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All Journal Biodiversitas Journal of Biological Diversity
Benyamin Lakitan
Faculty of Agriculture, Universitas Sriwijaya. Jl. Raya Palembang-Prabumulih Km 32, Indralaya, Ogan Ilir 30662, South Sumatra, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Population density, multiple harvesting, and ability of Ipomoea reptans to compete with native weeds at tropical wetlands Benyamin Lakitan; KARTIKA KARTIKA
Biodiversitas Journal of Biological Diversity Vol. 21 No. 9 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d210957

Abstract

Abstract. Lakitan B, Kartika K. 2020. Population density, multiple harvesting, and ability of Ipomoea reptans to compete with native weeds at tropical wetlands. Biodiversitas 21: 4376-4383. Despite as a nutritious, fast-growing, and well-adapted leafy vegetable at tropical wetlands; Ipomoea reptans has not been intensively cultivated yet. This study was designed for increasing productivity of this vegetable by optimizing population density, extending harvesting period, and its ability to compete with native weeds at tropical wetlands. Bottom wet culture system (BWCS) was implemented by placing all pots within 2 m x 4 m experimental pool filled with water to 2-cm depth to make sure bottom part of the substrate within each pot was continuously water-saturated. Results of this study indicated that despite fluctuated yield at each harvest, accumulative yields after five consecutive harvests were not significantly different among population densities from 14 to 71 plants per m2. Yet, quality of yield in most cases was better in lower population density treatment (14 plants per m2), as indicated by SPAD value and marketable size of individual plants. Frequent NPK fertilizer application was effective for increasing yield. The first harvest was done at 4 weeks after seed sowing; thereafter, the plants were routinely re-harvested at about every week. This fast-growing vegetable also exhibited ability to compete with native weeds commonly found at tropical wetlands at density up to 11.3 mg cm-2.
Acclimating leaf celery plant (Apium graveolens) via bottom wet culture for increasing its adaptability to tropical riparian wetland ecosystem Benyamin Lakitan; KARTIKA KARTIKA; SUSILAWATI SUSILAWATI; ANDI WIJAYA
Biodiversitas Journal of Biological Diversity Vol. 22 No. 1 (2021)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d220139

Abstract

Abstract. Lakitan B, Kartika, Susilawati, Wijaya A. 2021. Acclimating leaf celery plant (Apium graveolens) via bottom wet culture to increase its adaptability to the tropical riparian wetland ecosystem. Biodiversitas 22: 320-328. Bottom-wet culture was set up for acclimating leaf celery plant prior to cultivation at shallow water table conditions. The aim of this research was to evaluate adaptability of leaf celery plants to riparian wetland ecosystem. Leaf celery was selected as potential candidate since natural habitat of its wild relatives is marshlands. Shading at 0%, 20%, and 60% was applied to reduced tropical sunlight intensity. Results of this study indicated that soil moisture was significantly increased in plants exposed to 60% shading, but leaf SPAD value was not significantly affected. Leaf celery is a perennial vegetable that can be frequently harvested. Weekly harvesting was rewarded with optimum yield and good quality leaves, i.e. high SPAD value (45.73 to 51.89). Delaying harvest to 3 weeks increased total yield but 52.12% of the harvested leaves were non-marketable. Mother plant of leaf celery produced suckers, but number of suckers only moderately correlated with yield (R2 = 0.56). Plants exposed to 60% shading produced significantly less suckers (9.00) than those exposed to full sunlight (12.46) and 20% shading (12.88) Use of zero intercept linear regression model, with length of leaf midrib (LLM) x leaf wingspan (LWS) as predictor, resulted in a geometrically based and accurate leaf area estimation model (LA = 0.3431(LLM x LWS); R2 = 0.87) for compound leaves of leaf celery plant. In conclusion, the most crucial factor in optimizing quantity and quality of yield was weekly harvesting focusing on marketable-size leaves.
Lesser-known ethnic leafy vegetables Talinum paniculatum grown at tropical ecosystem: Morphological traits and non-destructive estimation of total leaf area per branch Benyamin Lakitan; Kartika Kartika; Laily Ilman Widuri; Erna Siaga; Lya Nailatul Fadilah
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/d221042

Abstract

Abstract. Lakitan B, Kartika K, Widuri LI, Siaga E, Fadilah LN. 2021. Lesser-known ethnic leafy vegetables Talinum paniculatum grown at tropical ecosystem: Morphological traits and non-destructive estimation of total leaf area per branch. Biodiversitas 22: 4487-4495. Talinum paniculatum known as Java ginseng is an ethnic vegetable in Indonesia that has also been utilized as a medical plant. Young leaves are the primary economic part of T. paniculatum, which can be eaten fresh or cooked. This study was focused on characterizing morphological traits of T. panicultaum and developing a non-destructive yet accurate and reliable model for predicting total area per leaf cluster on each elongated branch per flush growth cycle. The non-destructive approach allows frequent and timely measurements. In addition, the developed model can be used as guidance for deciding the time to harvest for optimum yield. Results indicated that T. paniculatum flourished rapidly under wet tropical conditions, especially if they were propagated using stem cuttings. The plants produced more than 50 branches and more than 800 leaves, or on average produced more than 15 leaves per branch at the age of nine weeks after planting (WAP). The zero-intercept linear model using a combination of two traits of length x width (LW) as a predictor was accurate and reliable for predicting a single leaf area (R2 = 0.997). Meanwhile, the estimation of total area per leaf cluster was more accurate if three traits, i.e., number of leaves, the longest leaf, and the widest leaf in each cluster were used as predictors with the zero-intercept linear regression model (R2 = 0.984). However, the use of a single trait of length (L) and width (W) of the largest leaf within each cluster as a predictor in the power regression model exhibited moderately accurate prediction at the R2 = 0.883 and 0.724, respectively.
Co-Authors ANDI WIJAYA Erna Siaga KARTIKA KARTIKA KARTIKA KARTIKA Kartika Kartika Laily Ilman Widuri Lya Nailatul Fadilah SUSILAWATI SUSILAWATI