Cultivated Area Research Articles

The Effect of Soundscape on Sense of Place for Residential Historical and Cultural Areas: A Case Study of Taiyuan, China

A soundscape carries the culture and memories of historical and cultural areas, capable of evoking people’s emotions towards a place. This paper aims to explore the influence of the soundscape on the sense of place in historical and cultural areas using a mixed-method approach. Conducting on-site measurements, questionnaires, and semi-structured interviews in four areas in Taiyuan, China, this research utilized structural equation modeling and grounded theory for analysis. Research findings: Firstly, the soundwalk method identified 11 categories of soundscapes and the main sources of noise in residential areas were traffic sounds and commercial sounds. Secondly, residents showed the highest preference for natural sounds and traditional activity sounds. Preferences for activities’ sounds and traditional sounds, along with the perceived frequency of daily life sounds, entertainment activities’ sounds, and natural sounds were positively associated with the sense of place, while the perceived frequency of commercial sounds, traffic sounds, and pet sounds was negatively associated. Lastly, from the grounded theory, this research showed that traditional sounds effectively enhanced residents’ sense of place by triggering memories, embodying culture, and connecting emotions. Daily life sounds linked residents’ lives and prompted visions, while local dialects evoked emotion and culture. Activities’ sounds served as lubricants for the place, primarily triggering residents’ sense of place from a lifestyle and emotional connection.

The Influence of Container Types and Potting Media on the Biometric, Phenological and Yield Parameters of Strawberry Cv. Winter Dawn

Strawberry being an annual herbaceous plant with delicious fruit can be easily grown in a container filled with a potting media and suitable for growing in terrace garden or rooftop gardening in urban areas where the area for cultivation is less. This intends to augment the farmer’s income and increase the overall production of strawberry. The study was conducted in the experimental field, Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology, and Sciences, Prayagraj (U.P.) during 2023-2024. The aim of the experiment was to determine the effect of container types and potting media on the biometric, phenological and yield parameters of strawberry cv. Winter Dawn. The experiment was laid out according to a factorial completely randomized block design. Observations on the biometric, phenological, and yield parameters of each plant were recorded during the study. The result of the statistical analysis revealed that among all the combinations of potting media, the combination of cocopeat, perlite and vermicompost in the ratio of 1:1:2 was found to be superior. Better biometric, phenological, and yield parameters were observed in plants grown in earthen pots. Based on the interaction effect, plants raised in PVC pots with a growing media ratio of 1:1:2 cocopeat + perlite + vermicompost (C2M1) result in maximum plant height (18.10 cm), plant spread (16.10 cm), number of leaves (26.67), number of fruits per plant (15.91) and total yield per plant (341.00 g). The study revealed that the minimum days to initiate first flower (47.10), flowering to harvest duration (27.67) and days to first fruiting (68.13) was reported in C2M1: PVC pots {(cocopeat + Perlite + Vermicompost) (1:1:2)}. Thus, strawberry production using cocopeat + perlite + vermicompost in 1:1:2 ratio in PVC Pots will ensure greater success in plant establishment and produce healthy and disease-free strawberries.

Biodiversity of Trichoderma species of healthy and Fusarium wilt-infected banana rhizosphere soils in Tenerife (Canary Islands, Spain)

Banana (Musa acuminata) is the most important crop in the Canary Islands (38.9% of the total cultivated area). The main pathogen affecting this crop is the soil fungal Fusarium oxysporum f. sp. cubense subtropical race 4 (Foc-STR4), for which there is no effective control method under field conditions. Therefore, the use of native biological control agents may be an effective and sustainable alternative. This study aims to: (i) investigate the diversity and distribution of Trichoderma species in the rhizosphere of different banana agroecosystems affected by Foc-STR4 in Tenerife (the island with the greatest bioclimatic diversity and cultivated area), (ii) develop and preserve a culture collection of native Trichoderma species, and (iii) evaluate the influence of soil chemical properties on the Trichoderma community. A total of 131 Trichoderma isolates were obtained from 84 soil samples collected from 14 farms located in different agroecosystems on the northern (cooler and wetter) and southern (warmer and drier) slopes of Tenerife. Ten Trichoderma species, including T. afroharzianum, T. asperellum, T. atrobrunneum, T. gamsii, T. guizhouense, T. hamatum, T. harzianum, T. hirsutum, T. longibrachiatum, and T. virens, and two putative novel species, named T. aff. harzianum and T. aff. hortense, were identified based on the tef1-α sequences. Trichoderma virens (35.89% relative abundance) and T. aff. harzianum (27.48%) were the most abundant and dominant species on both slopes, while other species were observed only on one slope (north or south). Biodiversity indices (Margalef, Shannon, Simpson, and Pielou) showed that species diversity and evenness were highest in the healthy soils of the northern slope. The Spearman analysis showed significant correlations between Trichoderma species and soil chemistry parameters (mainly with phosphorus and soil pH). To the best of our knowledge, six species are reported for the first time in the Canary Islands (T. afroharzianum, T. asperellum, T. atrobrunneum, T. guizhouense, T. hamatum, T. hirsutum) and in the rhizosphere of banana soils (T. afroharzianum, T. atrobrunneum, T. gamsii, T. guizhouense, T. hirsutum, T. virens). This study provides essential information on the diversity/distribution of native Trichoderma species for the benefit of future applications in the control of Foc-STR4.

