Pub Date : 2022-10-10DOI: 10.38007/ajas.2022.030406
Xuanting Huang
: More than half of the world's population is dominated by rice. In the context of reduced cultivated land and increasingly scarce water resources, increasing rice production has become an urgent problem in order to meet the needs of world's growing population. On the basis of previous work, this paper combines the entropy weight method with the fuzzy comprehensive evaluation method to expand the method of comprehensive evaluation of rice quality. The main purpose is to establish an entropy weight fuzzy comprehensive evaluation model and apply it to comprehensive evaluation of rice quality of japonica rice variety in 12 different producing areas. At the same time, identity the marker genotypes of parental yield traits, and found 31 marker genotypes are significantly correlated with the yield of parental yield traits. The two marker genotypes are related to the six traits of the parent; two marker genotypes are related to the 5 traits of parental at the same time; there are four marker genotypes associated with the four traits of the male parent; There are five marker genotypes associated with maternal features; there are three marker genotypes associated with the parental and maternal genetic traits; There are 15 marker genotypes associated with parental traits of individual traits. The marker genotype of the RM23~150/160 was positive for 4 genotype effects. The number of per panicle, daily yield per plant, ear length and number of secondary branches increased by 12.1%, 11.3%, 10.4% and 14.9%, respectively. The results showed that the whiteness, different cultivar rate, defect rate and amylose content may be the main indicators affecting differences in quality of various varieties’ rice. Among the 12 varieties, the comprehensive quality of Ji japonica in 88 and Ji japonica in 83 was better, evaluation level is I; long white 19 and long white 25
{"title":"Entropy Weight Fuzzy Comprehensive Evaluation in Screening of Japonica Rice Quality","authors":"Xuanting Huang","doi":"10.38007/ajas.2022.030406","DOIUrl":"https://doi.org/10.38007/ajas.2022.030406","url":null,"abstract":": More than half of the world's population is dominated by rice. In the context of reduced cultivated land and increasingly scarce water resources, increasing rice production has become an urgent problem in order to meet the needs of world's growing population. On the basis of previous work, this paper combines the entropy weight method with the fuzzy comprehensive evaluation method to expand the method of comprehensive evaluation of rice quality. The main purpose is to establish an entropy weight fuzzy comprehensive evaluation model and apply it to comprehensive evaluation of rice quality of japonica rice variety in 12 different producing areas. At the same time, identity the marker genotypes of parental yield traits, and found 31 marker genotypes are significantly correlated with the yield of parental yield traits. The two marker genotypes are related to the six traits of the parent; two marker genotypes are related to the 5 traits of parental at the same time; there are four marker genotypes associated with the four traits of the male parent; There are five marker genotypes associated with maternal features; there are three marker genotypes associated with the parental and maternal genetic traits; There are 15 marker genotypes associated with parental traits of individual traits. The marker genotype of the RM23~150/160 was positive for 4 genotype effects. The number of per panicle, daily yield per plant, ear length and number of secondary branches increased by 12.1%, 11.3%, 10.4% and 14.9%, respectively. The results showed that the whiteness, different cultivar rate, defect rate and amylose content may be the main indicators affecting differences in quality of various varieties’ rice. Among the 12 varieties, the comprehensive quality of Ji japonica in 88 and Ji japonica in 83 was better, evaluation level is I; long white 19 and long white 25","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114488558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-10DOI: 10.38007/ajas.2022.030405
Xiaoke Tang
: Starting from the rural social governance, the fragmentation of farmland, through the promotion of new technology, new equipment, provided by the agricultural service organization unified, kind of, plant protection, every kind of professional service all the way, to achieve "plow coupon" large-scale cultivation of rice, improve agricultural labor productivity and land benefit, provided a basis for the new rural construction. In this study, rice farmers were taken as the research object. From the perspective of agronomy -- rural social governance, the factor input method of production function was adopted to study the large-scale cultivation of "combined tillage and combined planting" of rice. The input of production factors is mainly divided into technical input, labor input and capital input. Through these three aspects, used to select the area of the middle and lower reaches of the Yangtze river in jiangsu, zhejiang, jiangxi, hunan, hubei and sichuan six provinces of rice planting area of peasant household survey data, combined with the related influence factors of the rural social governance, to explore