eChapters

Introduction

Uttarakhand has a mix of almost all domesticated species of livestock, very large in number and very low in productivity across the board. In economic terms they are a wealth indeed, low productivity not with standing, as the sector supports livelihoods of nearly 80 percent of the rural households in the state, at least in part in the majority of cases and in full in some (tribal and nomads exclusively living off livestock).

Livestock production in Uttarakhand is the endeavor of the small holder (marginal, small and landless) and takes place in millions of small and tiny holdings scattered across the state. The predominant farming system is mixed crop livestock farming, both in the plains as well as the hills, irrigated in the plains and rainfed in the hills.

Open nucleus breeding system is considered to be a best approach to bring genetic improvement in livestock. This system was first introduced New Zealand for faster genetic improvement of sheep. The milk recording under field condition is quite expensive. Moreover, farmers are not under any obligation to retain the animal till the lactation is completed. The generation interval is also very large as it takes about 6-7 year by the time complete record on progeny testing programmes in developing countries is available, so that the effective genetic improvement is small. Use of best proven bull on the elite cow, which are best 5-10% of the cow for genetic improvement of the population. The net genetic gain in the herd considering the actual genetic improvement from various parents off spring path is around 0.7% per annum. Considering these situation in develop countries it has been proposed that ‘nucleus’ herd be created where males from the best cows are obtained. The nucleus herd would be open in the sense that the lowest yielding cows are culled every year and are replaced by procurement of that many high yielding cow from farmers herd. The nucleus herds are utilized entirely for production of males for breeding purposes in the population.

Abstract

Estimates of genetic parameters are needed for the prediction of breeding values and planning of selection strategies for desired genetic advancement. Even animal breeders feel lost when confronted with the huge set of different methods. This paper describes an overview of latest methods for the estimation of genetic parameters in a simplest possible way avoiding complex mathematical expressions.

Abstract

Data pertaining to 1761 records on daily milk yield and 1416 milk samples for estimation of fat and SNF percent in Banni buffalo during the year 2008-10 were collected from the breeding tract under In-situ conservation project on Banni buffalo and utilized for present study. The overall means ± SE for daily milk yield was 09.86 ± 0.07 lit. The month-wise daily milk yield was observed highest in second month, followed by 1st (12.96 ± 0.19 lit), 3rd (12.73 ± 0.19 lit), 4th (11.66 ± 0.20 lit), 5th (10.81 ± 0.25 lit), 6th (09.77 ± 0.23 lit), 7th (08.58 ± 0.18 lit), 8th (07.26 ± 0.17 lit), 9th (06.15 ± 0.11 lit), 11th  (05.70 ± 0.10 lit), 10th (05.41 ± 0.09 lit), 12th (05.78 ± 0.08 lit) and 13th  (05.48 ± 0.63 lit) months of lactation. The data on milk constituents’ viz. fat and SNF percent was grouped according to the seasons of the year and morning – evening milking.

Abstract

The data on production performance of Banni buffaloes during the 2008-09 and 2009-10 were collected from the animals selected under project “In-Situ Conservation of Banni buffalo”. The data on 208 animals were analyzed and overall means ± SE for total lactation milk yield, lactation length, peak yield, days to attain peak yield, milk yield per day of lactation length, service period and calving interval were observed as: 2917.76 ±  54.77 lit., 292.19 ± 2.88 days, 14.86 ± 0.18 lit., 47.50 ± 2.92 days, 9.99 ± 0.14 lit., 87.13 ± 4.39 days and 380.87 ± 2.36 days, respectively. Present findings on production performance indicate Banni buffalo an valuable germplasm maintained under extensive production system and arid climatic conditions of Kachchh and holds the promise of raising milk production of non-descript and low producing buffaloes through up-grading and crossbreeding. Therefore, Banni buffalo can be use as improver breed for genetic improvement of non-descript buffalo population in semi-arid and arid regions of the state / country.

