Kinds Of Rice Research Articles

Varieties and cooking conditions difference in quality of instant brown rice

Amylose content is an important indicator that determines the hardness and softness of rice, which depends on rice varieties. Three types of specialty colored rice in Vietnam were selected for research on instant rice production including DH6 brown rice (DH6), Huyet Rong rice (HR), and Cam Cai Lay rice (CL). Proximate compositions and antioxidant properties such as total anthocyanin and total phenolic content in three kinds of rice were analyzed and compared. In addition, the effect of varieties and ratios of rice and water on the cooking time, volume expansion, antioxidant compounds and sensory properties were observed. The results showed that varieties led to differences in the nutritional profile of rice. CL and HR have the highest anthocyanin content (54.9-56.5 mg/100 g). DH6 brown rice is considered as the low amylose rice, with the content of amylose about 4.6%. Besides, it was also found that using “Cam Cai Lay” rice could create products with good structure and high sensory value. The results also confirmed that the product is of good quality when using a ratio of rice: water 1:2 and a cooking time of 30 mins. Types of rice and cooking conditions remarkably affected the quality of instant rice, which could further optimize for the up-scale process.

Alternative polyadenylation profiles of susceptible and resistant rice (Oryza sativa L.) in response to bacterial leaf blight using RNA-seq.

Alternative polyadenylation (APA) is an important pattern of post-transcriptional regulation of genes widely existing in eukaryotes, involving plant physiological and pathological processes. However, there is a dearth of studies investigating the role of APA profile in rice leaf blight. In this study, we compared the APA profile of leaf blight-susceptible varieties (CT 9737-613P-M) and resistant varieties (NSIC RC154) following bacterial blight infection. Through gene enrichment analysis, we found that the genes of two varieties typically exhibited distal poly(A) (PA) sites that play different roles in two kinds of rice, indicating differential APA regulatory mechanisms. In this process, many disease-resistance genes displayed multiple transcripts via APA. Moreover, we also found five polyadenylation factors of similar expression patterns of rice, highlighting the critical roles of these five factors in rice response to leaf blight about PA locus diversity. Notably, the present study provides the first dynamic changes of APA in rice in early response to biotic stresses and proposes a possible functional conjecture of APA in plant immune response, which lays the theoretical foundation for in-depth determination of the role of APA events in plant stress response and other life processes.

Optimizing extrusion processes: Development of extrudates utilizing ISP and wheat gluten, incorporating diverse concentrations of rice or legume varieties

The physiochemical, textural and nutritional properties of novel extrudates generated from various kinds of rice and legume (beans) varieties were comprehensively evaluated and compared in this study. The developed extruded products were composed of 5 %, 10 %, 15 %, or 20 % of different varieties of rice, including brown rice (R1), Asemi (R2), solchanmi (R3), sechanmi (R4), sejongchal (R5), and seosi 1 (R6), and legumes varieties including soybean (B1), chickpea (B2), great northern bean (B3), pea (B4), lentil (B5), and black bean (B6). Visible appearance analysis reveals that legumes (beans) and rice extrudates appeared more compact as the concentration of ingredients increased. Meanwhile, the integrity index decreased as the concentration level of treatment group content decreased (p < 0.05). A marginal difference in textural values is observed between legume (beans) and rice varieties compared to the control. Furthermore, analysis of nutritional composition indicates that the crude protein and water holding capacity (WHC) decreased as the concentration of both extrudates groups decreased (p < 0.05). This study provides useful information regarding the optimization of the extrusion process and the development of various extrudates by comparative analysis of rice- and legume-based extrudates.

Antioxidant Activity of Colored Rice Flour with Drying Temperature Variations

Rice is the main product obtained from grain produced by the rice plant (Oryza sativa) whose entire layer has been peeled off and the bran layer has been separated in the form of head rice, whole rice grains, broken rice, and groats. There are several types of pigmented rice such as brown rice, black rice and black glutinous rice. These kinds of rice have not been utilized optimally so that a processing process is needed to increase the economic value of the colored rice. One of the processing is made as flour so that it is durable and easy to distribute and flour can be used as a food processing material that is practical, easy and durable. One of the processed rice is rice flour. Colored rice flour is the result of processing brown rice, black rice and black glutinous rice by milling or flouring. This study aims to determine the optimal temperature in the manufacture of colored rice flour in order to obtain colored rice flour which has high antioxidant activity and high anthocyanins. The result of flouring is in the form of very fine grains. Flour has a low water content so it is more durable and long lasting. In order to reduce the moisture content, drying is carried out. The study used a completely randomized design (RAL) consisting of 2 factors. The first factor was the type of colored rice, while the second factor was the drying temperature of rice flour. The optimal treatment results were a combination of black glutinous rice flour treatment and a drying temperature of 45°C for 60 minutes, the following results were obtained: water content 7.44%, antioxidant activity by DPPH method 69.89%, antioxidant activity by FRAP method 81.35%, yield 25.29%, total phenol 175.85 mg/kg, and anthocyanin levels 327.10 ppm. Changes in temperature during the drying process of colored rice will affect the characteristics of the colored rice.

