Aristya, V. E. and Taryono, Taryono and Trisyono, Y. A. and Mulyo, J. H. (2021) Morphological Fingerprint of New Rice Genotypes. IOP Conference Series: Earth and Environmental Science, 662 (1). ISSN 17551307
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Abstract
The world's important food commodity is rice. This rice needs to be extended annually, but the production has not been able to meet the demands. The morphological parameters' improvement is the major aim of this breeding program. Morphological fingerprint is a unique pattern of traits which consists of a genotype for identification purposes and to detect genetic diversity as the basis of rice breeding. One of the obstacles which is faced in rice cultivation is that it has poor aeration which is caused by floods. Climate change affects the potential flooding in productive fields. The land optimization under the flooding needs to be supported by tolerant genotypes rice that are able to adapt and produced high yield. The importance of morphological fingerprint through evaluations of seventeen rice genotypes in a potentially flooded environment, would increase the efficiency of the breeding programs. The study of variability on yield and these components of rice genotypes showed a wide range of variation and specificity for all traits. The Pearson correlation coefficients for fifteen characters indicated that rice yield had a positive and significant correlation with culm diameter, biomass, and harvest time. The performance of rice genotypes had a significant negative correlation on 1000-grain weight and biomass.
Item Type: | Article |
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Additional Information: | Library Dosen |
Uncontrolled Keywords: | Climate change; Correlation methods; Floods; Breeding program; Food commodity; Genetic diversity; Morphological parameters; Negative correlation; Pearson correlation coefficients; Rice cultivation; Rice genotypes; Cultivation |
Subjects: | S Agriculture > S Agriculture (General) |
Divisions: | Faculty of Agricultural Technology > Agro-Industrial Technology |
Depositing User: | Sri JUNANDI |
Date Deposited: | 21 Oct 2024 08:19 |
Last Modified: | 21 Oct 2024 08:19 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/5395 |