Abstract

Buffaloes are considered to be the principle milk producing livestock species in India and Surti is one of the well-defined buffalo breeds of India. The study on lactation curve and persistency is very much helpful to know the sustainability of the lactation. The present study is based on daily milk production records for 298 lactations from 130 buffaloes belonging to 15 sires. Lactation curve was prepared through Statistical Packages for Social Sciences programme. Two functions, i.e. gamma function and inverse polynomial functions were fitted to the daily milk yield records. Persistency was calculated through simple analysis in Microsoft Excel 2000 on the weekly records of the milk yield. Gamma function was found to be more effective as compared to inverse polynomial function with higher R2 value for all the four lactations, which indicated that gamma function can be effectively used to establish lactation curve and predict milk yield of animals on any day of lactation. The value of persistency ranged from 97.94% in fourth lactation to 98.56 % in first lactation, indicating Surti buffaloes as fairly persistent in milk production throughout the lactation.

Abstract

Bhadawari is one of the recognized buffalo breeds of India and is famous for high milk fat content. The main breeding tract is Agra and Etawah in Uttar Pradesh and Bhind and Morena districts in Madhya   Pradesh. The tract was a part of the erstwhile Bhadawar estate from where the name of these animals originated. Bhadawari, the brown beauty of ravines and predominantly the only breed adapted to the harsh conditions of the ravines with undulating topography, thorny and scanty bushes, climatic stress and draught conditions. Breed is said to be resistant to many tropical bovine diseases and also known for eating less and producing more. Calf mortality is significantly lower than the other breeds of buffaloes. Male animals are good for agriculture work especially for ploughing in rice fields.

Introduction
 
Livestock sector plays an important role in Indian economy and is an important sub sector of India agriculture the contribution of livestock to gross domestic product was 4.7% in 2004-05 with 27% share in agriculture and allied sector. Milk production in India reaching a level of 91 million tones in 2004-05. It is estimated that in milk production 58% of milk was contributed by buffaloes with average lactation milk about 1300 kg. Some of the buffaloes produce as high as 4000 kg but their number is limited. India with 185 million cattle and approximately 98 million buffaloes possesses 20% of the world bovine and 14% of the cattle population. Buffalo population in the country has been increasing at a steady wait with slight increase in productivity. Highest increase in the past five years was observed in Haryana (25.1% ), followed by Uttar Pradesh (20.6%), Madhaya Pradesh (13.9%), Gujrat (13.6%), Uttaranchal (12.2%), Andhra Pradesh (10%) and Rajasthan (6.6%). Productivity per animal is very low mainly due to low genetic potential for milk production, near absence of the genetic improvement programmes, poor plan of nutrition and health measures. 

Buffaloes have been classified in two main categories namely riverine and swamp buffaloes depending upon variation in their habitat and genome structure. River buffaloes are generally large in size mostly with curled horns and are mainly found in India, Pakistan and some of the west Asian countries, prefer to enter clear water and have 50 (2n) numbers of chromosomes and are primarily used for milk production and also used for meat production and draught power. Swamp buffaloes are stocky animals with marshy land habitats and have 48 (2n) numbers of chromosomes. They were primarily developed for draught power in paddy fields and haulage and are also used for meat and milk production. Swamp buffaloes are mostly found in south East Asian countries and few animals are also available in north eastern states of India.

Animal Husbandry is making a significant contribution to the national economy and socio-economic development in the country. In rural India where over 15-20% families are landless and about 80% of the land holders belong to the category of small and marginal farmers, livestock is the main source of livelihood with the policy of the state Animal Husbandry Department to extend free breeding, vaccination and veterinary services, and permit free grazing on community lands, the farmers were encouraged to expand their herd size without any major financial burden. This has probably been the reason for the presence of the worlds largest livestock population in India. India rank first in buffalo population, second in cattle and goat, third in sheep and seventh in poultry (Table-1). Although the population of livestock during last 10 years has been stable around 485 million, the buffalo population during 1997-2003 has increased by 8.91%, while the cattle population has reduced by 6.89%. There has been a significant increase in population of goats during the last five decades, which is attributed to the decrease in the size of land holdings and persistent drought caused by erratic monsoon, forcing many small farmers to shift from large animals to small ruminants.

