Open AccessCorrelation of phenotype components with yield of promising tungro resistant superior rice lines
Author(s) -
Arif Muazam,
R. Heru Praptana
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 - 10.1088/1755-1315/756/1/012002
Subject(s) - panicle , hectare , yield (engineering) , biology , agronomy , productivity , disease resistant , adaptability , horticulture , plant disease resistance , agriculture , ecology , biochemistry , materials science , macroeconomics , gene , economics , metallurgy
The assembly of new high-yield and disease-resistant rice varieties is one of the efforts to increase the rice production and productivity in Indonesia. New site-specific varieties that match farmer preferences are targeted for plant breeding. The yield test is one of the activities in plant breeding to identify any promising lines that have adaptability to a specific growing environment. The purpose of this study was to determine the correlation of the phenotypic components with the yield of the promising superior rice lines which have high yield potential and are resistant to tungro disease. The research was conducted in the tungro endemic area of Lanrang South Sulawesi during the rainy season (MH) December 2017 to March 2018. A total of 20 rice slaves were arranged in an augmented design consisting of 4 blocks, each block there were 5 test lines and 2 comparison varieties namely Ciherang and Inpari 7 Lanrang. The components observed included plant height, flowering age, number of panicles, number of filled grains per panicle, number of empty grains per panicle, 1000 grain weight, yield weight per hectare, clump shape and level of lodging. The results showed that the yields of 10 lines were higher than one or both comparators, namely BP11224F, BP12280-4F-7, BP57964F, BP11206F, BP12280-4F-4, BP12280-3F-16, BP12280-3F-2, BP122803F5, BP11208F-7, and BP12280-3f-13. The value of R = 0.557, which means that there is a strong correlation between the components of growth and the level of yield. The value of R square = 0.310 indicates that the ability of the six growth components were observed affects the rice yield by 31% and there are still 69% other components that affect the yield.