scholarly journals Efektivitas Pupuk Organik dan Interval Penyiraman terhadap Pertumbuhan dan Produksi Tomat

2020 ◽  
Vol 4 (1) ◽  
pp. 33
Author(s):  
Riska Nur Fateha ◽  
Bait Ilhaminnur ◽  
Soemarno Soemarno ◽  
Niken Rani Wandansari

<p class="Abstract">This research aimed to determine the effect of various organic fertilizer and watering intervals on plant growth and tomato yield, also soil nutrient content. The method used was factorial completely randomized design with a combination of organic fertilizer types (kaliandra compost, water hyacinth and Mexican sunflower compost, cow manure and straw compost, and vermicompost) and watering intervals (1, 3 and 7 days). Mycorrhizal dose used was 2 grams/plant, while organic fertilizer used was 160 g/plant. The results showed that the interaction between organic fertilizer and watering intervals did not affected significantly on tomato plant height, stem diameter, root length, initial flowering, fruit diameter, number of fruits and fresh fruit weight and soil nutrient content. Watering interval affected significantly to all parameters of the observation. Addition of organic fertilizer can increase soil C-organic content by 6.58% and P-available by 170.51% compared to controls. In general, the highest tomato production was obtained in the combination of treatments water hyacinth and Mexican sunflower compost and watering interval of 1 day, which was 231 g/plant or equivalent 7.22 tons/ha.</p>

2021 ◽  
Vol 9 (5) ◽  
pp. 297-305
Author(s):  
Mochammad Junus ◽  
Hary Nugroho ◽  
Eggipur Pinandita ◽  
Shafa Fa'izah ◽  
Dia Fadilah

The aim of research to determine the effect of sludge that mixed with plant waste and livestock waste on soil nutrient content and Brassica L. performances The research method used was the experiment of adding local microorganism solution (LMS) of banana weevil, coconut fiber ash and eggshell flour into sludge of quail and octopus waste as organic fertilizer with a completely randomized design (CRD) method with 6 treatments and 4 replications The treatments used consisted of P0: sludge 100%; P1 :sludge 50% + LMS 20% + Ash 10% + Eggshell Flour 20%; P2: sludge 50% + LMS 20% + Ash 12.5% ​​+ Eggshell Flour 17.5%; P3: sludge 50% + LMS 20% + Ash 15% + Eggshell Flour 15%; P4: sludge 50% + LMS 20% + Ash 17.5% + Eggshell Flour 12.5% and P5: sludge 50% + LM S 20% + Ash 20% + Eggshell Flour 10%. The result showed that the treatment given had a very significant effect (P &lt;0.01) on the total N content, elements P and K, but the highest average was obtained from P0 (100% sludge), so it can be concluded that   had no effect on nutrient content. The average of total N values ​​ranged from 1.15 ± 0.10 to 2.39 ± 0.40 percent, element P ranges from 2.65 ± 0.19 to 5.28 ± 0.19 percent and element K ranges from 1.08 ± 0.05 to 4.28 ± 0.21 percent. And for Brassica L.   this treatment give a real effect (P &lt;0.01) to the height and weight of a mustard plant wet and did not give an effect (P &lt;0.05) to the number of leaves of mustard plants. The conclusion of this study are the mixed sludge waste had a significant effect on soil nutrient content and on Brassica L. performance.


Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1129
Author(s):  
Yiping Peng ◽  
Lu Wang ◽  
Li Zhao ◽  
Zhenhua Liu ◽  
Chenjie Lin ◽  
...  

Soil nutrients play a vital role in plant growth and thus the rapid acquisition of soil nutrient content is of great significance for agricultural sustainable development. Hyperspectral remote-sensing techniques allow for the quick monitoring of soil nutrients. However, at present, obtaining accurate estimates proves to be difficult due to the weak spectral features of soil nutrients and the low accuracy of soil nutrient estimation models. This study proposed a new method to improve soil nutrient estimation. Firstly, for obtaining characteristic variables, we employed partial least squares regression (PLSR) fit degree to select an optimal screening algorithm from three algorithms (Pearson correlation coefficient, PCC; least absolute shrinkage and selection operator, LASSO; and gradient boosting decision tree, GBDT). Secondly, linear (multi-linear regression, MLR; ridge regression, RR) and nonlinear (support vector machine, SVM; and back propagation neural network with genetic algorithm optimization, GABP) algorithms with 10-fold cross-validation were implemented to determine the most accurate model for estimating soil total nitrogen (TN), total phosphorus (TP), and total potassium (TK) contents. Finally, the new method was used to map the soil TK content at a regional scale using the soil component spectral variables retrieved by the fully constrained least squares (FCLS) method based on an image from the HuanJing-1A Hyperspectral Imager (HJ-1A HSI) of the Conghua District of Guangzhou, China. The results identified the GBDT-GABP was observed as the most accurate estimation method of soil TN ( of 0.69, the root mean square error of cross-validation (RMSECV) of 0.35 g kg−1 and ratio of performance to interquartile range (RPIQ) of 2.03) and TP ( of 0.73, RMSECV of 0.30 g kg−1 and RPIQ = 2.10), and the LASSO-GABP proved to be optimal for soil TK estimations ( of 0.82, RMSECV of 3.39 g kg−1 and RPIQ = 3.57). Additionally, the highly accurate LASSO-GABP-estimated soil TK (R2 = 0.79) reveals the feasibility of the LASSO-GABP method to retrieve soil TK content at the regional scale.


