Farming systems methodology for efficient resource management at the farm level: a review from an Indian perspective

2008 ◽  
Vol 146 (5) ◽  
pp. 493-505 ◽  
Author(s):  
U. K. BEHERA ◽  
C. M. YATES ◽  
E. KEBREAB ◽  
J. FRANCE
Keyword(s):  
Linear Programming ◽  
Resource Use ◽  
Farming Systems ◽  
Farm Income ◽  
Resource Use Efficiency ◽  
Farm Level ◽  
Integrated Farming ◽  
Use Efficiency ◽  
Large Farms ◽  
Integrated Farming Systems

SUMMARYFarming systems research is a multi-disciplinary holistic approach to solve the problems of small farms. Small and marginal farmers are the core of the Indian rural economy constituting 0·80 of the total farming community but possessing only 0·36 of the total operational land. The declining trend of per capita land availability poses a serious challenge to the sustainability and profitability of farming. Under such conditions, it is appropriate to integrate land-based enterprises such as dairy, fishery, poultry, duckery, apiary, field and horticultural cropping within the farm, with the objective of generating adequate income and employment for these small and marginal farmers under a set of farm constraints and varying levels of resource availability and opportunity. The integration of different farm enterprises can be achieved with the help of a linear programming model. For the current review, integrated farming systems models were developed, by way of illustration, for the marginal, small, medium and large farms of eastern India using linear programming. Risk analyses were carried out for different levels of income and enterprise combinations. The fishery enterprise was shown to be less risk-prone whereas the crop enterprise involved greater risk. In general, the degree of risk increased with the increasing level of income. With increase in farm income and risk level, the resource use efficiency increased. Medium and large farms proved to be more profitable than small and marginal farms with higher level of resource use efficiency and return per Indian rupee (Rs) invested. Among the different enterprises of integrated farming systems, a chain of interaction and resource flow was observed. In order to make farming profitable and improve resource use efficiency at the farm level, the synergy among interacting components of farming systems should be exploited. In the process of technology generation, transfer and other developmental efforts at the farm level (contrary to the discipline and commodity-based approaches which have a tendency to be piecemeal and in isolation), it is desirable to place a whole-farm scenario before the farmers to enhance their farm income, thereby motivating them towards more efficient and sustainable farming.

scholarly journals Understanding growth and development of three short-season grain legumes for improved adaptation in semi-arid Eastern Kenya

2017 ◽  
Vol 68 (5) ◽  
pp. 442 ◽  
Author(s):  
A. Sennhenn ◽  
D. M. G. Njarui ◽  
B. L. Maass ◽  
A. M. Whitbread
Keyword(s):  
Resource Use ◽  
Growth Habit ◽  
Farming Systems ◽  
Grain Legumes ◽  
Resource Use Efficiency ◽  
Growing Period ◽  
Plant Densities ◽  
Use Efficiency ◽  
Short Season ◽  
Semi Arid

Short-season grain legumes play an important role in smallholder farming systems as source of food and to improve soil fertility through nitrogen fixation. However, it is not clearly understood how these diverse legumes contribute to the resilience of such systems in semi-arid environments. We describe the growth, development and resource-use efficiency (focusing on radiation, RUE) of three promising short-season grain legumes: common bean (Phaseolus vulgaris L.), cowpea (Vigna unguiculata (L.) Walp.) and lablab (Lablab purpureus (L.) Sweet). Two field experiments were conducted during the short rains of 2012–13 and 2013–14 in Eastern Kenya. In the first experiment, the legumes were grown at three plant densities (low, medium, high); in the second experiment, they were subjected to three water regimes (rainfed, partly irrigated, fully irrigated). Phenological development was monitored and biomass accumulation, leaf area index and fractional radiation interception were measured repeatedly during growth; grain yield was measured at maturity. Harvest index and RUE were calculated from these data. Common bean had the shortest growing period (70 days), the most compact growth habit and relatively high RUE but limited grain yield (1000–1900 kg ha–1), thereby proving more suitable for cultivation in areas with restricted cropping windows or in intercropping systems. Cowpea had a longer growing period (90 days) and a spreading growth habit leading to high light interception and outstanding grain yields under optimal conditions (1400–3050 kg ha–1). Lablab showed stable RUE values (0.76–0.92 g MJ–1), was relatively unaffected by limited water availability and had a comparatively long growing period (100 days). Lablab grain yields of ~1200–2350 kg ha–1 were obtained across all water regimes, indicating a high potential to cushion climatic variability. Planting density strongly influenced the production success of cowpea and lablab, with high plant densities leading to vigorous growth habit with low podset establishment. Such information on temporal and spatial differences in growth, development and resource-use efficiency is highly valuable for crop-modelling applications and for designing more resilient farming systems with short-season grain legumes.

scholarly journals Trade-Offs between Sustainability Indicators in Response to the Production Choices of Different Farm Household Types in Drylands

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 998 ◽  
Author(s):  
Loubna El Ansari ◽  
Roza Chenoune ◽  
Yigezu A. Yigezu ◽  
Christian Gary ◽  
Hatem Belhouchette
Keyword(s):  
Resource Use ◽  
Production Systems ◽  
Farm Income ◽  
Farm Household ◽  
Resource Use Efficiency ◽  
Trade Offs ◽  
Limited Food ◽  
Use Efficiency ◽  
The Impact ◽  
Farming Households

