Effect of defoliation on production components at different growth stages of
            cowpeas

Smiderle, Oscar José; Lima-Primo, Hyanameyka Evangelista de; Barbosa, Haroldo Duarte; Souza, Aline das Graças

doi:10.5935/1806-6690.20170099

Cited by 5 publications

(4 citation statements)

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“…In contrast, [14] observed that the defoliation of 25% in plants with 10 and 17 days of age did not significantly decrease the production, but in plants with more than 24 days of age the defoliation at all levels reduced the production of the bean. Other authors [4] It has been verified a varied behavior of the bean cultivars against simulated defoliation, as reported by [9], for "Carioca" and "Rosinha", [16], for the cultivar "Pérola", [13], for the cultivar "Capixaba Precoce", [13], for the cultivar "Xamego" and [10] for the cultivar "Caupi". However, no information is available on the levels of leaf area reduction of Goytacazes bean, in relation to the defoliation caused mainly by insect pests, which cause significant losses in grain production in the southern state of Espírito Santo.…”

Section: Introductionmentioning

confidence: 66%

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Artificial Defoliation to Simulate Losses on Production of Bean (Phaseolus vulgaris L. cv. Goytacazes)

Schmildt¹,

Oliveira²,

Pratissoli³

et al. 2019

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The reduction of foliar area can cause yield reduction in common bean crops. The objective of this work was to verify which is the effect of different defoliation levels realized in several development stages of common bean (Phaseolus vulgaris L. cv. Goytacazes) over yield, weight of 100 seeds and number of pods per plant. The experimental design was randomized blocks, in a split-plot arrangement with five replications. The plot corresponded to the five defoliation epochs (first trifoliate leaf, flowering, pods formation, pods filling, and dry pods). In each plot, the split plot was represented by the four defoliation levels (0%, 33%, 67% and 100%). It was observed a decrease of yield for all levels defoliation considering all development stages, except for dried pods. The highest decrease was detected for flowering and pods formation. Through the regression analysis got a greater reduction in yield with 100% defoliation made at 42 days after emergence. The evaluation parameter that showed better relation with yield was a number of pods per plant.

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Section: Introductionmentioning

confidence: 66%

“…Thus, plants subjected to defoliation may have reduced production, mainly due to the decrease in the number of pods [10], in seed mass and grain weight [3] [11], which leads to losses in production from 30% to 90% [5].…”

Section: Introductionmentioning

confidence: 99%

Artificial Defoliation to Simulate Losses on Production of Bean (Phaseolus vulgaris L. cv. Goytacazes)

Schmildt¹,

Oliveira²,

Pratissoli³

et al. 2019

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“…O cerrado de Roraima, apresenta clima tipo Aw tropical chuvoso (Smiderle et al, 2018), com precipitação pluvial média anual de aproximados 1800 mm e concentração de mais de 80% das chuvas entre os meses de abril a setembro e estiagem de até 120 dias (Smiderle et al, 2017a), favorecendo o plantio de soja no estado (Silva et al, 2017).…”

Section: Introductionunclassified

Correlação Entre Componentes De Produção De Soja BRS Tracajá E Diferentes Densidades De Plantas No Cerrado Roraima

Smiderle

Souza

Gianluppi

et al. 2019

RBAS

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A produtividade de uma cultura é definida pela interação entre a planta, o ambiente de produção e o manejo. Objetivou-se determinar as correlações entre os componentes da produção com diferentes densidades de plantas da soja BRS Tracajá. O experimento foi conduzido em delineamento de blocos ao acaso com quatro densidades (8, 10, 12, 14 plantas m-1 linear) e quatro repetições. As parcelas foram constituídas por quatro linhas de cinco metros de comprimento e espaçadas de 0,50 metros. Para avaliação das variáveis propostas coletaram-se as plantas da área útil (duas linhas centrais de 4 m lineares) por parcela. As variáveis avaliadas foram altura da planta, altura de inserção da primeira vagem, diâmetro do caule, número de nós na haste principal, número de vagens total por planta, número médio de grãos por planta, numero de vagens nos últimos 4 nós, número médio de grãos, massa seca de planta, massa seca dos grãos nos últimos 4 nós, massa seca de grãos, total da massa seca de grãos, massa seca da casca nos últimos 4 nós, massa seca da casca, total de massa seca de cascas, índice de colheita aparente, estimativa de produtividade, relação grãos nos últimos 4 nós e total (%), massa de 100 sementes, número total de grãos. Para obter maior produtividade de grãos é indicada a população com 12 plantas m-1 de fileira. A massa de 100 sementes apresenta correlação com coeficiente de 0,8 < r < 1,0 com a massa seca de grão e estimativa de produtividade em diferentes densidades de plantas m-1 linear.

