Refine your search
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
, Punam
- Progeny Performance of Plus Trees of Toona ciliata M. Roem. under Nursery and Field Conditions
Abstract Views :277 |
PDF Views:0
Growth
Authors
Source
Indian Forester, Vol 135, No 1 (2009), Pagination: 92-98Abstract
Progenies of 25 seed sources (plus trees) of Toona ciliata (Toon) collected from different seed zones of Himachal Pradesh were evaluated under nursery and field conditions. Analysis of variance for seedling height, collar diameter and number of leaves indicated significant mean squares for all the characters studied under nursery conditions. Seedling height and collar diameter after 120 days of sowing exhibited high heritability (broad sense) coupled with high genetic advance. Under field evaluation, seed sources viz. S1, S2, S5 and S6 exhibited faster growth rate based on the values of growth parameters.Keywords
Toona ciliata (Toon), Plus Tree, Progeny Performance, Genetic Variation, AnnualGrowth
- Effect of Tree Age Class and Storage on Germination Behaviour of some Important forest Tree Species of North-western Himalayas
Abstract Views :271 |
PDF Views:0
Authors
Source
Indian Forester, Vol 128, No 6 (2002), Pagination: 660-666Abstract
Significantly higher germination in Albizia species was achieved within first eight days, when seeds of middle (32-48cm dbh) and mature (48-64cm dbh) trees i.e., of age class B or C, stored for six months were treated with acid and kept at 30οC temperature conditions. In case of Acacia catechu, the seeds of mature tree (16-24cm dbh) i.e. age class C stored for a period of three or five months, treated with acid and germinated at 30οC brought about significantly maximum increase in germination within only first six days. Irrespective of age class and incubation temperature, the seeds of Alnus nitida stored for a period of four months and treated with cold water showed significantly maximum germination within first fourteen days. A gradual but significant increase in germination tiJ1 fourteen days was noticed in seeds of Dalbergia sissoo which were stored for a period of six months, treated with cold water and incubated at 30οC temperature condition. The various tree diameter age classes had no significant effect on germination in seeds of Alnus and Dalbergia sissoo species.- Effect of Micro Site Variations on the Phenological Studies of Himalayan Shrubs - Woodfordia, Carissa, Prinsepia and Debregeasia
Abstract Views :263 |
PDF Views:0
Authors
Source
Indian Forester, Vol 132, No 2 (2006), Pagination: 211-220Abstract
A phenological study was carried out to know the effect of micro-zonal variations on the different phenophases like flowering, fruiting, seed maturation and seed dispersal etc. of four important multipurpose shrubs of Himachal Himalayas i.e., Woodfordia, Carissa, Prinsepia and Debregeasia species. Flowering phase was enhanced in Woodfordia and Debregeasia species at certain sites due to minute temperature variations.- Mapping of Agroforestry Systems and Salix Species in Western Himalaya Agroclimatic Zone of India
Abstract Views :178 |
PDF Views:110
Authors
R. H. Rizvi
1,
R. Vishnu
2,
A. K. Handa
2,
S. Ramanan
2,
M. Yadav
2,
A. Mehdi
2,
R. K. Singh
3,
S. Londhe
3,
S. K. Dhyani
3,
J. Rizvi
3,
Punam
4,
Rameshwar Kumar
4,
Naved Qaisar
5
Affiliations
1 ICAR-CSSRI Regional Research Station, Lucknow 226 005, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 World Agroforestry, South Asia Regional Programme, New Delhi 110 012, IN
4 Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, IN
5 Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, IN
1 ICAR-CSSRI Regional Research Station, Lucknow 226 005, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 World Agroforestry, South Asia Regional Programme, New Delhi 110 012, IN
4 Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, IN
5 Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, IN
Source
Current Science, Vol 121, No 10 (2021), Pagination: 1347-1351Abstract
In the present study, agroforestry was mapped in nine districts from Western Himalayan Region. The agroforestry area in these nine selected districts was estimated to be 332127.55 ha (12.4%). Salix alba, an important agroforestry species, accounted for about 12% of total agroforestry area in three districts of Kashmir valleyKeywords
Agroclimatic Zone, Agroforestry Mapping, Object-Oriented Classification, Remote Sensing, Tree Species.Full Text
References
- Bargali, S. S., Bargali, K., Singh, L., Ghosh, L. and Lakhera, M. L., Acacia nilotica based traditional agroforestry system: effect on paddy crop and management. Curr. Sci., 2009, 96, 581–587.
- Parihaar, R. S., Bargali, K. and Bargali, S. S., Status of an indigenous agroforestry system: a case study in Kumaun Himalaya. Indian J. Agric. Sci., 2015, 85, 442–447.