A lot of national and international effort has been made to promote sustainable agricultural production systems in drylands. However, success has been seriously limited due to lack of thorough characterization of the impact of the diversity of farm household types on productivity, resource-use efficiency and economic and nutritional status. This study applied hierarchical ascendant classification to a random sample of 286 cereal-producing farm households in Morocco and identified distinct household typologies. It also carried out an analysis of trade-offs between economic, nutritional and environmental factors induced by the production decisions of the different farm household typologies. Our analysis identified three dominant farm household typologies in the production system, namely: (i) intensive predominantly-vegetable farming households with high input intensities, (ii) semi-intensive cereal mono-crop farming households with moderate input intensities and (iii) extensive mixed cereal-legume farming households with low input intensities. Extensive mixed cereal-legume farming households exhibited the highest resource-use efficiency and high biodiversity. These benefits, however, came at the expense of a much lower farm income and limited food supplies relative to the other two systems. These results show that, as is the case for many dryland regions, all three farm types showed precarious conditions for one or more of the sustainability-related indicators.

Analysis on Resource Use Efficiency of Smallholder's Rice Production Farmers in Federal Capital Territory of Nigeria: Probit Model Approach

2021 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Sanusi Saheed Olakunle ◽  
Alabi Olugbenga Omotayo ◽  
Ebukiba Elizabeth Samuel
Keyword(s):  
Resource Use ◽  
Educational Level ◽  
Probit Model ◽  
Household Size ◽  
Rice Production ◽  
Farm Income ◽  
Resource Use Efficiency ◽  
Extension Services ◽  
Rice Farmers ◽  
Use Efficiency

This study examined the resource-use efficiency of smallholder rice production farmers in Federal Capital Territory, Nigeria. The problem of resource use among small-scale rice production farmers is preponderance in the country. Hence, the study investigated the drivers of the problem in the Federal Capital Territory of Nigeria. Specifically, the study was designed to determine the factors influencing the resource-use efficiency of the respondents. A multi-stage sampling technique was used to select a total sample size of one hundred and seventy-five (175) rice farmers in Federal Capital Territory, Nigeria. Seven estimators such as age, household size, farming experience, educational level, extension services, access to credit, and off-farm income in the Probit model were found statistically significant. Results show that the probability of resource use efficiency of inputs used by the farmers increases with age, farm size, household size, educational level, extension services, experiences in farming, access to credits, but decreases where they have off-farm income. Mc Fadden Pseudo-R2 gives 0.6772, and the Probit model explains a significant proportion of the variations in smallholder farmers' resource use. The study concluded that the socio-economic variables in the model play an important role in influencing resource use efficiency. The study recommends that government agencies and donors should provide simplified, accessible and obtainable credits and grants to existing and prospective rice farmers in order to sustain the current giant stride in rice production in the country.

scholarly journals Impacts of climate smart jute farming on resource use efficiency, productivity and economic benefits in rural Eastern India

2019 ◽  
Vol 48 (1) ◽  
pp. 75-82
Author(s):  
AK Singh ◽  
SK Jha ◽  
B Majumdar ◽  
ML Roy ◽  
S Sarkar ◽  
...  
Keyword(s):  
Resource Use ◽  
Scientific Evidence ◽  
Economic Benefits ◽  
Farm Income ◽  
Resource Use Efficiency ◽  
Planting Dates ◽  
Net Returns ◽  
Integrated Crop Management ◽  
Before And After ◽  
Use Efficiency

The study was conducted in jute-growing areas of West Bengal (India) to explore the potential resource use efficiency for economic benefits of selected climate smart practices to marginal landholder farmers. Integrated crop management (ICM) practices as part of climate smart jute farming (CSJF) was practised by 170 randomly selected farmers in six villages. An estimation of cost of adoption, change in fibre yields, net returns and human development index (HDI) before and after ICM interventions was done. The mean HDI value increased by 38.85% and farm income by 31.5%. The net benefits of adaptation to climate smart jute technologies were estimated based on specific adaptation actions. Empirical scientific evidence of the study indicates that the livelihoods of marginal landholders can be improved using new crop varieties, changing planting dates and bringing necessary changes in other variable inputs for line sowing, intercropping, weeding, nutrients, water and retting.

scholarly journals FARM EFFICIENCY MEASUREMENT OF PADDY PRODUCTION IN NORTHERN SRI LANKA USING DATA ENVELOPMENT ANALYSIS (DEA) APPROACH

2017 ◽  
Vol 5 (9) ◽  
pp. 164-170
Author(s):  
Ponniah Sivarajah
Keyword(s):  
Sri Lanka ◽  
Resource Use ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Resource Use Efficiency ◽  
Significant Difference ◽  
Use Efficiency ◽  
Farm Efficiency ◽  
Land Size ◽  
Large Farms

This study analyzed the production efficiency of paddy farms in Northern Sri Lanka using the Data Envelopment Analysis approach (DEA). Farm efficiency has been related to resource use efficiency and achievement of higher productivity. The aim of this study was to study the levels of production efficiency of small paddy farms, and to identify the impacts of land size and extension worker contacts on production efficiency. A total of 120 farmers were randomly selected in the Mannar district in Northern Sri Lanka. The DEA technique was used to measure technical/production efficiency and results were compared for land size and extension contact category of farmers. It was found that more than average of farms had low efficiency scores of below 0.5. Small farms and large farms had a significant difference in efficiency scores. Thus this indicates that there is an impact of land size on farm production efficiency and very small farms and also large farms are inefficient in paddy production the area. There was a significant difference in farm efficiency between farmers with extension contacts and otherwise. The study reinforced the role that can be played by extension workers in pushing the farm efficiency levels higher and helping in better resource use efficiency on farms.

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