina;1. Cátedra de Cerealicultura, Departamento de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, C1417DSE Ciudad Autónoma de Buenos Aires, Argentina;2. Instituto de Fisiología y Ecología Vinculado a la Agricultura, Consejo Nacional de Investigaciones Científicas y Técnicas (IFEVA-CONICET), Av. San Martín 4453, C1417DSE Ciudad de Buenos Aires, Argentina;1. UIB-INTA Balcarce - Facultad De Ciencias Agrarias, Universidad Nacional de Mar del Plata, Argentina;2. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), CC 276, 7620 Balcarce, Argentina;1. Unidad integrada INTA Balcarce, Facultad de Ciencias Agrarias, UNMdP, Balcarce, Ruta 266 km 73.5, Buenos Aires, Argentina;2. University of Guelph, Department of Plant Agriculture, 50 Stone Road East, N1G 2W1, Guelph, ON, Canada;3. Monsanto, Pergamino, Argentina;4. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina;1. National Research Council (CONICET), Argentina;2. Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Paraná, Ruta 11, Km. 12.5 (3101), Oro Verde, Entre Ríos, Argentina;3. Facultad de Ciencias Agropecuarias, Universidad Nacional de Entre Ríos, Ruta 11, Km. 10.5 (3101), Oro Verde, Entre Ríos, Argentina;4. Cátedra de Cerealicultura, Departamento de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, C1417DSE Buenos Aires, Argentina;5. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), Departamento de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, C1417DSE Buenos Aires, Argentina;6. Bayer – Crop Science. Market Development LATAM. Head of Corn & Sorghum Market Development Latam. Ruta 8, km 214, Fontezuela, CP2712, Buenos Aires, Argentina;1. Universidad de Buenos Aires, Facultad de Agronomía, Departamento de Producción Vegetal, Cátedra de Cerealicultura and Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA-CONICET), Buenos Aires, Argentina;2. Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Gatton Campus, Gatton Qld, 4343, Australia;3. New South Wales Department of Primary Industries, Tamworth, NSW, 2340, Australia;4. Queensland Department of Agriculture and Fisheries, Emerald, Qld, 4720, Australia;1. IFEVA-Cátedra de Cerealicultura, Facultad de Agronomía, Universidad de Buenos Aires-CONICET, Buenos Aires, Argentina;2. IFEVA-Cátedra de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires-CONICET, Buenos Aires, Argentina;3. AACREA (Argentine Association of Regional Consortiums for Agricultural Experimentation), Argentina
Abstract:A reference set of 10 sunflower hybrids was evaluated in 21 subtropical (northern), temperate (central), and managed environments of Argentina, to identify patterns of genotype-by-environment interaction and opportunities for indirect selection. Pattern analyses showed that the average genotypic discrimination effects of the central and northern regions for oil yield are strongly orthogonal. Photoperiod and minimum temperature would be partially underlying the observed interactions. These patterns are repeatable over seasons, which suggests that central and northern regions are different mega-environments and that selection for specific adaptation to each region would result in a faster genetic progress than selecting for wide adaptation to both regions. Cluster analysis revealed three genotypic groups: northern, central and broadly adapted. All central environments discriminated among genotypes in a similar fashion; discrimination in northern environments was more divergent across years and locations. Late planting dates in a central location associated positively with the northern environments. This represents an opportunity for indirect selection for the northern region from the breeding program headquarters in central Argentina. When photoperiod was extended to 15.5 h in these trials, genotypes exhibited responses similar to those of normal planting dates in central environments, indicating that photoperiod could be a central factor underlying this association. Analysis of specific genotype responses to photoperiod in terms of oil yield showed that these involved traits or processes distinct from time to flowering. Pattern analyses of physiological determinants and components of yield revealed the existence of different specific genotype responses to specific environmental challenges within the same genotype group.
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