Long term impact of different cropping systems on soil quality under silty loam soils of Indo-Gangetic plains of India

In a multi-enterprise agriculture model, six different cropping systems have been evaluated at research farm of CSSRI Karnal for nutrient availability in surface soil. All the cropping systems left tremendous effect on soil quality. Among the different cropping systems, sorghum-berseem maintained lowest soil pH (8.14) followed by cowpea-cauliflower-potato cropping system (8.35). Sorghum-berseem cropping system was significantly build-up of soil fertility in terms of available nitrogen, (221.1kg/ha) and soil organic carbon (0.59%) as compared to other cropping systems. However, phosphorus (59.80 kg/ha) availability was higher in vegetable system followed by wheat-green gram cropping systems (48.85 kg/ha) than the other cropping systems. Vegetable system of multi-enterprise agriculture model showed more availability of Ca (3.20 me/L), Mg (2.63 me/L) and S (11.71 me/L) than other cropping systems. Higher amount of Fe (8.44 mg/kg) was observed in maize-wheat-green gram cropping system, whereas higher Mn (6.37 mg/kg) was noticed in sorghum-berseem fodder system than the other cropping system. Zn and Cu availability was relatively higher in vegetable system. Under prevailing climatic conditions of Karnal, sorghum-berseem fodder system was found to be the best with respect to soil quality and ready adaptability by the farmers as it was not much changed by climatic variability over the last 6 years. Vegetable system and fruits + vegetable were more or less similar in accelerating the availability of nutrients. Thus, leguminous crop (green gram) in any cropping system helped in improving the soil health, which is a good indicator of soil productivity

Dynamics of Livestock Sector in Bihar: A Temporal Analysis

Bihar has predominantly an agrarian economy of Rs 180 billion which provides employment to about three-fourth of its working force and crop sector generates employment of more than 120 million labour days in a year. In Bihar, breed replacement rate has been slow mainly due to collapse of Public Artificial Insemination Centres. A private organization namely Patna Animal Development Limited came into existence in mid-eighties but operating mainly around Patna in the field of .A.I and animal health. COMPFED is also providing AI and animal health services to members of Dairy Co-operative societies. BAIF and J.K. Trust are also operating in Bihar but in limited area. Despite Public and private efforts in A.I. and animal health, about 50 percent of breedable bovine could come under the artificial insemination system and remaining 50 percent bovine is still served by natural breeding. Hence, there is a need to revive the public artificial insemination centres and promote private organization to establish A.I. and animal health centres in Bihar. Quacks still dominate in the field of animal health in Bihar and some of them are providing emergency services to dairy farmers. A crash programme may be started to train some of quacks in animal health to enable them to provide scientific treatment within a short period of time. Dairy co-operative is only successful organization in Bihar but covers less than 15 percent of villages during 24 years. The dairy co-operative system has lost its steam in Bihar. Moreover, it should not be allowed to monopolize the milk marketing system. During survey, several farmers showed concern about low prices paid by co-operative. Milk marketing needs more emphasis but private milk processing and marketing organizations are not getting institutional support in Bihar which could be done by promoting private entrepreneurs through institutional financing and government support. Price of milch animal is higher in Bihar than most of major states in India. It is only due to unavailability of good quality animals. All the animal breeding farms established to multiply good quality breeds under public sector have already been closed. There is no any private organization engaged in multiplication of good quality breed of animals in Bihar. Hence, arrangement should be made in public-private partnership to establish animal breeding farms for the purpose so that the good quality breed of livestock (including goats) are made available to farmers at reasonable price. Goatry is a practiced mainly on landless and sub-marginal households in Bihar. Hence, the promotion of goatry will help improving socio-economic status of weaker section of societies. Hence, the marketing arrangement for replacement of breed and training of farmers should be developed for promoting goatry in Bihar. At first phase, all the existing artificial insemination centres, animal breeding farms, hospitals and dispensaries and extension system should be revived and arrangement should be made to utilize properly the fund allocated to Bihar under centrally sponsored programmes including Rashtriya Krishi Vikas Yojana

