Araştırma Makalesi
Yıl 2023,
Sayı: 39, 1 - 9, 27.12.2023
Öz
Kaynakça
- Auffhammer, Maximilian, V., Ramanathan and Vincent, J.R. (2012): Climate change, the monsoon, and rice yields in India. Climatic Change, 111: 411-424. google scholar
- Bagla, P. (2012): Drawing a bead on India‘s enigmatic monsoon. Science, 335(6071): 910. google scholar
- Buishand, T.A. (1982): Some methods for testing the homogeneity of rainfall records. J. Hydrol. 58(1-2): 11-27. google scholar
- Chaliha, S., Sengupta, A., Sharma, N. and Ravindranath, N. H. (2012): Climate variability and farmer’s vulnerability in a flood-prone district of Assam. International Journal of Climate Change Strategies and Management. google scholar
- Das, A., Ghosh, P. K., Choudhury, B. U., Patel, D. P., Munda, G. C., Ngachan, S. V. and Chowdhury, P. (2009): Climate change in North East India: Recent facts and events worry for agricultural management. In: Proceedings of the workshop on impact of climate change on agriculture, (pp. 32-37). google scholar
- Dhorde, A. G. and Zarenistanak, M. (2013): Three-way approach to test data homogeneity: an analysis of temperature and precipitation series over southwestern Islamic Republic of Iran. J. Ind. Geophys.Union.17(3):233-242. google scholar
- Dutta, R. (2014): Climate change and its impact on tea in Northeast India. Journal of Water and Climate Change, 5(4): 625-632. google scholar
- Goswami, B.N. (2006): Increasing trend of extreme rain events over India in a warming environment. Science, 314: 1442-1445. google scholar
- Han, F., Chen, H., Li, X. J., Yang, M. F., Liu, G. S. and Shen, S. H. (2009): A comparative proteomic analysis of rice seedlings under various high-temperature stresses. Biochim. Biophys. Acta., 1794: 1625-1634. google scholar
- Jaiswal, R. K., Lohani, A. K. and Tiwari, H. L. (2015): Statistical analysis for change detection and trend assessment in climatological parameters. Environmental Processes, 2(4): 729-749. google scholar
- Kang, H. M. and Yusof, F. (2012): Homogeneity tests on daily rainfall series. Int. J. Contemp. Math. Sciences, 7(1): 9-22. google scholar
- Kobata, T., Uemuki, N., Inamura, T. and Kagata, H. (2004): Shortage of assimilate supply to grain increases the proportion of milky white rice kernels under high temperatures. Jpn. J. Crop Sci., 73: 315-322. google scholar
- Oh-e, I., Saitoh, K. and Kuroda, T. (2007): Effects of high temperature on growth, yield and dry-matter production of rice grown in the paddy field. Plant Prod. Sci., 10: 412-422. google scholar
- Pal, K. (2018). Analysis of Rainfall Trend over long period in Uper betwa Basin, Madhya Pradesh. Ph.D Thesis, Banasar Hindu University, Varanasi-221005. google scholar
- Peng, S., Huang, J., Sheehy, J. E., Laza, R. C., Visperas, R. M., Zhong, X., Centeno, G. S., Khush, G.S. and Cassman, K. G. (2004): Rice yield decline with higher night temperature from global warming. Proceedings of the National Academy of Sciences, 101(27): 9971-9975. google scholar
- Pohlert, T. (2016). Non-parametric trend tests and change-point detection. CC BY-ND, 4. google scholar
- Ramanathan et al. ( 2005): Atmospheric brown clouds: Impacts on South Asian climate and hydrological cycle. Proceedings of the National Academy of Sciences, 102(15): 5326-5333. 53. google scholar
- Ramesh, K.V. and Goswami, P. (2007): Reduction in temporal and spatial extent of the Indian summer monsoon. Geophysical Research Letters, 34: 1-6. google scholar
- Ravindranath, N. H., Rao, S., Sharma, N., Nair, M., Gopalakrishnan, R., Rao, A. S. and Bala, G. (2011): Climate change vulnerability profiles for North East India. Current Science, 384-394. google scholar
- Ritchie, J. T. (1993): Genetic specific data for crop modelling. In: Systems Approaches for Agricultural Development. Eds. Kluwer Academic Publishers, Dordrech., pp. 77-93. google scholar
- Tabari, H. and Marofi, S. (2011): Changes of pan evaporation in the west of Iran. Water Resour. Manag., 25: 97-111. google scholar
- Wing, I. S., De Cian, E. and Mistry, M. N. (2021): Global vulnerability of crop yields to climate change. Journal of Environmental Economics and Management, 102462. google scholar
- Yoshida, S. (1973): Effects of temperature on growth of rice plant (Oryza sativa L.) in a controlled environment. Soil Science Plant Nutriton, 19: 299-310. google scholar
- Yoshida, S., Satake, T. and Mackill, D. J. (1981): High-temperature stress in rice (Review).IRRI Res. Paper Series, 67: 5 google scholar
- Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of the American statistical association 63, 324: 1379-1389. google scholar
Winter Rice Trend Analysis and Change Point Detection in Assam’s North Bank Plains Zone (NBPZ): A Non-Parametric Approach
Öz
Rice from Assam is well-known for having a wide range of genetic varieties. In the past, Assam produced more rice due to its geographic location and climatic conditions. The main rice crop in Assam is winter rice, which makes up a significant amount of the state’s overall rice production. The NBPZ is one of the key locations where agriculture provides many people with a means of subsistence. The goal of the study is to determine the turning point for winter rice productivity in Assam’s NBPZ by analyzing trends regarding winter rice output, area, and productivity. The transition point for the productivity of winter rice was discovered by analyzing more than 30 years of NBPZ data. The study also shows the NBPZ to not just be restricted to researching winter rice’s climate-resilient productivity but to also have a critical need to adopt efficient crop production and productivity measures. Thus, the study’s findings are anticipated to be able to help policymakers create an effective agricultural policy that is easier for farmers to adopt.
