CROP–WEATHER INTERACTION AND CORRELATION ANALYSIS OF SUGARCANE (SACCHARUM SPP.) YIELD IN NORTH COASTAL ZONE OF ANDHRA PRADESH
119 / 95
Authors
-
PADMAVATHI P V
Regional Agricultural Research Station, Anakapalle - 531001 Acharya N.G. Ranga Agricultural University, Lam, Guntur, Andhra Pradesh, India
-
ADILAKSHMI D
Regional Agricultural Research Station, Anakapalle - 531001 Acharya N.G. Ranga Agricultural University, Lam, Guntur, Andhra Pradesh, India
-
RAMANA MURTHY K V
Regional Agricultural Research Station, Anakapalle - 531001 Acharya N.G. Ranga Agricultural University, Lam, Guntur, Andhra Pradesh, India
-
KUMARI M B G S
Regional Agricultural Research Station, Anakapalle - 531001 Acharya N.G. Ranga Agricultural University, Lam, Guntur, Andhra Pradesh, India
-
GOURI V
Regional Agricultural Research Station, Anakapalle - 531001 Acharya N.G. Ranga Agricultural University, Lam, Guntur, Andhra Pradesh, India
Keywords:
Climate variability, Correlation analysis, Meteorological factors, Sugarcane yieldAbstract
Eleven sugarcane clones were evaluated in a randomized block design over two consecutive
plant crop seasons (2022–23 and 2023–24) at the Regional Agricultural Research Station,
Anakapalle, to quantify the influence of key meteorological parameters on cane yield. Pearson’s
correlation analysis of five weather variables – rainfall, number of rainy days, maximum temperature,
minimum temperature and bright sunshine hours (BSSH) – revealed that rainfall, rainy days and
minimum temperature were positively correlated with cane yield (r = +0.273, p < 0.05), while
maximum temperature and BSSH showed significant negative correlations (r = ”0.273, p < 0.05).
Among the clones, 2012A 340 recorded the highest mean yield of 123.84 t/ha, followed by
2012A 319 (123.06 t/ha), while 2013T 124 recorded the lowest (73.84 t/ha). Weather parameters
during the tillering phase were most influential in determining final yield. These results demonstrate
that moderate precipitation and favourable nocturnal temperatures during early crop growth are
critical drivers of productivity in the north coastal zone of Andhra Pradesh, and provide a basis
for developing climate-informed agronomy and clone selection strategies
References
1. Bhatt, R., Majumder, D. and Tiwari, A.K. 2023.
2. Climate-smart technologies for improving
3. sugarcane sustainability in India – a
4. review. Sugar Tech, 25: 1–14. https://
5. doi.org/10.1007/s12355-022-01198-0
6. Hegde, D.M., Babu, S.N.S. and Singh, N.P.
7. 2023. Assessing the impact of climate
8. change on water requirement and yield
9. of sugarcane over different agro-climatic
10. zones of Tamil Nadu. Frontiers in
11. Sustainable Food Systems, 8: 1344892.
12. ht tps: / /doi .org/10.3389/
13. fsufs.2024.1344892
14. Kumar, G., Verma, R.R. and Srivastava, T.K.
15. 2024. Long-term trends and variability in
16. sugarcane production: a five-district
17. comparative analysis with meteorological
18. context in Maharashtra and Karnataka,
19. India. Scientific Reports, 15: 14052.
20. https://doi.org/10.1038/s41598-026
21. 48029-w
22. Misra, V., Solomon, S., Mall, A.K., Prajapati,
23. C.P., Hashem, A. and Abd_Allah, E.F.
24. 2021. Phenological study of sugarcane
25. (Saccharum officinarum): a thermal time
26. approach. Saudi Journal of Biological
27. Sciences, 28(8): 4656–4665. https://
28. doi.org/10.1016/j.sjbs.2021.04.075
29. Srivastava, A.K., Solomon, S. and Sharma,
30. M.L. 2011. Sugarcane production and
31. climate change: vulnerability, mitigation
32. and preparedness. Sugar Tech, 13(4):
33. 266–274. https://doi.org/10.1007/
34. s12355-011-0092-z
35. Subbaramayya, I. and Rupa Kumar, K. 1980.
36. Crop-weather relationships of sugarcane
37. and yield prediction in northeast Andhra
38. Pradesh, India. Agricultural Meteorology,
39. 21: 265–279. https://doi.org/10.1016/
40. 0002-1571(80)90071-0
41. Zhao, Y., Yu, L.X., Ai, J., Zhang, Z.F., Deng, J.
42. and Zhang, Y.B. 2023. Climate variations
43. in the low-latitude plateau contribute to
44. different sugarcane (Saccharum spp.)
45. yields and sugar contents in China.
46. Plants, 12(14): 2712. https://doi.org/
47. 10.3390/plants12142712
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author owns the article's copyright until the article is accepted for publication. After acceptance, the author(s) assigns the article's copyright jointly to both the authors and the Publishers of the Journal of Research ANGRAU (ANGRAU) and licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License.
