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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

A mixed model QTL analysis for sugarcane multiple-harvest-location trial data

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Autor(es):
Pastina, M. M. [1] ; Malosetti, M. [2] ; Gazaffi, R. [1] ; Mollinari, M. [1] ; Margarido, G. R. A. [1] ; Oliveira, K. M. [3] ; Pinto, L. R. [4] ; Souza, A. P. [5] ; van Eeuwijk, F. A. [2] ; Garcia, A. A. F. [1]
Número total de Autores: 10
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Dept Genet, Escola Super Agr Luiz de Queiroz ESALQ, BR-13400970 Piracicaba, SP - Brazil
[2] Wageningen Univ, NL-6700 AC Wageningen - Netherlands
[3] Ctr Tecnol Canavieira CTC, BR-13400970 Piracicaba, SP - Brazil
[4] Ctr Avancado Pesquisa Tecnol Agronegocio Cana, BR-14001970 Ribeirao Preto, SP - Brazil
[5] Univ Estadual Campinas UNICAMP, CBMEG, Dept Genet & Evolucao, BR-13083875 Campinas, SP - Brazil
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: THEORETICAL AND APPLIED GENETICS; v. 124, n. 5, p. 835-849, MAR 2012.
Citações Web of Science: 36
Resumo

Sugarcane-breeding programs take at least 12 years to develop new commercial cultivars. Molecular markers offer a possibility to study the genetic architecture of quantitative traits in sugarcane, and they may be used in marker-assisted selection to speed up artificial selection. Although the performance of sugarcane progenies in breeding programs are commonly evaluated across a range of locations and harvest years, many of the QTL detection methods ignore two- and three-way interactions between QTL, harvest, and location. In this work, a strategy for QTL detection in multi-harvest-location trial data, based on interval mapping and mixed models, is proposed and applied to map QTL effects on a segregating progeny from a biparental cross of pre-commercial Brazilian cultivars, evaluated at two locations and three consecutive harvest years for cane yield (tonnes per hectare), sugar yield (tonnes per hectare), fiber percent, and sucrose content. In the mixed model, we have included appropriate (co)variance structures for modeling heterogeneity and correlation of genetic effects and non-genetic residual effects. Forty-six QTLs were found: 13 QTLs for cane yield, 14 for sugar yield, 11 for fiber percent, and 8 for sucrose content. In addition, QTL by harvest, QTL by location, and QTL by harvest by location interaction effects were significant for all evaluated traits (30 QTLs showed some interaction, and 16 none). Our results contribute to a better understanding of the genetic architecture of complex traits related to biomass production and sucrose content in sugarcane. (AU)

Processo FAPESP: 08/52197-4 - Genomic-assisted breeding of sugarcane: using molecular markers for understanding the genetic architecture of quantitative traits and to implement marker assisted selection
Beneficiário:Anete Pereira de Souza
Linha de fomento: Auxílio à Pesquisa - Programa BIOEN - Temático
Processo FAPESP: 10/00083-5 - Mapeamento associativo, avaliação do desequilíbrio de ligação e da estrutura populacional em cana-de-açúcar
Beneficiário:Maria Marta Pastina
Linha de fomento: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 08/57908-6 - Instituto Nacional de Biotecnologia para o Bioetanol
Beneficiário:Marcos Silveira Buckeridge
Linha de fomento: Auxílio à Pesquisa - Programa BIOEN - Temático