Genetic similarity among soybean (Glycine max (L) Merrill) cultivars released in Brazil using AFLP markers

Bonato, A. L. V.; Calvo, Éberson Sanches; Geraldi, Isaias Olívio; Arias, Carlos A.

doi:10.1590/s1415-47572006000400019

Cited by 45 publications

(56 citation statements)

References 36 publications

(49 reference statements)

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“…Bonato et al (2006) observed that the dendrogram obtained with AFLP markers was consistent with the pedigree of soybean genotypes analyzed. Priolli et al (2010) found that the clustering of 168 soybean cultivars obtained by UPGMA method, based on the information of SSR markers, were consistent with ancestors which are common among cultivars within the same group.…”

Section: Diversity Based On Molecular Markerssupporting

confidence: 71%

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Villela¹,

Uneda-Trevisoli²,

Silva³

et al. 2014

Afr. J. Biotechnol.

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The aim of this study was to estimate the genetic diversity in 74 RR soybean cultivars from different Brazilian breeding programs. Analyzes were based on multivariate statistical techniques from phenotypic characteristics and microsatellite molecular markers (SSR). Ten agronomic traits were used in the analysis of the Euclidean distance, Tocher's clustering, UPGMA clustering and principal component analysis. Eighty-six of 100 SSR primer-pairs studied were selected based on their polymorphism information content, and analyzed using Jaccard Coefficient and UPGMA clustering method. The cultivars were clustered into seven groups according to the UPGMA and Tocher's methods, based on agronomic traits, while molecular analysis identified six groups. The phenotypic distances ranged from 0.46 to 9.79 and the dissimilarity measurements, based on SSR molecular markers, ranged from 0.07 to 0.73. Both results from agronomic traits and molecular markers showed that there is genetic variability among the RR cultivars and that the Monsanto breeding program has the most divergent germplasm. The analyzed agronomic traits and the chosen SSR markers were effective in assessing the genetic diversity among genotypes, besides proving to be useful for characterizing genetic variability of soybean germplasm.

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Section: Diversity Based On Molecular Markerssupporting

confidence: 71%

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Villela¹,

Uneda-Trevisoli²,

Silva³

et al. 2014

Afr. J. Biotechnol.

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“…Alongside TGX 1987-10F, TGX 1987-20F and TGX 1910 yield performance were significantly high than the control (Bossier) in all locations. The low yielding ability of Bossier variety was previously reported by Bonato et al (2006). The mean performance of the genotypes across the location revealed that TGX 1908-8F had the highest number of seed per plant (66.11), followed by TGX1954-1F (52.00) and Bossier showed the lowest (41.22).…”

Section: Effects Of Genotypessupporting

confidence: 50%

Effects of genotype on yield and yield component of soybean (Glycine max (L) Merrill)

Liberatus¹,

Musa²,

Richard³

2017

Afr. J. Agric. Res.

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In 2013, the multi-location trial was implemented to evaluate the new soybean genotypes for their agronomic performance against the local check. The experiment was conducted in three locations namely Ilonga, Kibaha, and Mlingano in each location a triplicated trial involving six genotypes of soybeans were implemented. The effects of genotype, location and genotype x environment interaction under combined analysis on agronomic yield, and soybean yield were found significant at P<0.05. The highest mean yield was found from TGX 1954-1Fand TGX 1908-8F in all locations. Correlations coefficient for seed yield revealed a positive and significant association with all agronomic yield except 100 seed weight in all locations. The phenotypic coefficient of variation and genotypic coefficient of variation estimates were significantly high for pods per plants (49.49/27.04), while crude protein had the lowest values (1.45/0.98). The finding also revealed that the differences between phenotypic coefficient of variation (PCV) and genetic coefficient of variation (GCV) were significantly lower for crude protein (0.45), followed by pod length (1.45) and 100 seed weight (2.6). The result suggests that the environment had less effect on the expression of these traits. Therefore, selection based on these traits might increase soybeans performance in all locations. The findings have demonstrated the stability of traits in different locations which is a useful information in soybean breeding programs. TGX 194-1F and TGX 1908-8F were genotypes with high crude protein content, and revealed stable performance across the three environments. TGX 1987-10F, TGX 1987-20F and TGX 1910-14F had better performance compared to Bossier.

