Rice Planting Research Articles

Polypeptide urea increases rice yield and nitrogen use efficiency through root growth improvement

ContextElucidating rice root growth and development characteristics is essential for improving nitrogen use efficiency (NUE) and grain yield (GY) of crops, particularly in light of innovations such as polyaspartic acid (PASP)–urea formulations. However, the effectiveness of PASP–urea on the morphological properties of rice roots is insufficiently explored. ObjectiveWe aimed to examine the effect of PASP–urea on root morphology properties, NUE, and grain yield of mid-season rice in southwest China. MethodsIn 2016 and 2017, a two-factor randomized block design experiment was conducted in Sichuan, China, during the rice planting season. Three N treatments: no N (control), conventional urea [CU], and polyaspartic acid–urea [PU] were administered to two rice varieties: Yixiangyou 2115 and Fyou 498. ResultsOur findings showed that grain yield and nitrogen recovery efficiency (NRE) of rice were closely related to the root surface area density (RSAD), root length density (RLD), and root volume density (RVD) of rice. Compared to the CU treatment, the PU application significantly boosted the root dry matter weight, RLD, RVD, and RSAD of both varieties by 12.00–16.87 %, 0.16–28.98 %, 12.41–37.06 %, and 8.14–33.66 % at the jointing, heading, and maturity stages, respectively. This contributed to a 0.37–15.63 % and 23.45–48.12 % increase in grain yield and NRE, respectively, in both years, and a 12.26–15.69 % increase in N partial productivity efficiency (NPPE) in 2017 by improving the effective panicle number per unit area, spikelets per panicle, and N uptake. ConclusionNRE and grain yield of rice were significantly increased by PU application by improving the rice root system. ImplicationsThe study findings offer insight on how PASP–urea application influences the root morphology of rice and its relationship with grain yield and NRE while offering novel strategies and concepts for optimizing N use in rice cultivation.

Vegetation diversity based on peat hydrological units for supporting cattle production in West Kalimantan, Indonesia

Abstract. Setiawan D, Jayanegara A, Nahrowi, Kumalasari NR. 2024. Vegetation diversity based on peat hydrological units for supporting cattle production in West Kalimantan, Indonesia. Biodiversitas 25: 2011-2019. This study determined the characteristics of forage supply, composition, and diversity in various West Kalimantan Peat Hydrological Units (PHU) and the capacity for livestock development. The methods used were a combination of surveys, direct observations, and measurements of samples of peat hydrological units commonly used as pasture by farmers. The results showed that the pattern of providing forage for livestock is that the majority of farmers are in the productive age category (41-60 years), the education level was only elementary school, livestock farming was only a side business (78.33-81.67%), and the mowing capacity was still above livestock feed requirements. Important Value Index (IVI) in Mempawah Ageratum conyzoides (32.34%), Pontianak IVI Digitaria sanguinalis (27.17%), Kubu Raya IVI Cyperus brevifolius (22.43%). The forage species diversity index (H) of the three districts in West Kalimantan was classified as moderate or high. The species Richness Indices (R') for Mempawah, Pontianak, and Kubu Raya were 5.01, 6.22, and 6.41, respectively. The carrying capacity index in Kubu Raya (2.01) and Mempawah (5.19) was included in the safety criteria because it has a CCI above 2. In conclusion, The West Kalimantan livestock population can be increased by utilizing land in rice fields, dry fields, community forests, and plantations as a source of diverse forage vegetation.

