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The Photosynthetically Active Radiation (PAR) measure of radiant power is important in evaluating the effect of light on plant growth. The photosynthetic response correlates better with the number of photons than with energy. This is expected because photosynthesis is a photochemical conversion where each molecule is activated by the absorption of one photon in the primary photochemical process. PAR is defined in terms of photon (quantum) flux, specifically, the number of moles of photons in the radiant energy between 400 nm and 700nm. One mole of photons is 6.0222 x 1023 photons ( 6.0222 x 1023 is Avagadro’s Number). The Phtotssynthetic Photon Flux Density (PPFD), i.e. the photon irridiance, is expressed in moles per squre meter and per second (formerly, Einsteins per squre meter and per second). The absorption of PAR by wheat varieties increased from 7.30 h to 11.30 h followed by a decline at 13.30 h at CRI, tillering and milking stages.

Abstract

In order to estimate the irrigation need of the crop, stress degree day index computers from canopy and air temperature could be used. During rabi manon, two varieties (Seeta, Brassica Juncea) and (Benoy, Brassica Camperteris) were grown. The canopy temperature of the crop was measured on 45th, 60th  and 75th  days after sowing and stress degree day (SDDI) was also measured. About 67, 70 and 51 per cent activation between SDDI and dry matter production could be explained at 45, 60 and 75 DAS of the crop growth period. Reflectance by mustard canopy was 940 measured. Late sown crop reflected less radiation with the advancement of growth. Extinction coefficient was also measured and the increase in the value of extinction coefficient upon irrigation showed canopy development and better utilization of increasing radiation by the crop. 

Abstract

Infertility in Livestock is a matter of great concern Anoestrous and repeat breeding in buffalo and bovines are two of the most serious reproductive problems affecting 30-40% of the total cattles and buffalo population on a conservative estimate our country is loosing 20-30 million tonnes of milk due to anestrus and repeat breading in cattle and buffaloes translating to a loss of Rs 40-50,000 crores annually. The used weak symptoms of estrus in the normal breeding season (September to February) become ever weaker during the hot month of summer. The incidences of silent heat is the lowest in December while the break is seen in the hot summer month of April. Summer infertility is also noticedin goat. During summer farmer experience a variety of reproductive problems such as an estrus extended weaning to eastern interiors, poor conception rates, higher unbryo mortality rates and low barrowing rates. There are strategies to ameliorate heat stress induced fertility problems and gonadotropin treatment can prevent seasonal infertility. There is a need to implement several techniques at the field level combining the glance of any detrimental impact on health and environment

Abstract

Climate change and variability can adversely affect the poultry production in India, because birds can only tolerate narrow temperature ranges. Thermal stress on poultry is major concern. Heat and clod stress can cause immunosuppression and make birds more prone to infectious diseases. Climate change affects the occurrence, distribution and prevalence of poultry diseases.  Nutritional strategies aimed to alleviate the negative effects of heat stress by maintaining feed intake, electrolyte and water balance or supplementation of micronutrients such as vitamins and minerals to satisfy the special needs during heat stress have been proven advantageous. Ventilation and cooling methods are essential for birds to survive high summertime temperatures. Tunnel ventilation coupled with evaporative cooling is very effective in keeping birds cool during hot weather. The increasing proportion of poultry production in tropic and subtropical region makes it necessary to reconsider the selection strategy and potential use of naked neck and frizzle genes for improving heat tolerance in chicken.

Abstract

Climate change is a change in the distribution of weather over periods of time that range. The effect of climate change is now visible every where including animal farm industry. Projected temperature rise around 2-5oC by 2100 due to climate change is likely estrus, start estrus and decline in reproduction efficiency of livestock species Climate change may have a significant effect on livestock and other animals through is impact on diseases Zoonotic diseases which can be transmitted between vertebrate animals and humans are a matter of great concerns. There is an urgent need for adoption of integrated approaches towards mitigation of advance effects of climate change in animal production. There are nutritional strategies to reduce enteric methane production. Surveillance and monitoring with various adaption strategies are to be brought under purvision to reduce adverse impact of climatic variability in livestock 

Abstract

The breeding potential of Ompok bimaculatus is declining day by day due to decrease of rainfall and increase of atmospheric temperature. As a result, the population of Ompok bimaculatus is significantly reducing in the fresh water bodies of Tripura.
 
The results of reproductive biology of O. bimaculatus were based on the fish samples collected from different locations of some rivers and Hurijala wetland of Tripura. Total weight of the sampled fish varied from 22 g to 171.50 g and the females had a greater weight and length than males. Total length of the males varied from 16.50 cm to 29.50 cm, while the females ranged from 17.0 cm to 33.0 cm. Female dominance over male was observed in the species. The ratio of males to females was 1:1.58. Significant correlation exists between fish length and weight in both males (R² = 0.943) and females (R² = 0.827).

