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2006 - 200912010 - 20121
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Author: KAU × End date: 2012 × Type: Thesis × Rating Count: 5 ×
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    ThesisItemOpen Access
    Divergence studies in salad cucumber (cucumis sativus L)
    (Department of Olericulture, College of Agriculture, Vellayani, 2006) Smitha Sara, Abraham; KAU; Gopalakrishnan, T R
    The present investigation on “ Divergence studies in salad cucumber (Cucumis sativus L)” was conducted at College of Horticulture, Vellanikkara, Thrissur during December 2005- April 2006. Twenty-eight salad cucumber genotypes collected from different parts of India were utilized for the study. The extent of variability, correlation between yield and its component characters, path analysis and divergence among 28 genotypes were assessed. The 28 genotypes were significantly different for 15 characters studied. The genotype Phule Himangi (20.22 kg/plot) emerged as high yielder followed by AAUC 2 (15.11 kg/plot). Selection of plants based on yield/plot was observed to be efficient than selection of component characters. All the accessions were prickled on the surface. All were monoecious and produced yellow flowers. Most of the genotypes produced light green fruits whereas Phule Himangi produced white stout fruits. Genotypes CS 25 and CS 35 were comparatively free from biotic factors except mosaic and serpentine leaf miner. Total yield per plot showed positive correlation with fruits per plant, duration of crop and number of harvests. Negative correlation was observed between total yield per plot and number of branches. It is clear from the study that, for obtaining higher yield characters like fruits per plant, duration of crop, number of harvests etc should be considered in the selection programme. Fruits per plant had maximum positive direct effect on total yield per plot. Higher positive effects for days to first male flower anthesis was observed on total yield per plot. The genotypes were grouped into 5 clusters based on Mahalanobis D2 statistics. Cluster I, II, III, IV and V contained 13,8,4,2,1 genotypes respectively. Inter-cluster distance was maximum between cluster II and V (48733.77) and minimum between cluster I and III (8415.55). Cluster V showed maximum average inter-cluster distance with any another cluster.
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    ThesisItemOpen Access
    Socio-economic vulnerability and adaptive strategies to environmental risk: a case study of water scarcity in agriculture
    (Department of agricultural economics, College of horticulture, Vellanikkara, 2012) Rinu T, Varghese; KAU; Indira Devi, P
    Water stress is predicted as one of the most pronounced risk of climate change in countries like India. Kerala is reported as moving from wetness to dryness. Management of risks of climate change necessitates scientific estimates of the level of potential damage, accommodating for the vulnerability and adaptive mechanisms of the communities. The study entitled ‘Socio-Economic Vulnerability and Adaptive Strategies to Environmental Risk: A Case Study of Water Scarcity in Agriculture’ was undertaken with the objectives of measuring farmers’ vulnerability to water stress in agriculture and its impact on household welfare and to identify and assess the relative influence of various factors on the level of vulnerability. Further, short term and long term adaptive strategies to water stress among farmers of different socioeconomic conditions were also analysed. The most backward district of the state of Kerala, Wayanad was selected as the study area. Multistage random sampling method was adopted for sample selection. Nine panchayats from four Community Development Blocks were selected, from each of which, 15 farmers were selected. Thus the total sample size was 135. Primary data regarding the socio-economic status, land use pattern and production, sources of water for domestic use and irrigation, perceptions and adaptive strategies to water scarcity were gathered using pretested interview schedule. Indicator based approach was used for constructing the composite vulnerability index to assess the vulnerability level of the farmers. Logit model was employed to identify the factors influencing vulnerability. Apart from these, conventional tabular analysis was also used. The cropping pattern in Wayanad shows a clear shift in favour of commercial crops like arecanut, banana and rubber. The conversion of paddy lands for these crops was to the tune of 41 per cent during the last decade. The area under pepper shows a decline (54 %) and that of other commercial crops show an increase. Among other reasons, climate change is perceived as one of the major reasons for this decision by the farmers. The analysis of weather parameters and climate predictions for Wayanad also supports the farmer level observation. The rainfall and temperature pattern of the district during past years indicate an increasing level of water stress. Climate change models project very high variation in the rainfall pattern of the district in future years. An increase in the average annual rainfall coupled with lower levels of summer showers are predicted. By 2020, summer showers may decline to 43.6 mm as against the present, 70 mm. High intensity rains with low duration will be the major characteristic. A gradual increase in annual temperature by about 1.5ºC is also predicted. In this background, a composite vulnerability index considering social, economical and agronomic factors of the farmers was constructed to measure the vulnerability. More than 50 per cent of farmers were highly vulnerable and the proportion of the farmers in that group was found to be increasing during the past five years. An inverse relationship was observed between the land holding size and vulnerability level, three- fourth of the marginal farmers were vulnerable while most of the small and large farmers (41.27 % and 34.78 % respectively) belonged to the other group. Thavinjal panchayat of Manathavady block was found to be the most vulnerable and Muppainad and Vythiri panchayats of Kalpetta block were found to be the least vulnerable. The results of the logit model shows that five out of eight factors viz. diversity index, cropping intensity, percentage of irrigated area to total cropped area, net cropped area and education as having significant influence on the probability of an agricultural household being vulnerable, of which the diversity index and cropping diversity are the most influential factors. Farmers often have their own adaptive mechanism to cope with the water stress condition within the constraints. In general, adaptation strategies followed in domestic and agricultural sector can be classified into supply management strategies and demand regulating strategies or long term and short term strategies. The supply management programme includes those activities which ensure the steady supply of water and the demand side management mainly focus on more efficient use of available water resources and improving water resources. Among the respondents, a gradual shift from the dependence on external sources of water to owned sources has occurred. The dependence on external sources increases the time spent and drudgery of women folk in such households. Common adaptation strategies followed by the farmers include irrigation, varietal selection, mixed cropping, crop diversification, organic farming, soil and water conservation measures (mulching, earthen bunds and rain pits) and migration (geographical and sectoral). About 39 percent of the sample respondents were adopting irrigated farming and the average expenditure was found to be Rs 18187 per household which is nearly nine percent of the total household income. Only a few farmers were adopting micro-irrigation methods because of its high investment. This cost of adaptation, further reduces their consumption expenditure leading to household welfare loss. The study suggests research interventions in developing a sustainable cropping pattern and scientific validation with location specific studies on the impact of climate change on major crops. The need for empowering the farmers through technology, infrastructure, financial and extension support to adapt to water stress is also underlined. It highlights the importance of water resource development and the need for identifying the constraints in the adoption and develop/modify the technologies to suit local conditions. Further the implementation of weather based crop insurance programmes with localised meteorological stations as reference points is also stressed.