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Varghese, Cini
- Statistical Evaluation of Fodder Trees Under an Agroforestry System
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Indian Forester, Vol 137, No 1 (2011), Pagination: 113-120Abstract
Fodder trees in agro-forestry system are planted to overcome the effects of the seasonal shortages or to insure against risks of drought and also to deliver benefits such as shelter, soil conservation, timber and fuel wood. An attempt was made to investigate the performance of fodder trees in the presence and absence of crops. The data pertaining to growth parameters and biomass parameters of the four fodder trees from an agro-forestry experiment for six years (1999-2005) was analyzed. Contrast analysis has been performed to study the performance of the different tree species with and without crops. The combined analysis of the tree data over the years was also performed.Keywords
Fodder Trees, Crops, Agro-forestry, Contrast Analysis, Combined Analysis- Experimental Designs for the Selection of Integrated Farming System Components
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Authors
Affiliations
1 Post Graduate School, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi 110 012, India., IN
2 Division of Design of Experiments, ICAR-Indian Agricultural Statistics Research Institute, Pusa, New Delhi 110 012, India., IN
3 Division of Fishery Resources Assessment, Economics and Extension, ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
1 Post Graduate School, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi 110 012, India., IN
2 Division of Design of Experiments, ICAR-Indian Agricultural Statistics Research Institute, Pusa, New Delhi 110 012, India., IN
3 Division of Fishery Resources Assessment, Economics and Extension, ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
Source
Current Science, Vol 124, No 9 (2023), Pagination: 1053-1057Abstract
Integrated farming system (IFS) approach is a powerful tool for ensuring the livelihood security of small and marginal farmers. The precision of IFS experiments can be enhanced using statistical and computational tools. Two-part designs are helpful in selecting the best possible components in IFS. They involve two groups of treatment arranged in incomplete blocks with respect to both groups, and the concurrence of treatment pairs within and between groups is constant. The fusion of two incomplete block designs in a systematic manner can yield two-part designs. Further, for situations where certain experimental units are not available, two-part structurally incomplete designs are proposed.Keywords
Block Designs, Integrated Farming System, Live-Lihood Security, Small and Marginal Farmers, Two-Part Designs.References
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