Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)

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Agronomic Characteristics of F1 Rice from Crossing Aromatic Rice with Local Rice Varieties

Authors
Wahyu Indra Duwi Fanata1, 2, *, Ummi Sholikhah1, Tri Ratnasari1, Ahmad Ilham Tanzil1, Tri Handoyo2, 3
1Department of Agrotechnology, Faculty of Agriculture, University of Jember, Jl. Kalimantan Tegalboto No.37, Jember, East Java, 68121, Indonesia
2Department of Agronomy, Faculty of Agriculture, University of Jember, Jl. Kalimantan Tegalboto No.37, Jember, East Java, 68121, Indonesia
3Center for Development of Advanced Science and Technology (CDAST), Universitas Jember, Jl. Kalimantan Tegalboto No.37, Jember, East Java, 68121, Indonesia
*Corresponding author. Email: wahyuindra.faperta@unej.ac.id
Corresponding Author
Wahyu Indra Duwi Fanata
Available Online 29 June 2024.
DOI
10.2991/978-94-6463-445-7_24How to use a DOI?
Keywords
Aromatic rice breading; OsBADH2 gene mutation; bradbury markers
Abstract

The aroma of pandanus is the hallmark of aromatic rice, which is typically more expensive than regular non-aromatic rice. However, low-productivity cultivars yield the majority of fragrant rice. Thus, breeding aromatic rice is vital for developing new high-yield aromatic rice varieties. In this work, we used non-aromatic IR64 and Sigupai varieties as recipient parents, and aromatic trait donors, Merah Wangi and line 29. Using Bradbury markers, the aromatic genotype was identified based on the presence of the badh2 allele caused by the OsBADH2 gene mutation. Our findings demonstrated that the badh2 allele is heterozygously present in the F1 progenies of the IR64/Merah Wangi, Sigupai/Merah Wangi, and Sigupai/line 29 cross-pollination. The results of the phenotypic study indicated that the F1 Sigupai/Strain 29 plant had the greatest number of tillers and the highest number of productive tillers, while the plant heights of F1 IR64/Merah Wangi and Sigupai/Strain 29 were classified as medium. Furthermore, three F1 lines were classified as medium in terms of both panicle length and number.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
Series
Advances in Intelligent Systems Research
Publication Date
29 June 2024
ISBN
978-94-6463-445-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-445-7_24How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wahyu Indra Duwi Fanata
AU  - Ummi Sholikhah
AU  - Tri Ratnasari
AU  - Ahmad Ilham Tanzil
AU  - Tri Handoyo
PY  - 2024
DA  - 2024/06/29
TI  - Agronomic Characteristics of F1 Rice from Crossing Aromatic Rice with Local Rice Varieties
BT  - Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
PB  - Atlantis Press
SP  - 223
EP  - 229
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-445-7_24
DO  - 10.2991/978-94-6463-445-7_24
ID  - Fanata2024
ER  -