Influence of irrigation, planting density and vegetative propagation on yield of rhizomes of starch the arrowroot

Souza, Douglas Correa de; Silva, Luis F.L.; Resende, Luciane Vilela; Costa, Paula Aparecida; Guerra, Thiago Sampaio; Gonçalves, Wilson Magela

doi:10.19084/rca18015

Cited by 11 publications

(9 citation statements)

References 9 publications

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“…In order to evaluate the productivity of stout arrowroots in different phytotechnical conditions, Souza et al (2018), however, propagated by rhizomes-seeds of 30 to 60 g, obtained in the most productive treatments an average of 6.43 (±1.49) t ha -1 of arrowroot starch, similar to the agricultural year 2016/2017 in vegetative propagated material.…”

Section: Resultsmentioning

confidence: 99%

“…The spacing adopted in the experiments was 40 cm between rows and 50 cm between plants, resulting in a density of 50,000 ha -1 plants (Souza et al, 2018). The soil of the experimental area was classified as a Red Dystroferric Latosol and had the following characteristics in the arable layer from 0 to 20 cm: pH (in H 2 O) = 6.1; Al exchangeable = 0.10 cmol dm -3 ; Ca 2+ = 1.80 cmol dm -3 ; Mg 2+ = 0.60 cmol dm -3 ; P-Mehlich = 2.60 mg dm -3 ; K + = 50 mg dm -3 ; Organic matter = 2.61 dag Kg -1 ; V = 54.84%; Sum of bases = 2.53 cmol dm -3 ; CTC = 4.61 cmol dm -3 ; Zn 2+ = 1.22 mg dm -3 ; Fe 2+ = 69.81 mg dm -3 ; Mn 2+ = 17.49 mg dm -3 ; Cu 2+ = 0.64 mg dm -3 ; B = 0.43 mg dm -3 ; S = 6.63 mg dm -3 ; Clay = 36 dag Kg -1 ; Silt = 18 dag Kg -1 ; Sand = 46 dag Kg -1 ; Soil texture = Argilose.…”

Section: Methodsmentioning

confidence: 99%

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Productivity of Rhizomes and Starch Quantification in Cultures of Different Vegetative Propagules of Arrowroot

Souza¹,

Costa²,

Silva³

et al. 2019

JAS

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Arrowroot rhizomes are rich in carbohydrate and are commonly grown by family farmers who have an important source of income in this activity and play a prominent role in the conservation of the species. There are few studies on the phytotechnical aspects of culture. The objective of this work was to evaluate the productive capacity of the ‘common’ arrowroot using different sizes and forms of propagation, aiming at the production of rhizomes and arrowroot starch, in different agricultural crops. The experimental design was the randomized block in a 4 × 2 factorial scheme, with 6 replicates. Four types of rhizome propagation (rhizomes-seeds of small size with a weight of 20 to 30 g; rhizomes-seeds of average weight between 30.01 to 45 g; rhizomes-seeds of large size weighing between 45.01 a 60 g, and seedlings produced in tissue culture), in two agricultural years (2015/2016 and 2016/2017). The variables total production, number of rhizomes, extraction yield and total starch production were evaluated. The type of propagule used interfered in the yield of rhizomes (9.85 to 34.75 t ha-1) and in the production of arrowroot starch (1.76 to 7.68 t ha-1). The vegetative propagation with pieces of rhizomes-seeds between 20 and 60 g was more viable than the micropropagation technique. Although the soil and climate conditions showed differences between the agricultural crops studied, they did not significantly influence the yield of rhizomes and arrowroot starch, by the type of propagule used.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Productivity of Rhizomes and Starch Quantification in Cultures of Different Vegetative Propagules of Arrowroot

Souza¹,

Costa²,

Silva³

et al. 2019

JAS

Self Cite

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“…However, for non-conventional vegetables, this subject is still poorly studied. Thus, in the cultivation of these species, adaptations of the fertilization recommended to conventional vegetables are common, or even the use of fertilization without technical criteria (Souza et al 2018.…”

Section: Palavras-chavementioning

confidence: 99%

Organic fertilization in the production and chemical composition of non-conventional leafy vegetables

Batista

Mantovani

Silva

et al. 2021

Pesqui. Agropecu. Trop.

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Non-conventional leafy vegetables can be a good source of nutrients for the human diet, but there is little information on fertilization for these species. This study aimed to evaluate the effect of organic fertilization with cattle manure on the production and chemical composition of non-conventional leafy vegetables. The experiment was conducted in a greenhouse, in pots. The factors under study were non-conventional leafy species (Rumex acetosa, Stachys byzantina and Lactuca canadensis) and cattle manure doses (0; 5; 10; 15; and 20 t ha-1), arranged in a 3 x 5 factorial scheme, in a randomized block design, with four replications. At harvest, the following parameters were evaluated: stem diameter; total number of leaves; number of leaves with commercial standard; shoot fresh and dry matter; macro and micronutrients concentration and accumulated amounts in the shoot. The fertilization with cattle manure altered the stem diameter, number of leaves with commercial standard, shoot fresh and dry matter, as well as the accumulation of the nutrients N, P, K, Ca, Fe, Mn and Zn in the shoot of the three species studied. The additions obtained varied from 1.1 to 2.1 times, in relation to the treatment without organic fertilization, and the dose equivalent to 20 t ha-1 was the most adequate one. The organic fertilization with cattle manure increases the production and accumulation of nutrients in the non-conventional vegetables evaluated, with R. acetosa presenting a nutrient accumulation higher than S. byzantina and L. canadensis.

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“…Due to the lack of supply in the market, they even became unknown to the younger generations. These species are known in Brazil as nonconventional vegetables (Silva et al., 2018; Souza et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Machine learning in classification and identification of nonconventional vegetables

Ossani

Souza

Rossoni

et al. 2020

Journal of Food Science

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Vegetables are important in economic, social, and nutritional matters in both the Brazilian and international scenes. Hence, some researches have been carried out in order to encourage the production and consumption of different species such as nonconventional vegetables. These vegetables have an added value because of their nutritional quality and nostalgic appeal due to the reintroduction of these species. For this reason, this article proposes the use of the machine learning technique in the construction of models for supervised classification and identification in an experiment with five leafy special of nonconventional vegetables (Tropaeolum majus, Rumex acetosa, Stachys byzantina, Lactuca cf. indica e Pereskia aculeata) assessing the characteristics of the macro and micro nutrients. In order to evaluate the classifiers' performance, the cross-validation procedure via Monte Carlo simulation was considered to confirm the model. In ten replications, the success and error rates were obtained, considering the false positive and false negative rates, sensibility, and accuracy of the classification method. Thus, it was concluded that the use of machine learning is viable because it allows the classification and identification of nonconventional vegetables using few nutritional attributes and obtaining a success rate of over 89% in most of the classifiers tested.

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Influence of irrigation, planting density and vegetative propagation on yield of rhizomes of starch the arrowroot

Cited by 11 publications

References 9 publications

Productivity of Rhizomes and Starch Quantification in Cultures of Different Vegetative Propagules of Arrowroot

Productivity of Rhizomes and Starch Quantification in Cultures of Different Vegetative Propagules of Arrowroot

Organic fertilization in the production and chemical composition of non-conventional leafy vegetables

Machine learning in classification and identification of nonconventional vegetables

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