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  • ThesisItemOpen Access
    Performance assessment of SGSY groups in selected blocks of district Nainital of Uttaranchal with special reference to dairy husbandry
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-08) Sharma, Navneet; Avadhesh Kumar
  • ThesisItemOpen Access
    Assessment of training needs of livestock owners in improved animal husbandry practices - a study in tarai area of Uttaranchal
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2004-07) Gangil, Deepak; Dabas, Y.P.S.
    Need based training is most important and effective means for developing technical and managerial competence of livestock farmers in improved animal husbandry practices. A survey was conducted on 234 livestock owners covering five villages of U.S. Nagar district to study the level of knowledge, training needs of livestock owners in improved animal husbandry practices and relationship of these two variables with socio-economic and communication characteristics of livestock owners. Findings revealed that the knowledge of live stock owners was very poor on identification of infertility and reproductive problems, urea treatment of straw, prevention of mastitis, weaning, castration of male calf, naval cord disinfection, preparation of ice cream, conservation of fodder and importance of maintenance of records. Majority of livestock farmers have intense desire to be trained in the areas like preparation of balanced ration, knowledge about common diseases of animals, first aid treatment, care at calving and weaning. For better participation of livestock owners, trainings should be provided in their own village by the method of lecture followed by demonstration and group discussion, which would ensure more benefits to the livestock owners. Level of knowledge of livestock owners was positively and significantly associated with age, education, land holding, herd size, milk production, milk consumption, milk sale, mass media exposure and extension worker’s contact while non-significantly associated family size of respondents. Training needs of respondents showed positive and significant relationship with their herd size while non significant association was observed with age, education, land holding, milk production, milk consumption, milk sale, mass media exposure and extension worker contact. Therefore these variables should be considered at the time of organization of training programme for livestock owners.
  • ThesisItemOpen Access
    Pattern of adoption of selected dairy technologies by rural households: evidence from tarai area of Uttarakhand
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2008-05) Mishra, Prakash; Bardhan, D.
    The study conducted in tarai region of Uttarakhand stste revealed that adoption rates, in terms of proportion of households which adopted the technologies, were high for AI and vaccination over the years compared to deworming and crossbreeding. However in the last few years disadoption rates have been more for AI relative to other technologies. When the reasons for disadoption and non adoption were analyzed it was revealed that more or less similar reasons were responsible for non-adoption of crossbreeding and AI, viz. cumbersome application method, lack of adequate extension access and financial support. However respondents were aware of these technologies or their benefits. Further, the respondents felt there were adequate incentives for adoption of these technologies because of presence of proper marketing outlets. A nalysis of factors distinguishing between adopters and non adopters of dairy technologies revealed more or less similar results as obtained in the case of factors influencing early adoption. Credit and information access, membership of group and distance to market significantly influenced the adoption of different dairy technologies. It was observed that adoption of dairy technologies significantly increased with the income from dairying, milk production and productivity. Adoption of the technologies also has potential in increasing the household consumption of milk. However, beneficial effects of adoption of dairy technologies were not observed in case of employment generation.
  • ThesisItemOpen Access
    Genetic studies on production and reproduction traits of crossbred dairy cattle
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2008-05) Tasal, Mohammad Shifa; Shive Kumar
    The data of 153 crossbred dairy cows􀂶 progeny of 20 sires for the present study was recorded from the history sheets maintained at Instructional Dairy Farm of G. B. Pant. University of Ag. & Tech., Pantnagar. Among all the traits studied the period had significant effect on age at first calving and first lactation yield. However the season did not affect all these traits. The least square means for age at first calving, first lactation milk yield, first lactation period, first dry period., first service period, first gestation period, first peak yield, days to attain peak yield, first calving interval and herd life milk yield were found as 1134.02±16.53 days, 2523.95±53.46 liters, 318.20±3.09 days, 88.91±2.39 days, 100.60±2.38 days, 271.67±1.39 days, 12.69±0.25 liters, 42.62±1.37 days, 444.32±4.22 days and 11141.09±249.04 liters, respectively. The heritability values for corresponding traits were observed as 0.11±0.37, 0.55±0.308, 0.27±0.254, 0.79±0.209, 0.51±0.176, 0.17±0.232, 0.32±0.263, 0.81±0.347, 0.90±0.357 and 0.78±0.342, respectively. Magnitude of heritability indicated that these traits have sufficient additive genetic variance and could be improved through selection. First lactation milk yield had significant positive phenotypic correlation with first lactation peak yield and herd life milk yield while negative phenotypic correlation with first dry period. Herd life milk yield had significant positive phenotypic relationship with peak yield and calving interval. Positive phenotypic correlations between service period and lactation period, calving interval and service period, calving interval and lactation period were found significant. Age at first calving positively correlated with first lactation period, service period, dry period, peak yield, days to attain peak yield and herd life milk yield on genetic level. However, age at first calving negatively correlated with first lactation milk yield, gestation period and calving interval. First lactation milk yield had positive genetic correlations with all other traits except with first service period. First lactation period positively correlated on genetic level with first service period, days to attain peak yield, first calving interval and herd life milk yield but negatively correlated with first dry period, gestation and peak yield. The positive correlation was observed on phenotypic level between first lactation period, service period and first calving interval. First dry period had positive genetic association with service period, gestation period, peak yield, days to attain peak yield, first calving interval and herd life milk yield but on phenotypic level all these correlations were found non-significant. First service period had positive correlation with days to attain peak yield, first calving interval and herd life milk yield on genetic level but only first calving interval had significant positive correlation on phenotypic level. The first service period had negative correlation with first gestation period and peak yield but these relationships were not significant on phenotypic level. First gestation period had negative genetic correlations with other traits except first peak yield. First peak yield was negatively correlated on genetic level with days to attain peak yield, first calving interval and herd life milk yield. The R2 values considering the explanatory variables as age at first calving, first lactation period, first dry period, first service period, first gestation period, days to attain peak yield and first calving interval, separately, were found to be non-significant. It is concluded that the herd life milk yield can be predicted using first, second, third and fourth lactation milk yield or their combinations as an explanatory variable with sufficient accuracy.