Épocas de semeadura e desempenho agronômico de cultivares de soja

Meotti, Giovane Vanin; Benin, Giovani; Silva, Raphael Rossi; Beche, Eduardo; Munaro, Lucas Berger

doi:10.1590/s0100-204x2012000100003

Cited by 78 publications

(104 citation statements)

References 23 publications

(28 reference statements)

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“…The photoperiod duration has been related to the length of reproductive development and to the growth rate of soybean (Glycine max) (Kantolic & Slafer, 2007), which is a short day crop as well as chia. Meotti et al (2012) and Jiang et al (2011) reported a decrease in individual mass of seeds with the delay of the sowing date in soybean disagreeing with our results. The mass of one thousand seeds in this work are close to those obtained by Ixtaína et al (2008), which reported a mass of one thousand chia seeds of 1.323 g in a study in Argentina.…”

Section: Resultscontrasting

confidence: 99%

“…Plants sown in at this time were rapidly induced to flowering, had a lower yield in branches and, consequently, a lower number of ears per plant, which contributed to the lower seed yield. This response is typical of a short day plants which, when sown in late dates, are affected by the decrease of the crop cycle in response to the smaller photoperiod, thus reducing the time to produce and translocate photo-assimilates to grains (Jiang et al, 2011;Meotti et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

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Yield and Physical and Physiological Quality of Salvia hispanica L. Seeds Grown at Different Sowing Dates

Goergen¹,

Nunes²,

Lago³

et al. 2018

JAS

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Variations in the sowing date of chia (Salvia hispanica L.) reflect directly on the physiological potential of the produced seeds. This study aimed to analyze the yield and the physical and physiological quality of seeds from the main stem and branches of Salvia hispanica plants grown at different sowing dates. A field experiment was conducted in the crop year of 2016/2017 in five sowing dates (16/09/22, 16/10/28, 17/01/03, 17/02/08 and 17/03/24) in a randomized complete block design with four replicates. Harvest at each sowing date was done when 80% of the leaves of each plant exhibited a darker color, indicating that they were dry. Seed yield was determined in each plant compartment (main stem and branches) and final ear length (cm) and diameter (cm) were also measured at all sowing dates. The following physical and physiological tests were performed to determine seed quality: water content, mass of one thousand seeds, germination test, first count germination, length (root and hypocotyl) and dry matter of the seedlings. Chia can be sown from September to February providing seed yield with high physical and physiological quality. The physical and physiological quality of the chia seeds does not differ between main stem and branches. In late sowing, there is the risk of frost occurrence what may impair the physiological quality and the yield of chia seeds. The best sowing month for obtaining higher yield of chia seeds in a south subtropical region is January.

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Section: Resultscontrasting

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Yield and Physical and Physiological Quality of Salvia hispanica L. Seeds Grown at Different Sowing Dates

Goergen¹,

Nunes²,

Lago³

et al. 2018

JAS

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“…Essa tendência pode ser observada reiteradas vezes em outras pesquisas, o que justifica estudos que identifiquem fatores ambientais específicos envolvidos na manifestação desse tipo de interação. Só assim se poderá mitigar os efeitos indesejáveis dos ambientes e explorar seus efeitos positivos de modo mais eficiente (Yan, 2001;Oliveira et al, 2006;Asfaw et al, 2009;Martins et al, 2012;Meotti et al, 2012 …”

Section: Tabela 4 Autovalores (L Kunclassified

“…Para a soja, em razão das diferenças edafoclimáticas dos ambientes de cultivo e da contínua liberação de cultivares, são necessários estudos regionalizados para que se possa avaliar melhor o efeito da interação genótipo x ambiente (GxE), nas diferentes épocas de semeadura. A espécie é bastante sensível à variação do ambiente (Meotti et al, 2012).…”

Section: Introductionunclassified

“…Essa representação simultânea de cada genótipo e ambiente, além de fornecer informações sobre a estabilidade e a adaptabilidade fenotípica, permite o zoneamento agronômico e a escolha de locais-chave para o processo de avaliação e seleção de cultivares. Em soja, esse tipo de análise vem sendo bastante utilizado (Yan, 2001;Asfaw et al, 2009;Meotti et al, 2012;Martins et al, 2012;Amira et al, 2013).…”

