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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Multi-trait multi-environment quantitative trait loci mapping for a sugarcane commercial cross provides insights on the inheritance of important traits

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Author(s):
Margarido, G. R. A. [1] ; Pastina, M. M. [2] ; Souza, A. P. [3] ; Garcia, A. A. F. [1]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, ESALQ, Dept Genet, BR-13418900 Piracicaba, SP - Brazil
[2] Embrapa Milho & Sorgo, BR-35701970 Sete Lagoas, MG - Brazil
[3] Univ Estadual Campinas UNICAMP, Dept Genet & Evolucao, CBMEG, BR-13083875 Campinas, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: MOLECULAR BREEDING; v. 35, n. 8 AUG 2015.
Web of Science Citations: 3
Abstract

Breeding trials typically consist of phenotypic observations for various traits evaluated in multiple environments. For sugarcane in particular, repeated measures are obtained for plant crop and one or more ratoons, such that joint analysis through mixed models for modeling heterogeneous genetic (co) variances between traits, locations and harvests is appropriate. This modeling approach also enables us to include molecular marker information, aiding in understanding the genetic architecture of quantitative traits. Our work aims at detecting QTL and QTL by environment interactions by fitting mixed models with multiple QTLs, with appropriate modeling of multitrait multi-environment data for outcrossing species. We evaluated 100 individuals from a biparental cross at two locations and three years for fiber content, sugar content (POL) and tonnes of cane per hectare (TCH). We detected 13 QTLs exhibiting QTL by location, QTL by harvest or the three-way interaction. Overall, 11 of the 13 effects presented some degree of pleiotropy, affecting at least two traits. Furthermore, these QTLs always affected fiber and TCH in the same direction, whereas POL was affected in the opposite way. There was no evidence in favor of the linked QTL over the pleiotropic QTL hypothesis for any detected genome position. These results provide valuable insights into the genetic basis of quantitative variation in sugarcane and the genetic relation between traits. (AU)

FAPESP's process: 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
Grantee:Anete Pereira de Souza
Support Opportunities: Program for Research on Bioenergy (BIOEN) - Thematic Grants