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“…Segundo Faria et al (2007) o progresso genético direcionado em qualquer espécie está relacionado à existência de variabilidade genética. A soja é uma cultura que, pelos estudos de grau de parentesco e divergência genética, apresenta alta similaridade entre os cultivares desenvolvidos (BONATO et al, 2006;HYTEN et al, 2006;MIRANDA et al, 2007;WYSMIERSKI;VELLO, 2013).…”

Section: Introductionunclassified

Genetic diversity in advanced soybean strains derived from biparental, four-way and eight-way crosses

Júnior

Unêda-Trevisoli

Espíndola

et al. 2015

Revista Ciência Agronômica

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RESUMO -O objetivo do presente trabalho foi analisar a diversidade genética e o desempenho agronômico de um grupo de linhagens avançadas e superiores de soja, oriundas de cruzamentos biparentais, quádruplos e óctuplos, para identificar futuras combinações superiores e promissoras. O experimento foi conduzido na área experimental da Universidade Estadual Paulista "Júlio de Mesquita Filho", Campus de Jaboticabal, São Paulo. Os caracteres avaliados foram: número de dias para floração, altura da planta na floração, número de dias para maturidade, altura da planta na maturidade, altura de inserção da primeira vagem, número de ramos, número de vagens por planta, valor agronômico, acamamento, peso de cem sementes e produtividade de grãos. Para o cálculo das distâncias fenotípicas foi utilizada a distância generalizada de Mahalanobis e a contribuição relativa de cada caráter. Dentre os genótipos analisados, 19 linhagens obtiveram altos rendimentos, sendo superiores às testemunhas (V-max, CD 216, CD 219 e Conquista). A maior distância encontrada foi entre as linhagens JAB 41 e JAB 17 (279,81), seguidas por JAB 40 e JAB 17 (261,38) e entre JAB 40 e JAB 22 (255,46). Verificou-se a formação de seis grupos pelo agrupamento de Ward, indicando a presença de variabilidade genética entre as linhagens avaliadas. O aumento do número de genitores não foi determinante para o aumento da diversidade genética entre as linhagens, bem como não foi o fator responsável pelo agrupamento ou não dos genótipos avaliados. Palavras-chave:Glycine max. Dissimilaridade. Produtividade. Ward. ABSTRACT -The aim of this study was to analyse the genetic diversity and agronomic performance of a group of advanced and superior strains of soybean, derived from biparental, four-way and eight-way crosses, in order to identify future promising and superior combinations. The experiment was carried out in the experimental area of the Paulista State University, Júlio de Mesquita Filho, Jaboticabal Campus, in the state of São Paulo, Brazil. The characteristics under evaluation were: number of days to flowering, plant height at flowering, number of days to maturity, plant height at maturity, height of the first pod, number of branches, number of pods per plant, agronomic value, lodging, one hundred seed weight and seed yield. , The Mahalanobis distance and the relative contribution of each characteristic were used to calculate the phenotypic distances. Among the genotypes analysed, 19 strains displayed high productivity, being superior to the controls (V-max, CD 216, CD 219 and Conquista). The greatest distance found was between strains JAB 41 and JAB 17 (279.81), followed by JAB 40 and JAB 17 (261.38) and between JAB 40 and JAB 22 (255.46). There were six groups formed using the Ward method, indicating the presence of genetic variability among the tested strains. Increasing the number of parents had no effect on the increase in genetic diversity between the strains, and was not the factor responsible for the grouping or not of the genotypes under test.

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Genetic similarity among soybean (Glycine max (L) Merrill) cultivars released in Brazil using AFLP markers

Cited by 45 publications

References 36 publications

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Effects of genotype on yield and yield component of soybean (Glycine max (L) Merrill)

Genetic diversity in advanced soybean strains derived from biparental, four-way and eight-way crosses

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