the production of rice farmers behavior characteristics and its influencing factors, in order to summarize "plow coupon" rice scale cultivation path. Through practice "plow coupon", explore the traditional agriculture to realize the another new way to large-scale planting rice, rice scale planting area yield is about 32% before ascension, make the efficiency increased by more than 60%, make land resources optimization PeiZhiLv increased 20%, 30%, to strengthen the rural organization construction, achieved good results. Through the selection of samples of rice planting area of peasant household survey data, demonstration and promotion of "plow coupon" scale planting rice path, which changes the land management from extensive to scale, promoted the high efficiency, low consumption of large farming equipment utilization, reduce operation cost, realize the
{"title":"Agriculture - Rural Social Governance Horizon, \"Plow Coupon\" Rice Scale Cultivation Path","authors":"Xiaoke Tang","doi":"10.38007/ajas.2022.030405","DOIUrl":"https://doi.org/10.38007/ajas.2022.030405","url":null,"abstract":": Starting from the rural social governance, the fragmentation of farmland, through the promotion of new technology, new equipment, provided by the agricultural service organization unified, kind of, plant protection, every kind of professional service all the way, to achieve \"plow coupon\" large-scale cultivation of rice, improve agricultural labor productivity and land benefit, provided a basis for the new rural construction. In this study, rice farmers were taken as the research object. From the perspective of agronomy -- rural social governance, the factor input method of production function was adopted to study the large-scale cultivation of \"combined tillage and combined planting\" of rice. The input of production factors is mainly divided into technical input, labor input and capital input. Through these three aspects, used to select the area of the middle and lower reaches of the Yangtze river in jiangsu, zhejiang, jiangxi, hunan, hubei and sichuan six provinces of rice planting area of peasant household survey data, combined with the related influence factors of the rural social governance, to explore the production of rice farmers behavior characteristics and its influencing factors, in order to summarize \"plow coupon\" rice scale cultivation path. Through practice \"plow coupon\", explore the traditional agriculture to realize the another new way to large-scale planting rice, rice scale planting area yield is about 32% before ascension, make the efficiency increased by more than 60%, make land resources optimization PeiZhiLv increased 20%, 30%, to strengthen the rural organization construction, achieved good results. Through the selection of samples of rice planting area of peasant household survey data, demonstration and promotion of \"plow coupon\" scale planting rice path, which changes the land management from extensive to scale, promoted the high efficiency, low consumption of large farming equipment utilization, reduce operation cost, realize the","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-10DOI: 10.38007/ajas.2022.030403
Vempaty Velmugan
: improving the yield and quality of crops. However, the problem of pesticide residues is becoming more and more serious due to the extensive use of pesticides, potential teratogenicity and carcinogenicity pose a serious threat to consumers' health. In order to control the pollution of organophosphorus pesticide residues, besides strengthening the management of pesticide use, the key is to develop simple, fast and sensitive detection technology. Because soybean contains more oil and fat than cereals, it brings many difficulties to the analysis of pesticides. So far, there is no mature method in China. Based on the above background, the aim of this paper is to determine organophosphorus pesticides in soybean by gas chromatography. In this paper, the extractant and sample purifier of organic phosphorus in soybean were discussed, and the organophosphorus pesticides in soybean were extracted with acetone-dichloromethane mixed solvent, and Flori silica was used as purifying agent. The residues of four organophosphorus pesticides in soybean, dimethoate, methyl parathion and parathion, were determined by gas chromatography with flame photometric detector. Simple operation, high recovery and minimum detection concentration are as follows: dropping fear 0.03 mg/kg; dimethoate 0.04 mg/kg; methyl parathion 0.04 mg/kg; parathion 0.05 mg/kg. bicyclo germare (8.4%), trans-nerolidol (19.5%) and 9-oxaaryl alcohol (7.7%). The results show that the method of combining HS-GC-MS with accurate weight measurement can achieve reliable identification and a wide range in the analysis of volatile components complex samples
