In the present investigation, an attempt was made to study the decomposition and acreage response of pigeonpea in western Vidarbha. The study was based on time series secondary data on the rainfall, farm harvest prices and other data, which were obtained from various Government publications. Nerlovian lagged adjustment model (1958) was used in acreage response analysis based on time series data. The study revealed that the compound growth rate for area and production under pigeon pea was recorded high during period I in all the districts. During period II, the area, production and productivity of pigeonpea registered mostly negative growth rates in all the districts. During period III, the compound growth rate for area, production and productivity under pigeonpea has increased in all the districts of western Vidarbha region. At overall period, the coefficient of variation and Coppock&rsquo;s instability index for area, production and productivity were high for pigeonpea in Akola district compared to other districts and coefficient of variation and Coppock&rsquo;s instability index for production and productivity were lowest for pigeonpea in Amravati district. At overall period, in pigeonpea, the area effect (56.61%) was most responsible factor for increasing production in Amravati division with positive yield and interaction effect i.e. 18.91 per cent and 23.75 per cent respectively.

Decomposition analysis and acreage response of&nbsp;pigeonpea in western Vidarbha&nbsp;

Background: Uttar Pradesh is emerging as a driver of the nation&rsquo;s economy with its infrastructure and as an exporter of indigenous products. In the last few decades, it has become India&rsquo;s largest producer of food grains and has made a significant contribution to exports. 
 
Methods: The log-linear exponential method has been used to estimate production, area and yield growth. Production was decomposed to area, yield and interaction effects; for Stability analysis, the coefficient of variation (CV) and Cuddy Dell and Coppock&rsquo;s instability index were employed and analysis was carried out for three specific millet crops- sorghum, pearl millet and small millets. 
 
Result: In Uttar Pradesh, a region of significant millet production, there was a notable increase in the area, production and millet productivity over the entire period. Pearl millet, the most critical millet crop, accounted for a substantial portion of the area (46.93%) and (43.76%) of the total millet area and production in India, respectively. Growth indicated that the production and productivity of pearl millet have increased despite a decrease in the area under cultivation. The coefficient of variation (CV) and instability index suggested by Cuddy and Dell revealed that the production and productivity of pearl millet and sorghum millet showed a low degree of variation over the years. The decomposition of millet production indicates that it declined over the year. Regarding the interaction effect, the highest (2128%) was in the overall period of sorghum millet and the lowest. The highest interaction effect was observed overall compared to periods I and II.

Assessing the Growth Performance of Millet in Uttar Pradesh: A Decomposition Analysis

Background : The growth rate in agriculture refers to the increase in agricultural productivity over a specific period of time where as Instability is the fluctuations and uncertainties in various factors that affect the agricultural sector which creates major challenges for farmers and the farming industry. The present study is conducted to examine the growth and instability in area, production and productivity of selected cereal, millet and oilseed crop of Odisha. 
&nbsp; 
Methods: The whole study period is divided into two subperiod, period I (1970-71 to 1994-95) and Period II (1995-96 to 2019-20). The Cuddy Della Valle Instability Index (CDVI), Coppock&rsquo;s Instability Index (CII) and coefficient of variation (CV) are used to measure the instability in the area, production and productivity of maize, jowar and sesamum. Whereas the compound annual growth rate (CAGR) is used to measure the growth rates. 
&nbsp; 
Result: For whole study period, the CAGR showed a rise in the area and production of both sesame and maize over time. Highest value of CAGR is found in maize production for both the period- I and period-II. The CAGR for the productivity of jowar is found to be significantly negative for the whole period. The largest value of the Cuddy Della Valle volatility Index was observed in maize productivity, indicating the higher degree of instability.maximum instability observed in production of maize due to the lowest value of CII and CV. Productivity of jowar is found to be more stable and consistent followed by the productivity of sesame due to the lowest value of the coefficient of variation.

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Decomposition analysis and acreage response of pigeonpea in western Vidarbha

Assessing the Growth Performance of Millet in Uttar Pradesh: A Decomposition Analysis

Statistical Study on Growth and Instability of Area, Production and Productivity of Selected Cereal, Millet and Oilseed Crop of Odisha