Extension Reforms and Innovations in Technology Dissemination- ATMA Model in India

Decentralizing a large, complex national extension system is not easy, but the Government of India appears to be moving toward this long-term goal. Although ATMA model has been successful in addressing many of the extension problems and has shown exceptional impacts during the NATP phase but it seems to be going the T&V way. It is therefore, imperative that in the country like India, which has a vast territory and extremely diverse socio-economic and agro-climatic situations, ATMA model should be introduced and implemented with utter cautious. Different ATMAs should be empowered with sufficient administrative, financial and implementation flexibilities to address the basic problems in their operational jurisdiction. The use of FIGs to mobilize men, women, and young people around common interests, such as the production of flowers, fruits, vegetables, milk, fish and other high-value products, has energized both the farming community and the extension staff. Many FIGs have joined to form farmer associations or federations that can gain economies of scale in serving larger markets. Developing strong farmer organizations is a positive and necessary step in providing cost-effective extension services that will increase the income and employment of small-scale and marginal farm households. The block-level FACs are operational in most project blocks, but rural women and other disadvantaged groups still need more representation. Internal conflicts continue between priorities set by the ATMA Governing Boards and the heads of the line departments in allocating central government resources. The BTTs are still learning how to work together in utilizing a farming systems approach with multiple funding sources. There is no doubt that something that resembles a 21st centre vision of agricultural extension is needed and this means substantial reforms in public policies and services. Adding urgency to this is the ever-increasing complexity of agricultural sector development and the sector’s acknowledged role in poverty reduction. Of course, it is all too easy to criticise new approaches, such as ATMA. It is also important to realise that in a country like India and, indeed, elsewhere, administrative traditions and realities place limits on what is possible and politically feasible even as a pilot. But the challenge remains of how to break out of this best practice to best fit impasse

Extension Reforms and Innovations in Technology Dissemination- ATMA Model in India

Decentralizing a large, complex national extension system is not easy, but the Government of India appears to be moving toward this long-term goal. Although ATMA model has been successful in addressing many of the extension problems and has shown exceptional impacts during the NATP phase but it seems to be going the T&V way. It is therefore, imperative that in the country like India, which has a vast territory and extremely diverse socio-economic and agro-climatic situations, ATMA model should be introduced and implemented with utter cautious. Different ATMAs should be empowered with sufficient administrative, financial and implementation flexibilities to address the basic problems in their operational jurisdiction. The use of FIGs to mobilize men, women, and young people around common interests, such as the production of flowers, fruits, vegetables, milk, fish and other high-value products, has energized both the farming community and the extension staff. Many FIGs have joined to form farmer associations or federations that can gain economies of scale in serving larger markets. Developing strong farmer organizations is a positive and necessary step in providing cost-effective extension services that will increase the income and employment of small-scale and marginal farm households. The block-level FACs are operational in most project blocks, but rural women and other disadvantaged groups still need more representation. Internal conflicts continue between priorities set by the ATMA Governing Boards and the heads of the line departments in allocating central government resources. The BTTs are still learning how to work together in utilizing a farming systems approach with multiple funding sources. There is no doubt that something that resembles a 21st centre vision of agricultural extension is needed and this means substantial reforms in public policies and services. Adding urgency to this is the ever-increasing complexity of agricultural sector development and the sector’s acknowledged role in poverty reduction. Of course, it is all too easy to criticise new approaches, such as ATMA. It is also important to realise that in a country like India and, indeed, elsewhere, administrative traditions and realities place limits on what is possible and politically feasible even as a pilot. But the challenge remains of how to break out of this best practice to best fit impasse

Rural Poverty in Jharkhand: An Empirical Exploration of Socioeconomic determinants