Dairy buffalo production has been a tradition in parts of the world like the Caucasian countries. Asia and Egypt, where fresh buffalo milk, dahi (cultured sour milk), ghee (butter oil) and yoghurt are popular. In Italy the dairy buffalo industry is flourishing thanks to the popularity of buffalo mozzarella cheese. Because of the market for Mozzarella, buffalo farming is a profitable enterprise and is carried out in an organized manner with modern equipment. In South American countries like Brazil and Argentina, buffalo reared for both milk and meat. In recent years buffalo milk and milk products, especially Mozzarella cheese, have become immensely popular and dairy buffalo production has founds its way into non traditional areas with the number of buffalo farms mushrooming.

Abstract

Performance records of 1085 crossbred cattle daughters of 57 sires maintained during 1974-2004 at Instructional Dairy Farm of G. B. Pant University of Agriculture & Technology, Pantnagar were used to evaluate sires for first lactation and life time performance traits. First lactation traits included were age at first calving (AFC), first lactation period (FLP),first dry period (FDP) and first calving interval (FCI) and life time traits were herd life (HL), total lactation length and life time milk yield. The data were analyzed to estimate the breeding values of sires using least squares methods (LSM), best linear unbiased prediction (BLUP) and derivative free restricted maximum likelihood (DFREML) method. The average breeding values of sires estimated by all three methods were similar and estimated for AFC, FLP, FDP and FCI as 1359.95 days, 356.56 days, 177.58 days and 534.15 days respectively and for HL, TLL and LTMY as 1641.30 days, 1320.20 days and 9110.30 kg respectively. The estimated breeding values (EBV’S) showed large genetic variation between sires for both first lactation and life time traits. The estimated breeding values (EBV’S) of sires had very high and significant product moment correlations and rank correlations among all first lactation and lifetime traits estimated by all three methods.

Abstract

The data for the present investigation were obtained from the performance records of 1081 crossbred cattle progeny of 65 sires maintained at Instructional Dairy Farm Nagla of G.B. Pant University of Agriculture & Technology Pantnagar, distributed over a period of 40 years from 1966-2005. A total of 65 sires were evaluated on the basis of single and multi traits of their progeny. For single trait sire evaluation, FLMY was considered as principal trait under univariate models viz- simple daughter’s average () method, least squares method (LSM), DFREML-I method and BLUP-I method. However, for evaluation of sires by multi traits FLMY+AFC, FLMY+FLP and FLMY+AFC+FLP, the multivariate models viz. DFREML-II, DFREML-III, DFREML-IV, BLUP-II, BLUP-III and BLUP-IV method were used. The lowest average breeding value (2616.25) for the trait was obtained by () method and the highest average breeding value (2660.42 kg) was obtained by the rest nine methods. The accuracy, efficiency and stability of different sire indices were compared to judge their effectiveness. The evaluation method that gave the lowest error variance was considered to be most efficient.

The state of Uttaranchal was carved out of Uttar Pradesh on 9^th November 2000 as the 27th state of the union of India and renamed as Uttarakhand. The state is located in western Himalayan region and is one of the geographically smallest states of the country. However, the state is enriched with livestock biodiversity represented by cattle, buffaloes, goats, pigs, horses, mules and poultry.  The climate of the state varies from subtropical in the valleys to temperate on higher slopes with a summer monsoon. The temperature ranges from -5.4ºC (Muketshwar, higher hills) to 40.2ºC (Pantnagar, plains) but it drops below freezing point in many parts of high mountainous areas of the region during winter. Preponderance of hilly terrains and forestland restricts the size of the agricultural land/ holding. The average rainfall recorded in the year 2008 was 1605 mm.  Higher rainfall, abundance of natural pastureland and suitable climatic conditions makes the state favorable for livestock development. The human population was 84.89 lacs with a density of 159 people per sq km during the year, 2001.

