Arifin Noor Sugiharto
Department of Agronomy, Faculty of Agriculture, Universitas Brawijaya. Jl. Veteran, Malang 65145, East Java, Indonesia

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Assessment of combining ability in purple corn parents under line × tester mating design using GGE biplot Nurul Mufidah; Arifin Noor Sugiharto; Budi Waluyo
Biodiversitas Journal of Biological Diversity Vol. 22 No. 10 (2021)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d221048

Abstract

Abstract. Mufidah N, Sugiharto AN, Waluyo B. 2021. Assessment of combining ability in purple corn parents under line × tester mating design using GGE biplot. Biodiversitas 22: 4545-4554. One strategy to increase corn quality is the development of new corn cultivars by incorporating the character of nutritional content. The study aims to obtain information on the combining ability of purple corn lines as well as determine the best parental lines for purple corn hybrid development using the GGE biplot approach. This study used 24 hybrids generated from crossings of 8 purple corn lines with 3 testers, which were crossed using a line × tester mating design. Plant performance was assessed using a randomized block design of three replications. The F-test was used to assess and test the experiment variance. The combining ability of purple corn lines was examined using the GGE biplot method. The result showed that the GGE biplot approach successfully identified the best combiner and combinations generated between purple corn lines and non-purple corn lines. Purple corn lines P1Y1 had the best general combining ability for fresh ear yield and total anthocyanin content, meanwhile, P1Y2 had the best general combining ability in most of the agronomic traits, namely ear diameter, shelled ear weight, number of grains row-1, and as well as total anthocyanin content. These 2 lines were also identified as the best parent chosen in the best combination in this study.
Pre-DUS screening of elite maize inbreds via SSR markers and ideotype selection RAKA FAUZI MITREKA; ERLANGGA DWI ATMOJO; SHANASYA NAJWA DEVYA ASYARI; AZERI GAUTAMA ARIFIN; DARMAWAN SAPTADI; ARIFIN NOOR SUGIHARTO
Biodiversitas Journal of Biological Diversity Vol. 27 No. 4 (2026)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d270433

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Abstract. Mitreka RF, Atmojo ED, Asyari SND, Arifin AG, Saptadi D, Sugiharto AN. 2026. Pre-DUS screening of elite maize inbreds via SSR markers and ideotype selection. Biodiversitas 27 (4): d270433. https://doi.org/10.13057/biodiv/d270433. Maize is a key cereal crop in Indonesia, but traditional pre-DUS evaluation relies heavily on morphological traits, which are often confounded by environmental influences. This limitation hinders precise genetic differentiation and efficient selection of elite inbred lines. This study aimed to support pre-DUS differentiation by integrating Simple Sequence Repeat markers with quantitative phenotypic traits and multivariate selection. Twelve elite maize inbred lines were evaluated under field conditions using a randomized complete block design; nine quantitative traits were recorded, and 10 SSR markers were used for genotyping. Our findings present three parallel outputs: phenotypic performance, molecular characterization, and multivariate selection outcomes. Phenotypically, integrated analysis revealed significant variation, with JUNRT1 and JUNRT3 demonstrating superior performance in key yield components (kernel weight, ear diameter, dehusked ear weight, and potential yield) alongside earlier flowering. Molecularly, SSR markers provided evidence consistent with genetic differentiation and predominantly single-fragment patterns in bulked SSR profiles for JUNRT1 and JUNRT3, complementing phenotypic data for pre-DUS characterization. Through multivariate analysis, Factor Analysis effectively reduced nine quantitative traits into three meaningful components: flowering time, yield components, and ear/kernel attributes. Subsequently, the Multi-Trait Genotype-Ideotype Distance Index simultaneously favored early maturity and high yield components, ranking JUNRT1 and JUNRT3 among the top lines. Collectively, this integrated morpho-molecular workflow provides screening-level evidence for pre-DUS characterization and prioritization of candidate parents for subsequent multi-location testing and potential hybrid development. It is crucial to reiterate that these outcomes are intended to support, not replace, formal DUS testing. However, single location-season phenotyping and bulked SSR profiles cannot confirm uniformity or stability under formal DUS requirements.