In India, poverty reduction is one of the major objectives of economic development programmes. Though, India was the first country in the world to define poverty as the total per capita expenditure of the lowest expenditure class, which is required to ascertain a minimum intake of 2400 kcal/day in rural and 2100 kcal/day in urban areas. There exists a substantial interstate and urban rural differential in the cost of goods and services. The present study envisages analysing the nature, extent and severity of rural poverty across different household classes at selected villages in the state of Jharkhand. It also attempts to find out the determinants of poverty in the villages under study with the help of data obtained from four village’s viz. Dubaliya, Hesapiri, Dumariya and Durgapur under the project entitled “Tracking change in rural poverty in household and village economies in Eastern India.” For this study, we used a method known as FGT index to measure the incidence of poverty (headcount ratio), intensity of poverty (poverty gap ratio) and severity of poverty (squared poverty gap ratio). To find out the determinants of poverty, affecting the probability of an individual being poor, we estimated a Probit model using poverty as a dependent factor-a binary (poor-1 and non-poor-0) and a set of agricultural and socio-economic variables as explanatory variables. The severity of poverty was least (0.9%) in Dubaliya village, whereas it was highest in Durgapur village (15.4%) of Jharkhand where incidence and depth of poverty were also comparatively high. Even in case of poverty severity, labour class households and large farm households appears to be comparatively less affected than that of small and medium classes. However, in general, the pattern of severity is apparently mixed here. Among various determinants of poverty, obtained by estimating a probit model, considering poor as 1 and non-poor 0, it was found that length of education and number of earning members in family had significant poverty reducing effect, implying that for taking a poor household out of poverty promotion of education and creation of more employment opportunities to provide employment to a large number of household members are essential. It also emanates that big family size and increased dependency on agriculture would induce poverty and it is therefore imperative that family planning policies and alternative non-farm employment programme should receive due priority in any poverty alleviation programme in the state

Rural Poverty in Jharkhand: An Empirical Exploration of Socioeconomic determinants

In India, poverty reduction is one of the major objectives of economic development programmes. Though, India was the first country in the world to define poverty as the total per capita expenditure of the lowest expenditure class, which is required to ascertain a minimum intake of 2400 kcal/day in rural and 2100 kcal/day in urban areas. There exists a substantial interstate and urban rural differential in the cost of goods and services. The present study envisages analysing the nature, extent and severity of rural poverty across different household classes at selected villages in the state of Jharkhand. It also attempts to find out the determinants of poverty in the villages under study with the help of data obtained from four village’s viz. Dubaliya, Hesapiri, Dumariya and Durgapur under the project entitled “Tracking change in rural poverty in household and village economies in Eastern India.” For this study, we used a method known as FGT index to measure the incidence of poverty (headcount ratio), intensity of poverty (poverty gap ratio) and severity of poverty (squared poverty gap ratio). To find out the determinants of poverty, affecting the probability of an individual being poor, we estimated a Probit model using poverty as a dependent factor-a binary (poor-1 and non-poor-0) and a set of agricultural and socio-economic variables as explanatory variables. The severity of poverty was least (0.9%) in Dubaliya village, whereas it was highest in Durgapur village (15.4%) of Jharkhand where incidence and depth of poverty were also comparatively high. Even in case of poverty severity, labour class households and large farm households appears to be comparatively less affected than that of small and medium classes. However, in general, the pattern of severity is apparently mixed here. Among various determinants of poverty, obtained by estimating a probit model, considering poor as 1 and non-poor 0, it was found that length of education and number of earning members in family had significant poverty reducing effect, implying that for taking a poor household out of poverty promotion of education and creation of more employment opportunities to provide employment to a large number of household members are essential. It also emanates that big family size and increased dependency on agriculture would induce poverty and it is therefore imperative that family planning policies and alternative non-farm employment programme should receive due priority in any poverty alleviation programme in the state