India is very rich in biodiversity especially in animal genetic resources and animals have been part and parcel of agricultural heritage. There are about 30 well defined breeds of cattle found in different parts of the country. To name a few are Sahiwal, Red Sindhi, Gir, Kankrej, Deoni, Tharparkar, Hariana, Ongle, Nagori, Amritmahal and Hallikar. The cattle breeds are classified into three types i.e. dairy, dual purpose and draft/drought animals. The number of the animals of majority of indigenous breeds has declined over the years. Further, their number is very low and majority of cattle population (80%) in India is non-descript. The introduction of systematic crossbreeding program of our native cattle with exotic breeds in seventies have further led to the depletion of prized germplasm of all the indigenous breeds under farm and field conditions. However, considering the importance of indigenous cattle, some of the breed improvement programs have been initiated to conserve and multiply these breeds. The associated herd progeny testing program has been going on at NDRI Karnal for the genetic improvement of Sahiwal cattle. All India Coordinated Research Project on Hariana and Ongole cattle has been undertaken at different centres by Project Directorate on Cattle, Meerut. Lately, three more breeds namely Sahiwal, Gir and Kankarej have been included in the indigenous breed improvement program (IBP) and different centres have been identified as germplasm units and data recording units for different breeds under the program.

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.

Abstract

Global warming is predicted to have significant effects in global potato production. Like many crops, potaoes are likely to be affected by changes in atmospheric carbon dioxide, temperature and precipitatiom, as well as interations between these factors. As well as affecting potatoes directly, climate change will also affect the distributions and populations of many potato diseases and pests. Potato is one of the world’s most important food crops. Potato prodcution must be adapted to climate change to aviod reductions in crop yields. Potato plants and potato crop are predicted to benefit from increased carbon dioxide concentrations in the atmosphere. The major benefit of increased atmospheric carbon dioxide for potatoes (and other plants) is an increase in thier photosynthetic rates which can increase their growth rates. Potato crop yields are also predicted to benefit because potates partition more starch to the ediable tubers under elevated carbon dioxides levels. Higher levels of atmospheric carbon dioxide also results in potatoes having to open thier stomata less to take up equal amount of carbon dioxide for photosynthesis, which means loss through transpiration from stomata. As a result the water use efficiency (the amount of carbon assimilated per unit water lost) of potato plants is predicted to increase.

Abstract

Rice being the major food crop in the world requires a serious attention to protect the crop from variable pest attack under change in climatic scenario. More then 100 species of insects have been recored as rice pest affecting the productivity as well as maintaining sustainability in rice production. Bio-control agents for the control of rice pests are to be systematically evaluted. More than 1500 species of pathogens are formulated as microbiological insecticides. So our current awareness in pest- pathogen-abiotic interactions should be made use in designing the crop protection strategy.

Abstract

Mulberry is a fast growing deciduous woody perennial plant. It has a deep root system. the leaves are simple, alternative, stipulate, petiolate, entire or lobed. The number of lobes varies from one to five. Plants are generally dioecious. Inflorescence is catkin with pendent or drooping peduncle bearing unisexual flowers. Inflorescence is always auxiliary. Male catkins are usually longer than the female catkins. Male flowers are loosely arranged and after shedding the pollen, the inflorescence dries and falls off. These are four presistent parianth lobes and four stamens implexed in bud. Female Inflorescence is usually short and the flowers are very compactly arranged. There are four presistent parianth lobes. The ovary is one-celled and the stigma is bilid. The chief pollinating agent in mulberry is wind. Mulberry fruit is a sorosis, mainly violet black in  colour. 

Abstract

As such in search of alternative to chemical insecticides against insect pest of rice resulted in identifying white muscardine fungus, Beauveria bassiana an entomopathogen out of several entomogenous fungi prevalent in rice ecosystem as the potential mycoinsecticides. The fungus has 78-87% virulence against rice hispa with  LC 50 value of 90.16. Under field situations it is required that the effectiveness of the bioagents are enhanced by combining them with compatible pesticides. A sublethal dose of a pesticide  would make the insect physiologically weak which makes it much more susceptible to the attack of the entomogenous organisms. In view of this, compatibility test was conducted with 14 different commonly applied insecticides at two different doses i.e., recommended and half of the recommended dose. In small scale field trial chloropyriphos at half of the recommended dose along with B. bassiana was the best treatment in controlling the pest along with increased yield of the crop consecutively for two years.

Abstract

Tripura is expected to be highly prone to the consequences to climate change because of its geo-ecological fragility, strategic location, its trans-boundary river basins and its inherent socio-economic instabilities.  Environmental security and sustainability of the state is and will be greatly challenged by the impacts of climate change in coming years.
Climate and weather can substantially influence the development and distribution of insects.

