Journal articles on the topic 'Rice – Climatic factors'
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Deng, Yun, Cunliang Cao, and Shouxue Chen. "Research on correlation analysis and prediction model of agricultural climate factors based on machine learning." MATEC Web of Conferences 336 (2021): 07016. http://dx.doi.org/10.1051/matecconf/202133607016.
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This article uses machine learning technology to analyze the correlation of climate factors that affect crop yields, and conduct prediction and comprehensive evaluation to guide agricultural production. This paper selects early rice crops in Guangxi as the research object. Based on the climatic data of early rice planting areas in Guangxi from 1990 to 2017, a cart decision tree is constructed to generate a random forest model to analyze the correlation between early rice yield and climatic factors in each growth period, and obtain the various growth periods The ranking of the importance of climatic factors on the yield, thus forming the basis for calculating the weights of the climatic factors in each growth period of early rice; based on the climatic data in Guilin, Guangxi from 2008 to April to July 2017, predicted by the long and short-term memory network Guilin's various climate data from April to July 2018.
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Zhang, Lijuan, Jinxia Wang, Tianhe Sun, and Xialin Wang. "Impacts of Climate Change on the Mean and Variance of Indica and Japonica Rice Yield in China." Agronomy 12, no. 12 (December 3, 2022): 3062. http://dx.doi.org/10.3390/agronomy12123062.
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The overall goal of this study was to examine the impacts of climate change on the mean and variance of rice yields in China by using historical climate and crop data. An econometric model was established to estimate Just–Pope stochastic production functions and identify the potential impacts of climate change on the mean and variance of rice yields by type, keeping other factors constant. Based on the estimated production functions, the contribution rate of climatic factors to rice yield was then assessed by conducting the growth accounting of yields over the past 30 years. The results showed that both the mean rice yield and the yield variability were influenced by changes in the mean climate conditions and climatic variance. In the future, the impacts of climate change on rice yields will depend on local regions’ present climatic conditions. The results have implications for improving the adaptation capacity of rice production.
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Quevedo Amaya, Yeison Mauricio, Jose Isidro Beltrán Medina, and Eduardo Barragán Quijano. "Identification of climatic and physiological variables associated with rice (Oryza sativa L.) yield under tropical conditions." Revista Facultad Nacional de Agronomía Medellín 72, no. 1 (January 1, 2019): 8699–706. http://dx.doi.org/10.15446/rfnam.v72n1.72076.
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Rice crop productivity is influenced by climatic conditions such as solar radiation, temperature, and water availability during its vegetative and reproductive stage. In Colombia, rice cultivation is carried out throughout the year; so, it is necessary to identify the sowing dates where high yields are obtained, and which physiologic and climatic factors significantly influence them. Therefore, this research aimed to identify the key climatic and physiological factors that allow maximizing the yield and maintaining good productivity in sowing dates with optimal and deficient environmental conditions, respectively. The experiment was carried out in a rice producing region in northern of Tolima, Colombia from 2015 to 2016. Ten sowing dates were established, with a randomized complete block design in a divided strips arrangement. For each sowing date, climatic conditions were tracked, and growth, development, and yield of rice plant were evaluated. Also, the photosynthetic rate was assessed on five sowing dates. Results showed that physiologic factors that have more relation with crop yield are plant height, leaf area index and dry mass accumulation between phenological stages 37 and 49; whereas the unique climatic factor, that was highly related to yield, was solar radiation between phenological stages 51 to 77. Furthermore, when the optimum values of each variable were reached, a yield higher than 9,500 kg ha-1 was achieved. No relation was observed between the photosynthesis rate of at leaf level and yield.
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Karmokar, Provash Kumar, Mahendran Shitan, A. B. M. Rabiul Alam Beg, and Md Idris Ali. "Impact of Some Climatic Variables on the Yields of Boro Rice in Bangladesh." American Journal of Agricultural Science, Engineering, and Technology 2, no. 6 (March 29, 2017): 12–19. http://dx.doi.org/10.54536/ajaset.v2i6.14.
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Bangladesh is primarily an Agriculture based country and its economy largely depends on theagriculture. Weather and climate are key determinants of the productivity of crops grown inan agrarian country like Bangladesh. Boro rice constitutes a large share in the domestic foodgrain of the country. Sometimes its production affected by some climatic factors. Therefore,the objective of this research was to determine the likely climatic factors for Boro riceproduction in Bangladesh. In this study we employed traditional OLS method and recentBootstrap technique to identify the influential climatic factors on Boro rice production. Ourstudy revealed that the considered variables rainfalls (RAIN), maximum temperature (MAX),minimum temperature (MIN) and wind speed (WIND) have significant effect on Boro riceproduction both by OLS and Bootstrap method. Bootstrap method exhibits lower standarderrors in comparison to the OLS method indicating that this estimate could be useful in Bororice production of Bangladesh. The messages from this study could be useful for the policymakers of the country.
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JAIONTO KARMOKAR, M. AMINUL ISLAM, M. RAKIB HASSAN, and M.M. BILLAH. "Impact of seasonal climatic variability on rice yield in Bangladesh." Journal of Agrometeorology 22, no. 2 (November 6, 2021): 165–71. http://dx.doi.org/10.54386/jam.v22i2.157.
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In Bangladesh, 75% of the total cultivable area is under rice cultivation producing 25 million tons of rice and plays a vital role in the country’s GDP. The climatic variability is playing an important role in affecting the rice production. In this study, the impact of climatic variability (average maximum temperature (aMaxTemp), average minimum temperature (aMinTemp) and average rainfall (aRainfall)) on rice yield was determined in two different regions (northern and southern) of Bangladesh.The variability of rice yield and climate factors was determined by using the Ordinary Least Square (OLS) method. The data was analyzed over the 44-years period (1971 to 2014) in order to estimate the magnitude of these fluctuations statistically and graphically. We observed that the climate variables had significant effect on rice yield that varies among three rice crops (e.g., Aus, Aman, and Boro rice). We observed that, aMaxTemp has positive effects for Aus and Aman rice yield but negative effect on Boro rice yield. On the other hand, aMinTemp has negative effects on Aus and Aman rice yield but has positive effect on Boro rice yield. The aRainfall has a positive relationship with all rice yields in both the regions.
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SHI, Quan-Hong, Jian-Gang LIU, Zhao-Hua WANG, Ting-Ting TAO, Fu CHEN, and Qing-Quan CHU. "Change of Rice Yield Gaps and Influential Climatic Factors in Southern China." ACTA AGRONOMICA SINICA 38, no. 5 (August 23, 2013): 896–903. http://dx.doi.org/10.3724/sp.j.1006.2012.00896.
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Guntukula, Raju, and Phanindra Goyari. "Climate Change Effects on the Crop Yield and Its Variability in Telangana, India." Studies in Microeconomics 8, no. 1 (May 29, 2020): 119–48. http://dx.doi.org/10.1177/2321022220923197.
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This study has examined the effects of climatic factors on mean yields and yield variability of four primary crops (rice, cotton, jowar and groundnut) in Telangana state by applying the Just and Pope production function over a period of 1956–2015. Using the three-stage feasible generalised least squares estimation procedure, we have estimated the production function of four crops. The empirical results have revealed that the effects of changes in climatic factors vary among crops under study. Maximum temperature has a significant adverse effect on rice, cotton and groundnut yields. Minimum temperature has a substantial positive effect on rice, cotton and groundnut. Further, rainfall is adversely related to cotton and groundnut yields. Maximum temperature has appeared as a risk-reducing factor for all study crops while minimum temperature as a risk-enhancing factor for rice, cotton and jowar. Lastly, rainfall has been found as a risk-enhancing factor for rice and groundnut whereas it is a risk-reducing factor for jowar and cotton. Results from the study have important implications on how Telangana’s farming sector will adapt to climate variability and change for sustainable agricultural development. JEL Codes: C23, Q18, Q51, Q54
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Guo, Yahui, Wenxiang Wu, Yumei Liu, Zhaofei Wu, Xiaojun Geng, Yaru Zhang, Christopher Robin Bryant, and Yongshuo Fu. "Impacts of Climate and Phenology on the Yields of Early Mature Rice in China." Sustainability 12, no. 23 (December 4, 2020): 10133. http://dx.doi.org/10.3390/su122310133.