Dimensions of Rural Poverty in Bihar: A Village Level Study

The measures of poverty involves a) the specification of the threshold income level below which a person is considered poor (the poverty line) and b) construction of an index to measure the intensity and severity of poverty suffered by those whose income is below the poverty line. Sen(1976) has proposed several criteria that a poverty measure must satisfy to be able to assess the changes in social welfare whereas Foster et al (1984) proposed a class of poverty measures that are additively decomposable and that satisfy all the criteria for an ideal poverty measure. For this study, we used a method known as FGT index to measure the incidence of poverty (headcount ratio), intensity of poverty (poverty gap ratio) and severity of poverty (squared poverty gap ratio). To find out the determinants of poverty, affecting the probability of an individual being poor, we estimated a Probit model using poverty as a dependent factor-a binary (poor-1 and non-poor-0) and a set of agricultural and socio-economic variables as explanatory variables. Despite annual growth of more than 10 per cent in Bihar’s economy, poverty remained the same during 2004-05-2009-10.Incidence of poverty was double among agricultural labours than that of farm households and the poverty gap between farm and agricultural labour households increased during last two decades. The decline in poverty has been also higher among farm households than the decline observed among agricultural labour households during last two decades however the decline in poverty was comparatively high among agricultural households than farm households during 2004-05-2009-10, mainly due to adverse weather at one hand and increase in wages of agricultural labour at another during the period. The comparatively high poverty incidence, gap and severity are observed in less developed village than developed villages in Bihar. Hence it may inferred that the level of development has direct influence on poverty alleviation that is; higher the development, lower the level of poverty in rural area. In villages, land is the main income generating asset hence the poverty incidence, gap and severity level are comparatively low in case of large households but the observation does not hold true in case of medium and small households because their land base is very low in Bihar. The highest poverty incidence, gap and severity are not found among labour households. It is only due to larger proportion of earning members and the majority of them are employed in non-farm activities on comparatively high wage whereas family member of households with even small piece of land do not prefer to work as labour, resulting less income flow and higher level of poverty among them. Various agro-economic and social factors are responsible for poverty. The three key determinants that help the household in keeping away from poverty are education, number of earning and family size. The education enhances the skill, chances of getting remunerative employment and increasing labour productivity which lead to higher income and decline in poverty. Larger proportion of earning members in the household also helps increasing income flow whereas smaller size of family leads to comparatively less expenses and more income to the household hence low level of poverty. These findings of poverty determinants call for establishment of effective educational and training infrastructure and streamlining of their functioning in rural area. The family welfare programme needs to be strengthened for population control since smaller family is likely to be away from poverty

Feed and Fodder Value Chains in Bihar: Some Empirical Evidences

Livestock production, especially dairy, has long been an important activity for smallholder and resource-poor farmers in India, both for household nutrition and income. Most of the livestock are kept in mixed farming systems, where crop residues, mainly cereal straws have been an important feed resource. India is deficient in the supply of fodder, resulting in very low levels of productivity that limit marketable surplus of milk. In Bihar State, over 50% of the land area is planted to rice, and rice straw along with wheat straw and some pulse residues form the main animal feeds. Recent studies in the Indo-Gangetic Plain have highlighted the problem of insufficient fodder and the poor nutritive value of fodder, a problem which becomes more acute in the more eastern parts of the region where agricultural resources–particularly arable land and water–become scarcer. Fodder scarcity affects most farmers but is particularly acute for landless and those with access to only small area of land. Chronic feed deficit is the major constraint to animal production in Bihar. Most of the dairy farmers are smallholders having one or two local-breed milch animals, which are raised on crop residues and natural pastures with under-employed family labour. Feeding grains, oil cakes and green nutritious fodder are generally restricted to some crossbred cattle. The feed and fodder deficiencies, in fact, have been the main limiting factors in raising livestock productivity. The present study is an attempt to look into various issues of feed and fodder markets and the role of various stakeholders in fodder value chains