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No full textNot AvailableThis technical bulletin forewarns the probable occurrence of the livestock diseases outbreaks at district level two months in advance. The bulletin in circulated to the state animal husbandry departments to take necessary action.Not Availabl
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No full textNot AvailableGeneral Crop Estimation Surveys (GCES) based on Crop Cutting Experiments (CCEs) are conducted for estimation of crop yield following random sampling approach for almost all major crops. About 13 lakh CCEs are conducted every year which has now increased rapidly due to the Pradhan Mantri Fasal Bima Yojana (PMFBY) which is yield based insurance scheme. As suggested by Ministry of Agriculture and Farmers’
Welfare (MoA&FW), this number needs to be reduced drastically by developing sampling procedures based on the use of advanced technologies and advanced survey techniques for crop yield estimation. In this study, an attempt has been made to develop crop yield estimation procedures using Random Forest Spatial Interpolation (RFSI) technique including the spatial variables like spatial distance and nearest neighbours as covariates. RFSI is one of the most adaptable and user-friendly interpolation techniques, as well as one of the fastest in large training datasets. Estimates of yield of wheat were obtained for all the six tehsils of Barabanki district using the estimator under stratified two stage sampling technique. The district level estimates were also obtained by pooling area under wheat crop in each tehsil along with the district level estimate of crop yield, estimate of variance, estimate of standard error (SE) and percentage SE (%SE) of these estimates were also computed in order to make comparison. The results of this study suggest that the estimates derived using RFSI are comparable to kriging and superior to inverse distance weighting (IDW) for the prediction of yield at unknown locations using distance and nearest neighbours.Not Availabl
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No full textNot AvailableThe demand for food and energy is increasing fast, and their security has become the prime issue in mainly developing countries like India. Agri-voltaic system has been pro-posed as a hybrid system, combining photovoltaic with agriculture simultaneously on the same land to capture solar energy for both energy generation and food production. The pre-sent study examined the performance of the 100 kWp agri-voltaic systems at ICAR-CAZRI, Jodhpur. Average PV generation from the 100 kWp AVS attached to the grid through a bi-directional energy meter or net meter has been about 342 kWh day-1. The average yield of mung bean, moth bean, and cluster bean in inter-row spaces between the panels in the two-row and three-row PV array was 1155, 670, and 2008 kg.ha-1, respectively. Thus, there were 4.6%, 8.6%, and 11.8% reductions in the yield of mung bean, moth bean, and cluster bean, respectively, in inter-row spaces between the panels compared to control. During Rabi (Irri-gated) 2021-22, the yield of chickpea, cumin, and isabgol (2490, 1000, and 700 kg ha-1, re-spectively) were lower in interspaces of the AVS than control (2670, 1120, and 760 kg ha-1, respectively). AVS resulted in a 6.6, 10.3, and 7.8% yield reduction of chickpea, cumin, and isabgol, respectively, compared to control. The AVS shows the maximum IRR (20.38%), whereas PV-GM has the lowest (19.42%) at the prevailing bank loan interest rate of 12%. The PBP estimated 7.47 years for AVS with irrigated crops and 8.11 years for AVS with rain-fed crops, whereas it was 8.61 years PV-GM. The lower value of the discounted PBP, the quicker the repayment of the investment cost. Therefore, the highest LCOE (INR 3.45 kWh-1) based on the break-even electricity tariff is estimated in PV-GM, and the lowest LCOE is computed in AVS (INR 3.17 kWh-1).Not Availabl
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No full textChapter 16 of book Transformation of Agri-Food SystemsGlobally, fish has been realized as a nature’s super-food with the global per capita availability for consumption of 20.2 kg/year/person. Aquatic system has provided 157.4 million tons of aquatic animals as food and served as a source for 25 million tonnes of easily digestible proteins packed with essential amino acids and health beneficial peptides. Marine fish is well-recognised for their richness in therapeutic fatty acids including eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). The richness in terms of essential micronutrients like vitamins and minerals has made the fish as a better and sustainable choice to address the nutritional issues at global scale. India has contributed 8% (162.48 lakhs tonnes) to the global fish production with the very below global per capita average annual consumption (6.31 kg/year/person). Global as well as Indian fish production has significant quantity as wastage due to post-harvest loss and process related waste generation, and nearly accounts to 27–39%. In the contest of Indian fisheries, minimizing post-harvest loss and improving the waste utilization through innovative solutions could greatly transform the aquatic food system to support the food and nutritional security of India. Innovations in technologies through research and development could strengthen the strategies to minimize the post-harvest fish loss. Innovations are demanded in fish processing methods, product development, processing machineries, handling tools, and supply chain. Implementing the developments happening in allied sectors, including information technology and artificial intelligence to strengthen the forward and backward linkages will result in a well-managed supply chain and cold chain. Bridging the information, knowledge and technological gaps between producers and consumers would be a key for reducing the post-harvest fisheries loss. The innovations in technologies to be friendly with local culture and should satisfy the peculiar local needs for better adoptions by many numbers so as to achieve the transformation envisaged in aquatic food system for building a healthy and wealthy nation.Not Availabl
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No full textNot AvailableAim: The aim of the present research work was to estimate the genetic variability, broad sense
heritability and genetic advance for various yield and its contributing characters of 39 maize
genotypes.