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Phenological variables are closely correlated with rice (Oryza sativa L.) yields as they play important roles in influencing and controlling the carbon allocations between plant organs, but their impacts on rice yields and their relative importance compared with climatic variables are not yet well investigated. In this study, the impacts and the relative importance of climatic and phenological variables on the yields of early mature rice were assessed using the trial data from 75 agricultural stations across China, spanning from 1981–2010. We found that both daily maximum (Tmax) and daily minimum (Tmin) temperatures during the growing season (from transplanting to maturity) increased significantly, while sunshine duration (SD) and precipitation (Prep) did not change significantly. The average transplanting date was advanced by 3.18 days/decade, and the heading (maturity) dates were delayed by 2.47 (4.55) days/decade, with yields significantly increased by 9.65 g/m3 per decade across all sites. Partial correlation coefficients between most phenological variables and rice yields were negative, whereas most of the climatic variables were positively correlated with rice yields. The average of partial correlation coefficients between transplanting, heading, and maturity dates and rice yields were −0.10, −0.15, and −0.01, respectively, and the average of coefficients between Tmax, Tmin, SD, and Prep and rice yields were 0.08, 0.02, 0.12, and −0.05, respectively. Interestingly enough, phenological variables were the dominating influencing factors on rice yields at 63% of the sites, suggesting that the relative importance of phenology to rice yields may be even higher than that of climate. The climatic variables were closely correlated with rice yields as they are fundamental growth materials for crops, and phenological variables strongly influenced the growth and development of rice. Our results highlight that phenology should be precisely evaluated in crop models to improve the accuracy of simulating their response to climate change. Furthermore, due to limited understanding of phenological processes, manipulative experiments are urgently needed to comprehensively improve our understanding of rice phenology and rice yield response to ongoing climate change.
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Zhao, Weixing, Jieming Chou, Jiangnan Li, Yuan Xu, Yuanmeng Li, and Yidan Hao. "Impacts of Extreme Climate Events on Future Rice Yields in Global Major Rice-Producing Regions." International Journal of Environmental Research and Public Health 19, no. 8 (April 7, 2022): 4437. http://dx.doi.org/10.3390/ijerph19084437.
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Under the dual impacts of climate change and COVID-19, there are great risks to the world’s food security. Rice is one of the three major food crops of the world. Assessing the impact of climate change on future rice production is very important for ensuring global food security. This article divides the world’s main rice-producing regions into four regions and uses a multivariate nonlinear model based on historical economic and climatic data to explore the impacts of historical extreme climatic events and economic factors on rice yield. Based on these historical models, future climatic data, and economic data under different shared socioeconomic pathways (SSPs), the yields of four major rice-producing regions of the world under different climate change scenarios (SSP126, SSP245, and SSP585) are predicted. The research results reveal that under different climate change scenarios, extreme high-temperature events (Tx90p) and extreme precipitation events (Rx5day, R99pTOT) in the four major rice-producing regions have an upward trend in the future. Extreme low-temperature events (Tn10p) have a downward trend. In the rice-producing regions of Southeast Asia and South America, extreme precipitation events will increase significantly in the future. The prediction results of this model indicate that the rice output of these four major rice-producing regions will show an upward trend in the future. Although extreme precipitation events will have a negative impact on rice production, future increases in rice planting areas, economic development, and population growth will all contribute to an increase in rice production. The increase in food demand caused by population growth also brings uncertainty to global food security. This research is helpful for further understanding climate change trends and risks to global rice-production areas in the future and provides an important reference for global rice-production planning and risk management.
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Khandker, Varsha, and Indrajit Thakurata. "Factors encouraging complete adoption of agricultural technologies." Journal of Agribusiness in Developing and Emerging Economies 8, no. 2 (June 4, 2018): 270–87. http://dx.doi.org/10.1108/jadee-05-2016-0037.
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Purpose Hybrid rice is considered as one of the technologies having the potential to push the production frontier to meet the growing demand for rice in India. The technology was introduced in India in 1994 but is yet to see widespread adoption. The purpose of this paper is to identify the factors that influence the partial/complete adoption of hybrid rice technology by the farmers in India. This study also assesses the factors behind difference in the share of land allocated to hybrid rice cultivation by farmers. Design/methodology/approach The study employs a Tobit model to evaluate the impact of factors related to technology, farmer, farm and geographical location on the decision to adopt hybrid rice. Data for this study are compiled from surveys of 441 hybrid rice growing farmers across 3 Indian states conducted during 2012-2013. Findings The paper finds that farmers with smaller landholdings, higher education and higher experience of growing hybrid rice are more likely to be complete adopters. Farmers reporting good demand for hybrid rice output and availability of subsidy on hybrid rice seeds also have higher probability of being complete adopters. However, the availability of hybrid rice seeds in government outlets and cultivating multiple kharif crops are negatively related to the extent of hybrid rice adoption. The results suggest insignificant impact of age, family size, ownership of cattle and machinery on the adoption level of hybrid rice by the farmers. Research limitations/implications Although the sample for this study has been collected from three states with different agro-climatic zones and productivity, the results cannot be generalized for other states. Originality/value There is a great potential to increase the area under hybrid rice cultivation in India. This study is one of the first attempts to look at the adoption levels of hybrid rice in India and determine the factors which might be hindering the complete adoption of the technology. Focusing on the factors positively related to complete adoption can help in enhancing the area under hybrid rice and similar approach can be used for other new agricultural technologies in the developing country context.
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Kovalev, I. V., D. I. Kovalev, Z. E. Shaporova, A. A. Voroshilova, and D. V. Borovinskii. "Statistical analysis of agro-climatic factors of crop failure of agricultural plots." IOP Conference Series: Earth and Environmental Science 1112, no. 1 (December 1, 2022): 012093. http://dx.doi.org/10.1088/1755-1315/1112/1/012093.
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Abstract The article presents an example of a statistical analysis of agro-climatic factors of crop failure in agricultural plots for the cultivation of rice. It is shown that crop failure is mainly due to a variety of random, independent agro-climatic factors: the sum of active temperatures, the sum of precipitation, soil fertility, etc. Agricultural technology of crop cultivation also has a significant impact on crop failure, which is characterized by the following features: the predecessor, the amount of fertilizer, weeding, the number of days from the bay to the discharge of water, the number of days from mowing to threshing. As methods of statistical data processing, the authors use complex data processing by traditional methods, including comparison of mean values of features, principal component analysis, multiple regression analysis, and discriminant analysis. It is noted that the results of complex processing of the agrotechnical characteristics of plots with different rice yields using the apparatus of one-dimensional and multivariate statistical analysis provide a basis only for identifying general trends, since the agrotechnical system has a high level of complexity. For a deeper and more complete penetration into its essence, an apparatus should be used that can identify and take into account the structural heterogeneity of data about this system.
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Sahu, Netrananda, Atul Saini, Swadhin Behera, Takahiro Sayama, Sridhara Nayak, Limonlisa Sahu, Weili Duan, et al. "Impact of Indo-Pacific Climate Variability on Rice Productivity in Bihar, India." Sustainability 12, no. 17 (August 28, 2020): 7023. http://dx.doi.org/10.3390/su12177023.