Comparison of Extraction accuracy of Sugarcane from different resolution satellite images using Deep lab V3+ Mode

Abstract. Sugarcane is an annual or perennial persistent rooted tropical and subtropical herb that grows in tropical and subtropical regions. As China's production ranks among the world's leading, sugarcane industry is an important part of agricultural economy in China. As the largest sugarcane production center in China, Guangxi is one of the most suitable areas for sugarcane cultivation in China and even in the world. Sugarcane industry, as an agricultural advantageous industry in Guangxi, not only has a significant image to the national economy of the region, but also is closely related to the issue of security of national sugar supply. Continuous cropping of sugarcane is very common in Guangxi, which is very helpful for the concentration selection of sugarcane samples. The wide application of satellite remote sensing monitoring technology has become an indispensable means of natural resources monitoring. Using optical satellite remote sensing image to identify and extract sugarcane planting areas is of great significance to quickly and conveniently grasp the information of sugarcane distribution and yield. In this paper, the precision of sugarcane extraction from GF1 and GF2 satellite images is analyzed by using deeplab V3 + model, the effect of optical remote sensing images with different resolution on sugarcane extraction accuracy was studied to provide better data support for dynamic monitoring of sugarcane planting.

A study on training needs of chilli growers in Andhra Pradesh

The present study assesses the training needs of chilli growers of Andhra Pradesh. An ex-post facto research design was adopted for the study. Two districts, Guntur and Prakasam, were purposefully selected for the study, as they cover the highest area of chilli cultivation. Two mandals were selected from each district purposively based on the highest area and from each mandal, 5 villages were selected. Thirteen respondents from each village were selected randomly. Thus, a total sample size of 260 was selected for the study. After a thorough review of the literature, focal group discussions with chilli growers and consultation with experts, 7 different categories of training areas were identified. The data was collected using the personal interview method, using a pre-tested, well-prepared interview schedule and ranked based on mean score. The study revealed that among all the different categories of training needs, the respondents perceived crop protection and crop production as the most important training needs, with mean scores of 2.324 and 2.159 and were ranked first and second. Training needs pertaining to marketing, harvesting and post-harvest handling, processing and value-addition, nursery management and mechanization occupied the next 3rd to 7th ranks respectively. Hence, the extension personnel, scientists and policymakers shall keep the results of this study in view regarding what content needs to be focused on while preparing training programs for chilli farmers.

Research and application of land illegal behavior monitoring based on video image recognition

Abstract. Our country had increasingly high requirements for land management, especially for arable land, which was the most precious resource. Strict policies for protecting arable land are being implemented. The enforcement of satellite imagery in mega cities had certain limitations in terms of timeliness and accuracy. To meet the requirements of refined management, a high-altitude camera was constructed to form a near ground monitoring network covering the cultivated land area. Multi temporal image groups were obtained through video frame extraction. A monitoring sample library for typical behaviors of natural resources was established. Land objects closely related to illegal activities such as construction machinery and bulldozing areas were identified based on deep learning algorithms. By using the technology of bidirectional conversion between video spatial location and geographic coordinates, a fusion of spatial information video monitoring patterns was formed. Taking the 20000 acre permanent basic farmland area as an example, the recognition rate of illegal land related behaviors was about 81%. By combining approval information and conducting spatial analysis on the identified patterns, real-time warning information could be pushed. This application can effectively improve the timeliness of supervision and enhance the level of supervision.