Implementasi Kebijakan Penyaluran Pupuk Bersubsidi Dalam Upaya Peningkatan Produksi Padi di Subak Kabupaten Bangli

The agricultural sector is an important sector in providing food and has a direct impact on the basic needs of the Indonesian people. The role of farmers and government is needed to increase the amount of rice production. Increasing the amount of rice production by farmers is carried out by continuing to plant rice and increasing the amount of rice production. Due to this, the government issued a policy of distributing subsidized fertilizer in an effort to help farmers increase rice production. Bangli Regency is a district that has land that has the potential to produce rice. In this regard, in efforts to implement the subsidized fertilizer distribution policy, the Department of Agriculture, Food Security and Fisheries of Bangli Regency has the task of assisting farmers in efforts to increase rice production. The purpose of this research is to find out how the Subsidized Fertilizer Distribution Policy is implemented in an effort to increase rice production in Subak, Bangli Regency, using qualitative methods and using research indicators proposed by George C. Edwards III (2009), namely communication, resources, disposition and bureaucratic structure. The results of this research show that communication, resources, disposition and bureaucratic structure are still not running optimally. Thus, the Department of Agriculture, Food Security and Fisheries of Bangli Regency needs to make improvements to each indicator. extension and improving the scheduling of extension and assistance to farmers.

Rice phenology monitoring via ensemble classification for an extremely imbalanced multiclass dataset of hybrid remote sensing

This research provides a new approach for monitoring crops, especially rice planting, using hybrid remote sensing by aligning direct observations via Area Sampling Frame (ASF) surveys and earth observations via the LANDSAT 8 spectral indices. ASF surveys classify the land cover into eight groups, four associated with rice phenology. There's probably an imbalance between the classes in the multi-class ASF dataset. Often, when dealing with such extremely multiclass datasets, the performance of conventional classifiers is not adequate. Therefore, this study adopts a resampling technique to improve ensemble classification performance for handling extremely imbalanced multiclass ASF datasets. This research has added resampling methods, ROS (Random Over Sampling) and SCUT (SMOTE and Cluster-based Undersampling Technique), to the ensemble model, namely Bagging and Random Forest (RF), which have an impact on improving classification performance. The results showed that ROS-RF performed well in classifying multiclass on the ASF Survey with accuracy (90%), average sensitivity (90%), average specificity (99%), and balanced accuracy (94%). The variable importance (VI) with the highest ranking based on the Mean Decrease Gini (MDG) is the Modified Normalized Difference Water Index, which was recorded by the LANDSAT 8 satellite in one period before (MDWIt-1). However, the nine variables included in the classification generally contribute almost the same level of importance. The recommended classification strategy for highly imbalanced multi-class datasets is ROS-RF, which contributes to improving RF classification performance. The initial step was repeating minority samples until the class distribution was balanced before executing the classification stage.

Risk Assessment of Spodoptera exempta against Food Security: Estimating the Potential Global Overlapping Areas of Wheat, Maize, and Rice under Climate Change.

Spodoptera exempta, known as the black armyworm, has been extensively documented as an invasive agricultural pest prevalent across various crop planting regions globally. However, the potential geographical distribution and the threat it poses to host crops of remains unknown at present. Therefore, we used an optimized MaxEnt model based on 841 occurrence records and 19 bioclimatic variables to predict the potential suitable areas of S. exempta under current and future climatic conditions, and the overlap with wheat, rice, and maize planting areas was assessed. The optimized model was highly reliable in predicting potential suitable areas for this pest. The results showed that high-risk distribution areas for S. exempta were mainly in developing countries, including Latin America, central South America, central Africa, and southern Asia. Moreover, for the three major global food crops, S. exempta posed the greatest risk to maize planting areas (510.78 × 104 km2), followed by rice and wheat planting areas. Under future climate scenarios, global warming will limit the distribution of S. exempta. Overall, S. exempta had the strongest effect on global maize production areas and the least on global wheat planting areas. Our study offers a scientific basis for global prevention of S. exempta and protection of agricultural crops.

