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AGRIVITA, Journal of Agricultural Science
Published by Universitas Brawijaya
ISSN : 01260537     EISSN : 24778516     DOI : https://doi.org/10.17503
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
AGRIVITA Journal of Agricultural Science is a peer-reviewed, scientific journal published by Faculty of Agriculture Universitas Brawijaya Indonesia in collaboration with Indonesian Agronomy Association (PERAGI). The aims of the journal are to publish and disseminate high quality, original research papers and article review in plant science i.e. agronomy, horticulture, plant breeding, soil sciences, plant protection and other pertinent field related to plant production. AGRIVITA is published three times per year. The Journal has been indexed in SCOPUS, Scimago Journal Ranks (SJR), Emerging Source Citation Index ( ESCI-Web of Science), EBSCO, ProQuest, Google Scholar and others international indexing. AGRIVITA is accredited first grade (Sinta 1/S1) for five years (2018-2023) based on Decree No: 30/E/KPT/2018 by Ministry of Research, Technology and Higher Education (Ristek Dikti), The Republic of Indonesia. We accept submission from all over the world. All submitted articles shall never been published elsewhere, original and not under consideration for other publication.
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Articles 20 Documents
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Search results for , issue "Vol 44, No 2 (2022)" : 20 Documents clear
Somatic Embryos Induction of East Kalimantan Local Rice (Oryza sativa L.) Cultivars and In Vitro Selection Against Salinity Muktirianur Muktirianur; Bambang Supriyanto; Widi Sunaryo; Nurhasanah Nurhasanah
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v0i0.2193

Abstract

Soil salinity is one major environmental constraint on rice production, especially in coastal areas. The development of salt-tolerant genotypes is considered to be the most effective breeding strategy to overcome the constraint. This study aims to induce somatic embryos formation of East Kalimantan local rice cultivars and to obtain tolerant somatic embryos under saline condition via in vitro selection. Four commonly cultivated local rice cultivars, namely Buyung, Siam, Ketalun Tawar and Serai Gunung, were used in this study. The somatic embryos were produced using three different plant growth regulator (PGR) compositions. The salinity tolerance level of somatic embryos was induced by in vitro selection in salt toxicity medium containing 0 mM; 50 mM; 100 mM; 150 mM; 200 mM NaCl. The best medium for somatic embryogenesis contains 1 mg/l 2,4-D + 0.5 m/l  BAP, resulting the highest percentage of cream and white non-compact callus on the tested cultivars. More than 70% of the somatic embryos were tolerant against salinity (NaCl 200 mM). However, only somatic embryos derived from Serai Gunung could regenerate into normal plantlets.
Potato Fluctuation and Risk Preference of Potato Farming in the Bromo Plateau, Indonesia Rosihan Asmara; Wenny Mamilianti; Nuhfil Hanani; Moch. Muslich Mustadjab
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.3650

Abstract

Potato farming in Indonesia is performed in the highlands, has a high production risk due to sloping land topography and steep slopes. In addition, low managerial ability in responding to sources of production risk results in the input allocation producing non-optimal production. This research aims to identify production fluctuation and farmers’ risk preferences, measure the level of technical efficiency, and determine the effect of risk preference on technical efficiency. The respondents in this study are 83 farmers. The Just and Pope risk function is used with a utility function approach to finding farmers’ risk preferences. The stochastic Frontier Cobb Douglas processes technical efficiency measurements. While to find out the influence of the factors that influence efficiency, Tobit regression is used. The analysis shows that the respondent’s behave risk-takers amounted to 62.65%. Respondents have not yet reached technical efficiency with an average level of technical efficiency of 0.774. Education, frequency of counseling and training, the application of terrace systems have a significant positive effect on technical efficiency, while land slope has a significant negative impact. Risk preference isn’t affected by technical efficiency and shows positive signs.
Land Suitability Analysis for Agricultural Land Use using Hyperscale DEM Data Sativandi Riza; Masahiko Sekine; Ariyo Kanno; Koichi Yamamoto; Tsuyoshi Imai; Takaya Higuchi
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.2985

