QTL mapping for yield components and agronomic traits in a Brazilian soybean population

The objective of this work was to map QTL for agronomic traits in a Brazilian soybean population. For this, 207 F_2:3 progenies from the cross CS3035PTA276-1-5-2 x UFVS2012 were genotyped and cultivated in Viçosa-MG, using randomized block design with three replications. QTL detection was carried out by linear regression and composite interval mapping. Thirty molecular markers linked to QTL were detected by linear regression for the total of nine agronomic traits. QTL for SWP (seed weight per plant), W100S (weight of 100 seeds), NPP (number of pods per plant), and NSP (number of seeds per plant) were detected by composite interval mapping. Four QTL with additive effect are promising for marker-assisted selection (MAS). Particularly, the markers Satt155 and Satt300 could be useful in simultaneous selection for greater SWP, NPP, and NSP.

Key words:
Glycine max; yield; quantitative trait locus; microsatellite markers

Authorship

Josiane Isabela da Silva Rodrigues ^**E-mail: josianeisabela@gmail.com

Universidade Federal de Viçosa (UFV), Departamento de Bioquímica e Biologia Molecular, Instituto de Biotecnologia Aplicada à Agropecuária (BIOAGRO), 36.571-000, Viçosa, MG, Brazil. Universidade Federal de ViçosaBrazilViçosa, MG, BrazilUniversidade Federal de Viçosa (UFV), Departamento de Bioquímica e Biologia Molecular, Instituto de Biotecnologia Aplicada à Agropecuária (BIOAGRO), 36.571-000, Viçosa, MG, Brazil.

Fábio Demolinari de Miranda

Universidade Federal do Espírito Santo (UFES), Departamento de Biologia, 29.500-000, Alegre, ES, Brazil Universidade Federal do Espírito SantoBrazilAlegre, ES, BrazilUniversidade Federal do Espírito Santo (UFES), Departamento de Biologia, 29.500-000, Alegre, ES, Brazil

Newton Deniz Piovesan

Adésio Ferreira

UFES, Departamento de Produção Vegetal, 29.500-000, Alegre, ES, Brazil UFESBrazilAlegre, ES, BrazilUFES, Departamento de Produção Vegetal, 29.500-000, Alegre, ES, Brazil

Marcia Flores da Silva Ferreira

Cosme Damião Cruz

UFV, Departamento de Biologia Geral, BIOAGRO Viçosa, MG, Brazil UFVBrazilViçosa, MG, BrazilUFV, Departamento de Biologia Geral, BIOAGRO Viçosa, MG, Brazil

Everaldo Gonçalves de Barros

Universidade Católica de Brasília, Quadra SGAN 916, módulo B, bloco C, sala 213, 70.790-160, Brasília, DF, BrazilUniversidade Católica de BrasíliaBrazilBrasília, DF, BrazilUniversidade Católica de Brasília, Quadra SGAN 916, módulo B, bloco C, sala 213, 70.790-160, Brasília, DF, Brazil

Maurilio Alves Moreira
6 In memoriam

*E-mail: josianeisabela@gmail.com

⁶ In memoriam

SCIMAGO INSTITUTIONS RANKINGS

UFES, Departamento de Produção Vegetal, 29.500-000, Alegre, ES, Brazil UFESBrazilAlegre, ES, BrazilUFES, Departamento de Produção Vegetal, 29.500-000, Alegre, ES, Brazil

UFV, Departamento de Biologia Geral, BIOAGRO Viçosa, MG, Brazil UFVBrazilViçosa, MG, BrazilUFV, Departamento de Biologia Geral, BIOAGRO Viçosa, MG, Brazil

Figures | Tables

Figures (1)
Tables (4)

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Figure 1
Linking Groups from the analysis of the F2 population with 48 microsatellite markers based on the criteria of LODmin = 3.0 and rmax = 0.30.

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Table 1
Analysis of variance, means, coefficients of variation, and genetic parameter for agronomic traits in F₃ generation of the cross between CS3032PTA276-1-5-2 and UFVS2012

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Table 2
Descriptive analysis of the agronomic traits in the F₃ generation, and means of the parents CS3032PTA276-1-5-2 (P1) and UFVS2012 (P2)

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Table 3
QTL analysis by single marker for agronomic traits from an F_2:3 population derivative from a cross between CS3035PTA276-1-5-2 and UFVS2012

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Table 4
QTL analysis by composite interval mapping for agronomic traits from an F_2:3 soybean population

Figure 1 Linking Groups from the analysis of the F2 population with 48 microsatellite markers based on the criteria of LODmin = 3.0 and rmax = 0.30.

Table 1 Analysis of variance, means, coefficients of variation, and genetic parameter for agronomic traits in F₃ generation of the cross between CS3032PTA276-1-5-2 and UFVS2012

*, ** Significant at 5 and 1% probability by the F test; NDF = number of days to flowering; NDM = number of days to maturity; PHM = plant height at maturity; HFP = height of the first pod; NNM = number of nodes at maturity; NPP = number of pods per plant; SWP = seed weight per plant (g); W100S = weight of one hundred seeds (g); and NSP = number of seeds per plant.

Table 2 Descriptive analysis of the agronomic traits in the F₃ generation, and means of the parents CS3032PTA276-1-5-2 (P1) and UFVS2012 (P2)

SD = standard deviation; Min/Max = minimum and maximum value of the trait; NDF = number of days to flowering; NDM = number of days to maturity; PHM = plant height at maturity; HFP = height of the first pod; NNM = number of nodes at maturity; NPP = number of pods per plant; SWP = seed weight per plant (g); W100S = weight of one hundred seeds (g); and NSP = number of seeds per plant.

Table 3 QTL analysis by single marker for agronomic traits from an F_2:3 population derivative from a cross between CS3035PTA276-1-5-2 and UFVS2012

*,** Significant at 5 and 1% probability by the F test, respectively. (2) homozygous for parent P1 CS3035PTA276-1-5-2) (AA), (0) homozygous for the parent P2 (UFVS2012) (aa) and (1) respective heterozygous (Aa). NDF = number of days to flowering; NDM = days to maturity; PHM = plant height at maturity; HFP = height of the first pod; NNM = number of nodes at maturity; NPP = number of pods per plant; SWP = seed weight per plant (g); W100S = weight of one hundred seeds (g); and NSP = number of seeds per plant.

Table 4 QTL analysis by composite interval mapping for agronomic traits from an F_2:3 soybean population

LG = linking group according to Song et al. (2004Song QJ, Marek LF, Shoemaker RC, Lark KG, Concibido VC, Delannay X, Specht JE and Cregan PB (2004) A new integrated genetic linkage map of soybean. Theoretical and Applied Genetics 109: 122-128.); R² = proportion of phenotypic variation explained by the QTL; a = estimated additive effect for the QTL; d = estimated dominance effect for the QTL; *,** LR values that exceed the cut-off critical values at 5% and 1% probability, respectively. Critical LR values were determined by 1000 permutations. SWP = seed weight per plant (g); W100S = weight of one hundred seeds (g); NPP, number of pods per plant; and NSP = number of seeds per plant.

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Crop Breeding and Applied Biotechnology Universidade Federal de Viçosa, Departamento de Fitotecnia, 36570-000 Viçosa - Minas Gerais/Brasil, Tel.: (55 31)3899-2611, Fax: (55 31)3899-2611 - Viçosa - MG - Brazil
E-mail: cbab@ufv.br

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QTL mapping for yield components and agronomic traits in a Brazilian soybean population

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[1] *E-mail: josianeisabela@gmail.com