Abstract

Climate change is a matter of great concern considering aquatic resources and the productivity. The likely impact of Climate Change is noted in the domain both in marine as well as estuarine capture fisheries, fresh water capture fisheries and freshwater aquaculture. Climate change is having a linkage with spread of fish diseases as increasing water temperature will shift the balance in favor of either the host or pathogen changing the frequency and distribution of diseases. There are a no of adaptation and mitigation measures in aquaculture in order to increase the productivity and properly maintain the survivability of many aquaculture species.

Abstract

Aquaculture is facing the serious effects of climate change in the form of scarcity of water and shift in dissolved oxygen level leading to outbreak of diseases. In a study conducted in Farm facilities of ICAR, Tripura it was seen that rise in temperature do have significant effect on hematological and biochemical parameters of fish which are basic index of good health of any organism. Many different diseases occur in the farmers’ pond and which can be controlled. So some basic diseases and their controlling strategies have been pointed out that can lead to better management of fish diseases in pond condition.

Abstract

Gastrointestinal parasitic infections particularly Haemonchus contortus infection in goats is very common and found as major nematode infections in farm condition. To chalk out the control programme and to prevent the initiation of anthelmintic resistant parasites, it is essential to know well in advance the prevalence of H. contortus infection. During the year 2009, a study was undertaken on H. contortus infection in the goat farm of ICAR Research Complex for NEH Region, Umiam, Meghalaya, which is a subtropical hill area and bioclimatograph was prepared to predict the prevalence of H. contortus infection in goats of this area. Meteorological data of this area was collected to visualize the effect of temperature, rainfall and humidity. Bioclimatographs were prepared in which total rainfall (TRF) or relative humidity (RH) is plotted against the maximum temperature (T-max) or minimum temperature (T-min) for the months and the resultant points are joined by a closed curve. The lines constituted the windows on these bioclimatographs, indicating the limit of the climatic conditions most suitable for development and survival of exogenous stages of gastrointestinal nematodes.

Abstract

The disease is an output of the interaction among host, pathogen, and the environment over a period of time. Given that a susceptible host and an aggressive pathogen are available, weather determines the intensity of the disease over time. To capture the dynamics of the interactions among these biophysical variables, efforts have been made in the past to understand the variables per se and their interactions through modeling approaches.  The important weather parameters are temperature; rainfall/dew; leaf wetness period, wind, bright sunshine hours all of which are in turn influenced by soil properties. The important parameters of host that can influence disease development are susceptibility; growth stage and form; structure and density of the plant population and overall health. For pathogen, to cause disease, it should be present in the vicinity, pathogenic, adaptable with reproductive fitness and possess efficiency of survival and dispersal. 

Abstract

Rice blast disease (Pyricularia grisea cavara) which is very much weather sensitive, continues to be an enigmatic problem of West Siang District of Arunachal Pradesh, owing to its geographical location and climate. There is an urgent need of a forewarning system which can provide advance information for outbreak of the diseases attack so that protection measures can be implemented before the actual economic damage of the crop occurs. Two most important statistical techniques for disease forecasting viz. regression analysis and artificial neural network were chosen and forecasting models has been developed for the area and analyzed with local weather data to find best fit for the area and also compared with the Support Vector Machine (SVM) based model RB-Pred developed by Institute of Microbial Technology, Chandigarh. The model based on artificial neural network was found to be best with accuracy of 75-80%, with the present data and algorithm. The accuracy can be improved with long archive records and proper implementation and algorithm selection of the hidden layer, of both ANN and SVM based (being special case of ANN) models, for site-specific forecasting.

Abstract

Climate change is today’s major concern throughout the world. All sectors have been influenced with the impact of climate change. Similarly, agriculture sector has also been affected with the worse climatic changes. All components of agricultural production system like water, soil, vegetation, organism and microorganism etc. affected greatly due to climatic abruptions. And thus, the productivity is hampering day by day. Today, we requires to predict the trend of changes in climatic parameters like maximum and minimum temperature, humidity, wind speed, sunshine hours etc, to project future change in these climatic parameters, to assess the effect of theses climatic parameters on agricultural components like water resources, soil, vegetation, organism and microorganism and, also to find the adaptation and mitigation strategies.  All these works have beenmainly done by manual methods earlier. Developed country like USA, Japan, UK etc adopted the computer modelling to climate change research. Computer modelling and software assistance have been adopted slowly in developed countries. Since, climatic changes requires processing of very large number of data, they needs computer and software assistance. Without computer assistance climate change research seems to be impossible.

Abstract

Climate change is a long-term change in the statistical distribution of weather patterns over periods of time that range from decades to millions of years. It may be a change in the average weather conditions or a change in the distribution of weather events with respect to an average. Climate change may be limited to a specific region, or may occur across the whole Earth.Since, time immemorial human beings have attempted to predict the disease occurrence informally by mere observing the changes in pattern of weather parameters. But the present scenario has been very much altered with the incessant and irrational use of natural resources exposing the atmosphere to the enormous encumbrance. Excessive CO₂ emissions, deforestation and injudicious use of chemicals in agricultural fields have ultimately led to the climate change, which needs an absolute engrossment. Climate change has also invited the emergence and resurgence of many of the pest and diseases posing a grave challenge to manage them. So there is a need for immediate action through Government policies and scientific community to combat the situation. Disease forecasting models may be one of the rescuing options to mitigate the problems of agriculture.

