Journal Articles (Gen)

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    Evaluation of static and flow-through depuration system on depuration of naturally contaminated farmed edible oyster Crassostrea madrasensis (Preston, 1916)
    (Elsevier, 2021) Chinnadurai S; Elavarasan, K.; V,Geethalakshmi; Kripa, V.; Mohamed, K. S.
    Depuration of naturally contaminated farmed edible oyster Crassostrea madrasensis was evaluated using fill and draw depuration system (FDDS) and flow-through depuration system (FTDS) to ensure food safety in oyster consumption. Depuration conducted at room temperature with seawater salinity ranges 30–35 psu and pH of 7.5–8.0. Prior to depuration, the levels of faecal indicator bacteria (<230 MPN/100 g) and toxic metals including Pb (2 mg/kg) and Cu (3 mg/kg) were above the acceptable limits. Other metals such as Ni, Co, Fe, Mn and Zn were also investigated. The results of the investigation pointed out that, both the depuration methods could significantly (p < 0.01) reduce the bacterial and heavy metal contamination from oyster samples, though there was no significant difference between the two methods with respect to efficacy (FDDS and FTDS). Significant differences were also found in reduction of toxic metals such as Pb and Cu (p < 0.05) as a function of depuration duration. To reduce the toxic Pb levels to the acceptable limit, 16 h of depuration was required in FTDS whereas FDDS oysters required 48 h of depuration. The FTDS and FDDS required 24 and 36 h of depuration respectively to reach the acceptable limit of E. coli. Visualisation by PC plots clearly separated the investigated samples according to depuration method and duration, thus indicating the effect of treatment methods on depuration. We recommend FDDS for bacterial and heavy metal depuration in oysters owing to its comparatively lower cost, even though FTDS depuration was faster in reducing the bacterial and metal contents in oysters.
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    WHAT DETERMINES MIGRATION OF SHEEP FLOCKS? EVIDENCES FROM THAR DESERT OF RAJASTHAN
    (Indian Journal of Small Ruminants, 2021) Khem, Chand; B.B., Choudhary; A., Suresh; A.K., Mishra; M.K., Gaur; Singh, Priyanka; M., Louhaichi
    Based on primary data collected from 250 households rearing sheep, the socio-economic determinants of sheep migration and major constraints faced by them in arid region of Rajasthan was investigated in the year 2013-14. Pucca house, electricity and veterinary services in the villages significantly restrained the migration decision of households. The migratory households had significantly larger flock size (109 sheep) and more adult members (2.08) in the family than non-migratory ones. The major constraints faced by the households in sheep rearing were poor availability and high cost of feed and fodder, veterinary services and uncertainty of rainfall. Systematic public investment in strengthening common grazing lands would be an imperative for sedentarization of migrating populations.
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    Facial sexual dimorphism in largescaled terapon Terapon theraps Cuvier, 1829, with special reference to geometric morphometry
    (Indian Council of Agricultural Research, 2021) R. K. RENJITH; A. K. JAISWAR; S. K. CHAKRABORTY; A. T. LANDGE; G. B. SREEKANTH; K. K. RAMTEKE
    Facial sexual dimorphism of Terapon theraps Cuvier, 1829 was studied through geometric morphometric method. Twenty-four landmark based morphometric distances, acquired from lateral side of head, were subjected to canonical discriminant analysis (CDA) to understand facial sexual dimorphism in the species. Scatter plot of canonical factors differentiated male and female based on measurements associated with jaws, opercle and pectoral fin. Discriminant function analysis (DFA) described sexes with 28.76% error. The study showed that geometric morphometry based sexual differentiation in fishes with no external characters is a promising tool.
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    Socio-economic determinants and adoption of pest management practices in cashew farming: A study in Dakshina Kannada, Karnataka
    (2018) Sajeev, M.V.; Saroj, P.L.
    The existing technology utilization status and its socio-personal and economic determinants with respect to adoption of recommended pest management technologies were studied among cashew farmers in Dakshina Kannada district of Karnataka by using an ‘ex-postfacto cause to effect’ design. The findings denoted poor adoption index (20) with particularly high non-adoption for pest management of cashew stem and root borer (CSRB). The correlation analysis identified seven variables viz., farming experience (years), extension participation, importance given to cashew crop, number of yielding cashew trees, expenditure incurred in agriculture, net income from agriculture and net income from cashew farming as having significant relationship with farmers’ adoption of pest management technologies. The regression analysis revealed three variables, the age of cashew farmer, their primary occupation and farm size as contributing significantly in explaining the adoption of pest management technologies. The variables used in the study could together explain up to 60 per cent variability in adoption of pest management technologies. The stepwise regression model developed to predict adoption rate of pest management practices explained up to 46.4 per cent of the variation in adoption of pest management technologies using the predictors; number of cashew trees (X1), years of experience in farming (X2), ICT usage (X3), primary occupation of farmer(X4), income from agriculture (X5) and age of the farmer (X6). Understanding the technology utilization process in cashew can help researchers and development agencies working in cashew sector to evolve better technologies for pest management.
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    Risk management in rainfed agriculture: an analysis of strategies and adaptations followed by farmers in Madhya Pradesh
    (2018) Raghavendra, K.J.; Suresh, A.
    Madhya Pradesh is the major producer of soybean in India. Being predominantly rainfed, the state faces high risks in its cultivation. The study undertook a primary survey in Madhya Pradesh to analyze the risk perception of farmers, elucidate the strategies followed by farmers to adapt with the risk and to identify the factors influencing their adoption. The results infer that late onset of monsoon, erratic rainfall and pest and diseases were the major risks. The major risks were related to untimely rainfall, drought and biotic factors like diseases and pest. The major adaptation strategies adopted were intercropping (49%), crop insurance (45%), micro irrigation (17%) and varietal diversification (39%). The study discerns need to develop drought tolerant varieties for rainfed regions, low cost micro-irrigation systems, enhanced credit availability to the farmers and promotion of crop insurance to adapt with production risks.