Unearthing Study in Asnafs' Large-Scale SMART Paddy-Field (SMART SBBA): An Exploratory Case of Farmers in Yan, Kedah

The Asnafs' Large-Scale SMART Paddy Field (SMART SBBA) project is an initiative to consolidate rice paddy land through contract farming through a management system. It is to optimize the use of existing resources and increase the efficiency of planting activities and post-harvest production. The project initiative appears to be successful in helping rice farmers manage their fields systematically and increase the yield of higher-quality rice. SMART SBBA by the Kedah State Zakat Board (LZNK) has the potential to eradicate the poverty rate among asnafs in Kedah, in addition to boosting the local economy. Therefore, this preliminary study is to explore the SMART SBBA project through the experience and involvement of paddy farmers in the first season and the second season. This study applied exploratory and descriptive methods from focus group interview data. Results showed that the farmers were satisfied with the overall SMART SBBA LZNK management. However, most rice farmers face the challenges of agricultural input costs, including the high cost of seedlings, fertilizers, and pesticides, which is a huge obstacle for rice farmers in carrying out rice planting activities.

Using satellite image data to identify rice varieties through linear spectral unmixing method (case study: Karangjati Sub District, Ngawi Regency)

<p>Remote sensing technology has increasingly emerged as a potent tool for precision agriculture, particularly in facilitating the mapping and monitoring of crops on a large scale. An application of this technology is the identification of different types of rice by analyzing the pixels acquired in satellite images. Regrettably, the pixels in the image have been mixed from different recorded items. Therefore, they have the potential to influence the outcome of the identification. An effective approach to addressing this problem is to employ the linear spectral unmixing (LSU) technique. The LSU approach quantifies the ratio of pure objects in every pixel of an image by utilizing the spectral value associated with the endmember of the rice variety. The investigation was carried out in the Karangjati District during the generative stage (70 ± DAP) of the rice planting season. The data indicates that the dominant variety is Inpari 32 HDB. The data validation tests, which involved the use of a confusion matrix and Kappa analysis, resulted in an overall accuracy rate of 85.48% and a Kappa analysis score of 70.6%.<strong></strong></p>

Difference in Cd accumulation among varieties with different growth duration corresponding to typical agro-climate condition in rice ratooning system.

The ratoon rice planting area is gradually expanding, but there has been relatively little research on ratoon rice grains contaminated with Cd. In this study, five ratoon rice varieties were selected and divided into three groups according to early-maturity (growth duration: 100-110 days), mid-maturity (growth duration: 110-120 days) and late-maturity (growth duration: 120-130 days) varieties. Field experiments were done to study the differences in Cd accumulation among ratoon rice varieties with different growth duration. The results showed that the Cd accumulation and concentration of grains spikelet at each growth stage in the main crop were in the order of late-maturity > mid-maturity > early-maturity varieties. However, the trends in Cd concentration and accumulation in grains spikelet during the ratoon crop were the opposite. Analysis found that as the growth duration of the variety extended, the accumulated temperature and daily average temperature in the main crop increased, which significantly increased the translocation factors of Cd from root, stem, and leaf to grains spikelet, and increased the daily average Cd accumulation rate in grains spikelet. The daily average temperature in the ratoon crop increased as the growth duration shortened. The early-maturity variety had higher Cd accumulation in stubble, which promoted the translocation of Cd from the root, stem, and leaf of the plant to the grains spikelet. Therefore, appropriately shortening the growth duration of the main crop and extending the growth duration of the ratoon crop are important ways to reduce Cd accumulation in ratoon rice in areas with mild Cd pollution.

Bt-Modified Transgenic Rice May Shift the Composition and Diversity of Rhizosphere Microbiota.

