International Biometric Society APPLICATION OF MULTIVARIATE METHODS TO EVALUATE FATTY ACIDS IN SOYBEAN CULTIVARS OLIVEIRA, M.C.N. de1, CARRÃO-PANIZZI, M.C2, MANDARINO, J.M.G1. 1Embrapa Soja, Caixa Postal 231, CEP 86001-970 Londrina-PR, e-mail: mcristina.oliveira@embrapa.br 2Embrapa Trigo, Caixa Postal 451, CEP 99001-970 Abstract – Increased consumption of soyfoods and the world's health problems related to high cholesterol levels, justify surveys to assess levels of fatty acids in soybean grains. Soybean presents high concentration of essential unsaturated acids (oleic, linoleic, and linolenic). In this work, contents of protein, oil and the fatty acids, palmitic (16:0), stearic (18:0), oleic acid (18:1Δ9c), linoleic acid (18:2Δ9c,12c) and α-linolenic acid (18:3Δ9c,12c,15c) were determined in seeds of 235 Brazilian soybean cultivars, which were analysed and classified as high, medium, low and very low content of fatty acid. All these variables were standardized to an average equal to zero and variance equal to one. For this study, it was use, 50 cultivars with high content of fatty acids. To evaluate the seven responses variables, Principal Component Analysis (PCA) method was applied and a linear combination that measures total variation of the variables, Cluster Analysis (CA), biplot graphic, and communality, were considered. Based on a Singular Value Decomposition (SVD), biplot method permits to present in the same graph, response variables and treatments, indicating the contribution of both according to its components. The exploratory analysis do not indicated a normal distribution for the oleic acid and linoleic acid. It was observed a strong negative correlation (-0.95) between oleic and linoleic acids. A negative correlation (-0.48) between protein and oil contents were also observed. Negative correlations among these compounds are common in soybean. The remaining correlations ranged from 0.01 to 0.29. By cluster analysis with the method of k-means, Euclidean distance and complete linkage, allowed the cut off level for the five linkage distance in the dendrogram (Fig. 1). The highest variability was found for protein (SD = 1.15) and for linoleic acid (SD = 1.10). In the Principal Component Analysis (PCA) was considered the first three eigenvalues greater than and equal to 1.0, which totalize 71.53% of the explained variance (PCA1 = 29.06, PCA2 = 23.76 and PCA3 = 18.71%). The highest average communality for these first three components were 0.99 for the oleic acid and 0.91 for the linoleic acid. It was observed that the response variables that most contributed to this study were the contents of protein, oleic acid and linoleic acid. Cultivars that responded for protein were 1 – MSBRS 169, 22- Campos Gerais , 30-IAC 1, 13-CEP 26, 26-FT Líder. For fatty acids the cultivars were 1-MS BRS 169, 2-FT Sarayba, 3-FT Guaira, 4-Ocepar 6, 5-FT Cometa, 6- Ocepar 13 and 7-BR 38. The fatty acids with low contribution were: palmitic acid and linolenic acid (Fig. 2). By using multivariate methods associated with the biplot, it was possible to indicate cultivars with higher levels of protein, oil and fatty acids. 9 8 Complete Linkage Euclidean distances 6 5 4 3 2 1 0 CAMPOS GERAIS IAC 1 J 200 FT 10 SPS 1 IVORA FT 9 DAVIS FT 14 RS 5 BOSSIER IAC 10 MSBR GUAV BR 7 IAS 2 BR 4 FT JATOBA BR 4 CD 203 BRS 158 IAC PL1 DM SOBERANA BRAGG CS 110 IAC 5 EMGOPA 309 FT 20 EMBRAPA 19 KIS 601 BR 2 BR 48 IAS 5 OCEPAR 14 OCEPAR 12 BRS 154 IAC FOSF 31 FT LIDER UNIÃO OCEPAR 2 CEP 26 BR 38 CD 202 OCEPAR 13 EMBRAPA 25 FT COMETA MGBR 54 OCEPAR 6 FT GUAIRA FT SARAYBA MSBRS 169 Linkage Distance 7 G5 G4 G3 G2 G1 Fig. 1. Dendrogram based on the method of complete linkage considering content of protein, oil and fatty acid of 50 soybean cultivars. Fig. 2. Biplot considering different levels of oil, protein, and fatty acids (PCA1 = 29.06, PCA2 =23.76 and PCA3= 18.71 %); on 50 soybean cultivars. International Biometric Conference, Florence, ITALY, 6 – 11 July 2014