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The impact of Indo-Pacific climate variability in the South Asian region is very pronounced and their impact on agriculture is very important for the Indian subcontinent. In this study, rice productivity, climatic factors (Rainfall, Temperature and Soil Moisture) and associated major Indo-Pacific climate indices in Bihar were investigated. Bihar is one of the major rice-producing states of India and the role of climate variability and prevailing climate indices in six events (between 1991–2014) with severer than −10% rice productivity are analyzed. The Five-year moving average, Pearson’s Product Moment Correlation, Partial Correlation, Linear Regression Model, Mann Kendall Test, Sen’s Slope and some other important statistical techniques were used to understand the association between climatic variables and rice productivity. Pearson’s Product Moment Correlation provided an overview of the significant correlation between climate indices and rice productivity. Whereas, Partial Correlation provided the most refined results on it and among all the climate indices, Niño 3, Ocean Niño Index and Southern Oscillation Index are found highly associated with years having severer than −10% decline in rice productivity. Rainfall, temperature and soil moisture anomalies are analyzed to observe the importance of climate factors in rice productivity. Along with the lack of rainfall, lack of soil moisture and persistent above normal temperature (especially maximum temperature) are found to be the important factors in cases of severe loss in rice productivity. Observation of the dynamics of ocean-atmosphere coupling through the composite map shows the Pacific warming signals during the event years. The analysis revealed a negative (positive) correlation of rice productivity with the Niño 3 and Ocean Niño Index (Southern Oscillation Index).
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Ambali, Omotuyole Isiaka, Francisco Jose Areal, and Nikolaos Georgantzis. "Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference." Agriculture 11, no. 8 (July 22, 2021): 691. http://dx.doi.org/10.3390/agriculture11080691.
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This study analyses farmers’ adoption of improved rice technology, taking into account farmers’ risk preferences; the unobserved spatial heterogeneity associated with farmers’ risk preferences; farmers’ household and farm characteristics; farm locations, farmers’ access to information, and their perceptions on the rice improved varieties (i.e., high yield varieties, HYV). The study used data obtained from field experiments and a survey conducted in 2016 in Nigeria. An instrumental-variable probit model was estimated to account for potential endogenous farmers’ risk preference in the adoption decision model. Results show that risk averse (risk avoidant) farmers are less likely to adopt HYV, with the spatial lags of farmers’ risk attitudes found to be a good instrument for spatially unobserved variables (e.g., environmental and climatic factors). We conclude that studies supporting policy action aiming at the diffusion of improved rice varieties need to collect information, if possible, on farmers’ risk attitudes, local environmental and climatic conditions (e.g., climatic, topographic, soil quality, pest incidence) in order to ease the design and evaluation of policy actions on the adoption of improved agricultural technology.
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Khanal, Badri. "Correlation of climatic factors with cereal crops yield: a study from historical data of Morang district, Nepal." Journal of Agriculture and Environment 16 (June 1, 2015): 21–32. http://dx.doi.org/10.3126/aej.v16i0.19837.
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The present study is based on the secondary sources of information on temperature, rainfall and productivity of four major cereals (Rice, Maize, Finger Millet and Wheat) in Morang district of Nepal. A total of 17 years data (1995-2011) on yield of crops, annual total rainfall, annual mean maximum temperature and annual mean minimum temperature is analysed. The suitability analysis of crops shows that all the four cereals found to be suitable for cultivation in temperature range of Morang district, whereas irrigation is required in addition to recorded rainfall in case of rice and wheat. The production of three cereals except millet (which is almost stable) has increased during the study period. The analysis of correlation coefficient shows that maize yield and minimum temperature have strong positive correlation (0.7755). The linear regression analysis showed that the yield of maize was significant and highly sensitive to combined effect of all three climatic factors (R2 0.7414). Whereas, the yield of rice, millet and wheat were not statistically significantly related. At individual climatic factors level, yield of maize and wheat were significantly related with annual mean minimum temperature. The yield of these crops can be increased by crop management mainly by altering the planting time, varieties and irrigation practices.
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Chhogyel, Ngawang, Lalit Kumar, Yadunath Bajgai, and Layomi Sadeeka Jayasinghe. "Prediction of Bhutan's ecological distribution of rice (Oryza sativa L.) under the impact of climate change through maximum entropy modelling." Journal of Agricultural Science 158, no. 1-2 (March 2020): 25–37. http://dx.doi.org/10.1017/s0021859620000350.
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AbstractThe current research investigated the present and future projected distribution of rice (Oryza sativa L.) based on climatic suitability under three representative concentration pathways (RCPs) of the Intergovernmental Panel on Climate Change using maximum entropy (MaxEnt) modelling. The MaxEnt models predict that rice distribution in Bhutan will undergo major changes in terms of spatial range shift of varying magnitudes by 2060. Under the anthropogenic radiative forcing of RCP2.6, RCP4.5 and RCP8.5, ecological space of rice is predicted to change between 1 and 43%. Major changes are likely to take place in major rice-growing ecological zones of the country. This is likely to have a negative impact on the livelihood and food security of the people as crop production might start declining due to unfavourable climatic factors. Therefore, the findings of this study could prove beneficial for forecasting focus sites requiring interventions, including future climate research, planning, policy formulation and conservation of natural resources.
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Ningsih, Dwi Haryati, Muhammad Joni Iskandar, and Elwani Hidayati. "FACTORS of PRODUCTION RICE CORPORATE FARMING MODEL in CENTRAL JAVA." Journal of Agri Rinjani: Social Agricultural Economics - Faculty of Agriculture, UGR 2, no. 1 (June 27, 2022): 21–29. http://dx.doi.org/10.53952/jar.v2i1.87.
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The agricultural sector is still faced with various problems. Starting from the increasingly narrow land, decreased land productivity due to the use of inappropriate production factors, erratic and unpredictable climatic conditions to the issue of unique prices that fluctuate at any time. These obstacles and constraints will ultimately affect the income of farmers. The distribution of income is obtained from the production and productivity of rice farming during the growing season. Increased production can be done through the agricultural model of corporate farming. This study aims to estimate the factors that influence rice production with the corporate farming model. The research location was determined purposively in Sukoharjo Regency. Sampling by census was 51 corporate farmers. Estimated data to produce factors of production using the Cobb-Douglass production function model. The results showed that the factors that significantly affected the increase in rice production using the corporate farming model were land area and urea fertilizer. Meanwhile, the production factors of SP-36 fertilizer, NPK fertilizer, pesticides and labor did not have an effect on the increase in rice production so that these production factors could be an opportunity to improve production and productivity.
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Mir, Shabir A., and Theagarajan Padma. "Evaluation and prioritization of rice production practices and constraints under temperate climatic conditions using Fuzzy Analytical Hierarchy Process (FAHP)." Spanish Journal of Agricultural Research 14, no. 4 (December 2, 2016): e0909. http://dx.doi.org/10.5424/sjar/2016144-8699.
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Due to overwhelming complex and vague nature of interactions between multiple factors describing agriculture, Multi-Criteria Decision Making (MCDM) methods are widely used from farm to fork to facilitate systematic and transparent decision support, figure out multiple decision outcomes and equip decision maker with confident decision choices in order to choose best alternative. This research proposes a Fuzzy Analytical Hierarchy Process (FAHP) based decision support to evaluate and prioritize important factors of rice production practices and constraints under temperate climatic conditions and provides estimate of weightings, which measure relative importance of critical factors of the crop under biotic, abiotic, socio-economic and technological settings. The results envisage that flood, drought, water logging, late sali, temperature and rainfall are important constraints. However, regulating transplantation time; maintaining planting density; providing training to the educated farmers; introducing high productive varieties like Shalimar Rice-1 and Jhelum; better management of nutrients, weeds and diseases are most important opportunities to enhance rice production in the region. Therefore, the proposed system supplements farmers with precise decision information about important rice production practices, opportunities and constraints.
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Sok, Serey, Nyda Chhinh, Sanara Hor, and Pheakdey Nguonphan. "Climate Change Impacts on Rice Cultivation: A Comparative Study of the Tonle Sap and Mekong River." Sustainability 13, no. 16 (August 11, 2021): 8979. http://dx.doi.org/10.3390/su13168979.