Determinants of Profit Efficiency among Rice Farmers in Kilombero Valley, Morogoro, Tanzania

Farmers in the Kilombero Valley are experiencing a growing trend towards commercialization seen through the expansion in the cultivated land area rather than agricultural intensification. There is a modicum of information on whether the observed increase in commercialization in the area is associated with an increase in profit. This study used the stochastic profit frontier function to estimate the profit efficiency of rice commercializing farmers and the respective determinants. The study used data collected from 377 rice farmers who were selected by using a multi-stage stratified sampling method. Results indicate that rice commercialising farmers' mean profit efficiency level was 75.65%. This indicates that rice farmers can improve their efficiency levels by 24.4% without increasing the level of inputs used. Maximum likelihood estimates indicated that wage, price of fertilizer, rice area in hectares, and production assets value were significant in determining the profit efficiency of rice commercializing farmers in Kilombero. The study concludes that commercializing farmers in the study area was profit efficient. The study recommends that more emphasis on early formal education in farmers’ society be emphasized for the literate group is more profit-efficient than the illiterate. With the present national educational policy to support education, farming households should strategically take advantage of it as education has exhibited a positive impact on their efficiency. Different services (marketplaces and inputs dealerships) in the area should be improved further to create more room for rice farmers to improve their productivity and profitability.

Mapping the Land Use Changes in Cultivation Areas of Maize and Soybean from 2006 to 2017 in the North West and Free State Provinces, South Africa

Land use practices face significant pressure due to increased demand and conflicting needs. Several factors contribute to this trend, such as the ever-increasing human population, the increased demand for food production, and the expansion of industrial and agricultural areas. This paper, focused on the cultivation patterns and investigating changes in land use of maize and soybean over time (i.e., both genetically modified and non-genetically modified) in two South African provinces. The objective was to determine whether there was a net increase or decrease in land cover age for these two crops between 2006 and 2017 in the selected study areas. Hence, the study utilized ArcGIS (10.8.1) software to quantify and map the land used for the cultivation of maize and soybean from 2006 to 2017 in Free State and North West provinces. The results show both provinces to have minimal expansion or change in cultivation areas for both maize and soybean between 2006 and 2017. We concluded that both maize and soybean cultivation areas in these provinces, did not expand beyond the current agricultural areas (space), and did not encroach onto new land areas. As a result, both maize and soybean do not currently pose a threat to the surrounding landscape (i.e., natural vegetation) and are not in direct competition with other neighboring land use practices. We recommend that data on the annual planting or cultivation area be consistently gathered, analyzed, and mapped to monitor any alterations that could influence the current findings. This will also assist with any land use planning and management practices.

Diversity of wasps (Hymenoptera) in alfalfa (Medicago sativa L.) farms in Basrah Governorate, Southern Iraq

Studies on the diversity of parasitoid wasps in agroecosystems exemplify the first stage of recognizing the best species to be used in biological control programs. There is an increased effort to recognize the diversity of pests in agroecosystems, but information on agricultural environments in Iraq is still unknown. This study is interested in the diversity of wasps in a cultivated area in Basrah governorate and the identification of dominant species for potential application in biological control studies. Samples were collected from alfalfa farms between January and December 2020 using two insect collection methods: sweep nets and yellow pan traps in four stations in Basrah governorate. This paper confirms that there is a high diversity of wasp species in agricultural environments. During this study, 18 wasp species were recorded for the first time in Iraq. Gronotoma micromorpha recorded the highest annual relative abundance value of 26.5%, while Chalcis biguttata recorded the lowest relative abundance of 0.89% in most agricultural environments. Numerous studies on G. micromorpha indicate that it is a parasitoid of Liriomyza species (Diptera). Thus, this species may be an important agent in the biological control of this pest.

GACDNet:Mapping winter wheat by generative adversarial cross-domain networks with transformer integration for zero-sample extraction

Accurate extraction of winter wheat area is essential for wheat yield estimation. Remotely sensed images have limited coverage, are taken at different times, from different angles and in different geographical areas, and the spectral information of the same feature varies from image to image. Machine learning methods are very popular in extracting winter wheat planting area, there are differences between different images, namely the distribution differences between source domain data and target domain data, the results obtained by these methods directly applied to other areas are not satisfactory. To achieve cross regional extraction of winter wheat area, we propose generative adversarial cross-domain networks for image classification under the same image type. The cross-domain network proposed comprises a generative network and a feature extractor. The generative network creates diverse and acceptable samples from the initial input data, constrained by the contrast loss. The feature extractor converts the initial input data and the generated data into a high-level representation. Two time series datasets were constructed and a series of experiments were conducted on these datasets, obtaining high-precision and optimal classification results. Sample training was performed using 70%, 50%, 30% and 10% of the data on both datasets. The study results demonstrated the high performance and cross-domain capability of our network. Furthermore, the winter wheat cultivation area of the entire Zhoukou city was extracted, yielding results with an accuracy of 94.23%. Extensive experiments and applications on the dataset demonstrate that our method is feasible and reliable.

