Desempenho agronômico de cultivares de soja na região central do Estado do Tocantins, safra 2014/2015

Ribeiro, Francisco de Carvalho; Colombo, Gustavo André; Silva, Priscila Oliveira Santana; Silva, José Iran Cardoso da; Erasmo, Eduardo Andrea Lemus; Pelúzio, Joênes Mucci

doi:10.14808/sci.plena.2016.070201

Cited by 8 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Evaluating the agronomic performance of soybean cultivars in the central region of the State of Tocantins, Ribeiro et al (2016) verified two cultivars that presented the highest averages for W100G of 19.88 and 18.58 g. The authors stated that the mass of one hundred grains is a genetically determined attribute but strongly influenced by the environment. Rigon et al (2012) with genetic dissimilarity and pathway analysis of soybean cultivars using quantitative descriptors in Rio Grande do Sul, verified a weight of 100 grains ranging from 13.17 to 22.41 g. These results present values superior to those found in the present study.…”

Section: Resultsmentioning

confidence: 87%

See 1 more Smart Citation

Research Article Genetic parameters and selection of soybean lines based on selection indexes.

Teixeira¹,

Hamawaki²,

Nogueira³

et al. 2017

Genet. Mol. Res.

View full text Add to dashboard Cite

ABSTRACT. Defining selection criteria is important to obtain promising genotypes in a breeding program. The objective of this study was to estimate genetic parameters for agronomic traits and to perform soybean line selection using selection indices. The experiment was conducted at an experimental area located at Capim Branco farm, belonging to the Federal University of Uberlândia. A total of 37 soybean genotypes were evaluated in randomized complete block design with three replicates, in which twelve agronomic traits were evaluated. Analysis of variance, the Scott-Knott test at the 1 and 5% level of probability, and selection index analyses were performed. There was genetic variability for all agronomic traits, with medium to high levels of genotype determination coefficient. Twelve lines with a total cycle up to 110 days were observed and grouped with the cultivars MSOY 6101 and UFUS 7910. Three lines, UFUS FG 03, UFUS FG 20, and UFUS FG 31, were highlighted regarding grain yield with higher values than the national average of 3072 kg/ha. The direct selection

show abstract

Section: Resultsmentioning

confidence: 87%

“…Similar results were found by Rigon et al (2012), which obtained productivity value of up to 3780 kg/ha, and Hamawaki et al (2010) with a production value of up to 4300.3 kg/ ha. In a study by Ribeiro et al (2016), all genotypes presented productivity averages above 3000 kg/ha.…”

Section: Resultsmentioning

confidence: 94%

Research Article Genetic parameters and selection of soybean lines based on selection indexes.

Teixeira¹,

Hamawaki²,

Nogueira³

et al. 2017

Genet. Mol. Res.

View full text Add to dashboard Cite

show abstract

“…No Estado do Tocantins, a soja é a terceira cultura em termos de participação no valor bruto da produção, sendo cultivada no período de entressafra (maio-junho), em condições de várzea irrigada, sob regime de sub-irrigação (elevação do lençol freático), principalmente em Formoso do Araguaia, e no período de safra (novembro-dezembro), em condições de terras altas (MARTINS et al, 2015). Entretanto, no estado há ainda escassez de genótipos desenvolvidos e melhorados "ïn loco", que poderiam resultar em incremento nos atuais índices de produtividade da cultura, que ainda é inferior à média nacional (SANTOS et al, 2013;RIBEIRO et al, 2016).…”

Section: Introductionunclassified

Eficiência ambiental e divergência genética de genótipos de soja na região central do Tocantins

Daronch

Pelúzio

Afférri

et al. 2019

View full text Add to dashboard Cite

Estudos sobre a divergência genética e de eficiência de resposta dos genótipos a diferentes ambientes são úteis em programas de melhoramento. Neste sentido, no ano agrícola 2013/14, foram realizados dois ensaios em Palmas-TO com dezessete genótipos de soja, sendo dez cultivares e sete linhagens. O delineamento experimental utilizado, em cada ensaio, foi de blocos casualizados com dezessete tratamentos e três repetições e as características estudadas foram: número de dias para o florescimento e para a maturação, altura de planta e da inserção da primeira vagem, número de sementes por vagem, número de vagens por planta, massa de cem sementes e produtividade de grãos. A eficiência ambiental foi avaliada através da metodologia adaptada de Fischer (1983) e a divergência genética por meio de procedimentos multivariados: distância generalizada de Mahalanobis e método de agrupamento e otimização de Tocher. Os genótipos CD 2737 RR (0,67) e TMG 1180 RR (0,57) foram os mais eficientes quanto ao estímulo ambiental. O índice de eficiência ambiental foi eficaz na identificação dos genótipos apenas para os ambientes desfavoráveis. As características número de dias para o florescimento (49%) e o número de vagens por planta (26,6%) foram as que mais contribuíram para a dissimilaridade genética. Os cruzamentos mais promissores foram 5X6-3 X TMG 1180 RR; 4X5-2 X TMG 1180 RR e 5X6-1 X TMG 1180 RR.

show abstract

“…Soybean (Glycine max) is the most widely cultivated oilseed in the world and the basis for the food of several peoples, representing an important source of raw material for industry, human and animal nutrition, being one of the most important commodities for generating favorable trade balance (Ribeiro et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Correlations and canonical variables applied to the distinction of soybean cultivars in a tropical environment

Ferreira¹,

Silva²,

Carvalho

et al. 2021

ASB J.

View full text Add to dashboard Cite

The objective of this study was to evaluate the performance of soybean cultivars through their correlations and canonical variables in a tropical environment. The study was conducted in the municipality of Mineiros, GO, Brazil. The soil was classified as Quartzarenic Neosol (Entisol). The experimental design used was in randomized blocks consisting of 10 soybean cultivars (Bônus, Desafio, Flecha, Foco, ICS7019, M5917, M7110, Power, ST721 and ST797) in four replications. Before planting, pre-planting desiccation was performed. The fertilizer used was 450 kg ha-1 of fertilizer 05-25-15 applied in the furrow and in a single dose next to the seeding. During the conduct of the experiment, pest control was carried out respecting good practices and integrated management. At the end of the cycle of each cultivar, 10 plants were collected at random and then the agronomic attributes were taken. The data obtained were submitted to the assumptions of the statistical model, verifying the normality and homogeneity of the residual variances, as well as the additivity of the model. Univariate and multivariate models were used. The analyzes were performed on the Rbio and R interface, in addition to the Software Genes. According to the summary of analysis of variance, it was observed that all cultivars differed for all characteristics. It was concluded that the soybean cultivars Flecha and M5917 presented the highest yields among the others in a tropical environment; the cultivars differed, showing a strong correlation between the number of grains per plant and yield, with the other variables analyzed; the univariate and multivariate tools were efficient and complementary in data analysis.

show abstract

Desempenho agronômico de cultivares de soja na região central do Estado do Tocantins, safra 2014/2015

Cited by 8 publications

References 0 publications

Research Article Genetic parameters and selection of soybean lines based on selection indexes.

Research Article Genetic parameters and selection of soybean lines based on selection indexes.

Eficiência ambiental e divergência genética de genótipos de soja na região central do Tocantins

Correlations and canonical variables applied to the distinction of soybean cultivars in a tropical environment

Contact Info

Product

Resources

About