Abstract

Cropland suitability analysis is a crucial process for achieving the optimum utilization of land use. It is frequently used today and continues to develop, especially in the methods. Digital soil mapping is a new technique that can generate spatial predictions of soil attributes obtained from digital soil covariates, reducing the cost, time, and land-use suitability evaluation accuracy. This study aims to determine the land suitability for agriculture commodities based on a hyperscale soil texture predictive model and compare it with the conventional land-use suitability evaluation based on determining soil texture. The target agricultural commodities in this study are leafy vegetables, carrots, apples, and coffee. This study finds that the Hyperscale Soil Texture estimation model can be used as a parameter for land suitability assessment for agricultural commodities. The prediction obtained by this model is not significantly different from that obtained by the traditional approach. This research discovers that the two procedures produced similar outcomes. The hyperscale approach can be an alternative method for land suitability estimation and reduce the time and cost compared to traditional techniques.
Stability Analysis of Finger Millet Genotypes Across Diverse Hilly and Mountainous Environments in Nepal Manoj Kandel; Bishnu Prasad Kandel; Madhu Sudhan Ghimire; Arjun Bastola; Puruswattam Bahadur Runiyar
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i1.3039

Abstract

The interactive influence of the genotype and environment (GxE) affects the selection criteria of fingermillet (Eleusine coracana L.) genotypes. Sixteen fingermillet genotypes are evaluated for stability of grain yield performance in three hilly and mountainous environments viz Dolakha, Ramechhap, and Sindupalchowk in rainy seasonsof 2019. This study intends to determine the interaction between genotype and environment on growth and yield performance of fingermillet genotypes. The results show that there are significant differences between the genotypes for grain yield. The pooled analysis show significant (p<0.05) variation in GxE interaction for grain yield. The genotypes GE-0382, KLE-216, NE-94, and KLE-559 are found environmentally sensitive, producing higher grain yield throughout the environments. Genotypes GE-0382 and KLE-559 have the regression coefficient of 1.30 and 1.35, respectively. The coefficient of determination (R2) for genotypes viz GE-0382 and KLE-559 are high as 0.9, confirming their high constancy for the solidity across the different locations. Further GGE biplot analysis reveals that the genotype GE-0382 (3.46 t/ha) and KLE-559 (2.74 t/ha) are more secure and adaptable genotypes over the tested environment. Thus, these genotypes presumably are used to develop suitable finger millet varieties for general cultivation across the mid-hill environment of Nepal.
Longday Photoperiod Accelerates Flowering in Indonesian Non-Flowering Shallot Variety Fazat Fairuzia; Sobir Sobir; Awang Maharijaya; Masaki Ochiai; Kunio Yamada
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.3053

Abstract

The shallot flowering ability is essential to increase productivity by assembling superior varieties through the hybridization and botanical seed or true shallot seed (TSS). The photoperiod length greatly influences flowering in shallot, which plays a significant role in the flowering initiation. This research aims to study flowering responses with different photoperiods in shallots. Six shallot varieties: Lokananta, Bima Brebes, Rubaru, Palasa, Biru Lancor, and Batu Ijo, were grown in a greenhouse under a short-day photoperiod, 10 hours of natural condition photoperiod for 60 days. Furthermore, half of the plants are moved to long-day treatment. The temperature during plantation is around from 7-13°C (similar to Indonesia’s upland temperature). The results indicate that long-day photoperiod increased the shallot flowering response on the five shallot varieties tested, except Rubaru. Rubaru could not produce flowers under both photoperiod treatments 120 days after plantation (DAP). Lokananta variety is the most responsive variety to flower, even on short-day photoperiod. Palasa variety, which could not flower under Indonesian photoperiod conditions, could produce flowers on long-day treatment and underplanting conditions at low to moderate temperatures.
Corrigendum Agrivita Agrivita
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.3752

Abstract

Corrigendum to “Synergistic Action of PGPR and Biofungicide with Active Ingredient of Cladosporium clasporioides to Control White Rust on Chrysanthemum” [AGRIVITA Journal of Agricultural Science, 44(1), 31-39]
Mapping of Indonesia’s Agricultural Insecticides in 2021: Registered Products, Future Research Opportunities, and Information Dissemination Ignatius Putra Andika; Edhi Martono
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.3375

