Soil Test based Fertilizers Recommendation of NPK for Mulberry (Morus alba L.) Farming in Acid Soils of Lohardaga, Jharkhand, India

Singh, Gyanendra; Ram, Ravinesh; Alam, M. D.; Kumar, Sandeep

doi:10.20546/ijcmas.2016.506.045

Cited by 2 publications

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“…Singh et al [2] proposed Soil Test based Fertilizers Recommendation of NPK for Mulberry Farming in Acid soils of Lohardaga, Jharkhand. Application of NPK macro nutrients among different farmers' field were categorized into farmers existing practices, recommended practices and soil test-based fertilizer application.…”

Section: Literature Surveymentioning

confidence: 99%

Mulberry Leaf Yield Prediction Using Machine Learning Techniques

Srikantaiah¹,

Deeksha²

2021

Atlantis Highlights in Computer Sciences

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Soil nutrients are essential for the growth of healthy crops. India produces a humungous quantity of Mulberry leaves which in turn produces the raw silk. Since the climatic conditions in India is favourable, Mulberry is grown throughout the year. Majority of the farmers hardly pay attention to the nature of soil and abiotic factors due to which leaves become malnutritious and thus when they are consumed by the silkworm, desired quality end-product, raw silk, will not be produced. It is beneficial for the farmers to know the amount of yield that their land can produce so that they can plan in advance. In this paper, different Machine Learning techniques are used in predicting the yield of the Mulberry crops based on the soil parameters. Three advanced machine-learning models are selected and compared, namely, Multiple linear regression, Ridge regression and Random Forest Regression (RF). The experimental results show that Random Forest Regression outperforms other algorithms.

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Section: Literature Surveymentioning

confidence: 99%

Mulberry Leaf Yield Prediction Using Machine Learning Techniques

Srikantaiah¹,

Deeksha²

2021

Atlantis Highlights in Computer Sciences

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“…Moreover, foliar spray of micronutrients has also lead to significant improvement in mulberry productivity in calcareous soils of Bangladesh (Ahmed et al [39]. Several studies suggested balanced fertilization is very effective in improving fertilizer use efficiency as well sustaining crop productivity in various agricultural crops (Lin Bao [40], Sharma and Jain [41], Rene [42], However, most of the research had been focused on N, P & K fertilization only and its response in mulberry (Bose et al [43], Sing et al [44], Mahesh et al [45]). Not much information is available on balanced fertilization in mulberry cultivation especially in West Bengal.…”

Section: Introductionmentioning

confidence: 99%

Balanced Fertilization for Improved Nutrient use Efficiency and Mulberry Productivity

Mahesh

Lalremruati

Chattopadhay

et al. 2021

IJPSS

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Aim: To study the effects of balanced fertilization in improving leaf yield, quality and nutrient use efficiency in mulberry. Study Design: Experiment was conducted in randomized block design (RBD) consisting of 7 treatments in 3 replications. Place and Duration of Study: The present study was conducted at Central Sericultural Research and Training Institute, Berhampore ((Latitude 24º05ʹN & Longitude 88º15ʹE; 18 m > MSL), West Bengal, India in two seasons during 2018 (July-August; September-October). Methodology: Existing S-1635 mulberry plantation (10year-old; 60 cm × 60 cm spacing; net plot area: 32 m2) was utilized. Experiments were conducted in two seasons (July-August, 2018; September-October, 2018) in randomized block design (RBD) consisting of 7 treatments in 3 replications. The treatments in this study included, T1: 100% N-P2O5-K2O+S+Zn with Urea-SSP-10:26:26 + Bentonite Sulphur (8 kg ha-1) + Zinc Sulphate (1 kg ha-1) as BF; T2: 75% BF; T3: 100% N-P2O5-K2O alone (Urea-SSP-10:26:26); T4: 75% N-P2O5-K2O alone (Urea-SSP-10:26:26); T5: 100% N-P2O5-K2O alone (Urea-DAP-MOP); T6: 100% N-P2O5-K2O alone (Urea-SSP-MOP) as farmers′ practice (FP); T7: Nutrients omission plot (Control). The recommended fertilizer dose (100%) for irrigated mulberry production in the Eastern region is N-P2O5-K2O=67-36-22 kg ha-1 crop-1. All the fertilizers were applied in two equal splits on 15th and 30th day after pruning. Results: This study reveals the importance of balanced fertilization of mulberry with N, P, K, S and Zn for sustainable productivity, which is reflected by the maximum values for leaf yield attributes, chlorophyll content and leaf yield. Further, mulberry leaf quality (in terms of total soluble protein and total soluble sugar) significantly improved with balanced fertilization. Higher PFP and AUE were also recorded with fertilization with compound/complex fertilizers than with straight fertilizers; but the balanced fertilization exhibited remarkable enhancement. Conclusion: The results prove that balanced fertilization of N-P2O5-K2O @ 67-36-22 kg ha-1 (Urea-SSP-10:26:26) with Bentonite sulphur (8 kg ha-1) and zinc sulphate (1 kg ha-1) were effective in improving mulberry productivity through enhanced nutrient use efficiency. This could be useful for realizing maximum productivity in mulberry as an efficient nutrient management strategy in mulberry cultivation.

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Soil Test based Fertilizers Recommendation of NPK for Mulberry (Morus alba L.) Farming in Acid Soils of Lohardaga, Jharkhand, India

Cited by 2 publications

References 0 publications

Mulberry Leaf Yield Prediction Using Machine Learning Techniques

Mulberry Leaf Yield Prediction Using Machine Learning Techniques

Balanced Fertilization for Improved Nutrient use Efficiency and Mulberry Productivity

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