Plants significantly shape root-associated microbiota, making rhizosphere microbes useful environmental indicator organisms for safety assessment. Here, we report the pyrosequencing of the bacterial 16S ribosomal RNA in rhizosphere soil samples collected from transgenic cry1Ab/cry1Ac Bt rice Huahui No. 1 (GM crop) and its parental counterpart, Minghui63. We identified a total of 2579 quantifiable bacterial operational taxonomic units (OTUs). Many treatment-enriched microbial OTUs were identified, including 14 NonGM-enriched OTUs and 10 GM-enriched OTUs. OTUs belonging to the phyla Proteobacteria, Actinobacteria, Acidobacteria, Firmicutes, Nitrospirae, Chlorobi and GN04 were identified as statistically different in abundance between GM and the other two treatments. Compared with the different impacts of different rice varieties on microbiota, the impact of rice planting on microbiota is more obvious. Furthermore, Huahui No. 1 transgenic Bt rice had a greater impact on the rhizosphere bacterial communities than Minghui63. Early developmental stages of the transgenic Bt rice had a significant impact on many Bacillaceae communities. Soil chemical properties were not significantly altered by the presence of transgenic Bt rice. The peak concentration level of Bt protein products was detected during the seedling stage of transgenic Bt rice, which may be an intriguing factor for bacterial diversity variations. Based on these findings, we conclude that transgenic Bt rice has a significant impact on root-associated bacteria. This information may be leveraged in future environmental safety assessments of transgenic Bt rice varieties.

Spatiotemporal variation in rice water requirements and area in the cold rice cultivation region of China: Past and Future

Studying rice water requirements (ETc) and area is crucial for developing irrigation schedules and adjusting crop structures. The cold rice cultivation region is China’s main high-quality rice production base and has the lowest temperature, highest latitude, and greatest sensitivity to climate. However, little research has focused on its past rice distributions and ETc, and its future variations are not yet clear. Past ETc was calculated by the Penman–Monteith and crop-corrected coefficient method, and past rice distribution patterns were analyzed based on the annual paddy rice planting area datasets. Future reference crop evapotranspiration (ET0) was projected by the statistical downscaling model (SDSM) based on the CMIP6 ensemble of daily predictor variables. The food and agriculture projections to 2050 datasets were used to project future rice areas, and the patch-generating land use simulation (PLUS) model simulated rice distribution. Finally, we projected future rice water supply demand. The results showed that ETc showed a decreasing trend, and the total rice area and production increased by 4.52 and 5.49 times from 1990 to 2020. Both in the past and future, rice was densely distributed in and expanded into the Sanjiang and Songnen Plains, and the spatial characteristic of ETc was as follows: the west was larger than the east, the north was larger than the south, and the central was in between. In the four future periods, the total ETc demonstrated an upward trend, increasing by 7.44–21.04, 15.64–34.74, 24.74–45.84, and 16.14–41.14 mm under the SSP126, SSP245, SSP370, and SSP585 scenarios, respectively, compared to the historical period. And it is generally ranked as SSP370 > SSP245 > SSP126. Finally, we projected future rice water supply meet the demand caused by rice area expansion.

Hg Content Characteristics and Safe Planting Zoning of Paddy Soil and Rice in Guizhou Province

Guizhou Province ranks first in terms of Hg reserves and production in the country, and rice is its largest grain crop. In order to study the characteristics and pollution causes of soil-rice Hg content at the provincial level in Guizhou and to carry out safe planting zoning, 1 564 pairs of soil-rice samples, 470 natural soil samples, and 203 individual paddy soil samples were collected to test their Hg content and basic physical and chemical properties of the soil. The results showed that:① Paddy soil was mainly neutral and acidic, the paddy soil ω (Hg) range was 0.005-93.06 mg·kg-1, and the geometric mean was 0.864 mg·kg-1. The Hg content of paddy soil in Guizhou Province was significantly higher than that in natural soil (0.16 mg·kg-1,P < 0.05). Compared with the filtered value and control value, the soil samples exceeded the standard by 63.25% and 14.71%, respectively. Among them, the soil Hg pollution in Danzhai County of Qiandongnan Prefecture, Wuchuan County of Zunyi City, Zhenfeng County of Qianxinan Prefecture, and Wanshan District of Tongren City was more prominent. ② Rice ω(Hg) ranged from 0.000 5 to 0.52 mg·kg-1, and the geometric mean was 0.010 mg·kg-1, the percentage of rice Hg content exceeding the standard was 25.87%, and the exceeding points were mainly distributed in Suiyang County of Zunyi City, Zhenfeng County of Qianxinan Prefecture, Xixiu District of Anshun City, Bijiang District of Tongren City, and other industrial and mining activity-intensive areas. ③ The majority of the study area was in the priority protection category (74.75%); the safe use category accounted for (24.62%); and the strictly controlled category (0.93%) was scattered in Danzhai County at the border between Qiannan Prefecture and Qiandongnan Prefecture, Zhenfeng County in Qianxinan Prefecture, and Wanshan District in Tongren. It is not recommended to plant rice, which can be used as feed for reproduction.

