AGROMETEOROLOGICAL INDICES IN RELATION TO PHENOLOGY AND GRAIN YIELD OF RICE UNDER DIRECT SEEDED CONDITIONS

B. VIBHAJAM SAGAL KIRAN¹*, V.R.K. MURTHY², M. SREE REKHA^3
1Department of Agronomy, Acharya N. G. Ranga Agricultural University, Lam, Guntur, 522034, Andhra Pradesh, India
²Department of Agronomy, Acharya N. G. Ranga Agricultural University, Lam, Guntur, 522034, Andhra Pradesh, India
³Department of Agronomy, Acharya N. G. Ranga Agricultural University, Lam, Guntur, 522034, Andhra Pradesh, India
* Corresponding Author : sagalkiran94@gmail.com

Received : 01-09-2020     Accepted : 18-09-2020     Published : 30-09-2020
Volume : 12     Issue : 18       Pages : 10188 - 10191
Int J Agr Sci 12.18 (2020):10188-10191

Keywords : Weather Health Indices, Heat Units, AGDD, HTU, PTU
Academic Editor : Darshan S.
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agronomy, Acharya N. G. Ranga Agricultural University, Lam, Guntur, 522034, Andhra Pradesh, India. Authors are also thankful to Department of Science and Technology (DST), Govt. of India, New Delhi for providing grant for conducting the present experiment in the form of INSPIRE fellowship
Author Contribution : All authors equally contributed

Field experiment was conducted during kharif seasons of 2017 and 2018 at College farm, Agricultural College, Bapatla, India to study the agrometeorological indices / weather health indices viz., Accumulated growing degree days (AGDD), Heliothermal units (HTU), Photothermal units (PTU) and Heat use efficiency (HUE) relation to phenology and grain yield of three rice varieties (BPT-5204, NLR-145 and NLR-34449) with different levels of nitrogen (60, 80, 100 and 120 kg N ha-1) under direct seeded conditions. The rice variety BPT-5204 took maximum calendar days to attain physiological maturity compared to other varieties. Results revealed that, from emergence to physiological maturity AGDD (2773°Cday), HTU (11763°Cdayhour), PTU (32822°Cdayhour) and HUE (2.32 kg ha-1 °C day-1) was found to be highest in the variety BPT-5204 followed by NLR-145 and NLR-34449 varieties. Similarly, the heat units required to attain different phenological stages differed in all varieties with different levels of nitrogen. Highest AGDD, HTU, PTU and HUE were attained with the application of 120 kg N ha-1 and least with 60 kg N ha-1. Correlation and regression equations indicated significant relationship between weather health indices and grain yields of three varieties. The exponential equations were proved to the best equations for predicting the grain yield in three cultivars. Relationships between accumulated GDD from emergence to maturity and grain yield production were significant, accounting for 99.8% variation in BPT-5204 (Y=-13081 + 6.844 GDD; R2=0.998*), accounting for 99.3% variation in NLR-145 (Y=-8849 + 5.455 GDD; R2 = 0.993**) and accounting for 97.1% variation in NLR-34449 (Y=-7241 + 5.040 GDD; R2 = 0.971**). Thus, all the equations developed are useful for predicting grain yield of rice with the help of GDD, HTU and PTU.

1. Indiastat (2016-17) Ministry of Agriculture, Government of India.
2. Murthy V.R.K. (2016) B.S. Publications, Koti, Hyderabad, Telangana, 111-127.
3. Goswami B., Mahi G.S., Saikia U.S. (2006) Agricultural Reviews, 27(3), 223-228.
4. Priyadarshi D.S., Mohapatra A.K.B., Pasupalak S., Baliarsingh A., Rath B.S., Nanda A., Panigrahi G.S., Pradhan J. (2018) International Journal of Chemical Studies, 6(5), 3298-3302.
5. Nachimuthu G., Velu V., Malarvizhi P., Ramasamy S., Sellamuthu K.M. (2007) American Journal of Plant Physiology, 2(3), 214-220.
6. Iwata F. (1984) Oxford and IBH (Gupta, U.S. Ed), 351-370.
7. Nuttonson M.Y. (1955) American Institute of Crop Ecology, Washington D.C. 338.
8. Wasserman L. (2004) A Concise Course in Statistical Inference, Springer, New York, USA.
9. Bhat T.A., Ahmad L., Kotru R. (2015) Journal of Agrometeorology, 17(1), 90-97.
10. Kaur S., Singh S.P. Kingra P.K. (2016) International Journal of Bio-resource and Stress Management, 7(4), 870-876.
11. Praveen K.V., Patel S.R., Choudhary J.L., Bhelawe S. (2014) Journal of Earth Science & Climatic Change, 5(1), 165-168.
12. Sreenivas G., Reddy M.D., Reddy D.R. (2010) Journal of Agrometeorology, 12(2), 241-244.
13. Abhilash, Chander Shekhar D., Singh R., Premdeep, Sharma R. (2017) International Journal of Current Microbiology and Applied Sciences, 6(3), 212-222.
14. Hundal S.S., Kaur P., Dhaliwal L.K. (2006) Journal of Agrometeorology,7(2), 255-261.
15. Padma S., Subbaiah G. (2016) Progressive Research-An International Journal, 11(8), 5378-5381.
16. Gill K.K., Kiran R., Paul S. (2014) Indian Journal of Ecology, 41(2), 257-261.
17. Parbat S.K., Giri R.K., Singh K.K, Baxla A.K. (2014) International Research Journal of Engineering and Technology, 3(2), 1636-1647.