Integrated nutrient management for okra in an inceptisol of eastern India and yield modeling through artificial neural network

Phonglosa, Amit; Bhattacharyya, Kallol; Ray, Krishnendu; Mandal, Jajati; Pari, Arnab; Banerjee, Hirak; Chattopadhyay, Arup

doi:10.1016/j.scienta.2015.02.037

Cited by 14 publications

(7 citation statements)

References 9 publications

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“…The increase in available NPK indicated that nitrogen, phosphorus and potassium present in the Vermicompost was available to the crop and the application of FYM, inorganic fertilizers and Vermicompost would have increased the available NPK content in soil. Similar results were obtained in okra by Barani and Anburani (2004), Phonglosa et al, (2015) and Kumar et al, (2017).…”

Section: Residual Npk Status Of Soil (Kg/ha) and Nutrient Balancesupporting

confidence: 88%

“…Besides the beneficial effect of fertilizers, the added organic manures improved the soil physical, chemical and biological properties which are a well-known fact, thus, it helped in better nutrient absorption by plants resulting in higher fruit yield. Bahadur and Manohar ( 2001), Phonglosa et al, (2015) and Sachan et al, (2017) in okra also established such beneficial effect of integrating organic and inorganic fertilizers + Azospirillum. Though numerically higher fruit yield was observed in either Vermicompost or FYM or Azospirillum alone, it was comparable to control.…”

Section: Yieldmentioning

confidence: 92%

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Growth, Productivity and Quality of Okra (Abelmoschus esculentus L.) cv. Prabhani Kranti and Nutrient Balance in Soil under Chemical Fertilizers, Organic Manures and Biofertilizers in Sub-Tropical Condition

Anal¹,

Luikham²,

Munsi³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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Section: Residual Npk Status Of Soil (Kg/ha) and Nutrient Balancesupporting

confidence: 88%

Section: Yieldmentioning

confidence: 92%

Growth, Productivity and Quality of Okra (Abelmoschus esculentus L.) cv. Prabhani Kranti and Nutrient Balance in Soil under Chemical Fertilizers, Organic Manures and Biofertilizers in Sub-Tropical Condition

Anal¹,

Luikham²,

Munsi³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…In general, these studies were conducted in soils with low contents of nutrients, which would be more responsible to fertilization than that of the present study. Phonglosa et al (2015) observed that okra yield, absorption of macro-and micronutrients by okra pods and available nutrient status in post-harvest soil increased significantly when mineral fertilization with N and P was supplemented with organic fertilizers.…”

Section: Resultsmentioning

confidence: 98%

Production and quality of okra produced with mineral and organic fertilization

Santos

Pereira

Medeiros

et al. 2019

Rev. bras. eng. agríc. ambient.

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Okra, Abelmoschus esculentus (L.) Moench, is a vegetable with annual fruit native to hot regions of Africa, well adapted to the conditions of the Northeast and Southeast regions of Brazil, where it is widely used by small farmers. This study aimed to evaluate the effect of mineral and organic fertilization on the production and quality of okra fruits. The experiment was conducted in randomized block design, with three replicates and eleven treatments defined according to a Baconian matrix. Treatments consisted of doses of N (0, 100, 200 and 300 kg ha-1), P (0, 100, 200 and 300 kg ha-1) and K (0, 80, 160 and 240 kg ha-1), as well as absence and presence of organic compost (30 t ha-1). The following parameters were evaluated: plant height, stem diameter, number of leaves, production of fruits plant-1, number of fruits plant-1, fruit length and diameter and fruit quality (pH, soluble solids, titratable acidity, vitamin C and electrical conductivity). The crop is demanding in terms of K and N fertilizations, with increments of 15.8 and 36% in the mean number and diameter of fruits, respectively. Organic fertilization did not influence the vegetative growth of okra, but was beneficial to the production of fruits with higher vitamin C content, 52% higher than the contents found in fruits produced without such input.

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“…To indicate the prediction error and objectively evaluate the best network created, the statistical indices of Phonglosa et al (2015) were used. The importance of independent variables was determined to estimate the sensitivity of each predictor in determining the neural network.…”

Section: Crop Managementmentioning

confidence: 99%

Weed management through herbicide application in direct-seeded rice and yield modeling by artificial neural network

Ghosh

Ray

Das

2016

Span. j. agric. res.

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In direct seeded rice (DSR) cultivation, weed is the major constraint mainly due to absence of puddling in field. The yield loss due to weed interference is huge, may be up to 100%. In this perspective, the present experiment was conducted to study the efficacy of selected herbicides, and to predict the rice yield using artificial neural network (ANN) models. The dry weight and density of weeds were recorded at different growth stages and consequently herbicidal efficacy was evaluated. Experimental results revealed that pre-emergence (PRE) herbicide effectively controlled the germination of grassy weeds. Application bispyribac-sodium as post-emergence (POST) following PRE herbicides (clomazone or pendimethalin) or as tank-mixture with clomazone effectively reduced the density and biomass accumulation of diverse weed flora in DSR. Herbicidal treatments improved the plant height, yield attributes and grain yield (2.7 to 5.5 times) over weedy check. The sensitivity of the best ANN model clearly depicts that the weed control index (WCI) of herbicides was most important than their weed control efficiency (WCE). Besides, the early control of weeds is a better prescription to improve rice yield. Differences in sensitivity values of WCI and WCE across the crop growth stages also suggest that at 15, 30 and 60 days after sowing, herbicides most effectively controlled sedges, broad leaves and grasses, respectively. Based on the grain yield and herbicidal WCE, it can be concluded that the combined application of pendimethalin or clomazone as PRE followed by bispyribac-sodium as POST or tank-mixture of clomazone + bispyribac sodium can effectively control different weed flushes throughout the crop growth period in DSR.

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Integrated nutrient management for okra in an inceptisol of eastern India and yield modeling through artificial neural network

Cited by 14 publications

References 9 publications

Growth, Productivity and Quality of Okra (Abelmoschus esculentus L.) cv. Prabhani Kranti and Nutrient Balance in Soil under Chemical Fertilizers, Organic Manures and Biofertilizers in Sub-Tropical Condition

Growth, Productivity and Quality of Okra (Abelmoschus esculentus L.) cv. Prabhani Kranti and Nutrient Balance in Soil under Chemical Fertilizers, Organic Manures and Biofertilizers in Sub-Tropical Condition

Production and quality of okra produced with mineral and organic fertilization

Weed management through herbicide application in direct-seeded rice and yield modeling by artificial neural network

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