{"title":"Determination of Organophosphorus Pesticides (or Herbicides) in Soybean by Gas Chromatography (or High Performance Liquid Chromatography)","authors":"Vempaty Velmugan","doi":"10.38007/ajas.2022.030403","DOIUrl":"https://doi.org/10.38007/ajas.2022.030403","url":null,"abstract":": improving the yield and quality of crops. However, the problem of pesticide residues is becoming more and more serious due to the extensive use of pesticides, potential teratogenicity and carcinogenicity pose a serious threat to consumers' health. In order to control the pollution of organophosphorus pesticide residues, besides strengthening the management of pesticide use, the key is to develop simple, fast and sensitive detection technology. Because soybean contains more oil and fat than cereals, it brings many difficulties to the analysis of pesticides. So far, there is no mature method in China. Based on the above background, the aim of this paper is to determine organophosphorus pesticides in soybean by gas chromatography. In this paper, the extractant and sample purifier of organic phosphorus in soybean were discussed, and the organophosphorus pesticides in soybean were extracted with acetone-dichloromethane mixed solvent, and Flori silica was used as purifying agent. The residues of four organophosphorus pesticides in soybean, dimethoate, methyl parathion and parathion, were determined by gas chromatography with flame photometric detector. Simple operation, high recovery and minimum detection concentration are as follows: dropping fear 0.03 mg/kg; dimethoate 0.04 mg/kg; methyl parathion 0.04 mg/kg; parathion 0.05 mg/kg. bicyclo germare (8.4%), trans-nerolidol (19.5%) and 9-oxaaryl alcohol (7.7%). The results show that the method of combining HS-GC-MS with accurate weight measurement can achieve reliable identification and a wide range in the analysis of volatile components complex samples","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124455228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-10DOI: 10.38007/ajas.2022.030404
Ming-dong Jiang
: The sustainable development of resources is one of the challenges facing the world. However, China's water resources are very scarce, and high-efficiency water-saving irrigation projects are an important means to achieve the sustainable development of water resources, which deserves our in-depth study. The purpose of this paper is to discuss the development of farmland water-saving irrigation through the study of the quantity and distribution of water resources, the characteristics and laws of drought, the current status of farmland irrigation and water-saving, and a comprehensive understanding of the water conservancy construction and water-saving irrigation farmland in the research field. Support development, and analyzed the problems and deficiencies in water-saving irrigation technology and water-saving irrigation construction. Comprehensive evaluation of the benefits of water-saving irrigation in farmland using the method of donating materials and expert consultation, the economic, social and ecological environmental benefits of the project were evaluated and analyzed, and the evaluation results were analyzed and summarized. Up to 4%, with a satisfaction rate of 29%, through the combination of theory and experimental data, we have come up with a strategy to improve the efficiency of water-saving irrigation in farmland. The research results show that efficient water-saving irrigation enhances the irrigation capacity and improves the basic environment for crop growth. Increased agricultural productivity, maximized and rationalized benefits.
{"title":"Water Conservation Irrigation and Water Conservancy Engineering of Farmland under the Background of Rural Revitalization","authors":"Ming-dong Jiang","doi":"10.38007/ajas.2022.030404","DOIUrl":"https://doi.org/10.38007/ajas.2022.030404","url":null,"abstract":": The sustainable development of resources is one of the challenges facing the world. However, China's water resources are very scarce, and high-efficiency water-saving irrigation projects are an important means to achieve the sustainable development of water resources, which deserves our in-depth study. The purpose of this paper is to discuss the development of farmland water-saving irrigation through the study of the quantity and distribution of water resources, the characteristics and laws of drought, the current status of farmland irrigation and water-saving, and a comprehensive understanding of the water conservancy construction and water-saving irrigation farmland in the research field. Support development, and analyzed the problems and deficiencies in water-saving irrigation technology and water-saving irrigation construction. Comprehensive evaluation of the benefits of water-saving irrigation in farmland using the method of donating materials and expert consultation, the economic, social and ecological environmental benefits of the project were evaluated and analyzed, and the evaluation results were analyzed and summarized. Up to 4%, with a satisfaction rate of 29%, through the combination of theory and experimental data, we have come up with a strategy to improve the efficiency of water-saving irrigation in farmland. The research results show that efficient water-saving irrigation enhances the irrigation capacity and improves the basic environment for crop growth. Increased agricultural productivity, maximized and rationalized benefits.","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117005927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-10DOI: 10.38007/ajas.2022.030401
S. Sride
