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Ranbir Singh Rana Bhosale Arjun Vaijinath Sanjay Kumar Ranu Pathania

Abstract

Field experiments were conducted during rabiseason of 2007-08 and 2008-09 to study the phenology, thermal indices and its subsequent effect on dry matter accumulation of mustard (Brassica juncea L.) varieties viz., RCC-4, Kranti and Varuna grown under varying environmental conditions of Himachal Pradesh. The early sown (10th October) crop varieties took maximum average growing degree days for flower initiation (492±1), 50% flower-ing (682±1), pod initiation (742±1), 90% pod formation (811±4) and maturity (1394±8) which decreased with subse-quent delay in sowing time and recorded lowest under late sown (9th November) crop. The accumulated helio-thermal units and photo-thermal units decreased from 9824 to 7467 oC day hour and 19074 to 15579 oC day hour, respectively. High heat-use efficiency was obtained under late sown condition on 30th October. The heat-use efficiency (HUE) was high at 90% pod formation stage as compared to other stages in all the varieties and sowing dates (except 9th November sowing). The early sown (10th October) crop had maximum calendar days and cumula-tive pan evaporation (158 days and 448.2 mm) followed by normal (20th and 30th October) (153 days and 434 mm) and late (9th November) (138 days and 403.1 mm) sown crop indicating higher water requirement under early sow-ing. The predictive regression models explained 83-85% variation in dry matter yield in three varieties of mustard. The agro climatic indices are important determinants for temperature, radiations and photoperiods behaviors of crop. The accurate predictions of crop phenology are useful inputs for crop simulation modeling and crop management, and used for climate change assessment and simulated adaptations in present scenarios.

Article Details

Article Details

Keywords

Agro-climatic indices, Crop phenology prediction models, Mustard

References
Anonymous, (2013a). Vision 2050. Project Director, Directorate of Oilseeds Research, Rajendranagar Hyderabad.pp:1-5.
Anonymous (2013b). United States Department of Agriculture Report, 2013 (www.usda.gov/portal/USAD/accessed 27102016.
Anonymous (2013c). Brief facts of Himachal Pradesh. Economics and Statistics Department Himachal Pradesh. pp:21.
Adak, T. and Chakravarty, N.V.K. (2010). Quantifying the thermal heat requirement of Brassica in assessing biophysical parameters under semi-arid microenvironments. Int. J. Biometeorol., 54: 365-377
Adak, T., Chakravarty, N.V.K. and Saxena, R. (2009) Growth and yield prediction in mustard using Info Crop simulation model. J. Agrometerorol., 11 (2): 156-161
Dhaliwal, L.K., Hundal, S.S., Kular, J.S., Aneja, A. and Chahal, S.K. (2007). Accumulated heat units requirements for different phenophases of raya (Brassica juncea L.) as influenced by sowing dates Ind. J. Crop Sci., 2:103-105
Kaur, P., Khehra, M.K. and Hundal, S.S. (2006). Development of thermobased phenophasic model for predicting phenological stages of Indian mustard (Brassica juncea) in central plains of Punjab. Ind. J. Agric. Sci., 76(6): 377-379
Kour, M., Singh, K.N., Singh, Mahinder., Thakur, N.P. and Kachroo, D. (2010). Phenophase prediction model for wheat (Triticum aestivum) growth using agrometeorological indices sown under different environments in temperate region of Kashmir. J. Agrometerorol., 12(1): 33-36
Krishnamurthy, L. and Bhatnagar, V.B. (1998). Growth analysis of rainfed mustard (Brassica juncea L.) Crop Res. 15(1): 43-53
Merle, F.V., Anderson, R.L. and Beard, W.E. (1997). Base temperature and growing degree hour requirement for the emergence of canola. Crop Sci., 37:844-849
Miller, P.R., Johnston, A.M., Brandt, S.A., McDonald, C.L., Derksen, D.A. and Waddington, J. (1998). Comparing the adaptation of sunola, canola and mustard to three soil climatic zones of Canadian prairies. Can. J. Plant Sci., 78 (4):565–570
Nanda, R., Bhargava S.C., Tomar, D.P.S. and Rawson, H.M. (1996). Phenological development of Brassica campestris, B. juncea, B. napus and B. carinata grown in controlled environments and from 14 sowing dates in the field. Field Crops Res., 46: 93-103
Prasad, R., Rana, R.S. and Manan, J. (2005). Heat summation indices and wheat phenology in mid hill rainfed region of H.P. J. Agrometerorol., 7(2):274-278
Rana, R.S., Bhosale, A.B., Sood, R., Sharma, R. and Navell C. (2011). Simulating impact of climate change on mustard (Brassica juncea) production in Himachal Pradesh. J. Agrometerorol., 13(2):104-109
Rao, V.U.M., Singh, D. and Singh, R. (1999). Heat use efficiency of winter crops in Haryana. J. Agrometerorol., 1(2)143-148
Roy, S., Meena, R.L., Sharma, S.C., Kumar, V., Chattopadhyay, C., Khan, S.A. and Chakravarty, N.V.K. (2005). Thermal requirement of oilseed Brassica cultivars at different phenological stages under varying environmental conditions. Ind. J. Agric. Sci., 75 (11):717–721
Roy, S. and Chakravarty, N.V.K. (2007). Phenological developments and biomass partitioning in Brassica as influenced by weather conditions. J. Agrometerorol., 9(2): 216-222
Tripathi, M.K., Rao, V.U.M. and Singh, D. (2007). Effect of sowing time and in season growth manipulations on phenology of Indian mustard (Brassica juncea). Indian J. Agric. Sci., 77(4): 253-257
Wurr, D.C.E., Fellows, J.R. and Phelps, K. (2002). Crop scheduling and prediction-Principles and opportunities with field vegetables. Advances in Agronomy, 76:201-34
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Research Articles

How to Cite

Forecasting phenology of mustard crop in North-western Himalayas. (2017). Journal of Applied and Natural Science, 9(1), 230-236. https://doi.org/10.31018/jans.v9i1.1178