Rainfall variability analysis of Uttar Pradesh for crop planning and management

Analysis of long-term rainfall data (1986-2018) of Bastar region revealed decreasing trend in total quantum of annual rainfall with varying frequency and distribution. The quantity of winter and summer rains decreased drastically during 2008-18 as compared to earlier two decades (1986-96 and 1997-2007). SW monsoon rain of 2008-18 was more than past two decades, whereas NE monsoon rain changed much in quantity except during 1997-2007. During 1986-96, the pre-monsoon shower was received in April, but later two decades the shower was received in May, which supports for summer ploughing and dry aerobic seeding. The cropping period almost synchronized between 22-43 standard meteorological week (SMW) reaching 93.11 mm per week as maximum rainfall. As the probability of 20 mm rainfall decreased from 75 to 50%, the crop yield got reduced by 30%. The mid-land rice with a probability of 13.47 to 16.07 mm rain per week supported growth phase during 17-21SMW. Whereas, upland rice maturing in 90-100 days could avoid dry spells, if the rice is managed by conservation furrows at the time of sowing. The summer ploughing is preferred with more than 40 mm rain in single day during March to April for mitigating dry spells. On the other hand, preparatory tillage and sowing were performed together in support of ripening niger and horsegram under probability of 75, 50 and 25% rain through crop planning. Maize and small millets reduced yield significantly when rainfall reached 75% deficit, whereas 25% deficit rain did not affect the yields.

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

MAUSAM ◽

10.54302/mausam.v61i4.907 ◽

2021 ◽

Vol 61 (4) ◽

pp. 509-516

Author(s):

A. K. BHARGAVA ◽

P. K. SINGH ◽

VASU MITRA ◽

AWADHESH PRASAD ◽

M. JAYAPALAN

Keyword(s):

Rainfall Variability ◽

Crop Planning

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Recurrence Frequency and Variability Analysis of Fog Events for Planning and Management of Potato in Eastern U.P.

International Journal of Current Microbiology and Applied Sciences ◽

10.20546/ijcmas.2017.606.167 ◽

2017 ◽

Vol 6 (6) ◽

pp. 1423-1431

Author(s):

Nitish Kumar ◽

A.K. Singh ◽

S.R. Mishra ◽

Praveen Kumar Singh ◽

Chandan Kumar Singh ◽

...

Keyword(s):

Variability Analysis ◽

Planning And Management ◽

Recurrence Frequency

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Sources and Determinants of Agricultural Growth in Uttar Pradesh (India): Agro-Climatic Zone Level Analysis

Indian Journal of Economics and Development ◽

10.35716/ijed/20274 ◽

2021 ◽

Keyword(s):

Rainfall Variability ◽

Uttar Pradesh ◽

Climatic Zone ◽

Climatic Zones ◽

Agricultural Growth ◽

Panel Data Regression ◽

Data Regression ◽

Growth Prospects ◽

Area Expansion ◽

Level Analysis

The present paper inspects the sources and determinants of agricultural growth for the crop sector in Uttar Pradesh (India) from 2004-05 to 2015-16. The decomposition and panel data regression was used to derive the results at the agro-climatic zone (ACZ) level in Uttar Pradesh.The results revealed that: First,growth prospects via area expansion were limited due to land constraints in all agro-climatic Zones exceptZone-2 and 7. Second, agricultural growth decomposing to output prices was the highest in Zone-1 and 5 while lowest in Zone-7 and 8. Third, agricultural growth had the highest stake in yields in agro-climatic Zone-8 and 4, while lowest in Zone-2 and 1. Fourth, it was witnessed that diversification wasan important source of agricultural growth across all ACZ in Uttar Pradesh. It was also observed that the contribution of various sources to agricultural growth by the crop sector across the various zone level had widespread fluctuations. Moreover, the panel dataregression results showed that the rural infrastructure along with mechanization had a positive and significant impact on per ha value of the output ofthe crop sectorwhileclimatic factors viz., temperature difference and rainfall variability agricultural markets per hectare had influenced negatively of per hectare value of output by crop sector.The findings suggested a need to improve the rural infrastructural, institutional, technological, and climatic strengthening through new programmes and policies, directly or indirectly affecting agricultural growth, food security, and farmers' income.

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