Section: Introductionunclassified

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Análise AMMI da produtividade de grãos em linhagens de soja selecionadas para resistência à ferrugem asiática

Yokomizo¹,

Duarte

Vello

et al. 2013

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi quantificar os efeitos da interação genótipo x ambiente (GxE) sobre a produtividade de grãos em progênies de soja pré-selecionadas para resistência à ferrugem asiática (Phakopsora pachyrhizi). Doze ensaios de avaliação de progênies (linhagens F 6 e F 7 ) foram conduzidos em diferentes ambientes (combinação de locais, anos e tratamentos fungicidas para controle de doenças de final de ciclo, incluindo ou não a ferrugem). A análise "additive main effects and multiplicative interaction" (AMMI) capturou, como padrão da interação GxE, 57% da variação associada aos resíduos de não aditividade, dos quais 44% foram retidos no primeiro componente principal de interação e o restante, no segundo. O primeiro componente associou-se a diferenças entre os anos de avaliação, o que denota imprevisibilidade na predição. O segundo componente, no entanto, associou-se ao manejo diferenciado do cultivo, no que se refere ao controle ou não das doenças. Entre os genótipos de ampla adaptabilidade produtiva, as linhagens USP 02-16.045 e USP 10-10 apresentaram desempenho destacado.Termos para indexação: Glycine max, Phakopsora pachyrhizi, biplot, interação genótipo x ambiente. AMMI analysis of grain yield in soybean lines selected for resistance to Asian rustAbstract -The objective of this work was to quantify the effects of genotype x environment (GxE) interaction on grain yield in soybean progenies pre-selected for resistance to Asian soybean rust (Phakopsora pachyrhizi). Twelve trials evaluating progenies (lines F 6 and F 7 ) were carried out in different environments (combination of locations, years, and fungicide treatments to control late season diseases, including or not rust). Additive main effects and multiplicative interaction (AMMI) analysis captured, as GxE interaction pattern, 57% of the variance associated with the residues of non-additivity, of which 44% were retained in the first principal component of interaction, and the remainder in the second. The first component was associated with the differences between the years of evaluation, which denotes unpredictability. The second component, however, was associated with different crop managements, related to the control or not of the diseases. Among genotypes with wide yield adaptability, the USP 02-16.045 and USP 10-10 lineages stood out.

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Genetic parameters and selection indexes in F2 and F2:3 soybean populations

et al. 2021

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The evaluation of genetic parameters in early generations select individuals in F2 and F2:3 and advancing only progenies with the potential to generate pure productive lines. The objectives of this study were to estimate genetic and phenotypic parameters in F2 and F2:3 populations derived from UFUS 7415 and TMG 7161 RR, evaluate different genotype selection strategies, and select progenies to improve agronomic traits. Populations in the F2 and F2:3 generations derived from a biparental cross between the parents UFUS 7415 and TMG 7161 RR were evaluated. The genetic parameters of 360 individuals in the F2 generation and 150 genotypes of each parent were evaluated. Heritability varied from 4.66% for the number of seeds per pod to 86.06% for plant height at flowering. The greatest selection gain was obtained for plant height at flowering (29.68%), related to grain production. In the F2:3 generation, 145 genotypes were evaluated and their parents, in a randomized block design with two replications. The correlations between characters and the genetic gains obtained by direct and indirect selection and based on the genotype–ideotype distance index and the Mulamba and Mock index of the sum of “ranks” were evaluated. With direct selection, selection gains ranged from –5.34 to 16.19%. The genotype–ideotype distance index showed a total selection gain of 40.49%, while the Mulamba and Mock index of the sum of ranks obtained a total gain of 39.35%. Twenty‐three genotypes were selected for the characters evaluated with both indexes in the F3 generation.

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Épocas de semeadura e desempenho agronômico de cultivares de soja

Cited by 78 publications

References 23 publications

Yield and Physical and Physiological Quality of Salvia hispanica L. Seeds Grown at Different Sowing Dates

Yield and Physical and Physiological Quality of Salvia hispanica L. Seeds Grown at Different Sowing Dates

Análise AMMI da produtividade de grãos em linhagens de soja selecionadas para resistência à ferrugem asiática

Genetic parameters and selection indexes in F2 and F2:3 soybean populations

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