Abstract

Since the onset of green revolution in Indonesia, insecticides have become an indispensable tool to manage insect pests. However, the increasing concern over human and environmental health, coupled with the establishment of insecticide-resistance insect populations, has urged the reduction of chemical insecticide use. But as safer novel technologies suffer in their availability, result reliability, practicality, and cost-results efficiency that farmers seek; chemical insecticides remain the option for many farmers. Understanding insecticides availability to Indonesian farmers and their current uses and situation. The pin point was made to maximize their effectiveness and later reduce risk caused by their use. Pyrethroid was the most registered insecticide group followed by other broad-spectrum insecticide groups, such as organophosphates and carbamates. Insect insecticide resistances have been evaluated for many major insect pests in high-value commodities and staple crops, unfortunately it misses several important species. This review used initial data to demonstrate knowledge gaps that still require further research and suggested research themes which may counter these opportunities. Besides, it suggests a working framework to enhance technology adoption by farmers. Reducing chemical insecticide should be a common goal and a collaborative effort, and in order to divert the adverse effects while maximizing their effectivity in the field.
Rhyzopertha dominica Fabricius (Coleoptera: Bostrichidae): Growth and Development on Six Maize (Zea mays L.) Varieties Ludji Pantja Astuti; Surya Setyawan; Tita Widjayanti
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.3716

Abstract

The research aimed to evaluate the Rhyzoperta dominica growth and development on six maize varieties. The No-choice method was adopted to evaluate the R. dominica life cylce from February to September 2018. Based on the result, the R. dominica growth and development were appropriate to be examined by the number of eggs, larvae, pupae, and F1 progenies and the percentage of weight loss rather than using the development time, the stage of development time, the median development time, the growth index of larvae, the potential of biotic, and susceptibility index. The development and the median development time were positively correlated with number of eggs, larvae, pupae, and F1 progenies. The R. dominica growth and development were faster on maize ‘ROK’ variety than other maize varieties. The highest number of eggs, larvae, pupae, and F1 progenies and the percentage of weight loss were detected on ‘ROK’ variety. On the other hand, the lowest growth and the longest development were observed on ‘Anoman’ variety. The variation of the R. dominica growth and development was due to the variation of the physical and biochemical characteristics of maize varieties.
Performance of Annona Plants Subjected to Different Graft Combinations, Soil Types and Iron Fertilization May Hammoud; Zeina El Sebaaly; Saleh Mobarak Alturki; Salim Kattar; Youssef Najib Sassine
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.2626

Abstract

In the last decade, annona crop was introduced to Lebanon. This experiment was conducted to enhance the adaptation of annona to local conditions. Three scion/rootstock combinations were obtained from self– and cross– cleft grafting of Annona squamosa (Sq) and Annona cherimola (Ch), planted in calcareous “white soil” and clay–loamy “red soil”, and fertilized or not by iron (Fe) through fertigation. In the third year, the treatment red soil–iron fertilization–Sq/Ch had significantly highest plant height, trunk diameter, leaf number, number of primary roots, fruit number and yield. In the third year, despite iron fertilization, plants of the three graft combinations cultivated in red soil had higher flower number, fruit number, individual fruits weight and yield, than those planted in white soil. In the same year, iron fertilization in white soil had only affected total dry mass, leaf mass fraction and leaf iron content. However, iron fertilization of Sq/Ch planted in red soil has improved leaf number, primary root number, primary root length, leaf chlorophyll index, and leaf iron content compared to non–fertilized plants. Conclusively, iron fertilization in red soil could be a useful method improving the performance and yielding capacity of annona crop mainly in Sq/Ch combination.
Automatic Differentiating of Postharvest Banana Fruits with High Traits Using Imagery Data Candra Dewi; Wayan Firdaus Mahmudy; Solimun Solimun; Endang Arisoesilaningsih
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.3648

Abstract

Visually differentiating banana cultivar with high similarity in shape, color and peel texture requires skill and experience during harvesting to reduce mistake on identifying cultivar. This study aims to identify automatically some similar banana cultivars using banana finger imagery and computer vision. The identification process was carried out to distinguish two groups of bananas with high similarities, namely group 1 (Ambon, Hijau, Goroho) and group 2 (Barlin, Mas). The test was conducted on the pair of datasets of unripe Ambon-Hijau-Goroho, ripe Hijau-Goroho, ripe and unripe Barlin-Mas. Testing was done to determine the performance of identification and to find out the most effective characteristics that could be used as cultivar identification. Results of classification using extreme learning machine (ELM) showed that texture features extracted from local binary pattern (LBP) could accurately distinguish unripe Ambon-Goroho, unripe Goroho-Hijau, ripe Goroho-Hijau with 100% accuracy. While unripe Ambon-Hijau, unripe Barlin-Mas and ripe Barlin-Mas could be optimally distinguished using a combination of shape and peel texture features with accuracy of 93.39%, 89.68%, 99.31% respectively. This result indicated that the proposed method could be used as an alternative of automatic banana sortation during post-harvest. The use of shape and peel texture features had shown effectively differentiating these high similarity banana cultivars.

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