CLASSIFICATION OF RICE TEXTURE BASED ON RICE IMAGE USED THE CONVOLUTIONAL NEURAL NETWORK METHOD

There are several types of rice that are commonly sold in rice stores. Many people, especially millennials, are not familiar with the different types of rice such as IR42 rice, Pera rice, sticky rice, and Pandan Wangi rice. Therefore, digital image processing techniques are needed to help analyze the types of rice to help people know what kind of rice they are going to buy at the market. The method commonly used in image processing for image classification is the convolutional neural network (CNN) method. Currently, CNN has shown the most significant results in image classification. This research used a dataset of 1560 rice images. The data was divided into two sets (training data and validation data) with an 80:20 ratio. The accuracy obtained by the CNN model using InceptionV3 for the rice data was 95.7% with a loss of 0.123. The Android application developed in this research achieved an accuracy of 83,4% based on the testing results calculated using the confusion matrix.

Analisis Segmentasi Konsumen Warunk AIUEO Di Kota Bandung Dengan Analisis Faktor Dan Analisis Cluster

Warunk AIUEO is a place to eat that provides menus are usually served by food stalls. This restaurant usually crowded with young people, provides main menus such as noodles, bread, and various kinds of rice. Warunk AIUEO established since 2014, is able to increase fast food noodles but still at affordable prices. Therefore, this study aims to see what factors motivate consumers to visit this place based on the profile characteristics of consumers. This study used questionnaire as a tool for data collection, respondents are limited who live in Bandung. The number of respondents in this study amounted to 40 respondents. The variables in the questionnaire are 14 manifest variables which are processed using factor analysis to reduce the number of variables to 3 factors which represent the 14 initial variables. These three factors are reliability, assurance, and serviceability. The results of the factor analysis are then used to input cluster analysis data, which aims to group respondents based on their characteristics when deciding to visit Warunk AIUEO. Cluster analysis shows that 3 clusters are formed which are labeled modern, functional, and simple.

Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation.

Agriculture is the most critical sector for food supply on the earth, and it is also responsible for supplying raw materials for other industrial productions. Currently, the growth in agricultural production is not sufficient to keep up with the growing population, which may result in a food shortfall for the world's inhabitants. As a result, increasing food production is crucial for developing nations with limited land and resources. It is essential to select a suitable crop for a specific region to increase its production rate. Effective crop production forecasting in that area based on historical data, including environmental and cultivation areas, and crop production amount, is required. However, the data for such forecasting are not publicly available. As such, in this paper, we take a case study of a developing country, Bangladesh, whose economy relies on agriculture. We first gather and preprocess the data from the relevant research institutions of Bangladesh and then propose an ensemble machine learning approach, called K-nearest Neighbor Random Forest Ridge Regression (KRR), to effectively predict the production of the major crops (three different kinds of rice, potato, and wheat). KRR is designed after investigating five existing traditional machine learning (Support Vector Regression, Naïve Bayes, and Ridge Regression) and ensemble learning (Random Forest and CatBoost) algorithms. We consider four classical evaluation metrics, i.e., mean absolute error, mean square error (MSE), root MSE, and R 2, to evaluate the performance of the proposed KRR over the other machine learning models. It shows 0.009 MSE, 99% R 2 for Aus; 0.92 MSE, 90% R 2 for Aman; 0.246 MSE, 99% R 2 for Boro; 0.062 MSE, 99% R 2 for wheat; and 0.016 MSE, 99% R 2 for potato production prediction. The Diebold-Mariano test is conducted to check the robustness of the proposed ensemble model, KRR. In most cases, it shows 1% and 5% significance compared to the benchmark ML models. Lastly, we design a recommender system that suggests suitable crops for a specific land area for cultivation in the next season. We believe that the proposed paradigm will help the farmers and personnel in the agricultural sector leverage proper crop cultivation and production.

