eChapters

Snow is precipitation of solid water, mainly in the form of branched hexagonal crystals or stars. It is “precipitation of white opaque grains of ice”. Measurement of snow cover is related to runoff estimation and also important for hilly agriculture.

4.1. Snowfall

It is the amount of fresh snow deposited over a specified period (generally 24 hours). The measurements relate to depth and water content of the snowfall.

Rainfall is precipitation (falling of any type of condensed moisture to the ground) in the form of liquid drops larger than 0.5 mm in diameter falling on the earth surface. Ordinary rain drop size varies from 0.5-4.0 mm in diameter. Rainfall is measured in term of depth of rain water (millimeters) on a solid surface provided that rain water is neither allowed to percolate nor runoff or loss in any form.

Since meteorology and climatology are primarily observational sciences, adequate care has to be taken for getting most representative and accurate observations of weather parameters for their efficient application. This depends on site of observatory, maintenance of observatory, accuracy of instruments, timely measurements of weather parameters, knowledge and responsibility of the observer.

Monitoring of weather conditions, in a country like India, which is climatologically so diverse because of its unique geographical situation is a challenging task. It is done through a large network of observatories of different types. India Meteorological Department (IMD), Pune, is entrusted with the collection and keeping the record of weather data collected from different stations and also to train the man power in this specialized area. Weather stations installed in different parts of the country are of different types.

Agriculture encounters a complex dynamic system of natural conditions. The meteorological factors among these natural conditions play a pivotal role so far as agriculture is concerned. The rate of growth and development of a bio-system is largely depending upon its ambient temperature and moisture. The plant productivity per unit area, total production, quality of the produce, operational efficiency as well as econometrics are solely governed by the meteorological parameters. Therefore, their through understanding including the computation and the measurement techniques is absolutely essential. It is no less important to have sufficient workable information on weather phenomena as well as climatic resources to determine realizable potential and an appropriate solution for a number of problems faced in agriculture.

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.

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

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

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

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

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

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

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 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

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

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

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. 

Abstarct

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

Mushroom has a great potential in India. Its production is gradually increasing at the annual rate of 7%. The total mushroom production in India is 1.13 million tones and on the other hand, mushroom production annually in china is 18.2 million tones. There are a no. 07 wild mushroom available in the world and medicinal properties much as anti Candida, anti tumor (including cervical, uterine, stomach cancer) and antis viral are rotally present. Of the entire wild mushroom tested, T. glolulum has the highest amount of protein, ask, Calcium, phosphorus and iron. A total of 172 wild mushrooms have been reported home NE India and majority of the wild mushroom is of the order Agaricales. There is a need to make a concerted study of the mushroom biodiversity and its use for economic activity.

Abstract

Three villages were selected randomly representing the flood affected areas of Dhemaji district of Assam. Analysed data on climatic parameters like rainfall(mm), temperature(oC), potential evapotranspiration (mm), relative humidity (%) of last 10 years collected authentic sources and depth of ground water table  was collected from the well water depth from the three villages for twelve months showed that the length of growing period was more than 300 days and during July to September the ground water table is above the soil surface i.e. there is flood in this period, but during January to March, it is very low and water becomes inadequate for growing crops. Other climatic parameters are most suitable for both Kharif and Rabi crops, but annual flooding affects the crop during July to September. From the study it was concluded that short duration varieties of different crops like that of paddy, pulses, oilseeds etc. may be grown at pre and post flood condition.

Abstract

India has diversified agro-climatic conditions with significant variability in climatic factors viz, rainfall pattern, temperature, humidity, sunshine hours and wind speed etc. A no of fruit crops and vegetable crops are grown in India with significant differences in climatic requirements for sustainable growth and production of these crops. Attempt has also been made to have off season production of horticultural crops. Weather variability could also play a pivotal role in disease and pest incidence. So, forecasting of yield along with disease pest incidence should be given top priority to save the crop from weather vagaries and increase the crop productivity.