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DocumentPropagation and growth from seeds and root segment cuttings of fruit tree-plus Diospyros mespiliformis (Ebenaceae) in Benin West Africa
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The aim of the present experiment was to assess effectiveness of selected propagation methods, early nursery and field performance of D. mespiliformis (Ebenaceae). For instance, effects of seed pretreatment/root segment cuttings diameter, provenance and soil types on germination and growth vigor of the species was investigated using 144 seeds/root segment; laid in 500 g of three different soil types and soaked/planted in polyethylene bags replicated four times in three treatments and laid in 4×3×3 factorial Completely Randomized Design. Emergence of radicle (days), Seedlings/Shoot Height (cm), number of leaves, and Percentage survival were recorded two weekly for a period of 7 months. Time to event seed germination/shooting data analysis, ANOVA two ways and Generalized Mixed effects Model were used to assess effects of origin, pre treatment/diameter and soil types on germination, shooting and growth of Diospyros mespiliformis. Results indicated that propagation of the species can best be done through seeds and root cuttings. The essay revealed that seeds from woodland, savannah and parkland, sowed in compost and clay and pre treated (boiled water, tegument removed) had the highest germination percentage (69.9-86.67 %), while seeds in the control (no treatment, Inundated Forest and sandy) had very low germination of 17-35 %. No seed treatment showed deficiency in the survival and germination of the seeds of Diospyros mespiliformis, while borehole water aided the survival and bring back early (rapid) germination. Regarding RSC, leafy shoots formed percentage varied from 0 % in river sand to 64.6% in clay and compost substrate after 12 weeks. Results reveal also that among the three classes of diameter, shooting height decreases from clay to sandy while the same variable move in inverse order regarding RSC origin. Keywords: Adaptive and integrated management, Biodiversity conservation, Genetic resources, Research, Sustainable forest management ID: 3477094 -
ArticleLand use and land use changes by the farmers from mulberry (Morus alba) plantations to green forest tree based farming for income growth and sustainability in Malda district of India
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Malda district was famous for two economic activities viz. Mango (Mangifera indica) cultivation and rearing mulberry silkworm (Bombyx mori). Earlier silkworm rearing was a flourishing cottage industry and every households of Kaliachak block reared silkworm for cocoon production. It was the major livelihood of rural farmers but they suffered heavily due to cheap import of silk from China. Thus, the backbone of farmers was crippled, hence they started cultivating various trees in mulberry fields along with agricultural crops for sustaining their livelihood. Present study was undertaken to know how farmers adjusted to new situation, their knowledge about trees, income growth and sustainability. It was observed that mulberry was raised as herb and leaves were fed to the silkworm larvae at home. Traditionally farmers planted Dalbergia sissoo trees on the border of mulberry fields but later on they started planting other trees. A few farmers uprooted their mulberry bushes and converted to Swietenia macrophylla plantation. Some farmers converted their entire land to Mango and Litchi chinensis orchards for long term gains. Besides, some traditional farmers, around 10% still continued with silkworm rearing for their livelihood security but planted few rows of trees like Tectona grandis, D.sissoo, Bombax ceiba, S.macrophylla and Acacia auriculiformis. Few big farmers converted their mulberry fields into ponds for fishery, however, planted Mango and Sissoo on border. The first crops inside the tree plantations were Maize, Papaya and Vegetables which gave farmers quick income. Later, Banana and Citrus were planted. These activities are still continuing, but timber harvesting has also started which will give high returns. These forest tree based land changes not only provided sustainable income growth to farmers, but also made them drought resilient leading to climate change mitigation and adaptation besides conserving plant biodiversity. Key words: Landscape management, Agriculture, Biodiversity conservation ID: 3475637 -
DocumentGrowth estimation of standing trees using artificial intelligence
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Growth assessment in an ecosystem is an essential element in management and decision making. Such an exercise helps in development and biodiversity management in a natural ecosystem. The assessment process, however, demands time and manpower. Developing an automated tool not only helps in saving the above-mentioned resources but also in expanding the area of coverage for assessment. We are developing an artificial intelligence based tool using image data for growth assessment. The method will be demonstrated in plantations of eucalyptus and teak. The plantations are established in straight lines using a single species of trees. It can be assumed that the trunk texture of these trees is similar while the shape can be different. Estimating the standing timber volume is important to assess the growth, harvestable timber volume, and plan on the transportation logistics of harvested timber. Every tree must be manually measured in the existing method of volume calculation demanding time and manpower. These costs can be cut down while maintaining the accuracy using images processed with statistical learning methods such as Convolutional Neural Network. The plantations will be partitioned into grids and digital images will be taken from the edges of this grid. These RGB digital images will be processed to determine the growth parameters such as girth at breast height, height, and tapering of the trees. Transfer Learning is to be used in modifying the existing neural network in identifying 3D shapes of individual objects from 2D images, multi-spatial depth estimation, and volume determination. A cost-effective automated tool to estimate the timber volume of standing trees in real-time will be developed. While estimating the volume by this method, a significant amount of time and manpower can be saved without compromising the accuracy compared to the conventional method. Keywords: Monitoring and data collection, Adaptive and integrated management, Innovation, Policies, Research ID: 3621691
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