2019 ◽  
Vol 43 ◽  
Author(s):  
Carolina Figueiredo Collela ◽  
Lívia Martinez Abreu Soares Costa ◽  
Tatiana Silveira Junqueira de Moraes ◽  
Diego Cunha Zied ◽  
Danny Lee Rinker ◽  
...  

ABSTRACT The production of Agaricus bisporus results in significant residual material after cultivation. Due to its physical properties and nutrient content Spent Mushroom Substrate (SMS) has great potential for use in agriculture. Our study evaluated the feasibility of using SMS as an alternative substrate for the production of Paronset® hybrid tomato seedlings and as an organic fertilizer in its production. To conduct the fruit production experiment, the plots consisted of three types of fertilizers (SMS of A. bisporus, NPK and bovine manure) with four replications. The seedlings produced in the SMS presented higher rates of germination time and speeds, and stood out from the other substrates in the evaluation of seedling quality. In the tomato fruit production phase, the average production of the plants originating from the SMS was 20% higher than the seedlings from the commercial substrate. The plants cultivated with the SMS presented higher production than the plants cultivated with bovine manure incorporated the soil. According to our results, The SMS was as good as the commercial substrates tested. Therefore, the SMS can be recommended for the growth and nutrition of seedling production and denotes potential viability for use in the tomato production cycle in its different phases.


2020 ◽  
Vol 6 (2) ◽  
pp. 140-148
Author(s):  
Pienyani Rosawanti

Water hyacinth, giant salvinia and water lettuce are widely available in Central Kalimantan that can be used as organic fertilizer. This study aims to determine the nutrient content of solid and liquid organic fertilizers in water hyacinth, giant salvinia and water lettuce fertilizers. The results showed that solid organic fertilizer/compost and water hyacinth, water lettuce and giant salvinia liquid fertilizer have nutrient content needed by plants. In solid fertilizers, the Nitrogen of giant salviniacontent was 2.43% and lack of the minimum standard of solid organic fertilizer, while Phospor and Potassium content were not included in the standard. In liquid organic fertilizer, Nitrogen, Phospor and Potassium content were not included in the minimum standard organic fertilizer requirements


Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 758 ◽  
Author(s):  
Saiyaremu Halifu ◽  
Xun Deng ◽  
Xiaoshuang Song ◽  
Ruiqing Song

Trichoderma spp. are proposed as major plant growth-promoting fungi that widely exist in the natural environment. These strains have the abilities of rapid growth and reproduction and efficient transformation of soil nutrients. Moreover, they can change the plant rhizosphere soil environment and promote plant growth. Pinus sylvestris var. mongolica has the characteristics of strong drought resistance and fast growth and plays an important role in ecological construction and environmental restoration. The effects on the growth of annual seedlings, root structure, rhizosphere soil nutrients, enzyme activity, and fungal community structure of P. sylvestris var. mongolica were studied after inoculation with Trichoderma harzianum E15 and Trichoderma virens ZT05, separately. The results showed that after inoculation with T. harzianum E15 and T. virens ZT05, seedling biomass, root structure index, soil nutrients, and soil enzyme activity were significantly increased compared with the control (p < 0.05). There were significant differences in the effects of T. harzianum E15 and T. virens ZT05 inoculation on the growth and rhizosphere soil nutrient of P. sylvestris var. mongolica (p < 0.05). For the E15 treatment, the seedling height, ground diameter, and total biomass of seedlings were higher than that those of the ZT05 treatment, and the rhizosphere soil nutrient content and enzyme activity of the ZT05 treatment were higher than that of the E15 treatment. The results of alpha and beta diversity analyses showed that the fungi community structure of rhizosphere soil was significantly different (p < 0.05) among the three treatments (inoculated with T. harzianum E15, T. virens ZT05, and not inoculated with Trichoderma). Overall, Trichoderma inoculation was correlated with the change of rhizosphere soil nutrient content.


PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91998 ◽  
Author(s):  
Kadri Koorem ◽  
Antonio Gazol ◽  
Maarja Öpik ◽  
Mari Moora ◽  
Ülle Saks ◽  
...  

Author(s):  
M.R Suja Barathi

Soil nutrient is detected by the use of ISFETs and the corresponding current is obtained from it according to the variation in concentration of the nutrient in soil and their pH. The use of metal oxide coated semiconductors for gas detection is high nowadays. The Ion sensitive field effect transistor has the electrode. This on reaction with the analyst changes its resistance value and corresponding signals are generated and the transducer unit in the sensor gives the varying current output. This could be then processed that is converted to voltage, amplified and then given to a window detector where in the voltage obtained from the sensor could be tested for it be in between two reference voltage levels and these reference voltage levels represent the level of nutrients in the soil either it is deficient, in surplus or in sufficient amounts. This could be used to make the LEDs glow. It proves to be an easy way of observing the soil nutrient content even by an illiterate. The checking of soil nutrient content could be automated and made periodic by the use of microcontroller, the feedback mechanism involving the soil’s nutrient content value as the common input and the ideal or required value as the reference input.


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