: With the rapid development of agriculture, the output of crop straw has also increased year by year. The treatment and development and utilization of crop straw have become the focus of attention from all walks of life. In order to improve the utilization rate of crop stalks, save energy and protect the environment, this article conducted an in-depth study on the two-phase high-temperature anaerobic digestion test of crop stalks. First, the response surface method is used to control the organic loading ratio and the inoculation ratio respectively, and analyze the daily methane production and daily cumulative production. The test results showed that the A5 group on the 5th day (the organic loading ratio was 20gVS/L) had the highest single-day and cumulative methane production, which were 6.15mL/gVS and 19.57mL/gVS, respectively. When the inoculation ratio was 0.4 on the 25th day, the B1 group had the highest methane production, which was 2.88 mL/gVS. Then, the rice straw was treated by ammoniating treatment and multi-strain cooperative treatment to analyze the differences in pH value, ammonia nitrogen content and lignocellulose degradation rate. The test data showed that the pH values of the two groups were between 7 and 8. The ammonia nitrogen content of the ammoniated treatment reached 4485.1mg/L, and the degradation rates of lignocellulose on the 35th day of the ammoniated treatment and the multi-strain co-treatment were 24.14% and 35.33%, respectively. This shows that the effect of multi-strains synergistic treatment is better than ammoniated treatment, with lower ammonia nitrogen content and higher lignocellulose degradation rate. Finally, under the same experimental conditions, two-phase high-temperature anaerobic digestion experiments were carried out using rice straw and corn straw, respectively, to analyze the differences in pH, ammonia nitrogen content and lignocellulose degradation rate. The pH values of the rice straw and corn straw reactors were 7.56 and 8.21, the ammonia nitrogen content was 984.2 and 1128.6 mg/L, respectively, and the lignocellulose degradation rate was 34.54% and 25.38%, respectively. This shows that under the same reaction conditions, rice straw is better than corn straw, has lower ammonia nitrogen content and higher lignocellulose degradation rate, and its gas production and utilization are higher.
{"title":"Two-Phase High-Temperature Anaerobic Digestion Experiment of Crop Straw","authors":"S. Sride","doi":"10.38007/ajas.2022.030401","DOIUrl":"https://doi.org/10.38007/ajas.2022.030401","url":null,"abstract":": With the rapid development of agriculture, the output of crop straw has also increased year by year. The treatment and development and utilization of crop straw have become the focus of attention from all walks of life. In order to improve the utilization rate of crop stalks, save energy and protect the environment, this article conducted an in-depth study on the two-phase high-temperature anaerobic digestion test of crop stalks. First, the response surface method is used to control the organic loading ratio and the inoculation ratio respectively, and analyze the daily methane production and daily cumulative production. The test results showed that the A5 group on the 5th day (the organic loading ratio was 20gVS/L) had the highest single-day and cumulative methane production, which were 6.15mL/gVS and 19.57mL/gVS, respectively. When the inoculation ratio was 0.4 on the 25th day, the B1 group had the highest methane production, which was 2.88 mL/gVS. Then, the rice straw was treated by ammoniating treatment and multi-strain cooperative treatment to analyze the differences in pH value, ammonia nitrogen content and lignocellulose degradation rate. The test data showed that the pH values of the two groups were between 7 and 8. The ammonia nitrogen content of the ammoniated treatment reached 4485.1mg/L, and the degradation rates of lignocellulose on the 35th day of the ammoniated treatment and the multi-strain co-treatment were 24.14% and 35.33%, respectively. This shows that the effect of multi-strains synergistic treatment is better than ammoniated treatment, with lower ammonia nitrogen content and higher lignocellulose degradation rate. Finally, under the same experimental conditions, two-phase high-temperature anaerobic digestion experiments were carried out using rice straw and corn straw, respectively, to analyze the differences in pH, ammonia nitrogen content and lignocellulose degradation rate. The pH values of the rice straw and corn straw reactors were 7.56 and 8.21, the ammonia nitrogen content was 984.2 and 1128.6 mg/L, respectively, and the lignocellulose degradation rate was 34.54% and 25.38%, respectively. This shows that under the same reaction conditions, rice straw is better than corn straw, has lower ammonia nitrogen content and higher lignocellulose degradation rate, and its gas production and utilization are higher.","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127677566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-10DOI: 10.38007/ajas.2022.030402
Logeshi Sainie
