Validation of Soil Test and Yield Target Based Fertiliser Prescription Model for Hybrid Maize on Vertisol

Suresh, R.; Santhi, R.

doi:10.20546/ijcmas.2018.709.261

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…An estimate from these data showed that when NPK alone was applied with the soil test value of 180:34:250 Kg ha -1 of KMnO 4 -N, Olsen P and NH 4 OAc-K, respectively, the fertilizer dose required was 88:53:54 Kg ha -1 of N, The percent fertilizer reduction due to IPNS over NPK alone increases with an increase in soil nutrient status and decreases with an increase in targeted yield. This decrement may be due to the maintenance of soil fertility by supplying nutrients for a long time and creating favorable soil physical, chemical and biological properties as reported by Suresh and Santhi (2018) for Maize in vertisols of the southern region in TamilNadu. Adekiya et al (2020) also had the opinion that organic manures also contain both micro and macronutrients, unlike NPK fertilizer that contains only N, P and K. The quality of vegetables can be provoked by integrated nutrient management.…”

Section: Soil Test Based Fertilizer Prescriptionsmentioning

confidence: 91%

Development of soil test crop response based fertilizer prescriptions through integrated plant nutrition system for aggregatum onion (Allium cepa L.) under drip fertigation

Sugumari

Maragatham

Santhi

et al. 2021

JANS

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An insight into the balanced crop nutrition and efficient irrigation will be rewarding to attain profitable bulb yield of shallow-rooted and high nutrient requiring aggregatum onion. To develop fertilizer prescription equations(FPEs) for aggregatum onion under drip fertigation by encompassing the Soil Test Crop Response approach (STCR), a field experiment was conducted in Palaviduthi soil series with 15 treatments viz., Absolute control (T1), Blanket recommendation (60:60:30) + Farm Yard Manure (FYM) @ 12.5 t ha-1(T2), STCR based NPK fertilizer recommendation (STCR-NPK) for the targeted yield of 14 (T3),15 (T4),16 t ha-1 (T5), FYM @ 6.25 (T6), 12.5 t ha-1 (T7), STCR–NPK+FYM @ 12.5 t ha-1 for the targeted yield of 14 (T8),15 (T9),16 t ha-1 (T10), Biocompost @ 2.5 (T11), 5 t ha-1 (T12) and STCR–NPK+Biocompost @ 5 t ha-1 for the targeted yield of 14 (T13),15 (T14),16 t ha-1 (T15). The results revealed that T10 was more supercilious than others. The basic parameters were deliberated from the experimental data on total nutrient uptake, initial soil fertility status, applied fertilizer doses. The aggregatum onion (variety CO 4) required 0.43, 0.32, 0.45 Kg of N, P2O5, K2O to produce one quintal of bulb yield. The percent contribution of nutrients from soil and fertilizer was 14.01, 54.57 for N, 35.11,50.50 for P2O5 and 12.69, 70.12 for K2O, respectively. The contribution of N, P2O5, K2O from FYM and biocompost were 41.02, 16.23, 41.53 and 47.98, 15.87, 49.56 percent sequentially. Based on the above parameters, the fertilizer prescription equations were formulated for aggregatum onion under drip fertigation in Palaviduthi soil series.

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Section: Soil Test Based Fertilizer Prescriptionsmentioning

confidence: 91%

Development of soil test crop response based fertilizer prescriptions through integrated plant nutrition system for aggregatum onion (Allium cepa L.) under drip fertigation

Sugumari

Maragatham

Santhi

et al. 2021

JANS

Self Cite

View full text Add to dashboard Cite

show abstract

“…(2020); Giri et al (2015); Suresh and Santhi (2018); Shreenivas et al (2017) who reported the highest grain yield in maize with the STCR based fertilizer recommendation compared to farmer fertilizer practices due to the proper allocation of fertilizer. Based on the results of this research, it seems that SSNM greatly decreases nutrient quantity in similar environment & production system.…”

Section: Fertilizer Recommendation Strategiesmentioning

confidence: 99%

Delineation and Evaluation of Management Zones for Site Specific Nutrient Management in Maize Tracts of Northern Telangana using Geostatistical and Fuzzy C Mean Cluster approach.

Bhagwan,

Theerthala,

Devi

et al. 2023

Preprint

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Identification and demarcation of management zones (MZs) are required to maximize profit, reduce environmental damage, and enhance soil and crop health. The management zone with uniform spatial homogeneity and production potential may solve the problem of sustainable soil nutrient management. Hence, this current investigation was carried out to evaluate variations in soil parameters in order to demarcate the soil fertility zone for site-specific nutrient management. Overall, 200 soil samples (0-15 cm depth) with geographical coordinate were collected with a grid size of 14.2 m × 14.2 m from 4 ha maize cultivated area of Bogumpadu village of Ellanthakuntha mandal, Karimnagar district, Telangana, India. The collected samples were tested with different reagents to know the soil reaction and available nutrients in soil. The geostatistical technique was implemented to assess nutrient variability and preparation of variability map. The spatial variability of soil properties was explained by different models whereas spherical, exponential, and Gaussian models identified as the best-fitted models. Furthermore, the management zone was delineated by principal component analysis and fuzzy C-means clustering algorithm. Five PCs with eigenvalue >1, explaining 99.98 % of variation in overall variation were selected for the next statistics. Three management zone were identified by using the fuzzy performance index (FPI) and normalized classification entropy (NCE). The management zone significantly differs from each other. MZ-1 covers an area of 45.5 %, followed by MZ-2 (29.5 %) and MZ-3 (25%). To evaluate the management zone productivity, site-specific nutrient management experiment was conducted in the maize field. The different fertilizer doses were calculated for three management zones by the Soil test crop response model and compared with farmer fertilizer practices. The result showed the highest maize grain yield in MZ-3 (80. 18 q ha-1) followed by MZ -2 (79.25 q ha-1) and MZ-1 (77.89 q ha-1) and the lowest grain yield with farmer fertilizer practice (72.69 q ha-1). The highest N, P2O5 and K2O fertilizer saving was observed in MZ-3 followed by MZ -2 and MZ-1 compared to farmer fertilizer practices. This study concluded that the management zone concept reduced the application of fertilizer, reduced environmental pollution and increased the maize grain yield and profit.

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Validation of Soil Test and Yield Target Based Fertiliser Prescription Model for Hybrid Maize on Vertisol

Cited by 2 publications

References 3 publications

Development of soil test crop response based fertilizer prescriptions through integrated plant nutrition system for aggregatum onion (Allium cepa L.) under drip fertigation

Development of soil test crop response based fertilizer prescriptions through integrated plant nutrition system for aggregatum onion (Allium cepa L.) under drip fertigation

Delineation and Evaluation of Management Zones for Site Specific Nutrient Management in Maize Tracts of Northern Telangana using Geostatistical and Fuzzy C Mean Cluster approach.

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