|
Experiment code
|
18.9.3.53 |
|
Experiment Title
|
Growth and instability of pigeon pea cultivation in South Gujarat |
|
Research Type
|
Departmental Research |
|
Experiment Background
|
Pigeon pea is an important legume crop of rainfed agriculture in the semiarid tropics.
The Indian subcontinent, eastern Africa and Central America, in that order, are the world's
three main pigeon pea-producing regions. Pigeon peas are cultivated in more than 25
tropical and subtropical countries, either as a sole crop or intermixed with cereals, such
as sorghum (Sorghum bicolor), pearl millet (Pennisetum glaucum) or maize (Zea mays) or
with other legumes, such as peanuts (Arachis hypogaea). Being a legume capable
of symbiosis with Rhizobia, the bacteria associated with the pigeon pea enrich soils through
symbiotic nitrogen fixation.
In India, Karnataka, Maharashtra, Madhya Pradesh, Telangana, Gujarat, Uttar
Pradesh, Andhra Pradesh, Jharkhand, Odisha and Tamil Nadu are major pigeon pea
producing states which constitute about more than 80% of pigeon pea production of India.
The area, production and productivity of pigeon pea in India during the year 2018-19 was
44,780 thousand hectars, 3,315.44 thousand tonnes and 751 kg/ha, respectively. The area,
production and productivity of pigeon pea in Gujarat during the year 2018-19 was 250
thousand hectares (5.23% to all India), 307.51 thousand tonnes (9.27% to all India) and
1209 kg/ha, respectively.
In Gujarat, 8 major pigeon pea producing districts are Panchmahal, Dahod,
Vadodara, Chhotaudepur, Narmada, Bharuch, Surat and Tapi. More than 80% production is
come from these eight districts in Gujarat. Bharuch district alone possess about 32 % tur
area of Gujarat in the year 2018-19.Being a important crop of South Gujarat region, the
research project on ―growth and instability of pegion pea crop in South Gujarat‖ has been
taken with the following objectives |
|
Experiment Group
|
Social Science |
|
Unit Type
|
(02)EDUCATION UNIT |
|
Unit
|
(12)NAVINCHANDRA MAFATLAL COLLEGE OF AGRICULTURE (NAVSARI) |
|
Department
|
(249)Agricultural Economics Department, NMCA, Navsari |
|
BudgetHead
|
(303/03126/01)303/13/REG/01503 |
|
Objective
|
1.To study the growth rates in area, production and productivity of pigeon pea in South
Gujarat
2. To study instability in area, production and productivity of pigeon pea in South Gujarat
3. To study contribution of area and yield on production of pigeon pea in South Gujarat. |
|
|
PI Name
|
(NAU-EMP-1995-000728)JAYANTILAL JERAJBHAI MAKADIA |
|
PI Email
|
jjmakadia@nau.in |
|
PI Mobile
|
9825640825 |
|
Year of Approval
|
2022 |
|
Commencement Year
|
2022 |
|
Completion Year
|
2023 |
|
Research Methodology
|
For the analysis of growth rate, instability and decomposition for pigeon pea crop, the last 20
years (2000-01 to 2020-21) district wise data related to area, production and productivity of
pegion pea crop of South Gujarat will be collected from various Government published |
72
sources.
The present study is based on time series secondary data of pigeon pea crop of South
Gujarat region. The district-wise compound growth rates will be estimated to study the
growth. It will be estimated with the following exponential model.
Growth rate analysis:
Y = abt
Log Y = log a + t log b
CGR(r) = [Antilog(log b) -1] × 100
where,
CGR = Compound growth rate
t = time period in year
y = area/ production / productivity
a and b = Regression parameters
Instability analysis:
The coefficient of variation will be used as measure to study the variability in area,
production and productivity of Pegeon pea in South Gujarat region. The coefficient of
variation or index of instability will be computed by using the following formula
Linear trend will be fitted to the original data of area, production, productivity of
selected Crop, for the period of 20 years. The trend coefficients will be tested for their
significance. Whenever the trend of series found to be significant; the variation around the
trend rather than the variation around mean will be used as an index of instability. The
formula suggested by Cuddy and Della (1978) will be used to compute the degree of
variation around the trend. That is Coefficient of variation was multiplied by the square root
of the difference between the unity and coefficient of multiple determinations (r2) in the cases
where r2 was significant to obtain the Instability Index.
Decomposition analysis :
To measure the relative contribution of area and yield to the total output change for
the crop, Minhas (1964) and Sharma(1977) decomposition analysis model will be used. The
method state that if A0 , P0 and Y0 , respectively area, production and productivity in base
year and An , Pn and Yn are values of the respective variable in nth year item:
P0 = AO * YO and
Pn = An * Yn …………………………………..(1)
where, Ao and An represent the area and Yo and Yn represents the yield in the base year
and nth year, respectively.
Pn –Po =∆P
An – Ao = ∆A
Yn – Yo = ∆Y …………………………………(2)
From equation (1) and (2) we can write |
73
Po + Po = (Ao + A) (Yo + Y)
hence,
P = AO ∆Y/∆P *100 + YO ∆A/∆P *100 + ∆Y∆ A / ∆P *100
Production = Yield effect + area effect + interaction effect
Thus, the total change in production can be decomposed into three components viz., yield
effect, area effect and the interaction effect due to change in yield and area. |
|