Introduction

India is believed to be the native of several economic plant species which have spread to various part of the world. While agriculture continuous to stagnate in underdevelopment and insufficiency in food production. India enjoys variable climatic conditions and multiplicity of topographic feature, elevation and rainfall. The climatic conditions and soil type are so diversified that the various combinations of these factors favor unlimited production of a wide variety of crop plants. Now started move and rapid changes are taking place largely as results of bio-technology to advance scientific agriculture. Bio-technological approaches introduction of genetically modified in plant protection. A small percentage of former are well educated on the advantages of scientific forming and are adopting newer technique at limited extent.

Abstract

Pest damage is an age old problem of Indian agriculture. The increased accumulation of green house gases always changes the climatic conditions that have potential effects in increasing pest population.  The insect pests are cold-blooded animals and their body temperature varies with the surrounding temperature. Thus, any change in the climate and weather is bound to influence the activity of pests. The pests are directly influenced by temperature, precipitation, humidity, wind speed and other environmental factors in terms of their occurrence, development, reproduction, distribution, migration and adaptation. In many cases the insect out breaks which classified as gradient out breaks are not self-driven but are entirely dependent on external environmental conditions. For example, the number of aphids has frequently been shown to be correlated with several environmental factors. Such correlations indicate an understanding of aphid out breaks. The increased temperature as a result of climate change has several implications for agricultural pests. These are as follows: (i) changes in population growth rates, (ii) increased number of generations, (iii) extension of development season, (iv) extension of geographical range, (v) increased over wintering, (vi) changes in crop-pest synchrony, (vii) changes in interspecific interactions, (vii) increased risk of invasion by migrant pests, (ix) introduction of alternate hosts, and (x) availability of over wintering hosts.

Abstract

The present experiment was conducted to study the influence of weather parameters on the population dynamics of insect pests of rice during 2009-10 at ICAR-RC for NEH Region, Mizoram Centre, Kolasib, Mizoram. The result of the study indicated that, the mean populations of peak abundance of major insect pests rice crops during August were stem borer, flea beetle and gundhi bug. The Correlation studies showed that stem borer population a significant positively correlation was observed with maximum and minimum relative humidity. Nevertheless non significant negative correlation was obtained with maximum and minimum temperature. The finding of the present study indicated a positive non significant correlation with maximum relative humidity, maximum and minimum temperature where as negative insignificant correlation with rainfall and minimum relative humidity with flea beetle population. The highest minimum temperature showed a positive significant correlation with the Monolepta.

Abstract

Climate change or elements of variability is a matter of great concern production positive, negative or natural impact on pest dynamics because of the specific nature of interactions of host, the pest and the environment. New pest such as Rice Whorl maggot, Flea beetal in rice/soybean and bark eating beetle in citrus are emerging with the change in climate pattern. Pest outbreaks in epemic form such as Rice hispa and rice ear cutting caterpillar are also noted. Location specific IPM packages with an emphasis on biological control are the need of the hour considering the threat of environmental pollution. The ecosystem diversification along with the study on natural enemies, spiders and coccinellids may be brought under purview.

Abstract

Climate is changing naturally at its own pace, since the beginning of evolution of earth, 4–5 billion years ago, but presently it has gained momentum due to inadvertent anthropogenic disturbances. Global climate is changing and it can have serious implications for our food security through its direct and indirect effects on crops, soils, live stocks, fisheries and pests. In the developing countries including India there has been relatively less attention paid to this topic in an integrated manner. Agriculture is the largest human activity in the world which depends on climatic parameters. We can manipulate soil, water and nutrient management practices but manipulation of climate is beyond our control. It influences crop-pest equilibrium. More than 50% differences in yield are due to climatic variation. Different causes of climate change are: A) Natural cause: Earth orbit, Global warming, Mountains, Sun, and Volcano. B) Anthropogenic cause: Global warming, Deforestation, Change in land use pattern. Climate change is a present reality and a major risk for future generations. Implementing energy conservation methods and utilizing renewable resource such as green power (power from moon, hydrogen fuel, nuclear power, sewage power, geothermal power and power of the mighty sun). Government should also encourage the use of mass transit; provide tax rebates for people who buy low and no pollution vehicles and subsidies to fossil fuels and the nuclear industries.