Introduction

Today we are part of a highly complex and dynamic society. The complexity and dynamism are primarily due to the chain of changes induced by the scientific and industrial developments. The impetus provided by the information explosion coupled with scientific and technological developments to human life has triggered several unimaginable developments in the number, structure and functions of formal organizations. Realization of the supremacy of human mind over the tangible and exhaustible organizational resources like money, material and machine has led to the concept of ‘human capital’, which is now being considered as the most critical organizational resource to ensure organizational effectiveness and efficiency. Analogously huge investments are going in towards servicing and developing this critical resource of human capital in organizations. In this context, the concepts of human resource development (HRD) and training assume greater significance. In fact, training has been considered as a potential tool for HRD since ages. However, as a distinct profession, and also as a critical management tool, training is still in its early years. At the same time, there have been significant changes in the way training is conceived, understood and practiced.

Training helps people to become qualified and proficient in doing some jobs (Dahama, 1979). Usually an organization facilitates the employees’ learning through training so that their modified behaviour contributes to the attainment of the organization’s goals and objectives.
 
Training needs refer to the gaps between desired and expected levels of performance. Needs may be numerous. Besides they also need group, affection, recognition and fulfilment of their talents.

Training need may be defined as difference between existing and desired performance of person(s). In other words it is a gap between job requirement and job performance. That means it is gap between the existing and desired level of competency. Thus, the attitude, knowledge and skills of a person are lower than desired if the gap is significant there is a need for training.

In India’s National Extension Programme, professional workers constitute the link between the people and the institute created to advance economic and social change upon the character philosophy, technical knowledge and compliance of these workers largely rests for the success of the programme. Hence the quality of these workers and their training is the important element to be dealt with properly and guided wisely.

In early fifties, the Gramsevak / Village Level Workers (VLW’s) served as a key-man in Community Development Programme and therefore, the Government of India aimed at imparting him by better training and supervisory assistance. As a step in this direction, Gramsevak Training Centers were started to impart training to GramSevaks / VLW’s and Extension Officers were appointed in block for better supervisory assistance.

Agricultural colleges and universities were first formed in the belief that farm production could be increased as a result of the systematic application of current technology and agricultural research findings. The mission of these early educational institutions was to scientifically study agriculture with the participation of the farming community; to carry the results to a broad range of farmers who could use them; and to train farmers, extension workers, agricultural teachers and researchers so that agricultural production could continue to be increased on a sustained basis. In many of the developing countries, agricultural education and training have failed to adapt and respond to the realities of rural societies. In response to the urgent need to review and adjust teaching and training in agriculture at all levels. The training is an important tool to overcome the problem faced by the rural people all over the world. The availability of the resource is the crucial determining factors to strengthen the training Programme for the needy people.

1. Introduction

With the advent of globalization and subsequent economic liberalization, the focus of Indian agriculture is shifting from “subsistence” to “commercial” mode, where farming is viewed as a “business” rather than “life-support” system of poor farmers. Enabling farmers “decision-making” capacity is a primary driver of success in the market-oriented agriculture. This “commercial focus” has brought tremendous changes in the “nature” and “mode” of extension work. On the other hand, extension work organizations in developing countries like India, are being impacted by sharp decline in public sector funding, rapid technological innovations especially in the Information and Communication Technologies (ICTs), and the shift to a knowledge-based workforce. These developments created new opportunities for the extension workers to perform the information dissemination, capacity building and technology application more effectively. 

Improving the skill set of individuals is an important agenda of any development organization. The individuals may be anyone in the system who is directly or indirectly connected to the system.  Agriculture System is a complex and multi-stakeholder system with farmers as the axis of the wheel with other stakeholders’ forms part of spokes of the wheel. The scope for capacity building or training of every stakeholder has been peaking tremendously given the ever changing nature of the profession. The public and private training Institutions are vying with each other for conducting trainings in order to sustain the existence of the Institutions. Though a few institutions are really trying hard to take the technologies in real terms to the farming community, the following observations are very difficult to be masked.

Introduction

Training is the crucial and expensive component of HRD, intended to improve the efficiency and effectiveness of performance of the members of organization through planned learning efforts, transfer of such learning at work place and in turn improvement of the organizational performance. Given such objectives, most of the training programmes fail to inculcate the transfer component in trainees (Subedi 2004). Hence, there is an increasing concern over training transfer at work place and the resultant improved organizational performance in terms of productivity, efficiency, effectiveness and turn over etc (Howard 1995, Huselid 1995, Martocchio and Baldwin 1997 and Salas et al.. 2000, Thayer1997).