Effects of Different Cooking Methods on Glycemic Index, Physicochemical Indexes, and Digestive Characteristics of Two Kinds of Rice

Diets including rice and rice-cooking methods influence digestive processes and blood glucose control. In this research, the effects of three different treatments (high-temperature and low-pressure plasma cooking, high-temperature cooking at atmospheric pressure (traditional method), and high-temperature cooking at high pressure) on the texture, color, molecular structure, infrared spectrum, microstructure, debranching enzyme activity, amylopectin content, glycemic index (GI), and in vitro starch digestibility of two rice varieties were studied. The results showed that the hardness, elasticity, viscosity, and chewability of rice after the high-temperature and low-pressure plasma treatment had no obvious changes compared with the traditional cooking method. A SEM analysis showed that the physical properties of the hydrophilicity on the surface of the rice increased after the high-temperature and low-pressure plasma treatment; the debranching enzyme activity reached 3.88 U/g (Xiantao rice) and 3.81 U/g (Heyuan rice), respectively, the amylose content of raw rice reached 68.77 mg/mL (Xiantao rice) and 64.92 mg/mL (Heyuan rice), which increased by 43.31 mg/mL and 39.46 mg/mL, respectively, and the GI was within the medium glycemic index of 56–69. The resistant starch in the Heyuan and Xiantao rice varieties amounted to 88.60 ± 3.10% and 89.40 ± 3.58%, respectively, after the high-temperature and low-pressure plasma processing method. The results showed positive effects and application potential for the cooking method in respect of diabetic consumers.

Metabolomics and transcriptomics analyses provide new insights into the nutritional quality during the endosperm development of different ploidy rice.

Autotetraploid rice is developed from diploid rice by doubling the chromosomes, leading to higher nutritional quality. Nevertheless, there is little information about the abundances of different metabolites and their changes during endosperm development in autotetraploid rice. In this research, two different kinds of rice, autotetraploid rice (AJNT-4x) and diploid rice (AJNT-2x), were subjected to experiments at various time points during endosperm development. A total of 422 differential metabolites, were identified by applying a widely used metabolomics technique based on LC-MS/MS. KEGG classification and enrichment analysis showed the differences in metabolites were primarily related to biosynthesis of secondary metabolites, microbial metabolism in diverse environments, biosynthesis of cofactors, and so on. Twenty common differential metabolites were found at three developmental stages of 10, 15 and 20 DAFs, which were considered the key metabolites. To identify the regulatory genes of metabolites, the experimental material was subjected to transcriptome sequencing. The DEGs were mainly enriched in starch and sucrose metabolism at 10 DAF, and in ribosome and biosynthesis of amino acids at 15 DAF, and in biosynthesis of secondary metabolites at 20 DAF. The numbers of enriched pathways and the DEGs gradually increased with endosperm development of rice. The related metabolic pathways of rice nutritional quality are cysteine and methionine metabolism, tryptophan metabolism, lysine biosynthesis and histidine metabolism, and so on. The expression level of the genes regulating lysine content was higher in AJNT-4x than in AJNT-2x. By applying CRISPR/Cas9 gene-editing technology, we identified two novel genes, OsLC4 and OsLC3, negatively regulated lysine content. These findings offer novel insight into dynamic metabolites and genes expression variations during endosperm development of different ploidy rice, which will aid in the creation of rice varieties with better grain nutritional quality.

Comparison of Convolutional Neural Network and Artificial Neural Network for Rice Detection

Rice is a staple food for people in tropical countries. Indonesia is a country that needs a lot of rice for its people in providing food. This country has implemented various ways to plant rice properly. Many agricultural fields have implemented harvests up to three times a year, due to the role of technology which has helped a lot in agriculture. Planting to harvest already uses advanced technology and tools. A good rice harvest can improve the welfare of the surrounding community. Meanwhile with lots of rice products because many rice plants produce with lots of rice. The type of rice from different regions of origin, the yield of rice is also different from other regions of origin. But with advances in technology, it is possible to plant rice whose types of plants come from other regions. The rice sold to the public varies, so that people who are unfamiliar with the types of rice find it difficult to detect the types of rice. Machine learning is present in detecting various kinds of rice. Machine learning, especially deep learning can make better detection, because one of the deep learning methods works similar to the human brain. In the human brain there are millions or even billions of neurons. This research uses neural networks in experiments using public datasets. Experiments using Artificial Neural Networks achieve an training accuracy of 98.2%, loss: 0.2351. It takes about 10 minutes of training. Testing accuracy reaches accuracy: 96%, loss: 0.6641. By conducting experiments using the Convolution Neural Network, it achieves an accuracy of 99.3% and the training time requires around 18 hours. The purpose of this research is to classify the rice image dataset and detect the rice image.

Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables

The long-term storage of rice will inevitably be involved in the deterioration of edible quality, and aged rice poses a great threat to food safety and human health. The acid value can be employed as a sensitive index for the determination of rice quality and freshness. In this study, near-infrared spectra of three kinds of rice (Chinese Daohuaxiang, southern japonica rice, and late japonica rice) mixed with different proportions of aged rice were collected. The partial least squares regression (PLSR) model with different preprocessing was constructed to identify the aged rice adulteration. Meanwhile, a competitive adaptive reweighted sampling (CARS) algorithm was used to extract the optimization model of characteristic variables. The constructed CARS-PLSR model method could not only reduce greatly the number of characteristic variables required by the spectrum but also improve the identification accuracy of three kinds of aged-rice adulteration. As above, this study proposed a rapid, simple, and accurate detection method for aged-rice adulteration, providing new clues and alternatives for the quality control of commercial rice.

Assessing Pb-Cr Pollution Thresholds for Ecological Risk and Potential Health Risk in Selected Several Kinds of Rice.

The expected typical gley moist paddy soil was collected in Zhejiang Province, China, and conventional (XS 134 and JH 218) and varieties of hybrid (YY 538 and CY 84) rices were used for a pot experiment. The effects of exogenous heavy metals lead (Pb) and chromium (Cr) on rice growth and the accumulation of heavy metals in the grains were studied. The results show that heavy metal concentrations in soil and rice grains have significant correlations, and Pb and Cr significantly (p < 0.05) inhibited the rice growth (plant height and panicle weight). The potential ecological hazard index (RI) of heavy metals in the soil was 4.88−6.76, which belongs to the grade of “slight ecological hazard”, and Pb provides a larger potential ecological hazard than Cr in the studied region. The thresholds for potential health risks and ecological risks for Pb and Cr were lower than the “Control Standards for Soil Pollution Risk of Agricultural Land (Trial)” (GB15618-2018, China). This work provides the basis for soil pollution control for Pb and Cr and the selection of rice cultivars from Pb and Cr accumulated soils.

Phytotoxicity, uptake, and translocation of two halogenated flame retardants and cadmium in two rice varieties

Dechlorane Plus (DP) and Tetrabromobisphenol A (TBBPA) are the halogenated flame retardant with the highest production volume, cadmium (Cd) is regarded as one of the hazardous heavy metals due to its bio toxicity and bioaccumulation in the environment, and it will cause environmental pollution and affect human health, so a pot experiment was conducted to investigate the phytotoxicity on seed germination and seedling of two rice varieties. The results showed that with the increasing of DP, TBBPA and Cd concentrations in soil, the germination rate, germination index and vigor index of two rice varieties decreased, and the germination of Number 7 rice was affected more than Number 1 rice. Halogenated flame retardants and Cd in soil significantly promoted root activity and proline, and significantly inhibited protein and soluble sugar contents of two rice varieties. In addition, the responses of the two rice varieties seedlings to different pollutants were obviously different. The activity of superoxide dismutase (SOD) in two kinds of rice was improved, and a large amount of malonyldialdehyde (MDA) was induced. But the activity of catalase (CAT) in Number 7 rice was increased under the action of DP and TBBPA, while the activity of Number 1 rice was increased under the action of DP and inhibited under the pollution of TBBPA. Bioaccumulation factors of DP and Cd were 0.025–0.042 and 6.59–14.20, bio transport coefficients were 0.39–0.48 and 0.034–0.087. There was no significant difference in the bioaccumulation of DP in the two rice varieties, but TBBPA and Cd were more easily bio accumulated in the Number 1 rice. These findings would provide some essential information for interpreting the ecological risks of two halogenated flame-retardants and Cd in plants.

