Rainfall variability and probability pattern for crop planning of Roorkee region (Uttrakhand) of India

Bhargava, Akshey; Singh, Pushpendra Kumar; Mitra, Vasu; Prasad, Awadhesh; Jayapalan, Manjusha

doi:10.54302/mausam.v61i4.907

Cited by 4 publications

(3 citation statements)

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“…Rainfall variability and probability pattern for crop planning of Roorkee region (Uttrakhand) of India. Daily rainfall data of 30 years 1979-2008 were used [10].…”

Section: Original Research Articlementioning

confidence: 99%

Analysis of Rainfall Probabilities and Crop Planning for Different Districts of Chhattisgarh

Sahu

Chaudhary²,

Sahu³

2022

IJECC

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Rainfall data of 17 districts in Chhattisgarh state has been used to determine the quantity of rainfall at different probability levels through incomplete gamma distribution. Bastar has the highest total annual rainfall, with 1090.0 mm, 1247.5 mm, and 1440.0 mm, respectively, at 90 percent, 75 percent, and 50 percent likelihood levels. Sukma district has the highest total annual rainfall with 1696.6 mm and 1955.3 mm at the 25% and 10% probability levels, respectively. At 90 percent and 75 percent probability levels, Bilaspur district has the lowest total annual rainfall of 300.8 mm and 542.8 mm, respectively. Kabirdham district has the lowest total annual rainfall at 50%, 25%, and 10% likelihood levels, with 983.1 mm, 1126.4 mm, and 1267.0 mm, respectively. Sukma district has the most rainfall (1466.6 mm) while Kabirdham district has the least (996.1 mm). Crop planning strategies have been designed in several districts of C.G. based on probability analysis. Potential crops are found by examining the appropriate agro-ecosystem, and suitable recommended types for production in various places are indicated. Only the inclusion of maize and sugarcane crops in cropping systems is being criticized.

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“…Rainfall variability and probability pattern for crop planning of Roorkee region (Uttrakhand) of India. Daily rainfall data of 30 years 1979-2008 were used [10].…”

Section: Original Research Articlementioning

confidence: 99%

Analysis of Rainfall Probabilities and Crop Planning for Different Districts of Chhattisgarh

Sahu

Chaudhary²,

Sahu³

2022

IJECC

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“…water demanding should be replaced by low water requiring crops like maize, cumbu, sorghum, pulses, ragi and other minor millets. Sowing of maize, cowpea, groundnut and black gram during second fortnight of June can utilize the monsoon rain (Bhargava et al, 2010). The traditional method followed by farmers is sowing of crop soon after receiving first rainfall may affect the crop germination and initial growth due to moisture availability constraints right after sowing.…”

Section: Heavy Rainfall Eventsmentioning

confidence: 99%

Crop Planning using Rainfall Variability and Probability Analysis for Madurai District of Tamil Nadu

Dharani

Maragatham

Geethalakshmi

et al. 2022

IJARe

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Background: Agriculture is the most sensitive sector to climate variability. In rain-fed ecosystems, rainfall is the single most essential component in crop planning. Crop planning using rainfall variability and probability analysis helps to improve the productivity. Methods: A study was taken for crop planning in Madurai district by analyzing the rainfall variability and probability analysis using 40 years (1982-2021) of weekly, monthly, seasonal and annual rainfall data. Result: The mean annual rainfall in Madurai district was 925.5 mm was spread over 74 rainy days with 24.7 per cent of coefficient of variation thereby the rainfall is dependable over years with decreasing trend. The probability analysis showed that receiving 20 mm rainfall per week was for 12 weeks (32 to 45th week) except 35 and 37th week which is helpful for sowing and planting. On the other hand, highest mean monthly rainfall was received in October (176 mm) followed by September (137.4 mm). Seasonal analysis resulted that Southwest monsoon had high rainfall quantity with mean value of 397.7 mm. Rice is the major crop cultivated in this region should be replaced by maize, green gram, black gram, cowpea, sorghum, ragi and minor millets which can withstand drought conditions with less crop duration.

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“…On the other hand, some farmers grow sugarcane and banana as a wetland crop, which is highly water demanding should be replaced by low water requiring crops like maize, pearl millet, sorghum, pulses, ragi, other minor millets and vegetable crops like onion, chilli, tomato. Sowing of maize, cowpea, groundnut and black gram during second fortnight of June can utilize the monsoon rain (Bhargava et al, 2010). In order to mitigate the monsoon anomalous, the existing cropping pattern should be modified.…”

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confidence: 99%

Rainfall variability analysis and trend assessment in Theni District of Tamil Nadu, India: An implication for crop planning

et al. 2022

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Rainfall variability and probability pattern for crop planning of Roorkee region (Uttrakhand) of India

Cited by 4 publications

References 0 publications

Analysis of Rainfall Probabilities and Crop Planning for Different Districts of Chhattisgarh

Analysis of Rainfall Probabilities and Crop Planning for Different Districts of Chhattisgarh

Crop Planning using Rainfall Variability and Probability Analysis for Madurai District of Tamil Nadu

Rainfall variability analysis and trend assessment in Theni District of Tamil Nadu, India: An implication for crop planning

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