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

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Application of selection index for rice mutant screening under a drought stress condition imposed at reproductive growth phase MAMIK SARWENDAH; ISKANDAR LUBIS; AHMAD JUNAEDI; BAMBANG SAPTA PURWOKO; DIDY SOPANDIE; AZRI KUSUMA DEWI
Biodiversitas Journal of Biological Diversity Vol. 23 No. 10 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d231056

Abstract

Abstract. Sarwendah M, Lubis I, Junaedi A, Purwoko BS, Sopandie D, Dewi AK. 2022. Application of selection index for rice mutant screening under a drought stress condition imposed at reproductive growth phase. Biodiversitas 23: 5446-5452. Drought is a condition of limited availability of water that can reduce rice growth and productivity, and may threaten food security. Therefore, efforts are needed to produce drought-tolerant rice genotypes. This study aimed to select drought tolerant of the M3 mutant upland rice population at the reproductive growth phase. This research was carried out in dryland at BATAN, Indonesia, from September 2020 to February 2021, using an augmented design. The study employed 360 ??genotypes of mutant upland rice and 5 check varieties, namely Salumpikit, IR20, IR64, Limboto, and Situgintung. The selection index was constructed based on multivariate analyses such as correlation, path, and Principal Component Analysis (PCA). The coefficient of the selected main component can be used as a selection index. Before selecting the character values of each genotype, the values were standardized to obtain the same degree of value. The results showed that grain weight per hill (W.G.), panicle density (P.D.), panicle length (P.L.), and the number of filled grains per panicle (NFG) could be used as selection criteria for mutant upland rice tolerant to drought at reproductive growth phase. The selection index formula was I = (5*0.44*WG) + (2*0.41*PD) + (0.23*PL) + (0.42*NFG). Selection of genotypes of mutant upland rice based on weighted index selection resulted in 89 genotypes with high yields and good agronomic characteristics so that they could be tested in further research.
Agronomic performance and selection of green super rice doubled haploid lines from anther culture SITI NURHIDAYAH; BAMBANG SAPTA PURWOKO; ISWARI SARASWATI DEWI; WILLY BAYUARDI SUWARNO; ISKANDAR LUBIS
Biodiversitas Journal of Biological Diversity Vol. 24 No. 2 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d240218

Abstract

Abstract. Nurhidayah S, Purwoko BS, Dewi IS, Suwarno WB, Lubis I. 2023. Agronomic performance and selection of green super rice doubled haploid lines from anther culture. Biodiversitas 24: 819-826. Rice is the staple food of most Asian, including Indonesian people. Plant breeding plays an important role in producing high-yielding varieties of rice to meet national carbohydrate sufficiency. Green Super Rice (GSR) is an alternative for rice variety development that has the advantages of high yield, good quality, pest resistance, and efficient fertilizer use to support sustainable agriculture. This study aimed to evaluate the agronomic character of GSR doubled haploid (DH) lines derived from anther culture and determine the best GSR rice lines based on index selection. The treatment was 65 genotypes consisting of 60 DH of GSR lines from anther culture of 5 combinations of crosses and 5 check varieties. The study used a randomized complete block design with three replications. The results showed that most of the tested lines had similar agronomic performances to the check variety Inpari 42 Agritan GSR. Almost all agronomic characters of the GSR DH lines had high genetic variability. Most characters had a high category of broad-sense heritability except panicle length. Line selection using index selection for economically important agronomic characters yielded 27 GSR DH lines having high productivity, number of productive tillers per hill, number of total grains per panicle, and percentage of filled grains per panicle.