N-Acetylglutamic Acid Enhances Tolerance to Oxidative and Heat Stress in Humulus lupulus

Humulus lupulus (hop) is a necessary material in beer brewing because its female inflorescences (called hop cones) give a floral aroma, bitterness and foam stability to beer. Various aspects of growth conditions in the cultivation area, especially temperature, strongly affect the yield and quality of hop cones. Recent estimates suggest that climate change accompanied by global warming is negatively impacting hop production, with high temperatures reducing the expression of genes that regulate beneficial secondary metabolites in hops. This underscores the need for techniques to enhance hop tolerance to high temperatures. This study explores the potential of N-acectylglutamic acid (NAG), a non-proteinogenic amino acid, to confer hops with tolerance against oxidative and heat stress by suppressing ROS accumulation. Exogenous NAG treatment activated the expression of HlZAT10/12 and HlHSFA2, which are putative homologues considered master regulators in response to oxidative and heat stress in Arabidopsis thaliana (Arabidopsis). Additionally, histone acetylation, a histone modification associated with transcriptional activation, was increased at these stress-responsive genes in the NAG-treated hops. These findings reveal NAG as a potential chemical compound to mitigate hop production reduction caused by high temperatures and suggest the conservation of epigenetic modification-mediated regulation of gene expression in response to environmental stresses in hops.

Variations in provenance and transport of terrestrial organic matter in the Changjiang River during the flood season

River is a crucial channel for the transport of terrestrial organic carbon (OCterr) into the sea, and has significant implications for the global carbon cycle. However, with the intensification of human activities within the watershed (such as dams and changes in land use), the sediment and OCterr output from rivers have significantly decreased. To study the influence of human activities on the provenance and transport of particulate organic carbon (POC) exported from the Changjiang River Basin (CRB), we collected suspended particulate matter samples during the rainy season of 2021. The POC content exhibited an increasing trend from the headwater zone to the estuary. Results of three-end-member mixing model indicated that both soil-derived and autochthonous OC (OCauto) contributed approximately more than 40.0 %. Notably, OCauto experienced a significant increase from the Three Gorges Dam (TGD) to estuary in the mainstem, attributed to the sediment interception effect of the TGD. The POC contents in the headwater zone and Jinshajiang River in 2021 were lower compared to those in 2007, which can be attributed to a decrease in cultivated land area and increase sediment trapping by cascade dams. Affected by TGD, the POC content in the middle and lower reaches as well as the delta zone first decreased in 2003 and then increased from 2007 to 2021. Additionally, the degradation of lignin phenols and n-alkanes was influenced by the TGD, which prolonged the retention time of terrestrial plants. Compared to previous studies, the decrease in soil-derived OC and increase in OCauto in CRB, influenced by dams and land use, could have long-lasting effect on carbon burial in the ECS.

Physical properties and organic carbon in no-tilled agricultural systems in silty Pampas soils of Argentina