Abstract

Under Ministry of Earth Sciences, India Meteorological Department has launched District level Agro-meteorological Advisory Services in June 2008. The agro-advisory bulletins containing the forecast on rainfall cloud cover, wind direction and speed aid minimum and maximum temperature with their likely impact on crops are in use twice in a week.

Abstract

An attempt has been made in this paper to study probability model for modeling of spell distribution & Weather Cycles during the monsoon period (June to September) at Cochbehar, West Bengal. The daily rainfall data of 31 years (1970 to 2000), recorded at Cochbehar have been analyzed. In this study, it was found that daily rainfall during monsoon period follows Markov Chain model. Markov dependent truncated geometric distribution model is best fitted for studying the Dry spells, Wet spells & Weather Cycles during the monsoon period.

Abstract

Climate change and its various forms of variability are  a global phenomenon and are definitely a threat to our civilization. The change in climatic variables, being  uncertain in nature  has an impact on productivity of agriculture and other allied sectors thus producing a detrimental  effect on the fragile ecosystem prevailed in the North East India. Low or high atmospheric CO2  concentration, temperture fluctuations , rainfall and soil moisture variations, sunshine hours , soil temperature variability ,altogether considered as climatic complex could have impact on field crops, vegetables, fruit crops, animal and aquaculture productivity in a diversified way.Technological modalities in the domain of resilience in agriculture pertainining to natural resource management , crop production and livestock /fisheries  need to implemented in a holistic  manner so as to have institutional interventions to take the resilient measures in the doorstep of the farming community and such measures will be the  weapon for the people to face the challenges of climatic uncertaintity

Abstract

The north eastern region of India, consisting of the eight states of Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim and Tripura, has an area of 255 090 km2 with a vigorous monsoon dominated climatic and a dynamic hydro-geomorphic regimes. Endowed with a sub-tropical type of monsoonal climate, the region shows remarkable variability of weather and climate on a regional scale. It possesses about 30% of the total water resources potential and about 41 % of the total hydropower potential of India. The per capita and per hectare availability of water in this region is the highest in the country. The problems of environment degradation in the northeastern areas of India are, primarily impacted by demographic pressure, urbanization, natural disasters, soil erosion and land degradation. The region is visited by the southwest monsoons which make it one of the wettest areas in South Asia as well as highly frequented by the water induced disasters. The rapid melting of glaciers is initially expected to first contribute to excessive water flow and flooding in the region. Eventually with the full loss of glaciers, the shortage, when it comes, will likely arrive much more abruptly in time; with water systems going from plenty to want in perhaps a few decades or less.

Zenith : The point directly overhead on the celestial sphere.
 
Zenith Angle : The angle formed by the local line perpendicular to the surface on which the radiation falls, and the position of the Sun in the sky from which the incident ray falls. 

Year : The time taken by the earth to revolve once in its orbit round the sun.

Yellow Snow : Snow which has a yellow or golden colour due to the presence of pine or cypress pollen in it.

Xlokk : The name of a hot, dry wind that blows regularly in Malta.
X-rays : The electromagnetic radiation in the wave length region below 100 angstroms.

Walker Circulation : A thermally driven longitudinal cellular circulation over equatorial oceans, particularly Pacific Ocean, Peruvian coast, etc. These circulations rise in the West and sink in the East.
 
Warm Air : If the temperature of air is relatively warm as compared to an underlying surface or another adjacent air column or within itself, then the air is said to be warm air.

Warm Front : A front whose movement is such that the warmer air mass is replacing colder air mass.
 
Warm Sector : The state of lower troposphere in between a warm front and the following cold front. 

Vacuum : A space in which there is no air or gas. This is more an imaginary situation. This term indicate the air or any other gases at the minimum possible pressure in a space.
 
Validation : Model validation in its simplest form is a comparison between simulated and observed values. Validation is determining whether the model works with totally independent data sets or not and whether it accurately predicts growth, yield and processes by comparing the values predicted by the model with those obtained from the real experiment.