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Climate change is unequivocal. Farmers are increasingly vulnerable to floods and drought. In this article, the negative impact of climate hazards on rice cultivation in the Tonle Sap and Mekong River influenced by climatic variability between 1994 and 2018 are analyzed. A cohort of 536 households from four Cambodian districts participated in household surveys designed to consider how various vulnerability factors interacted across this time series. It was found that: (i) The major climate hazards affecting rice production between 1994 and 2018 were frequent and extreme flood and drought events caused by rainfall variability; (ii) In 2018, extreme flood and drought occurred in the same rice cultivation cycle. The impact caused by each hazard across each region were similar; (iii) An empirical model was used to demonstrate that drought events tend to limit access to irrigation, impact rice production, and result in an increased prevalence of water-borne diseases. Flood events cause reduced rice production, damage to housing, and impede children from accessing education. The impact of drought events on rice production was found to be more severe than flood events; however, each climatic hazard caused physical, economic, social, and environmental vulnerabilities. It is recommended that sufficient human and financial resources are distributed to local authorities to implement adaptation measures that prepare rice farmers for flood and drought events and promote equitable access to water resources.
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Turchenyuk, Vasyl, Anatoliy Rokochinskiy, Nataliia Prykhodko, Pavlo Volk, and Oleh Meshyk. "Features of forming the salt balance in rice fields with various parameters and designs of the Danube rice irrigation systems." E3S Web of Conferences 280 (2021): 10008. http://dx.doi.org/10.1051/e3sconf/202128010008.
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Ecological-reclamation state of rice irrigation systems harvest of cultivated crops determined by a number of factors, including natural (soil, topographical, hydrogeological, climatic factors) and technological (irrigation norm, designs and parameters of irrigation and drainage networks, etc.) factors. One of the main factors influencing the formation of rice yield which is traditionally grown by flooding technology is the efficiency of the rice irrigation system’s design. Construction features of irrigation fields and their parameters (distances between the drains, depth of the drainage network) affect the intensity of the processes of salinization of soils and groundwater. Analysis of the components of salt balances of rice fields with different parameters and designs on example of the Danube rice irrigation systems showed that fields with the distances between the drains from 200 to 250 m have significant advantages over Krasnodar-type fields with the same parameters and over fields with 500 m distance between the drains creating optimal salt regime for rice and, accordingly, obtaining higher yields of rice. As on the card-checks with drainage with the distances between the drains 500 m uniform desalinization of soils on all area cannot be reached and yield of rice on them is close to 20 c/ha such card-checks with drainage must be converted into card-checks with drainage with the distances between the drains 250 m.
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TONG, Zhi-Ting. "Temperature-driven climatic factors and their impact on the fertility of hybrid rice at anthesis." CHINESE JOURNAL OF ECO-AGRICULTURE 16, no. 5 (March 2, 2009): 1163–66. http://dx.doi.org/10.3724/sp.j.1011.2008.01163.
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SAGAWA, SATORU. "Effect of Fertilization Elements and Climatic Factors on the Yield and Yield Component of Rice." Japanese journal of crop science 68, no. 4 (1999): 519–23. http://dx.doi.org/10.1626/jcs.68.519.
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Chandio, Abbas Ali, Yuansheng Jiang, Fayyaz Ahmad, Salina Adhikari, and Qurat Ul Ain. "Assessing the impacts of climatic and technological factors on rice production: Empirical evidence from Nepal." Technology in Society 66 (August 2021): 101607. http://dx.doi.org/10.1016/j.techsoc.2021.101607.
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Islam, Md Din Il, Airin Rahman, Md Nazirul Islam Sarker, Md Sazzadur Sarker, and Luo Jianchao. "Factors Influencing Rice Farmers’ Risk Attitudes and Perceptions in Bangladesh amid Environmental and Climatic Issues." Polish Journal of Environmental Studies 30, no. 1 (October 5, 2020): 177–87. http://dx.doi.org/10.15244/pjoes/120365.
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Oloyede, W. O., A. Muhammad-Lawal, K. B. Amolegbe, I. L. Olaghere, and I. A. Joseph. "Comparative analysis of the profitability of rice production systems in Kwara State, Nigeria." Agrosearch 20, no. 2 (October 11, 2021): 82–101. http://dx.doi.org/10.4314/agrosh.v20i2.7.
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This study describes the socioeconomic characteristics of rice farmers, identifies the production system used by the farmers, compares the profitability of rice production systems, identifies the factors influencing the choice of production systems among the farmers as well as the constraints to rice production systems. A three-stage random sampling procedure was used to select 120 rice farmers on whom a set structured questionnaire was administered. Data was analysed using descriptive statistics and multinomial logistic regression model. Results show that 48.3%, 35% and 16.7% of the farmers cultivate rice using the upland, lowland and the combined production systems respectively. The findings also reveal variability in yield, profit and income across the rice production systems. The gross margins for lowland, upland and combined rice production systems were N65,735.73, N67,900.89 and N78,015.57 per hectare respectively. The factors that influenced the choice of upland production system relative to combined production system were age, household size, farming years and extension visits while the factors that influenced the choice for combined rice production system relative to lowland rice production system was income. Inadequate finance to purchase inputs, problem of pests and diseases, and unfavorable climatic conditions are the constraints faced by rice farmers in the upland, lowland and combined production systems. The combined production systems had the highest return per hectare. Therefore, the study recommends that farmers should be encouraged to choose the combined rice production system for optimum profitability of rice production.
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Oloyede, W. O., A. Muhammad-Lawal, K. B. Amolegbe, I. L. Olaghere, and I. A. Joseph. "Comparative analysis of the profitability of rice production systems in Kwara State, Nigeria." Agrosearch 20, no. 2 (October 11, 2021): 82–101. http://dx.doi.org/10.4314/agrosh.v20i2.7.
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This study describes the socioeconomic characteristics of rice farmers, identifies the production system used by the farmers, compares the profitability of rice production systems, identifies the factors influencing the choice of production systems among the farmers as well as the constraints to rice production systems. A three-stage random sampling procedure was used to select 120 rice farmers on whom a set structured questionnaire was administered. Data was analysed using descriptive statistics and multinomial logistic regression model. Results show that 48.3%, 35% and 16.7% of the farmers cultivate rice using the upland, lowland and the combined production systems respectively. The findings also reveal variability in yield, profit and income across the rice production systems. The gross margins for lowland, upland and combined rice production systems were N65,735.73, N67,900.89 and N78,015.57 per hectare respectively. The factors that influenced the choice of upland production system relative to combined production system were age, household size, farming years and extension visits while the factors that influenced the choice for combined rice production system relative to lowland rice production system was income. Inadequate finance to purchase inputs, problem of pests and diseases, and unfavorable climatic conditions are the constraints faced by rice farmers in the upland, lowland and combined production systems. The combined production systems had the highest return per hectare. Therefore, the study recommends that farmers should be encouraged to choose the combined rice production system for optimum profitability of rice production.
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Hung, Nguyen The, and Nguyen Huu Quyen. "EFFECT OF THE CHANGE OF CLIMATE INDICATORS ON AGRICULTURAL YIELDS IN SON LA." Vietnam Journal of Science and Technology 55, no. 6 (December 11, 2017): 756. http://dx.doi.org/10.15625/2525-2518/55/6/8777.
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Due to climate change, the agro-climatic indicators in Son La province has changed in the following trends: (i) the total heat in the Winter - Spring crop and the Summer crop as well as the total annual heat have increased; (ii) The amount of time in a year with temperature below 20 degrees has shortened; the amount of time in a year with temperatures above 25 degrees has lengthened; (iii) the absolute minimum temperature tends to increase rapidly; (iv) the rainfall in Winter - Spring crop has increased slightly whereas the season rainfall and total annual rainfall tend to decrease. The climatic factors in Son La province obviously affect rice yield in the Winter - Spring crop, the Summer crop as well as corn and soybeans. However, compared with other crops, soybean yield is less related to climatic factors. There are major differences in climate characteristics between the high and the low crops yield year. However, these differences depend on the type of the crop and the harvest season.
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Masnyi, Roman S., Sergey M. Vasilyev, Georgy T. Balakay, Lidiya M. Dokuchayeva, and Rita Y. Yurkova. "Adjustment of water demand norms for accompanying crops in rice crop rotations." Revista de la Universidad del Zulia 13, no. 36 (December 30, 2021): 126–39. http://dx.doi.org/10.46925//rdluz.36.09.
