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Published online 20 June 2006
Published in Crop Sci 46:1711-1721 (2006)
© 2006 Crop Science Society of America
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Right arrow Biometrics

A Selection Index Method Based on Eigenanalysis

J. Jesús Cerón-Rojasa, José Crossab,*, Jaime Sahagún-Castellanosc, Fernando Castillo-Gonzálezd and Amalio Santacruz-Varelad

a Colegio de Postgraduados, Km 36.5, Carretera México-Texcoco, Montecillo, Edo. de México, México
b Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, México DF, México
c Universidad Autónoma de Chapingo, CP 56230, Km 38.5, Carretera México-Texcoco, Chapingo, Edo. de México, México
d Colegio de Postgraduados, Km 36.5, Carretera México-Texcoco, Montecillo, Edo. de México, México


Figure 1
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  		Fig. 1. Biplot of the first and second principal component axes (Dimension 1 and Dimension 2) of 144 genotypes (1–144) and the traits eigen selection index (ESIM), germination (ger), number of plants (plt), anthesis date (an), silking date (si), plant height (ph), ear height (eh), moisture (mo), root lodging (rl), stack lodging (sl), % erect plants (pe), foliar disease ratio (fdr), number of plants harvested (phv), number of ears harvested (ehv), field weight (we), % ear rot (ert), ear rot (erot), ear appearance (easp), agronomic scale (ags), and grain yield (yld). Numbers in parenthesis denote the variance explained for each dimension.

 




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