Production gap analysis - an operational approach to yield gap analysis using historical high-resolution yield data sets

The present study was carried out at five different villages of Kokrajhar district of Assam where cluster front line demonstration (CFLD) of High Yielding Variety (HYV) of rape seed (TS 46) was conducted by Krishi Vigyan Kendra, Kokrajhar. A total of 652 nos. of front line demonstration (FLD)s were evaluated to find out the yield gaps between HYV toria variety TS 46 and variety grown by farmers. Yield data of both demonstration and farmers practice were recorded and their yield gap, technology gap, extension gap and technology index were analyzed. The yield of rape seed variety TS 46 was registered 22.38 to 50.00 per cent higher over farmer’s variety. On an average technology gap, extension gap and technology index were recorded as 2.28qha-1, 2.08 qha-1 and 20.73 per cent respectively.

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Yield gap analysis of major pulses in India

Journal of the Institute of Agriculture and Animal Science ◽

10.3126/jiaas.v33i0.20707 ◽

2018 ◽

pp. 213-219

Author(s):

N. S. Rimal ◽

S. Kumar

Keyword(s):

Gap Analysis ◽

Madhya Pradesh ◽

Annual Reports ◽

Published Data ◽

Yield Gap ◽

Yield Data ◽

Yield Difference ◽

Potential Factors ◽

Official Records ◽

Yield Gap Analysis

In order to assess the nature and extent of yield gap in major pulses in India, published data from different official records were used for different time periods and comparison was made between states and India regarding yield difference of different pulses. Yield gap II was assessed with the help of data obtained from annual reports of Indian Institute of Pulses Research, Kanpur for major pulses crops. Both yield gap I and Yield gap II was examined in case of chickpea for the period of 2011-12 taking an aggregated yield data. The result revealed that most of the major pulses growing states were having lower yield of total pulses than national average while minor states showed higher yield during 2006-2012. With the positive growth in yield of individual pulses minor states were moving forward and showed potential increase in production of pulses. Yield gap II of major pulses in India showed an increase in the recent period over 2006-07. In case of chickpea frontline demonstration data for the period of 2011-12 revealed that yield gap II ranged from 7.63% in Karnataka to 24.37% in Madhya Pradesh among major chickpea producing states while this gap was 15.80% in Chattishgarh and 29.09% in Bihar among minor states. Yield gap for the same period was observed to be 28.46% in Madhya Pradesh, 28.75% in Karnataka and 28.56% in Maharashtra. These states contribute more than 50% of area share indicating tremendous untapped potential. Factors causing exploitable yield gap could be managed with effective implementation of government program along with participatory research and extension services ensured within the time frame.Journal of the Institute of Agriculture and Animal Science.Vol. 33-34, 2015, page: 213-219

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Determining the effects of climate on winter wheat yield in Northern China via yield gap analysis—A case study of Luancheng County, Hebei Province

CHINESE JOURNAL OF ECO-AGRICULTURE ◽

10.3724/sp.j.1011.2014.30893 ◽

2014 ◽

Vol 22 (2) ◽

pp. 234-240

Author(s):

Na ZHENG ◽

Xiuwei LIU ◽

Xiping WANG

Keyword(s):

Winter Wheat ◽

Gap Analysis ◽

Wheat Yield ◽

Northern China ◽

Hebei Province ◽

Yield Gap ◽

Winter Wheat Yield ◽

Yield Gap Analysis

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Evaluating irrigated rice yields in Japan within the Climate Zonation Scheme of the Global Yield Gap Atlas

The Journal of Agricultural Science ◽

10.1017/s0021859621000186 ◽

2021 ◽

pp. 1-12

Author(s):

S. Ishikawa ◽

T. Nakashima ◽

T. Iizumi ◽

M. C. Hare

Keyword(s):

Production Capacity ◽

Aridity Index ◽

Data Sets ◽

Yield Gap ◽

Yield Data ◽

Irrigated Rice ◽

Rice Yields ◽

The Stability ◽

Temperature Seasonality ◽

Government Statistics

Abstract The Global Yield Gap Atlas (GYGA) is an international project that addresses global food production capacity in the form of yield gaps (Yg). The GYGA project is unique in employing its original Climate Zonation Scheme (CZS) composed of three indexed factors, i.e. Growing Degree Days (GDD) related to temperature, Aridity Index (AI) related to available water and Temperature Seasonality (TS) related to annual temperature range, creating 300 Climate Zones (CZs) theoretically across the globe. In the present study, the GYGA CZs were identified for Japan on a municipality basis and analysis of variance (ANOVA) was performed on irrigated rice yield data sets, equating to actual yields (Ya) in the GYGA context, from long-term government statistics. The ANOVA was conducted for the data sets over two decades between 1994 and 2016 by assigning the GDD score of 6 levels and the TS score of 2 levels as fixed factors. Significant interactions with respect to Ya were observed between GDD score and TS score for 13 years out of 21 years implying the existence of favourable combinations of the GDD score and the TS score for rice cultivation. The implication was also supported by the observation with Yg. The lower values of coefficient of variance obtained from the CZs characterized by medium GDD scores indicated the stability over time of rice yields in these areas. These findings suggest a possibility that the GYGA-CZS can be recognized as a tool suitable to identify favourable CZs for growing crops.

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