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The relevance of the study is due to the need to save water resources. The purpose of study is to determine microclimatic correction factors for monitoring and adjusting the norms of water de-mand for accompanying crops in rice crop rotations for various zones of natural moistening in Russia. The main study methods are experimental (field) and comparative analysis of the data obtained with theoretical calculations. Study results: Correction factors are presented for calcu-lating evapotranspiration / evaporation of accompanying crops in rice crop rotations, varying in the regions of Russia from Ccr= 0.75 to Ccr = 0.94, respectively, at from Cm 0.2-0.3 to Cm 0.8-1.0 and it is determined that in the rice crop rotation it is necessary to take into account the residual additional productive moisture reserves after rice, which is in the meter soil layer -from 60 mm in regions with Cm = 0.2-0.3 to 84 mm with Cm 0.8-0.1. Practical significance: The use of micro-climatic correction factors for adjusting the norms of water demand for accompanying crops makes it possible to calculate and justify the volume of water for irrigation of these crops in rice crop rotations and to save water resources.
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Xu, Le, Xiaoxiao Li, Xinyu Wang, Dongliang Xiong, and Fei Wang. "Comparing the Grain Yields of Direct-Seeded and Transplanted Rice: A Meta-Analysis." Agronomy 9, no. 11 (November 17, 2019): 767. http://dx.doi.org/10.3390/agronomy9110767.
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Conventional transplanted rice (TPR) has been increasingly replaced by direct-seeded rice (DSR) because of its low water and labour requirements. Whether and how DSR can be as productive as TPR has received widespread attention. Here, a comprehensive meta-analysis was performed to quantify the effects of direct seeding on rice yield and identify the management and environmental factors that contribute to the yield gap between DSR and TPR. The results showed that, overall, the yield of DSR was 12% lower than that of TPR. However, the yield loss of DSR relative to TPR was highly variable depending on management practices, soil type, and climate conditions, ranging from −2% to −42%. Weed and water management and climatic stress had the largest impact on yield performance, resulting in over 15% yield variation. With respect to soil properties, the yield gap can be significantly reduced by planting in areas with high organic carbon content, such as clayed and acidic soils. Furthermore, the DSR yield penalty was only 4% in a high-yielding condition compared to 14% in a low-yielding condition. All these factors indicate that optimizing management practices is necessary to improve DSR yield performance and narrow the yield gap between DSR and TPR. In conclusion, DSR could produce comparable yields to TPR but is more prone to yield losses due to inappropriate management practices, unsuitable soil properties, and climatic stresses.
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Cruz, Renata Pereira da, Sandra Cristina Kothe Milach, and Luiz Carlos Federizzi. "Inheritance of pinacle exsertion in rice." Scientia Agricola 65, no. 5 (2008): 502–7. http://dx.doi.org/10.1590/s0103-90162008000500009.
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Incomplete panicle exsertion is one of the symptoms of cold injury at the reproductive stage of the rice plant (Oryza sativa L.), which damages grain yield and raises disease incidence. For this reason, panicle exsertion is a better indicator of cold tolerance under field conditions than spikelet sterility, which may also be affected by other climatic factors. This work studies the variability of degree of panicle exsertion in rice, under the Southern Brazilian environmental conditions and determines the inheritance and heritability of this trait. Four rice genotypes of different cool temperature reactions at the reproductive stage were crossed and field evaluated, with the F2 generation, in relation to the degree of panicle exsertion and spikelet fertility. There was variability among the genotypes for panicle exsertion. The F2 generation of the crosses presented continuous distribution and transgressive segregation towards incomplete exsertion, indicating that genes controlling this trait may be complementary distributed between the parents. Heritability was moderate, so selection for complete panicle exsertion should be applied in advanced generations.
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LÜ, Chuan-Gen, Shou-Yu ZONG, Ning HU, Jiang-Shi ZOU, Ke-Min YAO, and Wei-Ya TANG. "Modeling with Climatic Factors and Analysis on Ecological Characters for Grain Weight Dissected Factors of Two-Line Hybrid Rice, Liangyoupeijiu." ACTA AGRONOMICA SINICA 34, no. 12 (March 3, 2009): 2202–9. http://dx.doi.org/10.3724/sp.j.1006.2008.02202.
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Rumintjap, Verby N. D., Johanes F. X. Rogi, and Deddie ,. Tooy. "PEMETAAN POTENSI PRODUKSI PADI SAWAH (Oryza sativa L) DENGAN MENGGUNAKAN MODEL SIMULASI TANAMAN DI KABUPATEN MINAHASA SELATAN." AGRI-SOSIOEKONOMI 12, no. 1A (March 12, 2016): 53. http://dx.doi.org/10.35791/agrsosek.12.1a.2016.11497.
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South Minahasa Regency is one of regencies in the province of North Sulawesi, which had agro-climatic conditions suitable for the growth of rice plants. To determine the growth and development of the rice crop in the South Minahasa District, with various agro-climatic conditions can be simulated models of rice plants. This study aims to determine the potential for rice production in South Minahasa Regency and mapping potential for rice production in South Minahasa Regency. This research was conducted through the collection of climate data (solar radiation, air temperature, air humidity, while irradiation and precipitation) and the data on latitude and longitude coordinates. Implementation using simulation models of rice plants Rice Shierary V.2.1 to determine the potential of rice production and rice production potential mapping in South Minahasa district to use Photo Satellite Imagery processed through ArcView 3.3 software. Research results show the potential of rice production is the village Popontolen 6.11 ton ha-1, village Pakuweru 5.73 ton ha-1, and the Village Karowa 9.00 ton ha-1, the highest production potential are among the sites that Karowa Village 9.00 ton ha-1 is due to have the most ideal temperature for growth and development of paddy rice at an average of 23.12 ° C, and the average rainfall is 293.50 mm and 103.42 mm evapotranspiration. Data from the study indicate the potential for a higher yield than the data Provitas paddy rice official South Minahasa District of 2010-2014. This shows that the achievement of rice production in the district south minahasa not optimal. Hopefully the results of this study be input for agencies involved in this case the Department of Agriculture and Livestock South Minahasa regency in optimizing rice production with activities touching the supporting factors of production such as the provision of improved seed, fertilizer use impartial, repair dams and irrigation networks as well as the use of tools and agricultural machinery so as to increase farmers' income.
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YOSHIOKA, Hideki, and Hiroshi KAWAGOE. "Effects of Climatic Factors on Heading of Rice Cultivars in Early-Season Culture in Miyazaki Prefecture." Japanese journal of crop science 69, no. 4 (2000): 508–12. http://dx.doi.org/10.1626/jcs.69.508.
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Zhang, Jie, and Yujie Liu. "Agronomic Improvements, Not Climate, Underpin Recent Rice Yield Gains in Changing Environments." Agronomy 12, no. 9 (August 30, 2022): 2071. http://dx.doi.org/10.3390/agronomy12092071.
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Food security depends not only on the extent of climate change but also on the compensatory potentials of agronomic improvements. However, the separate contribution of these agronomic factors to rice yield remains largely unknown. Here we distinguished the impacts and relative contributions on rice yield based on statistical models and machine learning by using an observation database collected from 52 agro-meteorological stations in China from 1981 to 2018. Agronomic improvements are responsible for more than 40% of the observed rice yield change, ranging from 42.9% to 96.5% in different cropping types, and the effect increased with the latitude. Among the management considered, sowing date adjustment contributes most to late and early rice yield. Response of rice yield to nighttime temperature was stronger than that to daytime temperature, and wind speed is the main climatic contributing factor to early rice yield. The effects of wind speed on rice yield should be considered for the adaptation measures. This observation-based evidence may help guide agricultural priorities in mitigating the impact of climate change on rice yield.
