Periods of Weed Interference on Orange Tree Crops

Gonçalves, Gerlândio Suassuna; Carvalho, J. E. B. de; Garcia, Marcos Valério; Gama, Lorena; Azevedo, C. L. L.; Silva, J.F.

doi:10.1590/s0100-83582018360100080

Cited by 4 publications

(7 citation statements)

References 22 publications

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“…Characteristics such as the number of fruits per plant (NFP) and yield per plant (YPP) were positively correlated with total fruit yield (Y) (Gonçalves et al, 2018). However, the annual reduction in NFP and TFY favored an increase in fruit mass (FM) and longitudinal fruit diameter (LFD), which was significantly higher in 2012 (Table 1).…”

Section: Resultsmentioning

confidence: 99%

Fruit production and quality of sweet orange genotypes selected for the state of Acre, Brazil

Brito

Andrade

Neto

2021

Agraria

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The Acre State, Brazil, has edaphoclimatic conditions suitable for the cultivation of sweet orange trees; however, production is limited by the lack of genotypes adapted to the region. The aim of this study was to evaluate the production and quality of sweet orange fruits grafted onto 'Rangpur' lime, in order to identify promising genotypes that could be used as a cultivar. The experiment was carried out between 2010 and 2012 in the experimental field of Embrapa, AC, Brazil, in a randomized block design, with 19 genotypes and local Aquiri cultivar. These were propagated by budding, originated from matrices propagated by seeds, and were selected from nine municipalities of Acre, Brazil. A total of 20 treatments with three replications were used in this study. The number of fruits per plant, production per plant, productivity, and fruit quality (fruit mass, longitudinal and transversal fruit diameter, peel thickness, juice yield, soluble solids, titratable acidity, quotient between soluble solids and titratable (ratio), and technological index) were evaluated. Joint analysis of variance and Scott-Knott tests were performed to compare means, as well as Pearson's correlation and cluster tests, using the Ward method and Mahalanobis distance. The sweet orange genotypes 6, 8, 9, 52, and Aquiri cultivar presented the best productivity indicators, with average values above the national productivity. The isolated effect of the year factor showed a greater number of fruits, production per plant, and productivity in the 2010 harvest.

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Section: Resultsmentioning

confidence: 99%

Fruit production and quality of sweet orange genotypes selected for the state of Acre, Brazil

Brito

Andrade

Neto

2021

Agraria

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“…In recent surveys on critical period of weed interference in orange tree and guarana crops conducted in Amazonas State, there was a loss of productivity compared to control of 34% for orange (Gonçalves et al, 2018) and 65% for guarana (Soares et al, 2019).…”

Section: Productivity and Periods Of Interference Of Weed Plantsmentioning

confidence: 99%

“…Table 5. Periods prior to interference -Périodes précédant l'interférence (Itacoatiara, AM, 2016-2018. [2016][2017][2018].…”

Section: Productivity and Periods Of Interference Of Weed Plantsunclassified

“…Determined parameters of Boltzmann' sigmoidal equation and linear equation fit in the pineapple crop productivity data as a function of the control periods and coexistence with weeds -Détermination des paramètres de l'équation sigmoïde de Boltzmann et de l'ajustement de l'équation linéaire dans les données de productivité de la culture de l'ananas en fonction des périodes de contrôle et de la coexistence avec les mauvaises herbes(Itacoatiara, AM, 2016-2018.…”

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Critical period of weeds interference in pineapple (Ananas comosus [L.] Merr.) crops

Oliveira¹,

Santos²,

Leite³

et al. 2021

Biotechnol. Agron. Soc. Environ.

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Description of the subject. In crop-weed competition, some periods are critical because they may interfere with the crop production capacity. Therefore, knowing these periods is crucial when deciding on the best time for control and preparation of the Integrated Management Program. Objectives. To determine the Period Prior to Interference, Total Period for Interference Prevention, and the Critical Interference Period in pineapple cultivation. Method. The experimental design consisted of randomized blocks in 2 x 15 factorial arrangement, four replications, and two management systems: weeds control and crop-weeds coexistence; 15 increasing periods of 30 days each after planting: 0, 30, 60, 90, 120, 150, 180, 210, 240, 270, 300, 330, 360, 390, 420. In the control treatments, since planting, manual weeding (with hoe) and mechanical weeding (with brush cutter) were done during increasing periods of time, and in the coexistence treatments, the weeds lived together with pineapple plants and, at the end of each period, weeds control was made with mechanical and chemical weeding. Results. The best yields were achieved in the periods of less coexistence with weeds. The critical periods for interference prevention with 5 and 10% of yield losses were 259 and 204 days, respectively. Conclusions. The critical period for interference prevention lasted 14-259 days after planting of the pineapple offsets.

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“…The Brazilian citrus production represents one of the most important agribusiness production chains in the country, as besides being profitable, it generates jobs, increases capital circulation, and favors regional development (Zulian et al, 2013). However, one of the critical and relevant points in the production process is the negative interference exerted by weeds in the crop (Gonçalves et al, 2018). Weeds can compete with citrus plants, including orange trees, for water, light, and nutrients, and when one of these factors is limiting to the plants, there is less vegetative development, lower yield and production of low-quality fruit (Bortolazzo, 2002;Carvalho et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Integrated methods for weed control in the 'Natal' orange tree

Real¹,

Neto²,

Favaro³

et al. 2021

Científica

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One of the main critical points in the production process of orange trees is the negative interference imposed by weeds. Considering the relevance of this factor, this study aims to evaluate integrated methods for weed control on the yield of orange (Citrus sinensis L.), cv. 'Natal'. A field experiment was carried out in a randomized block design with the following nine treatments: manual weeding of the area associated with maintenance with herbicide; herbicide application in the total area; herbicide application in the total area followed by sowing of jack bean (Canavalia ensiformis L.) between the rows; herbicide application in the total area followed by sowing of the legume in the total area; herbicide application between the rows only in the free space between canopies; herbicide application in the row; herbicide application in the canopy projection; herbicide application in the total area except for the canopy projection; besides a control treatment, without weeding. The herbicide used was glyphosate, always applied at a dose of 1,080 g ha -1 . Among the studied managements, it can be concluded that the manual weeding of the area associated with maintenance with glyphosate (1,080 g ha -1 ); glyphosate application in the total area; glyphosate application in the total area followed by sowing of jack bean between the rows; glyphosate application in the total area followed by sowing of jack beans in the total area; and glyphosate application in the canopy projection resulted in the same yield as the traditional management adopted by the farmer, which consists of glyphosate application in the row. On the other hand, glyphosate application in the total area except for the canopy projection and glyphosate application between the rows only in the free space between canopies were not good weed control methods, resulting in lower yield, whose value was similar to that of the control without weeding (in the bush).

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Periods of Weed Interference on Orange Tree Crops

Cited by 4 publications

References 22 publications

Fruit production and quality of sweet orange genotypes selected for the state of Acre, Brazil

Fruit production and quality of sweet orange genotypes selected for the state of Acre, Brazil

Critical period of weeds interference in pineapple (Ananas comosus [L.] Merr.) crops

Integrated methods for weed control in the 'Natal' orange tree

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