Context Under continuous long-term no-till farming, many silty soils develop platey and massive compacted structures in topsoil, ascribed to low crop diversification and intense agricultural traffic. Aims We hypothesise that agricultural scenarios of greater diversification and cropping intensity should increase carbon (C) inputs and total and particulate organic C, resulting in the disappearance of these platey and massive compacted structures and soil compaction. Methods The hypothesis was tested in 55 selected production fields (lots or macro-plots of trials with a cultivated area greater than 15 ha) and five non-cultivated sites across the Rolling Pampas of Argentina. The whole area was covered by fine, illitic, thermal, silty loams (Typic Argiudolls, US Soil Taxonomy; Typic Phaeozems, FAO Soil Map). Based on estimations of the crop intensity index (CII; proportion of days in the year with active crop growth) and recent agricultural history of crop sequences, sampled fields were grouped into five categories: soybean (Glycine max) monoculture (CII < 0.45; mean CII = 0.39); low intensity cropping sequence (CII = 0.45–0.60; mean CII = 0.50); high intensity cropping sequence (CII = 0.60–0.80; mean CII = 0.66); pastures for hay bale production (CII = 1.0); and quasi-pristine situations (areas with non-implanted and non-grazed grass vegetation or with negligible stocking rate, CII = 1.0). Key results Total C inputs to soil varied within ~1400–7800 kg C ha−1 year−1 and were significantly and positively related to crop intensity index (P < 0.0001, r = 0.83). The highest (P < 0.05) soil organic C levels were observed in the first 0.05 m of soil and quasi-pristine conditions (even higher than under pasture), and the lowest (P < 0.05) under soybean monoculture. In the 0.05–0.20 m soil layer, quasi-pristine conditions had significantly (P < 0.05) higher soil organic C levels; the other situations did not differ. Soil organic C and particulate organic C levels (0–0.05 m layer) were related to both CII and annual C input. Platey structures and clods >0.1 m (0–0.2 m layer) were negatively related to CII (r = −0.59 and −0.45, respectively; P < 0.0001) and C inputs from crops (r = −0.60 and −0.29, respectively; P < 0.01). Nevertheless, this did not result in soil compaction alleviation, as shown by soil bulk density, maximum penetration resistance and water infiltration variations. About 92% of the samples with soil bulk density above the threshold (1.35 Mg m−3), and about 32% of the total records, presented levels of maximum penetration resistance, aeration porosity and/or water infiltration beyond the values suggested as critical. Conclusions Although soil organic C in topsoil varied as hypothesised, the studied soil physical properties did not. This partially rejects our hypothesis. Implications This study underscores the intricate interplay between crop intensity, SOC enhancement, soil structure improvement and the persistent challenge of subsoil compaction.

God of iron and iron working in parts of Ǹsúkkā cultural area in Southeast Nigeria

This study is aimed at evaluating the influence of the god of iron on ironworking communities in Ǹsúkkā cultural area. In the study area, the Supreme God – Chúkwú Òkìkè, Chínēkè or Chúkwú Ábíàmà is believed to control the affairs of humanity. He is worshipped through intermediaries such as Ányánwù [Sun God], Àmádíòhà, Áhàjīōkù [fertility goddess], Àlà [earth goddess] and the god of iron, which is called by different names in the study area such as Ékwéñsū-Úzù, Òkóró-Údùmè, Chíkèrè Àgùrù and Áshéné. But, how effective is the god of iron in the study area? To provide answers to this question, ethnographic research method, involving in-depth structured interviews, field observation and photographic documentations, was used to gather data on the subject matter while data collected were analysed descriptively. This article is of the view that the influence of the god of iron in the study area is whittling down as a result of Westernisation and Christianity.Contribution: The study indicates an increasing resistance to the Euro-centrism, which has suppressed beliefs in the god of iron and the associated practices.

Assessing the Water Footprints (WFPs) of Agricultural Products across Arid Regions: Insights and Implications for Sustainable Farming

Water resource management has emerged as a pivotal concern within arid regions in recent times. The water footprint (WFP) index stands out as a principal gauge for facilitating comprehensive watershed management. This study endeavors to compute the WFP of diverse agricultural products encompassing major crops, orchards, cucurbits, and medicinal plants across arid regions. This research focuses on three distinct climate scenarios: the Shazand Plain with a semidry climate, the Khomein Plain characterized by a dry climate, and the Saveh Plain exhibiting a very dry climate. This study also seeks to ascertain the climate most conducive to cultivating crops from a WFP (green, blue, and gray) perspective. To achieve these objectives, this study employed the CropWat family software to determine crop water requirements, as well as considering crop yield and relevant parameters for calculations. The findings of the investigation unveiled that the cultivated areas in the respective climates amounted to 19,479 ha (semidry), 18,166 ha (dry), and 41,682 ha (very dry). These areas were allocated as follows: 88%, 85%, and 55% for crops; 11%, 13%, and 40% for orchards; and 1%, 2%, and 5% for cucurbit crops. Importantly, the very dry climate was predisposed to allocating more land for low-water-demand orchards. Among the major crops, wheat occupied 44%, 39%, and 43% of the total areas in the semidry, dry, and very dry climates, respectively. Analyzing the overall agricultural output in these climates, it was revealed that over 79%, 69%, and 66% of production correlated with crops; 17%, 19%, and 22% with orchards; and 4%, 12%, and 12% with cucurbits, respectively. In terms of water consumption, maize and apples emerged as the highest performers, with varying consumption patterns across different crops. Interestingly, canola exhibited a substantially higher WFP, surpassing wheat and barley by 56.48% and 58.85%, respectively, in dry climates. Cucurbit crops, on the other hand, displayed a lower WFP in dry climates, which could potentially encourage their cultivation. The influence of climate warming on canola’s WFPgray introduced complexity, challenging the conventional correlation between WFP and yields. Medicinal plants consistently demonstrated lower WFP values, underscoring the need for deliberate and considerate cultivation decisions in this regard.