: The time series images obtained by remote sensing can reflect the spectral characteristics of farmland soils and crops affected by the environment, thus providing the variation information of crop growth. In crop growing season, the dynamic changes of crop growth can be determined by different time series images. Therefore, remote sensing technology has the advantages of fast, accurate and strong current situation, it has increasingly become an important means of monitoring the dynamic changes of crop growth in a large area. Monitoring crop growth by remote sensing is of great significance for dynamic perception of food security. The purpose of this paper is to analyze the monitoring data of soybean growth under ecosystem by remote sensing technology. On the soybean scale, based on the difference of reflectance caused by the change of water structure, a method for screening and monitoring the sensitive characteristics of soybean growth was proposed. By measuring the spectral data of soybean growth potential samples, based on the characteristics of surface albedo, vegetation index and detail, and combined with correlation analysis and SVM and GASVM, the growth monitoring model on soybean scale was established. The characteristics of sensitivity to soybean growth and significant difference were screened out, it includes three characteristic bands of 340-380, 480-580 and 750-1000 nm, and three vegetation indices of MSR, NDVI and SIPI, WF01 and WF02 are two wavelet features. The experimental results show that in all models, the monitoring model established by MSR and GASVM has the highest monitoring accuracy, which is 75%.
{"title":"Remote Sensing Monitoring Data of Soybean Growth in Ecosystem","authors":"Logeshi Sainie","doi":"10.38007/ajas.2022.030402","DOIUrl":"https://doi.org/10.38007/ajas.2022.030402","url":null,"abstract":": The time series images obtained by remote sensing can reflect the spectral characteristics of farmland soils and crops affected by the environment, thus providing the variation information of crop growth. In crop growing season, the dynamic changes of crop growth can be determined by different time series images. Therefore, remote sensing technology has the advantages of fast, accurate and strong current situation, it has increasingly become an important means of monitoring the dynamic changes of crop growth in a large area. Monitoring crop growth by remote sensing is of great significance for dynamic perception of food security. The purpose of this paper is to analyze the monitoring data of soybean growth under ecosystem by remote sensing technology. On the soybean scale, based on the difference of reflectance caused by the change of water structure, a method for screening and monitoring the sensitive characteristics of soybean growth was proposed. By measuring the spectral data of soybean growth potential samples, based on the characteristics of surface albedo, vegetation index and detail, and combined with correlation analysis and SVM and GASVM, the growth monitoring model on soybean scale was established. The characteristics of sensitivity to soybean growth and significant difference were screened out, it includes three characteristic bands of 340-380, 480-580 and 750-1000 nm, and three vegetation indices of MSR, NDVI and SIPI, WF01 and WF02 are two wavelet features. The experimental results show that in all models, the monitoring model established by MSR and GASVM has the highest monitoring accuracy, which is 75%.","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129346694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-25DOI: 10.38007/ajas.2022.030305
Adityan Kumare
: Corn is one of the main agricultural crops in China, but the agricultural technology conversion rate of corn cultivation is not high. The growth cycle of corn is longer and the process is more complicated. In addition to being affected by internal physiological mechanisms, the growth of maize has a great influence on its growth environment, especially the light environment. During the growth process, the interaction between corn and light environment is constantly underway. Corn planting time is also an important factor affecting corn yield. The difference in sowing date directly affects the growth and development stages of corn. The purpose of this paper is to study the growth pattern of corn based on a statistical model of yield. In terms of methods, it is proposed to use the inverse ray tracing algorithm to calculate the light energy reflected and absorbed by the corn, and establish a model to analyze the sensitivity of the area, mainly in terms of leaf area index, temperature, and moisture to analyze corn yield. Establish a corn growth model, and construct it from four aspects: yield, photosynthesis, temperature, and moisture. Finally, comprehensive supplements were made, and planting conditions continued to be optimized at planting density. In terms of experiments, the meteorological data and soil parameters of the plantation site were investigated. Finally, the experiment was divided into four groups, one was for home planting; the other was for planting at different intervals, the other was normal; the three were for drip irrigation, and the other was normal Four groups were planted using the improved strategies proposed in this paper. It is concluded that under drip irrigation conditions, the grain filling rate can be significantly increased, which will lead to an increase in 100-grain weight during maturity. With the increase of the population density, the competition among individuals within the group for light, temperature, water, and fertilizer is intensified. For better individual development, the individual plant height and ear height have been continuously increased in order to obtain more light energy