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Prikhodko, Igor, Stanislav Vladimirov, and Daniel Alexandrov. "Transition to new technologies of rice cultivation in the Krasnodar Territory." E3S Web of Conferences 273 (2021): 01016. http://dx.doi.org/10.1051/e3sconf/202127301016.
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Currently used in Russia traditional technologies of rice cultivation with continuous or short-term flooding of rice paddies are ineffective for a number of factors, the main of which are the high cost and high labor intensity of rice production. Research in the field of rice cultivation has identified four main promising technologies that can reduce the cost of rice produced: 1 - intermittent flooding; 2 - periodic moistening without creating a layer of water; 3 - sprinkling, including surface irrigation; 4 - drip irrigation. The purpose of our research was to develop a new drip irrigation rice cultivation technology adapted for the climatic and soil conditions of the Krasnodar Territory. As a result of the research carried out, a drip irrigation technological scheme was developed and implemented for LLC “Chernoerkovskoye” of the Slavyansky district of the Krasnodar region. The developed scheme of rice cultivation on drip irrigation has proven its effectiveness, expressed in improving the reclamation state of soils, increasing the profitability of production and increasing the yield, reducing the irrigation rate, the cost of rice grain and labor intensity.
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Nartymov, Dmitriy, Elena Dubina, Evgeniy Kharitonov, and Sergey Garkusha. "Zoning of rice growing territory of Krasnodar region by the set of features of Pyricularia oryzae Cav. isolation." BIO Web of Conferences 51 (2022): 04006. http://dx.doi.org/10.1051/bioconf/20225104006.
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The geographical location and relief of the Krasnodar Territory determines a wide variety of agro-climatic and agro-technological conditions for the production of crops. On the territory of the Krasnodar Territory there is the largest part of agricultural land intended for the production of rice crops in Russia. Annual infection of rice plants with pathogenic Piricularia Orizae Cav. due to a wide range of strain diversity and indicates a significant dependence of the population genotype on the territorial distribution area. Therefore, the identification of zones that determine the conditions for the spread of blast within the population plays an important role in studying the dynamics of pathogen development in the territory of rice cultivation. The results of the research work showed that the Krasnodar rice growing area has a uniform landscape without sharp changes in the relief profile. The location of adjacent geographical objects affects the agro-climatic conditions of the southern part of the territory, which indicates the likelihood of isolation of the population of rice blast strains in the southern part of the rice growing area. An analysis of the agricultural zoning of the Krasnodar Territory showed the isolation of the southern part of the rice-growing territory according to the characteristics of the soil cover and the isolation of the conditions of agrotechnological measures. Features of the water regime of the irrigation systems of the Krasnodar Territory indicate the differentiation of the factors of infection and the spread of the pathogen on the basis of the isolation of irrigation flows. The territory has a clear division along the channels of the Kuban and Protoka rivers.
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Shrestha, Jiban, Ujjawal Kumar Singh Kushwaha, Bidhya Maharjan, Manoj Kandel, Suk Bahadur Gurung, Amrit Prasad Poudel, Manoj Kumar Lal Karna, and Ramesh Acharya. "Grain Yield Stability of Rice Genotypes." Indonesian Journal of Agricultural Research 3, no. 2 (July 24, 2020): 116–26. http://dx.doi.org/10.32734/injar.v3i2.3868.
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Stability analysis identifies the adaptation of a crop genotype in different environments. The objective of this study was to evaluate promising rice genotypes for yield stability at different mid-hill environments of Nepal. The multilocation trials were conducted in 2017 and 2018 at three locations viz Lumle, Kaski; Pakhribas, Dhankuta; and Kabre, Dolakha. Seven rice genotypes namely NR11115-B-B-31-3, NR11139-B-B-B-13-3, NR10676-B-5-3, NR11011-B-B-B-B-29, NR11105-B-B-27, 08FAN10, and Khumal-4 were evaluated in each location. The experiment was laid out in a randomized complete block design with three replications. The rice genotype NR10676-B-5-3 produced the highest grain yield (6.72 t/ha) among all genotypes. The growing environmental factors (climate and soil conditions) affect the grain yield performance of rice genotypes. The variation in climatic factors greatly contributed to the variation in grain yield. Polygon view of genotypic main effect plus genotype-by-environment interaction (GGE) biplot showed that the genotypes NR10676-B-53 and NR11105-B-B-27 were suitable for Lumle; NR11115-B-B-31-3 and NR11139-B-B-B-13-3 for Pakhribas; and 08FAN10 and NR11011-B-B-B-B-29 for Kabre. The GGE biplot showed that genotype NR10676-B-5-3 was stable hence it was near to the point of ideal genotype. This study suggests that NR10676-B-5-3 can be grown for higher grain yield production in mid-hills of Nepal.
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Mendoza, Ronald U. "A Proposal for an Asian Rice Insurance Mechanism." Global Economy Journal 9, no. 1 (March 2009): 1850159. http://dx.doi.org/10.2202/1524-5861.1454.
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The food price shocks that erupted in 2008 revealed the vulnerability of many developing countries, notably those in Asia, from volatility in the international foodgrain markets. For instance, by March of 2008, the price of traded rice had increased by well over 70 percent compared to year-before levels. Addressed primarily to policymakers in the Asian region, this paper outlines a proposal for a regional risk sharing arrangement—an Asian rice insurance mechanism (ARIM)—which could form part of the region's long-term response to the food security issue. The ARIM could serve as a regional public good by helping countries in the region more efficiently manage the risks related to volatile rice production and trade, arising from emerging structural factors such as the rising and evolving food demand of large Asian countries like China, India and Indonesia, as well as the effects of climate change (and climatic shocks) on the agricultural sector more broadly.
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Wickramasinghe, Lasini, Rukmal Weliwatta, Piyal Ekanayake, and Jeevani Jayasinghe. "Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques." Journal of Mathematics 2021 (February 2, 2021): 1–9. http://dx.doi.org/10.1155/2021/6646126.
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This paper presents the application of a multiple number of statistical methods and machine learning techniques to model the relationship between rice yield and climate variables of a major region in Sri Lanka, which contributes significantly to the country’s paddy harvest. Rainfall, temperature (minimum and maximum), evaporation, average wind speed (morning and evening), and sunshine hours are the climatic factors considered for modeling. Rice harvest and yield data over the last three decades and monthly climatic data were used to develop the prediction model by applying artificial neural networks (ANNs), support vector machine regression (SVMR), multiple linear regression (MLR), Gaussian process regression (GPR), power regression (PR), and robust regression (RR). The performance of each model was assessed in terms of the mean squared error (MSE), correlation coefficient (R), mean absolute percentage error (MAPE), root mean squared error ratio (RSR), BIAS value, and the Nash number, and it was found that the GPR-based model is the most accurate among them. Climate data collected until early 2019 (Maha season of year 2018) were used to develop the model, and an independent validation was performed by applying data of the Yala season of year 2019. The developed model can be used to forecast the future rice yield with very high accuracy.
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Uyeh, Daniel Dooyum, Senorpe Asem-Hiablie, Tusan Park, Kyungmin Kim, Alexey Mikhaylov, Seungmin Woo, and Yushin Ha. "Could Japonica Rice Be an Alternative Variety for Increased Global Food Security and Climate Change Mitigation?" Foods 10, no. 8 (August 12, 2021): 1869. http://dx.doi.org/10.3390/foods10081869.
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The growing importance of rice globally over the past three decades is evident in its strategic place in many countries’ food security planning policies. Still, its cultivation emits substantial greenhouse gases (GHGs). The Indica and Japonica sub-species of Oryza sativa L. are mainly grown, with Indica holding the largest market share. The awareness, economics, and acceptability of Japonica rice in a food-insecure Indica rice-consuming population were surveyed. The impact of parboiling on Japonica rice was studied and the factors which most impacted stickiness were investigated through sensory and statistical analyses. A comparison of the growing climate and greenhouse gas emissions of Japonica and Indica rice was carried out by reviewing previous studies. Survey results indicated that non-adhesiveness and pleasant aroma were the most preferred properties. Parboiling treatment altered Japonica rice’s physical and chemical properties, introducing gelatinization of starch and reducing adhesiveness while retaining micronutrient concentrations. Regions with high food insecurity and high consumption of Indica rice were found to have suitable climatic conditions for growing Japonica rice. Adopting the higher-yielding, nutritious Japonica rice whose cultivation emits less GHG in these regions could help strengthen food security while reducing GHGs in global rice cultivation.