Chemical compositions and antioxidant activities of the native rice in Thailand

Many kinds of rice are processed in the processing of rice landraces. The farmers can earn more money by milling rice for milled rice, brown rice, and germinated brown rice. The aims of this study were to 1) investigate the chemical compositions, nutritional properties, and biological activities of antioxidants, and 2) to develop health supplements for the elderly together with village community. The native rice selected by the committee was categorized into three types: the Jib rice, the Black Fragrant rice (Oryza sativa), and the Dok-makam rice for analysis in this study. The results showed that the Dok-makam rice had the greatest protein, calcium, fiber, vitamins B1, sodium, amylose, and niacin. The most total fat, calcium, iron, zinc, and copper energy is provided by the Black Fragrant rice (Oryza sativa). The Jib rice contains the most carbohydrate, potassium, and magnesium. In terms of antioxidant capacity, it was found that the three native rice cultivars had enough antioxidant capacity. However, the Black Fragrant rice (Oryza sativa) had the highest antioxidant capacity followed by the Jib rice, and the Dok-makam rice.

An MLP Network Based on Residual Learning for Rice Hyperspectral Data Classification

In order to classify several kinds of rice (including the rice grown by plasma seed treatment), the datasets of the hyperspectral images (HSIs) of rice were constructed. Multilayer perceptron (MLP) has a good classification performance on rice HSIs because it removes translation invariance and local connectivity. Residual learning can improve the feature extraction ability of MLP network because of retaining the original information, preventing the model from degenerating, and facilitating the rapid convergence of the model. Therefore, a rice hyperspectral image classification model based on MLP network and residual learning is proposed. The results show that the proposed model has a higher classification accuracy (98.48%) than the other common classification models. In addition, the model has been verified on two public datasets with the accuracy higher than 99.95%.

The growth and production of field rice (Oryza sativa l.) Inpari 9 and Mentik Wangi variety on peat land and peat buried

Rice plant is paddy producing plant needed by most of Indonesians as staple food. Sei Geringging Village in Kampar District, Kampar Kiri Sub-District had technically irrigated field on peat land and peat buried. Farmers on Sei Geringging Village farmed 2 kinds of rice which were prime variety and local variety. Most of prime variety farmed was Inpari 9 and the local variety was Mentik Wangi. Farmers on Sei Geringging Village had been farming the rice without knowing which variety had been best to farm on peat land and on peat buried that the yield had not been optimal. This research aimed to know the comparison of maximum growth and production rate of Inpari 9 and Mentik Wangi variety rice on peat land and peat buried. This research was done by a survey with descriptive method .Treatment combination was repeatedly done 4 times resulting 16 unit trial squares. Each square had 5 sample plants. Best growth was on peat land that planted with the Inpari 9 variety and on peat buried was planted with Mentik Wangi variety resulting yield of 4,20 ton.ha-1

Farmers' varieties to increase nutritional security, eco-system resiliency and farmers' income

The successful development and deployment of widely adapted, photo-thermo insensitive and input responsive high yielding varieties (HYVs) in cereals along with required inputs and favorable policy reforms heralded green revolution (GR) in the country which changed India's status from food unsecured food secured and food surplus nation. However, HYVs displaced the locally adapted, climate resilient and resource efficient, but low yielding farmer’s varieties (FVs) initially from the irrigated areas and later on from the risk prone, low input, marginal and rainfed areas but the HYVs/ hybrids could not replace FVs completely and FVs still occupy significant areas in different low input marginal areas and still providing valuable ecosystem's provisioning, regulating and cultural services. India being member of the World Trade Organization (WTO) adopted and implemented Trade Related Intellectual Property Rights (TRIPS) in the form of Protection of Plant Varieties and Farmers' Rights (PPV&amp;FR) Act (2001) and Geographical Indications of Goods (Registration and Protection) Act (1999) known GIs to protect even FVs by providing PVP certificates and registered as Goods respectively by these legislations. FVs are also known to have special nutritional/medicinal/ therapeutic value in addition to adaptive traits have been protected either through PPV&amp;FR Act or through GIs as Goods. Moreover, under GIs registration and protection FVs being having the heritage varietal status supposed to have high commercial values for trade like several kinds of Rice. Interestingly, in both legislative protections, Rice FVs dominate the scene. Virtually, the economical produce of FVs as Goods under GIs have domestic as well as international market and receive the premium prices. The FVs with special nutritional/aroma/medicinal traits with distinct identity and protected under PPV&amp;FR Act, should also get higher economic returns if there is policy support by the Government. Currently, to mitigate the adverse effects due to climate change, breeding new varieties with specific instead of wide adaptation is advocated and the FVs by virtue of having specific adaptive traits as well as increased resource efficiency present themselves as ideal candidates for using as donors. The FVs can also be used for enhanced nutritional security as well as promoting agricultural trade to increase farmers' income.

