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  1. Home
  2. Browse by Author

Browsing by Author "Ravi Bhat"

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    Alpinia ‘Jungle King’ – A ornamental intercrop in coconut plantation for aesthetics and income
    (2023-05) Nihad, K.; Abdul Haris, A; Ravi Bhat
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    Application of nonparametric additive model for input-response analysis in arecanut
    (Indian Society for Plantation Crops, 2008) Jose, C.T.; Ravi Bhat
    The relationships between the inputs and response are very complex in crop production models. Problems like nonlinear relationships between inputs and responses, nonexistence of proper functional form to represent relationship between inputs and response variable and multi-collinearity are very common in crop production data. The traditional multiple linear regression technique may not be adequate in many situations to explain input output relationship. In this paper we have used nonparametric additive regression model to explain input output relationship in arecanut. The comparative study shows that the nonparametric additive modeling technique performed much better than the multiple linear regression technique to explain the input response relationship. The estimated values of the component functions provide the mean response of input variables on the yield of arecanut. The optimum value of the input variables is obtained from the graphical representation of the component functions. The present analysis of data from the two districts show that input response relationship vary depending on the agro-climatic conditions of the locations.
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    Areca based high density multispecies cropping system in coastal Karnataka
    (2007-02-08) Ravi Bhat; Reddy, V.M.; Khader, K.B.A.
    The studies on areca based high density multi species cropping system (HDMSCS) were conducted at Central Plantation Crops Research Institute, Regional Station, Vittal for 10 years from 1983-84 to 1992-93.The results revealed that in a HDMSCS, intercropping did not affect the arecanut yield negatively. Banana is economical in the initial years. Pepper is good inter-crop during the early years and needs replanting after 5 to 6 years in disease prone areas. Cocoa grows well with areca and gives good returns.
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    Arecanut - based cropping system fetches more return
    (2014) Ravi Bhat; Sujatha, S.; Chowdappa, P.
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    Arecanut and Cocoa
    (2017) Sujatha, S.; Ravi Bhat; Chowdappa, P
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    Arecanut Based Cropping System
    (2016) Ravi Bhat; Sujatha, S; Chowdappa, P.
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    Arecanut based cropping systems
    (2014) Sujatha, S.; Ravi Bhat
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    Arecanut Based Cropping/Farming Systems
    (CPCRI, 2011) George V. Thomas; Krishnakumar, V.; Maheswarappa, H.P.; Ravi Bhat; Balasimha, D.
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    Arecanut crop management
    (2007-02-08) Ravi Bhat
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    Arecanut crop management
    (CPCRI, 2001-12) Ravi Bhat
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    Artificial intelligence in plantation crops
    (2019) Chowdappa, P; Ravi Bhat; Mathew, A.C; Rajesh, M.K
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    Assessing soil fertility of a laterite soil in relation to yield of arecanut (Areca catechu L.) in humid tropics of India
    (2012) Ravi Bhat; Sujatha, S.; Jose, C.T.
    The purpose of the study was to determine optimum nutrient norms for laterite soils (Ultisols) and to assess quantitative relationship of soil fertility, leaf nutrients and nutrient uptake with yield of arecanut. At 0–30 cm soil depth, optimum nutrient concentration for P, K, Ca, Mg, Fe, Mn, Cu, Zn and B was established as 15, 192, 925, 179, 37, 88, 26, 5.5 and 1.4 mg kg−1, respectively. Optimum ranges for different nutrients were found out from second degree polynomial equations. Optimum nutrient values were higher for laterite soils in arecanut tract than generalized guidelines for interpretation of soil analysis data. Multivariate analysis of nutrient data indicated that nutrient uptake/removal would explain the variability in yield more than actual nutrient concentrations in soil and leaf with high degree of relation (R2=0.92–0.98). Stepwise regression analysis identified the soil and leaf nutrient variables with a significant influence on the kernel yield of arecanut. The loadings of principal component analysis were in confirmation with the correlations among the nutrient variables and yield. The study clearly establishes the direct and significant relationship between soil nutrient status/nutrient uptake and yield. The findings of the study give scope for precision agriculture and judicious use of inputs.
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    Banana cv. Ney poovan Potential Intercrop in Coconut Plantation
    (2019-08) Panjavarnam, G.; Parthiban, S.; Subramanian, P; Ravi Bhat
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    Benefits of Drip Fertigation in Arecanut
    (2006) Ravi Bhat; Sujatha, S.; Balasimha, D.
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    Carbon sequestration potential in coconut - based cropping systems
    (2017) Bhagya, H.P.; Maheswarappa, H.P.; Surekha; Ravi Bhat
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    Climate change, weather variability and associated impact on arecanut and cocoa in humid tropics of India
    (2018) Sujatha, S; Ravi Bhat; Elain Apshara, S.
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    Coconut based farming system for livelihood and nutritional security
    (2017-03) Maheswarappa, H.P.; Subramanian, P.; Krishnakumar, V.; Ravi Bhat
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    Coconut cultivation making small farmers cheerful
    (2017) Ravi Bhat; Subramanian, P.; Chowdappa, P.
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    Coconut Planting and After Care
    (2022) Neenu, S; Ravi Bhat
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    Coconut-growing soils of Kerala: 2. Assessment of fertility and soil related constraints to coconut production
    (2018) Nair, K.M; Abdul Haris, A.; Jeena Mathew; Srinivasan, V.; Dinesh, R.; Hamza, H.; Subramanian, P.; Thamban, C.; Chandran, K.P.; Krishnakumar, V.; Ravi Bhat; Hegde, R.; Singh, S.K.
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