Two new phenolic compounds, teadenol A (1) and teadenol B (2), were isolated from tea (Camellia sinensis L.) leaves fermented with Aspergillus sp. (PK-1, FARM AP-21280). The chemical structures of 1 and 2 were elucidated based on the analyses of their spectroscopic data. The absolute configurations of the structures of 1 and 2 were also certified by their biosynthetic preparation in the treatment of tea catechins with Aspergillus sp.
The genotype–environment interaction causes difficulties in selecting stable and ideal soybean cultivars across crop rotation models. Thus, this study aimed to provide the best estimates of soybean yields in every crop rotation model for recommendations in the rainfed agroforestry system using GGE biplot and EBLUP. In this study, the productivity and stability of 15 soybean cultivars were evaluated using four crop rotation models, that is, soybean planting after fallow (F–S), soybean planting after maize (M–S), soybean planting after rice (R–S), and continuous soybean (S–S) in dry and wet seasons at Menggoran Forest Resort, Playen District, Gunungkidul Regency, Special Province of Yogyakarta, Indonesia. Results in the dry season revealed that the Dering I cultivar had the highest yield in F–S and R–S of 1.267 and 1.375 tons ha−1 and the Grobogan cultivar in M–S and S–S of 1.200 and 1.349 tons ha−1, respectively. During the wet season, the Grobogan cultivar showed the highest yields in F–S, M–S, and S–S of 2.187, 2.435, and 2.247 tons ha−1, and the Dega I cultivar in R–S of 2.049 tons ha−1. Based on the GGE biplot and Shukla model, Dering I and Grobogan cultivars were classified as fairly and relatively stable in dry and wet seasons. The cultivars that are well suited to the environment can maximize the yield potential of these cultivars and help to build a sustainable production system.
Lai (Durio kutejensis Becc.) is an indigeneous germplasm of Kalimantan which has some superiorities compared to its close-relative, durian (Durio zibethinus Murr.). Genetic exploration of lai is important to support its breeding program. According to rapid development in molecular biology, genetic exploration effort of lai will be easier. One of significant step in any molecular biology activities is DNA isolation to produce high quality DNA for further analysis. Leaves of lai, as other perennial crop, contain of high concentration of polysaccharides and polyphenol which will be co-extracted with the DNA. These compounds can interfere enzymes activities in subsequent molecular analysis. The aim of this study was to establish an optimal and effective DNA extraction method to obtain high-quality DNA from mature leaf of lai. An established extraction buffer and its modification were used in this study. The result showed that modification 4 could produce high quality DNA, and was considered to be the most effective DNA extraction method for mature leaf of lai.
Abstract. Widyawan MB, Hasanah A, Taryono, Alam T, Sayekti RS, Pramana AAC, Wulandari RA. 2020. Multivariate analysis unravels genetic diversity and relationship between agronomic traits, protein, and dietary fiber in yardlong bean (Vigna unguiculata subsp. sesquipedalis Verdc.). Biodiversitas 21: 5662-5671. Yardlong bean (Vigna unguiculata subsp. sesquipedalis Verdc.) is a vegetable legume that possesses the highest amount of protein and total dietary fiber (TDF) content among other vegetables. However, protein and TDF content diversity are found among yardlong bean genotypes. Genetic improvement to produce cultivars with high yield and improved nutritional content is required. This study aimed to analyze genetic diversity and identify the relationship between important agronomic traits from 21 yardlong bean genotypes assessed by multivariate statistical analysis. The experiment was arranged in alpha design with three replicates, each consist of six blocks. Six pod-related important agronomic traits, protein, and TDF content were observed in this study. Total pod weight, pod weight, and pod length were found to be negatively correlated with protein and TDF content based on correlation and principal component analysis (PCA). Although negatively correlated, several variables possess a large and positive direct effect on protein and TDF content, such as the number of pod, pod weight, and days to flower. D2 analysis and Tocher’s method classify genotypes used in this study into five clusters with diverse traits value. Information from this study laid a foundation for the improvement of important agronomic traits as well as nutritional content in yardlong bean.
Abstract. Alam T, Suryanto P, Supriyanta, Basunanda P, Wulandari RA, Kastono D, Widyawan MH, Nurmansyah, Taryono. 2021. Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP. Biodiversitas 22: 4750-4757. Genotype-by-environment interaction (GEI) causes differences in the productivity of rice cultivars in agroforestry systems. For this reason, the stability of rice cultivars is an important aspect that should be considered before a cultivar is recommended to farmers. Superior genotypes and ideal environments are commonly identified using two statistical models, namely, genotype–genotype-by-environment biplot (GGE-biplot) and empirical best linear unbiased prediction (EBLUP). In this study, 15 rice cultivars were evaluated in terms of their productivity and stability in three soil types (Lithic Haplusterts, Ustic Epiaquerts, and Vertic Haplustalfs) in an agroforestry system with kayu putih (Melaleuca cajuputi) in 2019 and 2020 at the Menggoran Forest Resort, Playen Forest Section, Yogyakarta Forest Management District, Indonesia. The cultivars were treated as random effects to select and obtain the EBLUP of the best cultivars in each soil type. The EBLUP revealed that Situ Patenggang showed the highest yields of 4.887 and 5.456 tons ha?1 in Lithic Haplusterts and Vertic Haplustalfs, respectively. GM 28 exhibited the highest yield of 6.492 tons ha?1 in Ustic Epiaquerts. Ciherang, GM 2, GM 8, GM 11, GM 28, Inpari 6 Jete, Inpari 33, IR-64, and Way Apo Buru were classified as stable and fairly stable cultivars, whereas the other cultivars were unstable. Therefore, rice cultivars with high yields in specific soil types should be selected.
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