Agronomic performance, yield stability and selection of doubled haploid rice lines in advanced yield trials

Author:

Hadianto Wira12,Purwoko Bambang Sapta3,Dewi Iswari Saraswati4,Suwarno Willy Bayuardi3,Hidayat Purnama5,Lubis Iskandar3

Affiliation:

1. Program of Plant Breeding and Biotechnology, Department of Agronomy and Horticulture, Faculty of Agriculture, Institut Pertanian Bogor. Jl. Meranti, IPB Dramaga Campus, Bogor 16680, West Java, Indonesia

2. Department of Agrotechnology, Faculty of Agriculture, Universitas Teuku Umar. Jl. Alue Penyereng, Meulaboh 23615, Aceh, Indonesia

3. Department of Agronomy and Horticulture, Faculty of Agriculture, Institut Pertanian Bogor. Jl. Meranti, IPB Dramaga Campus, Bogor 16680, West Java, Indonesia

4. Research Organization of Agriculture and Food, National Research and Innovation Agency. Jl. Raya Jakarta-Bogor Km. 46, Cibinong, Bogor 16911, West Java, Indonesia

5. Department of Plant Protection, Faculty of Agriculture, Institut Pertanian Bogor. Jl. Meranti, IPB Darmaga Campus, Bogor 16680, West Java, Indonesia

Abstract

<abstract> <p>Anther culture is a widely utilized technique in rice breeding because of its simplicity and effectiveness in rapidly obtaining pure lines in the form of doubled haploid plants. The selection of doubled haploid (DH) rice lines derived from anther culture in advanced yield trials is an important step for obtaining superior DH lines. We aimed to determine agronomic performance, including yield and yield stability in order to select lowland DH rice lines that are high yield and have good agronomic performance based on the selection index method. The research was conducted in Indonesia at three locations, i.e., Bogor (West Java), Indramayu (West Java) and Malang (East Java) from July to December 2022. The genotypes tested were 29 DH lines and three check varieties (Inpari-42 Agritan GSR, Inpari-18 Agritan and Bioni63 Ciherang Agritan) using a randomized complete block design (RCBD) with genotypes as a single factor and three replications. High heritability values are found in all agronomic characters, except the percentage of filled grain/panicle, the percentage of empty grain/panicle and productivity. The yield stability based on the Kang method showed that 15 lines were stable and had high productivity. Phenotypic correlation analysis showed that the number of productive tillers, days to flowering, days to harvesting, number of filled grains/panicle and percentage of filled grains all had positive values and significantly correlated with productivity. Phenotypic path analysis showed that the character of days to harvesting, number of filled grains/panicle, number of productive tillers and percentage of filled grains/panicle directly affected the productivity. Based on the weighted selection index, 12 DH lines were selected due to having a positive and higher index (8.54 to 0.28) than the Bioni63 Agritan and Inpari 18 check varieties. Among those lines, 9 DH lines were also stable based on the Kang Method.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Agricultural and Biological Sciences (miscellaneous),Food Science

Reference44 articles.

1. Samal R, Roy PS, Sahoo A, et al. (2018) Morphological and molecular dissection of wild rices from eastern India suggests distinct speciation between O. rufipogon and O. nivara populations. Sci Reports 8: 1–13. https://doi.org/10.1038/s41598-018-20693-7

2. FAOSTAT (2021) Food and Agricultural Organisation. Available from: https://www.fao.org/faostat/en/#data/QCL.

3. USDA (2022) World Rice Production 2021/2022. Available from: http://www.worldagriculturalproduction.com/crops/rice.aspx/.

4. Horie T (2019) Global warming and rice production in Asia: Modeling, impact prediction and adaptation. Proc Jpn Acad, Ser B: Phys Biol Sci 95: 211–245. https://doi.org/10.2183/pjab.95.016

5. Rondhi M, Khasan AF, Mori Y, et al. (2019) Assessing the role of the perceived impact of climate change on national adaptation policy: the case of rice farming in Indonesia. MDPI-Land 8: 81–102. https://doi.org/10.3390/land8050081

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