Nutritional Values of Tung Samrit Jasmine Rice for Geographical Indication in Nakhon Ratchasima Province

The nutrition values of jasmine rice, i.e., Khao Dowk Mali (KDM) 105, from the Tung Samrit area covering 14 districts of Nakhon Ratchasima province of Thailand, were analyzed during the production seasons in 2015 and 2016. The analyzed values involved moisture, carbohydrate, protein, fat, energy, ash, vitamin E, vitamin B1, niacin B3, iron, zinc, and 2-acetyl-1-pyrroline (2-AP) contents. One of the values, 2-AP, a major aroma compound, showed significantly higher the other kinds of rice (2.71±0.05 (mg/100 g)). The comparison to the literature suggests that the rice product from the Tung Samrit area is up to the national standard. In addition to the use in the documentation for the geographical indication (GI) registration, the collaborated plans and policy were derived with the participation of farmers, dealers, and government agencies to promote sustainable “Tung Samrit jasmine rice”. HIGHLIGHTS Estimation of nutrition values of jasmine rice collected from the Tung Samrit area covering 14 districts of Nakhon Ratchasima province of Thailand Highly accumulation of 2-AP in Tung Samrit jasmine rice Tung Samrit jasmine rice is promote to Thailand geographical indication GRAPHICAL ABSTRACT

Evaluation of Hardness and Retrogradation of Cooked Rice Based on Its Pasting Properties Using a Novel RVA Testing

With rice being one of the most important crops worldwide, rapid and objective quality evaluation methods based on physicochemical measurements of rice are necessary. We compared the pasting properties of various rice samples using three different heating and cooling programs (maximum temperatures were 93, 120, and 140 °C, respectively) in a newly developed high-temperature-type Rapid Visco Analyzer (RVA, RVA 4800). Furthermore, we investigated the relationship between the different pasting properties measured by the three programs, with starch microstructure measured by iodine scanning analysis, the physical properties of the cooked rice measured by a Tensipresser after 2 h at 25 °C or after 24 h at 6 °C, and prolamin ratio measured by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). The consistency value (final viscosity–minimum viscosity) yielded by a new program of maintenance for 2 min at 120 °C using RVA 4800 had a higher positive correlation with retrograded surface hardness H1(R) (r = 0.92), retrograded overall hardness H2(R) (r = 0.90), and the absorbance at λmax (Aλmax) of cooked rice (r = 0.88) and resistant starch (r = 0.80) than those by the conventional program at 93 °C. We developed estimation formulae for H1(R) for various kinds of rice, of which the determination coefficient was 0.86. It led to an easy and rapid assay method for the cooking properties of the various rice samples.

Effects of Superparamagnetic Nanomaterials on Soil Microorganisms and Enzymes in Cadmium-Contaminated Paddy Fields

Using Fe3O4 and hydroxyapatite as raw materials, superparamagnetic nanometer-sized Fe3O4-phosphate functionalized materials (MFH) were prepared. Soil was subsequently magnetically repaired by adding MFH to cadmium-contaminated paddy field soil. Two kinds of rice with high (Yuzhenxiang) and low (Xiangwanxian-13) cadmium enrichment were selected for conduct pot experiments to study the effect of MFH magnetic separation on soil microorganisms and enzymes, and explore the possibility of application in the remediation of cadmium-polluted farmland. The results showed that MFH application improved the soil remediation effect, with significantly reduced total Cd (38.9%) and available Cd (27.3%) contents. In addition, the Cd content of the two kinds of rice grain was significantly reduced. After MFH magnetic separation, soil microbial community diversity and richness were decreased during the jointing, heading, and maturing stages of the two rice varieties. Treatment of cultivated Yuzhenxiang rice with high concentrations of Cd significantly increased the abundance of dominant Firmicute bacteria in the rice field during the jointing and heading stages. With the use of MFH in the magnetic separation, urease, catalase, and soil peroxidase activity were improved during the jointing, heading, and maturing stages of the two rice soils. The POD enzyme activity in the soil planted with Yuzhenxiang was slightly higher than that planted with Xiangwanxian-13, while urease activity showed the opposite trend.