A study on problems and suggestions of chilli growers in Andhra Pradesh, India

The present study assesses the training needs of chilli growers of Andhra Pradesh. An ex-post facto research design was adopted for the study. Two districts, Guntur and Prakasam, were purposefully selected for the study, as they cover the highest area of chilli cultivation. Two mandals were selected from each district purposively based on the highest area and from each mandal, 5 villages were selected. Thirteen respondents from each village were selected randomly. Thus, a total sample size of 260 was selected for the study. After a thorough review of the literature, focal group discussions with chilli growers and consultation with experts, 7 different categories of training areas were identified. The data was collected using the personal interview method, using a pre-tested, well-prepared interview schedule and ranked based on mean score. The study revealed that among all the different categories of training needs, the respondents perceived crop protection and crop production as the most important training needs, with mean scores of 2.324 and 2.159 and were ranked first and second. Training needs pertaining to marketing, harvesting and post-harvest handling, processing and value-addition, nursery management and mechanization occupied the next 3rd to 7th ranks respectively. Hence, the extension personnel, scientists and policymakers shall keep the results of this study in view regarding what content needs to be focused on while preparing training programs for chilli farmers.

Comparative study on the morphological characteristics, nutritional quality, and tastes of large yellow croaker from five cage culture areas: Relay farming improved fish quality

Relay culture of large yellow croaker from Fujian to Zhejiang is a good model for improved fish quality. However, there is a scarcity of information regarding the comprehensive evaluation of quality alterations following relay culture. In the present study, the large yellow croaker from Ningde (ND) was transferred to net cages in Dongtou (DT), Nanji (NJ), Dongji (DJ) and Dacheng (DC) for continued culture. The 15-month-old fish from ND, DJ, DC, DT, and NJ were sampled on-site for a subsequent comparative study on the morphological characteristics, nutritional quality, and tastes. Results showed that the fish from DJ, DC, DT, and NJ had a lower condition factor (CF) and a higher ratio of body length to height (L/H) than those from ND. The fish from DJ, DC, DT, and NJ, at rates of 77.8%, 91.3%, 95.7%, and 100%, exhibited different geometric morphometrics from those from ND using 10 typical landmarks and Morpho J software. Ralay culture also significantly affected the histology and ultrastructure of muscle fibers, as reflected by an increase in the muscle fiber density and decreases in the ratio of fiber area to gap, I band width, and sarcomere length in the relay culture fish compared to the ND fish. The relay culture fish showed low lipid content and high moisture content. Relay culture also significantly affected the levels of some nutritional composition, including deceases in the levels of hydrolyzed glycine, C16:0, C18:1n9c, C18:2n6c, Σn-6 PUFA (polyunsaturated fatty acids), Fe (iron), Mn (manganese), and Co (cobalt), and increases in the levels of C20:5n3 (EPA, eicosapentaenoic acid), C22:6n3 (DHA, docosahexaenoic acid), C18:0, Σn-3/Σn-6 PUFA, Σn-3 PUFA, Al (aluminum), Se (selenium), Na (sodium), and Ca (calcium). The levels of taste substances such as guanosine monophosphate (GMP) and most flavor amino acids sharply declined after relay culture. However, the ratio of taste activity value (TAV) of ΣDAA to ΣBAA (delicious amino acids/bitter amino acids) in the DT and NJ fish was higher than that in the ND fish. Significant negative relationships between market price and quality parameters were found, including CF, crude lipid, C18:1n9c, C18:2n6c, Σn-6 PUFA, Fe, Mn, and TAV of GMP, whereas there were positive relationships between market price and 4 quality parameters such as L/H, moisture, Σn-3/Σn-6 PUFA, and the ratio of TAC of ΣDAA to ΣBAA. In conclusion, relay culture improved large yellow croaker quality by changes in morphological characteristics, nutritional quality, and tastes, which provides a theoretical basis for quality improvement.