- Unruh, J. D. and Lefebvre, P. A., A spatial database for estimating areas for agroforestry in Sub-Saharan Africa: aggregation and use of agroforestry case studies. Agrofor. Syst., 1995, 32, 81–96.
- Pathak, P. S., Pateria, H. M. and Solanki, K. R., Agroforestry systems in India: a diagnosis and design approach. National Research Centre for Agroforestry (ICAR), New Delhi, 2000.
- Dhyani, S. K., Handa, A. K. and Uma, Area under agroforestry in India: an assessment for present status and future perspective. Indian J. Agrofor., 2013, 315(1), 1–11.
- GoI, Report of the Task Force on Greening India for Livelihood Security and Sustainable Development, Planning Commission, Government of India, 2001, p. 231.
- Zomer, R. J., Trabucco, A., Coe, R., Place, F., van Noordwijk, M. and Xu, J. C., Trees on farms: an update and reanalysis of agroforestry’s global extent and socio-ecological characteristics. Working Paper 179. World Agroforestry Centre (ICRAF) Southeast Asia Regional Programme, Bogor, Indonesia, 2014; doi:10.5716/ WP14064.pdf
- De Mers, M. N., Fundamental of Geographic Information Systems, Wiley, New York, USA, 1997, p. 486.
- Rizvi, R. H., Dhyani, S. K., Newaj, R., Saxena, A. and Karmakar, P. S., Mapping extent of agroforestry area through remote sensing: issues, estimates and methodology. Indian J. Agrofor., 2013, 15(2), 26–30.
- Rizvi, R. H., Ram Newaj, A. K., Handa, K. B., Sridhar and Anil Kumar, Agroforestry mapping in India through geospatial technologies: present status and way forward. Technical Bulletin-1/2019, ICAR-Central Agroforestry Research Institute, Jhansi, 2019, pp. 1–35.
- Rizvi, R. H., Sridhar, K. B., Handa, A. K., Singh, R. K., Dhyani, S. K., Rizvi, J. and Dongre, G., Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana states of Indo-Gangetic plains. Agrofor. Syst., 2020, 94(6), 2185–2197.
- Rizvi, R. H., Newaj, R., Srivastava, S. and Yadav, M., Mapping trees on farmlands using OBIA method and high resolution satellite data: a case study of Koraput district, Odisha. In ISPRSGEOGLAMISRS International Workshop on Earth Observations for Agricultural Monitoring, IARI, New Delhi, 18–20 February 2019.
- Barrile, V. and Bilotta, G., An application of remote sensing: objectoriented analysis of satellite data. Int. Arch. Photogramm. Remote Sensing Spat. Inf. Sci., 2008, XXXVII, 107–113.
- Shah, M., Masoodi, T. H., Khan, P. A., Wani, J. A. and Mir, S. A., Vegetation analysis and carbon sequestration potential of Salix alba plantations under temperate conditions of Kashmir, India. Indian For., 2015, 141(7), 755–761.
- Rizvi, R. H., Sridhar, K. B., Handa, A. K., Chaturvedi, O. P. and Singh, M., Spectral analysis of Hyperion hyperspectral data for identification of mango (Mangifera indica) species on farmlands. Indian J. Agrofor., 2017, 19(2), 61–64.
- Blaschke, T., Lang, S. and Hay, G. J. (eds), Object Based Image Analysis, Springer, Berlin, Germany, 2008, p. 817.
- Quality traits under different farming practices in legume-based cropping systems
Abstract Views :75 |
PDF Views:0
Authors
Affiliations
1 Department of Agronomy CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 Department of Horticulture and Agroforestry, CSK HPKV, Palampur, IN
3 Department of Soil Science, CSK HPKV, Palampur, IN
1 Department of Agronomy CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 Department of Horticulture and Agroforestry, CSK HPKV, Palampur, IN
3 Department of Soil Science, CSK HPKV, Palampur, IN
Source
Himachal Journal of Agricultural Research, Vol 47, No 2 (2021), Pagination: 169-174Abstract
Field experiments were conducted at Organic Farm Holta of Department of Organic Agriculture and Natural Farming, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur during kharif and rabi seasons of 2018-19 and 2019-20 on silty clay loam soil to study the performance of different quality traits under different farming practices in legume-based cropping systems. The experiment was laid out under Split Plot Design with three replications comprising of three sequences in legume – vegetable based cropping system i.e., “soybean – onion”, “okra – peas” and “mash – garlic” under different farming practices i.e., Organic farming, Natural farming, Inorganic and Integrated farming practices.Comparing different farming practices, highest protein content (39.1%) was observed in crops under organic farming practices followed by zero budget natural farming practices (38.3%). Significantly higher protein yield of these crops was also recorded under organic farming practices (449 kg/ha) followed by integrated farming practices (405 kg/ha).Carbohydrate yield (1127 kg/ha) and fat yield (120 kg/ha) of crops were significantly highest in integrated farming practices and inorganic farming practices respectively. “Soybean-onion” cropping system produced significantly highest protein yield (644 kg/ha) and fat yield (300.7 kg/ha) as compared to other cropping systems. However, higher protein content and low carbohydrate and fat were recorded in this system when grown under organic farming practices and was found to be the best amongst all cropping systems and farming practices combinations.Keywords
Cropping System, Farming Practices, Quality, Protein.Full Text
References
- Adewole MB and Ilesanmi AO. 2011. Effects of soil amendments on the nutritional quality of okra. Journal of Soil Science and Plant Nutrition 11(3):45-55.