DIAZOTROPHIC ENDOPHYTE Klebsiella sp. N5 FROM SORGHUM SHOWS CROSS-COLONIZATION AND PLANT GROWTH PROMOTION IN RICE

Rice necessitates the highest levels of N fertilizers during its cultivation increasing demand for nitrogen fertilizers as well as negatively affecting the environment. Endophytic diazotrophic bacteria were isolated from sorghum, out of 35 isolates Klebsiella sp. N5 showed maximum potential for biological nitrogen fixation. Primary screening of strain N5 was done with acetylene reduction assay indicating dry root activity of 638.55 nmol C2H4 h-1 g-1. That was further confirmed by nifH gene amplification. The strain was identified morphologically, biochemically and 16S rDNA sequencing analysis and identified as Klebsiella sp. strain N5. This strain exhibited other plant growth-promoting (PGP) traits, such as phosphate solubilization, production of indole acetic acid, siderophore activity, ACC deaminase activity, and anti-fungal activity. PGP endophyte N5 was inoculated into rice seedlings to investigate its interaction under axenic conditions and to characterize its ability to colonize non-native host plant rice. Extensive colonization of rice roots was corroborated by Scanning electron microscopy. In-planta experiments with rice seeds inoculated with Klebsiella sp. N5 showed significant improvements in various agronomic traits such as increase in shoot length, root length, fresh and dry weight of root and shoot, chlorophyll content, and nitrogen content of the plant and soil compared to the untreated plants. Klebsiella sp. N5, a cross colonizer from sorghum (C4 plant) to rice (C3 plant) plays a crucial role in facilitating the acquisition of essential resources such as nitrogen, phosphorus, and iron through direct mechanisms. This study expands the horizon for its potential as a valuable bioinoculant for sustainable agricultural practices, particularly in non-native host rice, paving the way for future field trials.

Technological Innovation to Increase The Cropping Index of Rice on Rainfed Fields At Labuhanbatu Regency

The study of technological innovations to increase the cropping index in Rainfed Rice Fields aims to increase farmers’ knowledge and skills regarding rice farming so that their rice fields can be planted with rice more than once a year. This activity was conducted in Selat Beting Village, Panai Tengah District, Labuhan Batu Regency in 2021. The assessment was carried out in one area, consisting of the Field Laboratory (LL) location and the Field School (SL) location. The Field Laboratory is a study area covering an area of 5 ha. The treatmen use in this study was variety, seeding methods, planting methods, fertilizer dosage and pest control.The results of this study shown that the production of demo-farm area was 6.65 t/ha, while non-demo-farm only produced 4.76 t/ha. Farmers in Selat Beting village can plant rainfed rice at least twice a year. Selat Beting Village farmers have been introduced to rice farming business insurance (AUTP). Farmers who try to insure their crops do not mind because they pay very low premiums and are affordable for farmers. Based on rainfall patterns in Labuhanbatu Regency, farmers can plant rice at least twice a year, where in certain months there is rainfall, but it is not sufficient to irrigate the fields, therefore they must be assisted with shallow well pumps.