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Yakubu, D. H., J. G. Akpoko, M. O. Akinola, and Z. Abdulsalam. "Assessment of perceived effects of climate change on rice production among farmers in North-west zone, Nigeria." Ghana Journal of Agricultural Science 56, no. 1 (June 30, 2021): 48–64. http://dx.doi.org/10.4314/gjas.v56i1.4.
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Rice farming is highly dependent on environmental factors such as rainfall and temperature. Rice yield is affected by changes in these climatic elements. Rice farmers’ perceptions of the changes in climate are important determinants of the management practices they use in reducing the effects on rice production. This study assessed the perceived effects of climate change on rice production among farmers. A multistage sampling procedure was used to obtain a sample of 522 farmers. Data were obtained with the aid of structured questionnaire. The data were analyzed using both descriptive and inferential statistics. Findings revealed that majority (94%) of the respondents were males. They were married (88%) and had farming as a major occupation (89%). They perceived that climate change was posing risks to rice production (X = 2.16), would lower rice production (X = 2.07) and would continue to affect storage of rice (X = 2.01). The study determined a significant relationship (p<0.01) between farmers’ perceived effects of climate change and rice yield. It was concluded that positive perception can lead to high adoption of climate change adaptation practices. The climate change knowledge-base of the farmers needs to be improved through more sensitization on climate smart agriculture.
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Xu, Yuan, Jieming Chou, Fan Yang, Mingyang Sun, Weixing Zhao, and Jiangnan Li. "Assessing the Sensitivity of Main Crop Yields to Climate Change Impacts in China." Atmosphere 12, no. 2 (January 28, 2021): 172. http://dx.doi.org/10.3390/atmos12020172.
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Quantitatively assessing the spatial divergence of the sensitivity of crop yield to climate change is of great significance for reducing the climate change risk to food production. We use socio-economic and climatic data from 1981 to 2015 to examine how climate variability led to variation in yield, as simulated by an economy–climate model (C-D-C). The sensitivity of crop yield to the impact of climate change refers to the change in yield caused by changing climatic factors under the condition of constant non-climatic factors. An ‘output elasticity of comprehensive climate factor (CCF)’ approach determines the sensitivity, using the yields per hectare for grain, rice, wheat and maize in China’s main grain-producing areas as a case study. The results show that the CCF has a negative trend at a rate of −0.84/(10a) in the North region, while a positive trend of 0.79/(10a) is observed for the South region. Climate change promotes the ensemble increase in yields, and the contribution of agricultural labor force and total mechanical power to yields are greater, indicating that the yield in major grain-producing areas mainly depends on labor resources and the level of mechanization. However, the sensitivities to climate change of different crop yields to climate change present obvious regional differences: the sensitivity to climate change of the yield per hectare for maize in the North region was stronger than that in the South region. Therefore, the increase in the yield per hectare for maize in the North region due to the positive impacts of climate change was greater than that in the South region. In contrast, the sensitivity to climate change of the yield per hectare for rice in the South region was stronger than that in the North region. Furthermore, the sensitivity to climate change of maize per hectare yield was stronger than that of rice and wheat in the North region, and that of rice was the highest of the three crop yields in the South region. Finally, the economy–climate sensitivity zones of different crops were determined by the output elasticity of the CCF to help adapt to climate change and prevent food production risks.
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Pandey, Vibha, and Asha Sinha. "Mycoflora Associated with Decomposition of Rice Stubble Mixed with Soil." Journal of Plant Protection Research 48, no. 2 (June 1, 2008): 247–54. http://dx.doi.org/10.2478/v10045-008-0028-3.
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Mycoflora Associated with Decomposition of Rice Stubble Mixed with SoilFungi inhabiting rice stubble mixed with soil were isolated by dilution plate technique. Moisture content of decomposed rice stubble mixed with soil was 25.32% in the month of August and minimum (5.35%) in the month of April and pH varied between 6.8-7.2. The highest (47.68 x 104) fungal population in 1 g of rice stubble mixed with soil was recorded in the month of October and the lowest (16.88 x 104) in the month of May. A total of twenty-nine fungal species were recorded during the entire period of decomposition. Dueteromycetous fungi constituted 75.86 per cent of total fungal population followed by zygomycetous, oomycetous and ascomycetous fungi. Monthly variation in fungal population was correlated with substrate availability and climatic factors. Dominance ofRhizopus stolonifer, Aspergillus flavusandTrichoderma harzianumwas recorded during the decomposition whilePestalotia mangiferae, Torula graminisandAlternaria solaniwere obtained as rare fungal species.
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Fukushima, Akira. "Effects of Climatic Factors on Rice Yield in Japan: Analysis of Morphological Traits and Dry Matter Production." Japanese Journal of Crop Science 90, no. 2 (April 5, 2021): 153–59. http://dx.doi.org/10.1626/jcs.90.153.
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Nurhidayah, Nanis, Fadjar Satrija, Elok Budi Retnani, Dewi Apri Astuti, and Sri Murtini. "Prevalence and risk factors of trematode infection in swamp buffaloes reared under different agro-climatic conditions in Java Island of Indonesia." April-2020 13, no. 4 (2020): 687–94. http://dx.doi.org/10.14202/vetworld.2020.687-694.
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Background and Aim: This study was conducted to estimate the prevalence and intensity and to identify the associated risk factors and impact of trematode infection in swamp buffaloes reared under different agro-climatic conditions in Java, Indonesia. Materials and Methods: A total of 580 fecal samples were collected from swamp buffaloes in five different agro-climatic areas in Banten and Central Java Provinces, Indonesia. The fecal samples were examined using the Danish Bilharziasis Laboratory Technique to determine the prevalence and intensity of trematode infection. The risk factors for infection were determined from an in-depth interview of owners/keepers, and the results were analyzed using Chi-square tests and multiple logistic regression. The infection was also correlated with swamp buffalo production parameters (body weight and body condition score [BCS]). Results: From all fecal samples, the overall prevalence of trematode infection was 64.83%, which comprised Fasciola spp. (16.03%; mean eggs per gram [EPG]±SD: 1.02±0.43) and Paramphistomatidae (62.93%; mean EPG±SD: 1.01±0.66). The main risk factor for trematode infection was feeding animals with rice straw (odds ratio [OR]: 40.124); the risk of trematode infection was 40.142 times higher in buffaloes that consumed rice straw. Other risk factors included the frequency of anthelmintic treatment (OR: 4.666), age (OR: 0.449), and drinking water source (OR: 0.358). Trematode infection did not significantly affect the body weight or BCS of swamp buffaloes. Conclusion: Although the prevalence of trematode infection was high in swamp buffaloes, the intensity of infection was low, and the infection did not affect the animals' physical parameters.
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Maniruzzaman, M., J. C. Biswas, M. B. Hossain, M. M. Haque, U. A. Naher, and N. Kalra. "Extreme Temperature Events and Rice Production in Bangladesh." Environment and Natural Resources Research 8, no. 4 (November 30, 2018): 62. http://dx.doi.org/10.5539/enrr.v8n4p62.
