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Evaluation of growth components of rubber tree using structural equation modeling (SEM) with longitudinal data

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Evaluation of growth components of rubber

tree using structural equation modeling (SEM)

with longitudinal data

Tassinari, R2,3; Gazaffi, R3;Adriana Cheavegatti-Gianotto; A3, Souza, LM4; Mantello, CC4; Cardoso, SEA5; Garcia, D6;

Le Guen, V6; Souza, AP4; Garcia, AAF3

1Parte da dissertação de mestrado do primeiro autor; 2Mestrando do Programa de Pós-graduação em Genética e

Melhoramento de Plantas – USP/ESALQ. Bolsista CAPES; 3Departamento de Genética e Melhoramento de Plantas, Campus

“Luiz de Queiroz” (USP/ESALQ), Piracicaba-SP, Brasil; 4Centro de Biologia Molecular e Engenharia Genética, UNICAMP,

Campinas-SP, Brasil; 5Laboratório de Pesquisa & Desenvolvimento Plantações Michelin da Bahia, Plantações Michelin da

Bahia LTDA, Igrapiuna-BA, Brasil; 6Agricultural Research for Development, CIRAD, Montpellier, Hérault, França [email protected]

Keywords: Hevea brasiliensis, structural modeling, BLUP, longitudinal data, weather

This work was conducted to evaluate the behavior of different growing rates of Hevea brasiliensis in height and diameter over four subsequent periods with alternating of average temperature and total precipitation. In order, to detect individuals genetically capable of develop in different weather conditions. Genotypic values were predicted by BLUP methodology of growth values for purposes of analyzing correlations between longitunal values, as well as, path analysis and structural equation modeling, to infer aiming the effects of direct and indirect causalities on the total increments values. The experiment was established in a randomized complete block design with four replications, having 272 square plots (270 progenies and 2 parental ) with four clones of each individual. This was done at Edouard Michelin Plantation, which is an area characterized by subtropical climate with periods of drought and low temperature throughout the year. It was found that all components of periodic growth for both traits were positive and significantly correlated with total increments. The correlation values between the heights and diameters in the first two periods suggests that initially these two traits were not directly related, but in the two subsequent periods were obtained positive and significant correlation values, indicating the presence of interaction. The structural model presented adjusted probability of 90.29%. Among the last two periods of growth, the effects of periodic indirect height values showed a negative sign with magnitude more substancial than others, indicating reversal growth capacity of certain individuals in these two periods. Periods of climate with both higher temperature and higher rainfall had great influence in the total increment than periods of drought and cold; nevertheless, such less favorable periods presented individuals with reasonable growth potential, corroborated by significative positive correlations between individuals of these periods, indicating the existence of potential genes for further growth even in less favorable conditions. Only the direct effects were statistically significant. Financial Support: CAPES – Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Resumos do 59o Congresso Brasileiro de Genética • 16 a 19 de setembro de 2013

Hotel Monte Real Resort • Águas de Lindóia • SP • Brasil www.sbg.org.br - ISBN 978-85-89109-06-2

59º C

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resso Br

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