Open AccessClimate change mitigation through superior varieties use to increase rice production in tidal swamp land
Author(s) -
Niluh Putu Sri Ratmini,
Herwenita,
Fuadi Irsan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/824/1/012019
Subject(s) - swamp , abiotic component , environmental science , agriculture , climate change , land use , paddy field , agronomy , agroforestry , agricultural engineering , ecology , biology , engineering
The tidal swamp is sub-optimal land that can be utilized for agricultural development. The potential tidal swamp land as agricultural land reaches 3,445,184 ha, in which 2,802,169 ha is used for rice fields. The constraints faced in tidal swamp land development for agriculture are low soil fertility including high soil acidity, pyrite content, and high iron and aluminum solubility. It is also exacerbated by climate change that has affected the season which affects water conditions in the field. To overcome these problems, proper technology should be applied with adaptive superior varieties as one of the technology components to increase rice production. This paper aims to determine the superior varieties contribution in increasing rice production in tidal swamp land. The study used the review article method which original research and relevant experimental studies, as well as review articles, were critically read and analyzed for inclusion in this paper. The superior varieties have contributed to rice production increase due to their ability to adapt to climate change. Stress-tolerant and adaptive superior varieties may cope with high iron solubility and acidity of tidal swamp land. Moreover, it also has a shorter crop duration, resistance to certain pests and diseases, biotic and abiotic stress resistance, with higher and more stable production. Some of the superior varieties that adapted well in tidal swamp land are Mekongga, Ciherang, Inpari 10, 13, 22, 31, 32, 33 dan 42, Inpara 1,3, 5, 7, and 9.