- AOAC. 2000. Association of Official Analytical Chemists, 17th ED. Of AOAC. International published by AOAC. International Maryland, USA, 1250 pp.
- Bachhav PR and Sabale RN. 1996. Effects of different sources of nitrogen on growth parameters, yield and quality of soybean. Journal of Maharashtra Agriculture University 21 (2):244-247.
- Deshmukh K. K, Khatik SK and Dubey DP. 2005. Effect of integrated use of inorganic, organic and biofertilizers on production, nutrient availability and economic feasibility of soybean grown on soil of Kaymore plateau and Satpura hills. Journal of Soils and Crops 15 (1): 21-25.
- Esmailian Y Ghanbari A, Babaeian M and Tavassoli A. 2011. Influence of organic and inorganic fertilizers and wastewater irrigation on yield and quality traits of soybean. Journal of Agriculture and Environment Science 10 (4): 658-666.
- Goldman IL, Kader AA and Heintz C. 2018. Influence of production, handling, and storage on systems: Ecology and mitigation. Scientia Horticulturae 236:192-206.
- Gomez KA and Gomez AA. 1984. Statistical Procedures for Agricultural Research. John Wiley and Sons, New York p 680.
- Gopalan C, Rama Sastri BV and Balasubramanian. 2007. Proximate Principles: Common Foods. Nutritive Value of Indian Foods p: 47-51.
- Hedge IE and Hofreiter BT. 1962. Carbohydrate Chemistry (Eds Whistler RL and Be Miller JN) Academic Press New York.
- Hoagland L, Ximenes E, Ku S and Ladisch M. 2018. Foodborne pathogens in horticultural production quality in controlled environments. Scientia Horticulturae 234:275-289.
- Hyten DL, Pantalone VR, Sams CE, Saxton AM, Landau Ellis D, Stefaniak TR and Schmidt ME. 2004. Seed quality QTL in a prominent soybean population. Theoretical and Applied Genetics 10: 552-561.
- Javed S and Panwar A. 2013. Effect of biofertilizer, vermicompost and chemical fertilizer on different biochemical parameters of Glycine max and Vigna mungo. Recent Research in Science and Technology 5:40-44.
- Joanne L. Slavin and Beate Lloyd. 2012. Health Benefits of Fruits and Vegetables. Advances in Nutrition 3 (4): 506516.
- Kouris-Blazos and Belski R. 2016. Health benefits of legumes and pulses with a focus on Australian sweet lupins. Asian Pacific Journal of Clinical Nutrition 21(1):1-17.
- Kumar Rameshwar, Punam and Seth Meenakshi. 2020. Productivity and profitability of legume-based cropping systems grown under organic conditions in mid-hills of Himachal Pradesh. Journal of Crop and Weed 16 (2): 117121.
- Kumar Rameshwar, Saini JP, Sharma SK and Seth Meenakshi. 2017. Influence of cereal–legume combination and sources of nutrients on productivity and profitability under organic production system. Indian Journal of Agronomy 62 (3): 275-279.
- Roupharl Y, Kyriacou MC, Petropoulos SA, De Pascale S and Colla G.1999. Improving vegetable phytonutrient content of foods. Nutrition Reviews 57: S46-S52.
- Smukler SM, Jackson LE, Murphree L, Yokota R, Koike ST and Smith RF. 2008. Transition to large-scale organic vegetable production in the Salinas Valley, California. Agriculture Ecosystem Environment 126:168-188.
- Slavin JL and Lloyd B. 2012. Health benefits of fruits and vegetables. Advances in Nutrition 3 (4):506-516.