Application of Planting System and Organic Fertilizer on the Yield of Inpari IR Nutri Zinc in Lampung

The low rice productivity in Lampung needs to be increased. The objectives of this study were to introduce new superior Inpari IR Nutri Zinc rice and determine the effect of planting systems and biofertilizer on the growth and yield of Inpari IR Nutri Zinc rice in technically irrigated rice fields in Lampung. The experiment was carried out in technically irrigated rice fields in Kalirejo Village, Negeri Katon District, Pesawaran Regency, Lampung Province, using a split-plot design in a randomized block design with three replications. The treatments tested were three rice planting systems as the main plot and the dose of biofertilizer as a sub-plot. The parameters observed components of growth and yield components. Data were analyzed with the SAS software 5.4 version. The results showed that the application of biofertilizers gave effects on rice yield. From the results of this study, it can be concluded that the use of biofertilizers can increase rice yields by 10-12% compared to those without biofertilizers, in the three cropping systems. The application of biofertilizers resulted in the highest harvested dry grain production, namely 6.61 tons per hectare and significantly different than that without biofertilizers, namely 5.96 tons per hectare. The production of dry grain harvested by the three cropping systems was not significantly different at an average of 6.28 tons per hectare.

Dynamics of weeds and main pests in different rice planting systems supplemented with biodecomposer

Biodecomposers are used as an alternative in pest and weed management by utilizing antagonistic microbes. This study aimed to identify the optimal treatment for suppressing weed growth and controlling the main rice pests, promoting environmentally friendly agricultural practices. Observations were made on three phases of rice growth on land that used biodecomposer and did not use biodecomposer. Weed sampling used a quadrant, which represents each treatment. All weeds were analyzed for density and summed dominance ratio. Pests were observed from the sweep net method. Pests were analyzed with the Shannon-Wiener diversity index (H’). Ten species of weeds are found; the most common and dominant was Cyperus difformis, while the least were Ipomoea aquatica and Ludwigia octovalvis. There were seven pest species; the most common was Nephothettix virescens, while the least was Valanga nigricornis. Using bio-decomposers combined with a two-row planting system was effective in suppressing the development of weeds and pests with a decreasing trend as the rice growing phase increases. Biodecomposers are environmentally friendly even though the process is slow, and have the potential to reduce weeds and pests.Keywords: biodecomposers, Jarwo 2:1, Tegel, trichoderma

Community Based Adaptation To Climate Change And Social Economic In Xe Champhone Wetland, Champhone District, Savannakhet Province

Climate change is key significant factor that impacts on multi-dimensions, which is relevant to social economic development, livelihood and environment, hence, Community Based Adaptation (CBA) to climate change is a mechanism of adapting based on the existing practices, knowledge, policy and experiences of the rice farmers to sustain their lives on changing climate, the objective of the study is to assess the social economic and find the practice management of rice farmers to adapt during flood and drought seasons. Hence, according to the research finds that, majority of the rice farmers are experienced and learnt from the previous effect and adjust themselves by using knowledge skills, experiences to build the resilience for their rice and crop planting in order to prevent and avoid the damages from climate change within the wetland. Besides that, the local communities still utilize the existing potential natural based adaptation to be flexible sustainably their agricultural activities and livelihood during rainy and dry season

UDP-glycosyltransferases act as key determinants of host plant range in generalist and specialist Spodoptera species

Phytophagous insects have evolved sophisticated detoxification systems to overcome the antiherbivore chemical defenses produced by many plants. However, how these biotransformation systems differ in generalist and specialist insect species and their role in determining insect host plant range remains an open question. Here, we show that UDP-glucosyltransferases (UGTs) play a key role in determining the host range of insect species within the Spodoptera genus. Comparative genomic analyses of Spodoptera species that differ in host plant breadth identified a relatively conserved number of UGT genes in generalist species but high levels of UGT gene pseudogenization in the specialist Spodoptera picta. CRISPR-Cas9 knockouts of the three main UGT gene clusters of Spodoptera frugiperda revealed that UGT33 genes play an important role in allowing this species to utilize the poaceous plants maize, wheat, and rice, while UGT40 genes facilitate utilization of cotton. Further functional analyses in vivo and in vitro identified the UGT SfUGT33F32 as the key mechanism that allows generalist S. frugiperda to detoxify the benzoxazinoid DIMBOA (2,4-dihydroxy-7-methoxy-2H-1,4-benzoxazin-3(4H)-one), a potent insecticidal phytotoxin produced by poaceous plants. However, while this detoxification capacity is conserved in several generalist Spodoptera species, Spodoptera picta, which specializes on Crinum plants, is unable to detoxify DIMBOA due to a nonfunctionalizing mutation in SpUGT33F34. Collectively, these findings provide insight into the role of insect UGTs in host plant adaptation, the mechanistic basis of evolutionary transitions between generalism and specialism and offer molecular targets for controlling a group of notorious insect pests.

