Taufan Alam
Department of Agronomy, Faculty of Agriculture, Universitas Gadjah Mada. Jl. Flora No. 1, Bulaksumur, Sleman 55281, Yogyakarta, Indonesia

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

Multivariate analysis unravels genetic diversity and relationship between agronomic traits, protein, and dietary fiber in yardlong bean (Vigna unguiculata subsp. sesquipedalis Verdc.) Muhammad Habib Widyawan; Aulia Hasanah; Taryono; Taufan Alam; Rahmi Sri Sayekti; Abrory Agus Cahya Pramana; Rani Agustina Wulandari
Biodiversitas Journal of Biological Diversity Vol. 21 No. 12 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d211211

Abstract

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.
Assessment of soil quality parameters and yield of rice cultivars in Melaleuca cajuputi agroforestry system Priyono Suryanto; Taryono TARYONO; Supriyanta SUPRIYANTA; Dody Kastono; Eka Tarwaca Susila Putra; Suci Handayani; MUHAMMAD HABIB WIDYAWAN; Taufan Alam
Biodiversitas Journal of Biological Diversity Vol. 21 No. 8 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d210807

Abstract

Abstract. Suryanto P, Taryono, Supriyanta, Kastono D, Putra ETS, Widyawan MH, Alam T. 2020. Assessment of soil quality parameters and yield of rice cultivars in Melaleuca cajuputi agroforestry system. Biodiversitas 21: 3463-3470.  Interactions between rice cultivars and soil quality parameters rises problems in the attempt of increasing rice yield. The objective of this study was to assess soil quality parameters that affect the yield of 15 rice cultivars in an agroforestry system of ‘kayu putih’ (Melaleuca cajuputi) situated in Menggoran forest, Yogyakarta, Indonesia which have three soil types namely Lithic Haplusterts, Ustic Epiaquerts, and Vertic Haplustalfs. The observation was conducted on 21 soil quality parameters and yield of rice cultivars. The data were analyzed by using ANOVA, factor analysis, and stepwise regression. The highest yield of rice per hectare was attained by GM 28 in Ustic Epiaquerts with 6.493 tons ha-1, while Situ Patenggang and GM 28 in Vertic Haplustalfs as high as5.549 and 5.401 tons ha-1, respectively, and Situ Patenggang in Lithic Haplusterts as high as 4.893 tons ha-1. Soil quality parameters that had significant effect on the yield of rice cultivars were Clay, SMC, pH, SOC, N, Mg, Fe, Fg, and Bae. We suggested that rice cultivars recommendations for Lithic Haplusterts, Ustic Epiaquerts, and Vertic Haplustalfs are Situ Patenggang, Situ Patenggang or GM 28, and GM 28, respectively, in addition to fertilization based on limiting factors of each rice cultivars.
Semi-natural regeneration and conservation in agroforestry system models on small-scale farmers Priyono Suryanto; Ronggo Sadono; AISYA YOHANIFA; MUHAMMAD HABIB WIDYAWAN; Taufan Alam
Biodiversitas Journal of Biological Diversity Vol. 22 No. 2 (2021)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d220240

Abstract

Abstract. Suryanto P, Sadono R, Yohanifa A, Widyawan MH, Alam T. 2021. Semi-natural regeneration and conservation in agroforestry system models on small-scale farmers. Biodiversitas 22: 858-865. The regeneration capacity can provide an overview of the abundance of species so that it can be used to determine the potential and opportunities for the sustainability of agroforestry systems. The purpose of this study was to determine the capacity of semi-natural regeneration in agroforestry system models for small-scale farmers. The study was carried out in Banaran Sub-district, Playen District, Gunungkidul Regency, Special Province of Yogyakarta, Indonesia. The observation was conducted on plant diversity, floristic composition, and agroforestry contribution. The results showed that the mixed cropping (MC) model had a higher total of individuals and diversity compared to the trees along with border (TAB) model in the sapling and seedling level. The MC model was relatively shorter to the waiting time of harvesting compared to the TAB model. The MC models weakness was the relatively high competition and the lack of opportunities to growing annual crops. The TAB model had an advantage in developing annual crops in an agroforestry system, while longer in waiting time for harvesting perennial crops. This study recommends annual pruning in the MC model for optimal stand growth, while in the TAB model, it is the enrichment planting in sapling and seedling levels.
Metabolic activities of eight oil palm progenies grown under aluminum toxicity Eka Tarwaca Susila Putra; Benito Heru Purwanto; Cahyo Wulandari; Taufan Alam
Biodiversitas Journal of Biological Diversity Vol. 22 No. 8 (2021)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d220808

Abstract

Abstract. Putra ETS, Purwanto BH, Wulandari C, Alam T. 2021. Metabolic activities of eight oil palm progenies grown under aluminum toxicity. Biodiversitas 22: 3146-3155. In Indonesia, oil palm is mostly cultivated on red-yellow podzolic soils, which mainly contain the high availability of aluminum (Al). This condition might affect oil palm growth i.e stunted growth and root damage. Therefore, this study was aimed to characterize metabolic activities and growth of eight oil palm progenies under Al toxicity. The study was conducted from January to December 2018 in Bendosari Hamlet, Madurejo Village, Prambanan Sub-District, Sleman District, Province of Yogyakarta, Indonesia. The trial was laid out in a randomized complete block design (RCBD) factorial with three blocks as replications, with experimental factors including oil palm progenies and Al concentration. The observation was conducted on Al concentration in the planting medium, metabolic activities, and oil palm growth. The data were analyzed using ANOVA, PLS-SEM, stepwise regression, hierarchical clustering heatmap, and GGE-Biplot. The results showed that Simalungun, Dumpy, and Yangambi progeny could grow and adapt better than other progenies in Al toxicity conditions. The resistance to Al poisoning mechanism was shown by a relatively low activity of O2-, H2O2, MDA, and REL, whereas SOD, POD, GB, AARed, ?-Toch, TPC RDW and, SDW showed higher relatively.
Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP Taufan Alam; Priyono Suryanto; Supriyanta Supriyanta; Panjisakti Basunanda; Rani Agustina Wulandari; Dody Kastono; Muhammad Habib Widyawan; Nurmansyah NURMANSYAH; Taryono TARYONO
Biodiversitas Journal of Biological Diversity Vol. 22 No. 11 (2021)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d221106

Abstract

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.