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“…Seed is one of the essential components for agricultural production and its genetic quality associated to the physical, sanitary and physiological conditions, directly influence the production potential of the crop (Oliveira et al, 2016;Smiderle et al, 2017b). Thus, to obtain high crop yields seedling emergence and the number of established seedlings per unit of area must be guaranteed (Rodrigues et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

DISINFECTION OF COWPEA (Vigna unguiculata) SEEDS ON SEEDLINGS DEVELOPMENT

Smiderle,

Neto,

Souza

et al. 2018

Trop Subtrop Agroecosyst

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The fast expansion of annual crops in recent decades with little phytosanitary management has led to the dissemination of several pathogens in the Brazilian cowpea-producing regions. Although, seed treatment is a common practice, there are no registered products for the cowpea and farmers apply the fungicides recommended for soybean cultivation. This study aimed to evaluate the influence of sodium hypochlorite and fungicidal treatments on the germination and initial development of seedlings of five cowpea cultivars under greenhouse conditions. Two experiments were established, one with seeds of five cultivars stored during 120 d, and another with newly collected seeds, disinfected or not with sodium hypochlorite, and treated with five fungicides. Emergence in sand, germination speed, and dry mass of seedlings were evaluated. Germination in sand, germination speed and dry mass of seedlings obtained from seeds of cowpea cultivars were negatively influenced by sodium hypochlorite disinfection. Fungicides used negatively influenced cowpea seed vigor for BRS Cauamé and BRS Novaera, even in the absence of sodium hypochlorite. Seed germination of five cowpea cultivars was not affected by the fungicides fludioxonil, carbendazim, carbendazim + thiram and carboxin + thiram.

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Effect of defoliation on production components at different growth stages of cowpeas

Cited by 5 publications

References 0 publications

Artificial Defoliation to Simulate Losses on Production of Bean (<i>Phaseolus vulgaris</i> L. cv. Goytacazes)

Artificial Defoliation to Simulate Losses on Production of Bean (<i>Phaseolus vulgaris</i> L. cv. Goytacazes)

Correlação Entre Componentes De Produção De Soja BRS Tracajá E Diferentes Densidades De Plantas No Cerrado Roraima

DISINFECTION OF COWPEA (Vigna unguiculata) SEEDS ON SEEDLINGS DEVELOPMENT

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Effect of defoliation on production components at different growth stages of cowpeas

Cited by 5 publications

References 0 publications

Artificial Defoliation to Simulate Losses on Production of Bean (&lt;i&gt;Phaseolus vulgaris&lt;/i&gt; L. cv. Goytacazes)

Artificial Defoliation to Simulate Losses on Production of Bean (&lt;i&gt;Phaseolus vulgaris&lt;/i&gt; L. cv. Goytacazes)

Correlação Entre Componentes De Produção De Soja BRS Tracajá E Diferentes Densidades De Plantas No Cerrado Roraima

DISINFECTION OF COWPEA (Vigna unguiculata) SEEDS ON SEEDLINGS DEVELOPMENT

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Artificial Defoliation to Simulate Losses on Production of Bean (<i>Phaseolus vulgaris</i> L. cv. Goytacazes)

Artificial Defoliation to Simulate Losses on Production of Bean (<i>Phaseolus vulgaris</i> L. cv. Goytacazes)