PEMBERDAYAAN MASYARAKAT MELALUI OPTIMALISASI BRANDING PRODUK ORGANIK DI DESA JATILUWIH KABUPATEN TABANAN-BALI

Agriculture is the mainstay sector for Tabanan Regency, especially Jatiluwih Village, Penebel District. Most of the people, 87%, have their main livelihood in the agricultural sector, namely: rice farming, plantations and animal husbandry. There is organic farming land and horticultural farming land with a land area of 114.59 hectares. This service aims to increase the knowledge and skills of the target community regarding product branding in an effort to increase the added value of agricultural products. The methods used in this service activity are observation, interviews, discussions and lectures, where the implementing team conducts dialogues discussing agricultural product branding. The results of the service show that strengthening agricultural products through product branding is able to develop, promote and build public brand awareness of agricultural products. In this way, agricultural products are able to compete in product exhibitions and can be used as souvenirs typical of the Jatiluwih Tourism Village, which has an impact on improving the community's economy significantly

Strategy Analysis for Implementing Rice Transplanter Planting Machine Technology in Rice Farming Using the Interpretive Structural Modeling (ISM) Method in South Sulawesi

Indonesia has several rice producing centers, one of which is Sidrap Regency which is located in South Sulawesi with the support of a rice transplanter technology system. This research aims to analyze the factors inhibiting the implementation of rice transplanter rice planting machine innovation and strategies for implementing the use of this planting machine. This research uses descriptive analysis by creating frequency tables and percentages from primary data results obtained through interviews with respondents. Likert scale to measure farmers' responses to the dissemination of the Rice Transplanter rice planting machine innovation in Sidrap Regency and the ISM method was used to develop a strategy for implementing the dissemination of agricultural innovation to support agricultural development in Sidrap Regency. The research results show that the factors inhibiting the implementation of Rice Transplanter machine innovation are farmers' lack of skills in using rice transplanter, limited rice transplanter, facilities in farmer groups, lack of rice transplanter service providers and lack of farmer staff, motivation to use rice planting tools. The strategy for implementing rice transplanter innovation is through training in implementing rice transplanter innovation, increasing farmers' interest in using rice transplanters, providing rice transplanter facilities and strengthening institutions.

Simulation Model for Assessing High-Temperature Stress on Rice

Rice is a staple grain crop extensively cultivated in Fujian Province, China. This study examined the impact of high-temperature stress on rice yield and its components, focusing on four representative rice varieties, including early and middle rice grown in Fujian Province. Results indicate significant yield losses, with the most severe reduction of 60.8% observed during the flowering stage of early rice and over 40% during the meiosis and flowering stages of middle rice. High-temperature stress primarily affects early rice yield more at the flowering stage than at the grain-filling stage, whereas in middle rice, it is more severe at the meiosis stage than at the flowering stage. Leveraging historical climatic data spanning the past 20 years, a simulation model for high-temperature stress on rice yield was developed to assess disaster-induced yield loss rates, aiming to enhance prevention and disaster damage assessment for rice under high-temperature stress. Application of the model to four rice planting sites in Fujian Province revealed contrasting temporal changes between loss rates and meteorological yield, with middle rice experiencing more severe damage than early rice. The model’s effectiveness is validated by the strong correspondence between yield loss rate and meteorological yield across different regions, highlighting its robust simulation capabilities.