Winter Wheat Mapping in Shandong Province of China with Multi-Temporal Sentinel-2 Images

Winter Wheat Mapping in Shandong Province of China with Multi-Temporal Sentinel-2 Images

Juridical Analysis of the Position of the Surakarta Kasunanan Palace as a Cultural Heritage Area Linked to the Basic Agrarian Law (UUPA)

With the provisions of the Fourth Dictum of the UUPA, regarding the position of the Surakarta Kasunanan Palace as a cultural heritage area, there are still differences of opinion regarding its ownership status. This research aims to examine the position of the Surakarta Kasunanan Palace after the enactment of the UUPA, as well as to analyze the ownership status of the Surakarta Kasunanan Palace as a cultural heritage area. The research method is normative juridical. The type of data used is secondary data. Data analysis techniques using deductive reasoning presented descriptively. The results of this research are: first, the position of the Surakarta Kasunanan Palace after Indonesian Independence, based on: Law Number 10 of 1950 was designated as part of Central Java Province; and based on Law Number 18 of 1965, de jure Swaraja Surakarta was abolished. Then, after the UUPA came into force, the position of the Surakarta Kasunanan Palace should have shifted to the State. However, in reality, currently the Surakarta Palace Sultanate still has and exercises authority over the lands it owns and owns based on Presidential Decree Number 23 of 1988. Second, the ownership status of the Surakarta Kasunanan Palace as a cultural heritage area is stipulated in the Regulation of the Minister of Culture and Tourism Number PM.03/PW.007/MKP/2010 belongs to the Surakarta Kasunanan Palace as an indigenous community in accordance with Article 13 of the Cultural Heritage Law. The Surakarta Kasunanan Palace is a traditional community, because the King is the traditional leader who still has the same territorial area and lineage and has authority within and outside his traditional area. If the Kasunanan Surakarta Palace is interpreted as a traditional institution, and ownership of the land of the Surakarta Kasunanan Palace becomes a customary right for the Surakarta Kasunanan Palace, then as a consequence the Government in taking over the land of the former Surakarta self-government must also pay attention to the principle of recognizing these customary rights.

Assessing paddy methane emissions through the identification of rice and winter crop areas using Sentinel-2 imagery in Korea

AbstractThe global efforts on reducing methane (CH4) emissions was emphasized in COP 28 and the potential for improved estimation became feasible through bottom-up data acquisition with advanced remote sensing technology. The objectives of this study were to extract summer rice and winter crop cultivation areas based on satellite images and to incorporate into estimating CH4 emissions in South Korea for the year 2020. Satellite images of Sentinel-1 and Sentinel-2 were acquired from European Space Agency. Rice paddy was classified with backscattering coefficient from Sentinel-1 images, while the normalized difference vegetation index from Sentinel-2 images was used to identify winter cropping field. The equation of IPCC guidelines was used to estimate CH4 emissions by incorporating the areas of rice paddy and winter crop extracted with the respective satellite image. National farming statistics were used to determine the scaling factors for paddy organic matter and water management practices. The estimated areas for rice paddy and winter crop cultivation were 712,237 ha and 117,840 ha, respectively. The rice paddy areas were primarily concentrated in the western regions of the Korean peninsula, whereas winter crop cultivation was predominantly found in southern part of the country. The total amount of CH4 emissions was 6272 Gg CO2 eq./yr when considering rice straw and winter cropping practices into estimation (modified Tier 2 method). This represents a 7% increase compared to the method that considered solely the rice straw incorporation (current Tier 2 method). The CH4 emissions per unit area were also 8.82 tons CO2 eq./ha/yr with the modified Tier 2 method, indicating a 10% greater compared to the current Tier 2 method. Substantial CH4 emissions were primarily concentrated in western regions where extensive rice paddy cultivation occurs, while greater CH4 emissions per unit area were predominantly found in southern regions with substantial winter crop cultivation. The study findings hold importance for improving the accuracy of CH4 emissions estimation by employing bottom-up approach that utilizes satellite imagery to assess rice paddy and winter cropping areas. Further study would be needed to incorporate field-based data on rice crop management practices, such as rice straw and water management, to further refine CH4 emission estimation method.