Anahtar Kelimeler
change point hypothesis testing non-parametric trend analysis
Kaynakça
- Auffhammer, Maximilian, V., Ramanathan and Vincent, J.R. (2012): Climate change, the monsoon, and rice yields in India. Climatic Change, 111: 411-424. google scholar
- Bagla, P. (2012): Drawing a bead on India‘s enigmatic monsoon. Science, 335(6071): 910. google scholar
- Buishand, T.A. (1982): Some methods for testing the homogeneity of rainfall records. J. Hydrol. 58(1-2): 11-27. google scholar
- Chaliha, S., Sengupta, A., Sharma, N. and Ravindranath, N. H. (2012): Climate variability and farmer’s vulnerability in a flood-prone district of Assam. International Journal of Climate Change Strategies and Management. google scholar
- Das, A., Ghosh, P. K., Choudhury, B. U., Patel, D. P., Munda, G. C., Ngachan, S. V. and Chowdhury, P. (2009): Climate change in North East India: Recent facts and events worry for agricultural management. In: Proceedings of the workshop on impact of climate change on agriculture, (pp. 32-37). google scholar
- Dhorde, A. G. and Zarenistanak, M. (2013): Three-way approach to test data homogeneity: an analysis of temperature and precipitation series over southwestern Islamic Republic of Iran. J. Ind. Geophys.Union.17(3):233-242. google scholar
- Dutta, R. (2014): Climate change and its impact on tea in Northeast India. Journal of Water and Climate Change, 5(4): 625-632. google scholar
- Goswami, B.N. (2006): Increasing trend of extreme rain events over India in a warming environment. Science, 314: 1442-1445. google scholar
- Han, F., Chen, H., Li, X. J., Yang, M. F., Liu, G. S. and Shen, S. H. (2009): A comparative proteomic analysis of rice seedlings under various high-temperature stresses. Biochim. Biophys. Acta., 1794: 1625-1634. google scholar
- Jaiswal, R. K., Lohani, A. K. and Tiwari, H. L. (2015): Statistical analysis for change detection and trend assessment in climatological parameters. Environmental Processes, 2(4): 729-749. google scholar
- Kang, H. M. and Yusof, F. (2012): Homogeneity tests on daily rainfall series. Int. J. Contemp. Math. Sciences, 7(1): 9-22. google scholar
- Kobata, T., Uemuki, N., Inamura, T. and Kagata, H. (2004): Shortage of assimilate supply to grain increases the proportion of milky white rice kernels under high temperatures. Jpn. J. Crop Sci., 73: 315-322. google scholar
- Oh-e, I., Saitoh, K. and Kuroda, T. (2007): Effects of high temperature on growth, yield and dry-matter production of rice grown in the paddy field. Plant Prod. Sci., 10: 412-422. google scholar
- Pal, K. (2018). Analysis of Rainfall Trend over long period in Uper betwa Basin, Madhya Pradesh. Ph.D Thesis, Banasar Hindu University, Varanasi-221005. google scholar
- Peng, S., Huang, J., Sheehy, J. E., Laza, R. C., Visperas, R. M., Zhong, X., Centeno, G. S., Khush, G.S. and Cassman, K. G. (2004): Rice yield decline with higher night temperature from global warming. Proceedings of the National Academy of Sciences, 101(27): 9971-9975. google scholar
- Pohlert, T. (2016). Non-parametric trend tests and change-point detection. CC BY-ND, 4. google scholar
- Ramanathan et al. ( 2005): Atmospheric brown clouds: Impacts on South Asian climate and hydrological cycle. Proceedings of the National Academy of Sciences, 102(15): 5326-5333. 53. google scholar
- Ramesh, K.V. and Goswami, P. (2007): Reduction in temporal and spatial extent of the Indian summer monsoon. Geophysical Research Letters, 34: 1-6. google scholar
- Ravindranath, N. H., Rao, S., Sharma, N., Nair, M., Gopalakrishnan, R., Rao, A. S. and Bala, G. (2011): Climate change vulnerability profiles for North East India. Current Science, 384-394. google scholar
- Ritchie, J. T. (1993): Genetic specific data for crop modelling. In: Systems Approaches for Agricultural Development. Eds. Kluwer Academic Publishers, Dordrech., pp. 77-93. google scholar
- Tabari, H. and Marofi, S. (2011): Changes of pan evaporation in the west of Iran. Water Resour. Manag., 25: 97-111. google scholar
- Wing, I. S., De Cian, E. and Mistry, M. N. (2021): Global vulnerability of crop yields to climate change. Journal of Environmental Economics and Management, 102462. google scholar
- Yoshida, S. (1973): Effects of temperature on growth of rice plant (Oryza sativa L.) in a controlled environment. Soil Science Plant Nutriton, 19: 299-310. google scholar
- Yoshida, S., Satake, T. and Mackill, D. J. (1981): High-temperature stress in rice (Review).IRRI Res. Paper Series, 67: 5 google scholar
- Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of the American statistical association 63, 324: 1379-1389. google scholar
Toplam 25 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Ekonometri (Diğer) |
| Bölüm | ARAŞTIRMA MAKALESI |
| Yazarlar | |
| Yayımlanma Tarihi | 27 Aralık 2023 |
| Gönderilme Tarihi | 17 Haziran 2023 |
| Yayımlandığı Sayı | Yıl 2023 Sayı: 39 |