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The extreme climatic events are increasing because of climate change impacts and thus likely to influence global agricultural production. Regional assessments on various abiotic factors and its influences on biological entities in diverse geographic locations are needed for understanding uncertainties. Rice grain yields and daily temperature data from 1971–2015 were used to quantify extreme temperature events in different regions of Bangladesh and their impacts on rice yields growing in three seasons of Bangladesh. The regional averaged trends in temperature extremes were consistent with global warming. The occurrence summer days (SU), tropical nights (TR), warm days (TX90), and nights (TN90) and a warm spell duration indicator (WSDI) increased by 0.388 (P0.00001), 0.103 (P0.19), 0.520 (P0.00000), 0.269 (P0.0004), 0.147 (P0.0001), days yr-1, respectively. The frequencies of cold days (TX10) and nights (TN10), and cold spell duration indicator (CSDI) showed decreasing trends of −0.143 (P0.0006), −0.254 (P0.001), and −0.04 (P0.227) day yr-1, respectively. Sharp increases of TR and TN90 indices took place in 1985–2000. Principal component analysis showed that SU, TX90, TN90, WSDI, TX10, TN10 and diurnal temperature range (DTR) were the main influencing factors for seasonal variations in rice yield. Warm and cold nights played a vital role in reducing rice yields. It can be concluded that extreme temperature events will be increased in Bangladesh and thus necessitating heat and cold tolerant rice varieties with appropriate management options for sustained future rice production in Bangladesh.
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Fahmy, K., D. Yanti, and D. A. Permata. "Effect of Water Saving Irrigation Method on Physical-Chemical Characteristics of Local Rice." IOP Conference Series: Earth and Environmental Science 1059, no. 1 (July 1, 2022): 012050. http://dx.doi.org/10.1088/1755-1315/1059/1/012050.
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Abstract Water-saving irrigation solves the water problem in rice cultivation. Where, the problem of drought due to climatic factors and competition in the use of air between sectors makes the main air requirement for rice plants. The quality of the grain affects the quality of rice as the raw material, while the cultivation technique, climate, and biotic and abiotic inspections affect the quality of the grain. This study aims to determine the physical-chemical characteristics of rice with water-saving irrigation applications. The study used 5 treatments of water availability in the field, namely less than 50% of available water, 50%-60% of available water, 60% -70% of available water, 70% -80% of available water, saturated and ach treatment three replications. Physical properties observed are head rice, broken rice, and groats. Chemical properties analyzed were amylose content, moisture content, ash content, fat content and protein content. Based on the analysis, it is known that the availability of water in the land during the plant growth period affects the chemical properties of the rice of the Bujang Marantau variety and based on the specifications for the quality requirements of rice (SNI 6128: 2015) it is included in the medium quality class 1.
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Waris, Amtul, and N. Sunder Rao. "Factors influencing adoption of climate resilient paddy production practices in Andhra Pradesh, India." Oryza-An International Journal on Rice 57, no. 3 (September 30, 2020): 240–50. http://dx.doi.org/10.35709/ory.2020.57.3.9.
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This paper examined the factors affecting adoption of climate resilient practices in paddy production using data collected from farmers of Andhra Pradesh during the year 2019. Majority of the farmers reported increase in temperature, unpredictability in weather, reduced duration of winter, uneven and irregular rainfall as the climatic change events. The practices being followed by farmers which fit the adaptation criteria were timely sowing and weeding, proper spacing and formation of soil bunds. The climate resilient practices most preferred and prioritized by paddy farmers were direct sown rice, drought tolerant varieties, weather forecast services, integrated nutrient management, growing of green manure crops followed by crop diversification, crop insurance, system of rice intensification (SRI) and use of leaf color chart. Market demand, assured irrigation, land fertility, and availability of finance were the major factors governing the decision to grow crops. The educational level of farmers exhibited significant and positive correlation with practices namely SRI, use of leaf color chart, crop insurance, weather forecast services and drought tolerant varieties. Analysis of factors influencing the adoption of climate resilient paddy production practices would help to promote and disseminate these practices to increase the adoption rate and also aid in the framing of appropriate policies.
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Jha, Ranjeet Kumar, Prasanta K. Kalita, and Richard A. Cooke. "Assessment of Climatic Parameters for Future Climate Change in a Major Agricultural State in India." Climate 9, no. 7 (July 1, 2021): 111. http://dx.doi.org/10.3390/cli9070111.
Full textAbstract:
The change in future climate will have a prominent impact on crop production and water requirement. Crop production is directly related to climatic variables. Temperature, solar radiation, wind, precipitation, CO2 concentration and other climatic variables dictate crop yield. This study, based on long-term historical data, investigates the patterns and changes in climatic variables (precipitation, temperature, and solar radiation) that would most significantly affect the future crop production in many parts of the world, and especially in India, where most farmers depend on rainfall for rice production. Statistical analyses—box and whisker plot, mean absolute error, Taylor diagram, double mass curve, Mann–Kendall trend test, and projected climate change—were used to assess the significance of the climatic factors for the purpose of agricultural modeling. Large variability in precipitation may cause the flash floods and affect the farming, and at the same time, increase in temperature from baseline period will lead to high water requirement by crops, and may cause drought if rainfall does not occur. Decrease in solar radiation will affect crop growth and development, and thus, would hamper the crop production. The results of this study would be useful in identifying the negative issues arising from climate change in future agricultural practices in Bihar, India. Furthermore, the results can also help in developing management strategies to combat the climate change impact on crop production.
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Ghimire, Reeta, and Suryamani Dhungana. "COMPARATIVE ADVANTAGE OF ARECA NUT OVER RICE IN JHAPA, NEPAL." Reviews in Food and Agriculture 2, no. 1 (December 21, 2020): 09–15. http://dx.doi.org/10.26480/rfna.01.2021.09.15.
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This study was conducted to assess comparative economic analysis of the areca nut and rice production. This study also aimed to assess the major governing factors and overall economy involved in the production, major problems leading to shift rice farming, key determinants of areca nut production in the study area. Seventy areca nut growers were selected by simple random technique and thirty rice growers were selected by purposive sampling technique. Three potential areas of Jhapa district: Mechinagar municipality 1, 2, 3, 4; Buddhashanti and Arjundhara were selected as the survey site where there is major shifting of rice cultivation for commercial areca nut farming. The data collection was done from both primary and secondary sources. Descriptive statistics benefit cost analysis, resource use efficiency through Cobb-Douglas economic model was used to analyze data using SPSS. It was found that areca nut production had significantly higher gross return in comparison to rice whose production was affected by factors viz. labor, manure, chemical fertilizers, pesticides and irrigation in areca nut while machineries use, chemical fertilizers, seeds, manure and labor for rice production. The major reason for adopting areca nut cultivation was easier in cultivation practice, low cost of cultivation and high economic return. The B/C ratio of areca nut and rice was 2.02 and 0.99 respectively which was statistically significant. The productivity of the areca nut can be increased by adopting improved cultivation practices and scientific technology. Since, agro climatic conditions favors the production of areca nut cultivation, it should be shifted from small scale to commercialized form.
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Ma, Xiaoshuang, Zunyi Huang, Shengyuan Zhu, Wei Fang, and Yinglei Wu. "Rice Planting Area Identification Based on Multi-Temporal Sentinel-1 SAR Images and an Attention U-Net Model." Remote Sensing 14, no. 18 (September 13, 2022): 4573. http://dx.doi.org/10.3390/rs14184573.
Full textAbstract:
Rice is one of the most important food crops for human beings. The timely and accurate understanding of the distribution of rice can provide an important scientific basis for food security, agricultural policy formulation, and regional development planning. As an active remote sensing system, polarimetric synthetic aperture radar (PolSAR) has the advantage of working both day and night and in all weather conditions and hence plays an important role in rice growing area identification. This paper focuses on the topic of rice planting area identification using multi-temporal PolSAR images and a deep learning method. A rice planting area identification attention U-Net (RIAU-Net) model is proposed, which is trained by multi-temporal Sentinel-1 dual-polarimetric images acquired in different periods of rice growth. In addition, considering the diversity of the rice growth period in different years caused by the different climatic conditions and other factors, a transfer mechanism is investigated to apply the well-trained model to monitor the rice planting areas in different years. The experimental results show that the proposed method can significantly improve the classification accuracy, with 11–14% F1-score improvement compared with the traditional methods and a pleasing generalization ability in different years. Moreover, the classified rice planting regions are continuous. For reproducibility, the source codes of the well-trained RIAU-Net model are provided.