Methodology: 39 maize genotypes were sown in randomized block design and replicated thrice to
evaluate various genetic parameters. The data was recorded on twelve quantitative traits including days to fifty percent tasseling, days to fifty percent silking, days to maturity, plant height, ear height,
ear length, ear diameter, number of kernel rows/ear, number of kernels/row, 100kernels weight,
shelling % and grain yield/plant.
Results: The mean sum of squares due to genotypes for each of the 12 traits under study indicated
significant differences in analysis of variance. High to moderate genotypic and phenotypic
coefficients of variation as well as genetic advance were observed in the traits yield per plant, plant
height, ear height, number of kernels per row, and 100-kernel weight. These findings suggest that
the heritability of these traits is most likely the result of additive gene effects and that selection in
early generations may be effective for these traits. On the other hand, the remaining characters
days to 50% tasseling, days to 50% silking, number of kernel rows per ear, and shelling percentage
were recorded with high heritability with low genotypic and phenotypic coefficient of variation and
genetic advance suggesting non-additive gene action for control of these traits which provides
limited scope for improvement by selection.
Conclusion: Among the characters studied, grain yield, plant height, and ear height had high
heritability and high values of genetic advance indicating that these characters were controlled by
additive gene action and so phenotypic selection is effective for improvement of these traitsNot Availabl
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No full textNot AvailableThis livestock diseases forewarning bulletin forewarns the occurrence of the 15 livestock diseases outbreaks or cases two months in advance. It helps the state animal husbandry department to take up necessary actions.Not Availabl
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No full textNot AvailableA field experiment was conducted to study the effect of seven predominant integrated nutrient management (INM) practices on soil quality indicators and indices under two inter-cropping systems, namely cotton + black gram and green gram + rabi sorghum, at the All-India Coordinated Research Project for Dryland Agriculture (AICRPDA), Parbhani Center, located in Central and Western Maharashtra, India. The INM practices include F1: Farmyard Manure (FYM) @ 5 t ha−1; F2: Gliricidia @ 3t ha−1 (semi dried leaves + very soft upper twigs); F3: Recommended dose of fertilizer (RDF); F4: 25% RDF + FYM @ 2.5 t ha−1; F5: 25% RDF + Gliricidia @ 1.5 t ha−1 (semi dried leaves + very soft upper twigs); F6: Control with rotation and F7: Absolute control without rotation. The order of overall performance of the INM treatments, in terms of mean Soil Quality Index (SQI), across both the cropping systems studied was: F1 (2.59) > F4 (2.55) > F5 (2.52) > F2 (2.49) > F3 (2.40) > F6 (2.12) > F7 (2.04). In case of Cotton + black gram system, the predominant soil parameters which emerged as key soil quality indicator, along with their percent contribution toward soil quality index, were: organic C (21%), available Mn (21%), labile C (20%), dehydrogenase activity (DHA) (19%), pH (5%), available S (5%), mean weight diameter of soil aggregates (MWD) (5%) and available K (4%). However, in case of green gram + rabi
sorghum system, labile C (24%), available K (23%), available Mn (23%), microbial biomass C (MBC) (21%) and available S (9%) were found to be the key soil quality indicators in the black soil under study. The common
indicators for the two cropping systems studied under these Vertisol soils were: available K, available S, available Mn and Labile carbon (LC). Thus, these indicators assume great significance in managing the Vertisol soils under study. The methodology followed and the results of the present study will be immensely useful to different stakeholders in conducting such future studies and managing and improving soil quality under different inter-cropping systems in Vertisols.Not Availabl
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No full textNot AvailableRiver Cauvery is the third largest river in peninsular India. With the increasing demand of water for different social sectors, the entire river course was greatly altered due to water diversion by several dams, anicuts, and barrages. These modifications have its visible influence on the river habitat, flora and fauna - diversity, distribution, behaviour, etc. Based on the prevailing habitat conditions of the river and available fish species at various zones, fishers have modified their fishing gears to harvest the fish fauna in all the ecological niche within the river. The fishing practices followed along the river Cauvery were observed to be traditional but modified to suit the nature of fishing grounds. The present study recorded 31 different types of fishing gears including destructive fishing from river Cauvery.Not Availabl