ISSN : 0975-3710
EISSN : 0975-9107
A.A. SHAHANE1*, U.K. BEHERA2
1Department of Agronomy, College of Agriculture, Kyrdem Kulai, 793105, Meghalaya, Central Agricultural University, Imphal, 795004, Manipur, India
2Dean, College of Agriculture, Kyrdem Kulai, 793105, Meghalaya, Central Agricultural University, Imphal, 795004, Manipur, India
* Corresponding Author : amitiari89@gmail.com
Received : 04-11-2022 Accepted : 27-11-2022 Published : 30-11-2022
Volume : 14 Issue : 11 Pages : 11850 - 11852
Int J Agr Sci 14.11 (2022):11850-11852
Keywords : DA-61-1, RCM-76, Dry matter partitioning, Land configuration
Academic Editor : Dr Jay Bhavsar
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agronomy, College of Agriculture, Kyrdem Kulai, 793105, Meghalaya, Central Agricultural University, Imphal, 795004, Manipur, India for research funding
Author Contribution : All authors equally contributed
The field experiment was conducted at Instructional Farm of college of Agriculture (CAU-I), Kyrdemkulai, Meghalaya (25°74’ N latitude, 91°81’ E longitude and 700 meter above mean sea level) in split plot design involving three land configuration (Flat bed (FB), Furrow irrigated raised bed (FIRB) and ridges and furrow (RF) as main plot and four maize varieties (RCM-76, RCM-75, DA-61-A and RCM 1-2) as sub-plot treatments in kharif season of 2020-21.Result showed that, ridges and furrow found superior in terms of survival of plant as well as dry matter production for all four varieties tested. Increase in dry matter at in RF was 1.1-2.6 g/plant for shoot, 0.4-0.9 g/plant for root, 0.1-0.4 g/plant for leaf, 0.3-0.5 g/plant for tassel and 3.0-6.9 g/plant for cob over other land configurations. Maize variety DA-61-A and RCM-76 grown in RF found superior in survival and plant producing cods and tassel with survival of 64.9-65.5 % plant population at harvest; while 49.1-53.4 % and 33.3-36.2 % plant produce tassel and cobs, respectively. For dry matter production, RCM-76 sown in RF found superior 0.6-2.6g/plant and 1.0 -10.6 g/plant higher dry matter than rest of varieties grown in same land configuration at 60 DAS and at harvest, respectively
1. Directorate of Economics & Statistics, Government of Meghalaya (2019) Handbook on area, production and yield of principal crops in Meghalaya, 2019 (including land use statistics and irrigation statistics), Directorate of Economics and Statistics, Government of Meghalaya, India
2. Guhathakurta P., Bhagwat P.P., Satpute U.S., Menon P., Prasad A.K., Sable S.T., Advani S.C. (2020) Observed Rainfall Variability and Changes over Meghalaya State. Met Monograph No.: ESSO/IMD/HS/Rainfall Variability/17(2020)/41.
3. Singh A.K., Ngachan S.V., Munda G.C., Mohapatra K.P., Choudhury B.U., Anup Das, Srinivasa Rao Ch., Patel D.P., Rajkhowa D.J., Ramkrushna G.I., Panwar A.S. (2012) Carbon Management in Agriculture for Mitigating Greenhouse Effect. ICAR Research Complex for NEH Region, Umiam-793 103, Meghalaya, India, 70-82
4. Prokop P. (2014) The Meghalaya plateau: Landscapes in the abode of the clouds In: Landscape and landforms of India (Kale V.S. Edn). World Geomorphological Landscapes, Springer Science+Business Media Dordrecht
5. Choudhary V.K. (2016) Agronomy Journal, 108(5), 2147-2157.
6. Halli H.M., Angadi S.S. (2019) Journal of Farm Science, 32(4), 397-402.
7. Layek J., Ramkrushna G.I., Suting D., Ngamgom B., Krishnappa R., De U., Das A. (2016) Indian Journal of Hill Farming, 29(2), 124-129.
8. Ramkrushna G.I., Das A., Layek J., Babu S., Verma B.C., Patel D.P., Krishnappa R., Savita S., Ngachan S.V. (2018) Indian Journal of Agricultural Sciences, 88(5), 766–770.
9. Choudhary V.K., Suresh Kumar P. (2013) International Journal of Plant Production, 7(2), 167-186.
10. Tian L., Bi W., Liu X., Sun L., Li J. (2019) Acta Physiologiae Plantarum, 41, 63.
11. Wang Y., Guo T., Qi L., Zeng H., Liang Y., Wei S., Gao F., Wang L., Zhang R. and Jia Z. (2020) Agricultural Water Management, 234, 106144.