{"title":"Corn Growth Model Based on Yield Statistical Model","authors":"Adityan Kumare","doi":"10.38007/ajas.2022.030305","DOIUrl":"https://doi.org/10.38007/ajas.2022.030305","url":null,"abstract":": Corn is one of the main agricultural crops in China, but the agricultural technology conversion rate of corn cultivation is not high. The growth cycle of corn is longer and the process is more complicated. In addition to being affected by internal physiological mechanisms, the growth of maize has a great influence on its growth environment, especially the light environment. During the growth process, the interaction between corn and light environment is constantly underway. Corn planting time is also an important factor affecting corn yield. The difference in sowing date directly affects the growth and development stages of corn. The purpose of this paper is to study the growth pattern of corn based on a statistical model of yield. In terms of methods, it is proposed to use the inverse ray tracing algorithm to calculate the light energy reflected and absorbed by the corn, and establish a model to analyze the sensitivity of the area, mainly in terms of leaf area index, temperature, and moisture to analyze corn yield. Establish a corn growth model, and construct it from four aspects: yield, photosynthesis, temperature, and moisture. Finally, comprehensive supplements were made, and planting conditions continued to be optimized at planting density. In terms of experiments, the meteorological data and soil parameters of the plantation site were investigated. Finally, the experiment was divided into four groups, one was for home planting; the other was for planting at different intervals, the other was normal; the three were for drip irrigation, and the other was normal Four groups were planted using the improved strategies proposed in this paper. It is concluded that under drip irrigation conditions, the grain filling rate can be significantly increased, which will lead to an increase in 100-grain weight during maturity. With the increase of the population density, the competition among individuals within the group for light, temperature, water, and fertilizer is intensified. For better individual development, the individual plant height and ear height have been continuously increased in order to obtain more light energy","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131144929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-25DOI: 10.38007/ajas.2022.030301
Kewei Lei, Wenyu Huang, Wenxin Zhao
: Due to the severe situation of poverty alleviation, in some places people still do not know much about poverty alleviation in rural industries. However, the application of blockchain technology in the field of precision poverty alleviation and rural poverty alleviation is still relatively small. This article aims to study how to achieve targeted poverty alleviation and how to apply blockchain to rural areas, this experiment uses four different models of survey data, respectively, to investigate the application of blockchain scenarios for different villages, different ages, different populations, and the control group. The experimental data shows that different villages implement the blockchain for poverty alleviation. There has been a noticeable increase in efforts; different blockchain applications have been implemented at the age of 15-25, 26-35, 36-45, and 46-55 to reduce poverty, and financial services and supply chains in the range of 26-45 The effect of targeted poverty alleviation by management is most obvious; the happiness survey found that after the implementation of blockchain-based precision poverty alleviation in rural areas, farmers said they were happier than before. Experimental data shows that the development and application of blockchain in scene applications plays an important role in targeted rural poverty alleviation.
{"title":"Blockchain in Precision Poverty Alleviation and Poverty Alleviation in Agriculture","authors":"Kewei Lei, Wenyu Huang, Wenxin Zhao","doi":"10.38007/ajas.2022.030301","DOIUrl":"https://doi.org/10.38007/ajas.2022.030301","url":null,"abstract":": Due to the severe situation of poverty alleviation, in some places people still do not know much about poverty alleviation in rural industries. However, the application of blockchain technology in the field of precision poverty alleviation and rural poverty alleviation is still relatively small. This article aims to study how to achieve targeted poverty alleviation and how to apply blockchain to rural areas, this experiment uses four different models of survey data, respectively, to investigate the application of blockchain scenarios for different villages, different ages, different populations, and the control group. The experimental data shows that different villages implement the blockchain for poverty alleviation. There has been a noticeable increase in efforts; different blockchain applications have been implemented at the age of 15-25, 26-35, 36-45, and 46-55 to reduce poverty, and financial services and supply chains in the range of 26-45 The effect of targeted poverty alleviation by management is most obvious; the happiness survey found that after the implementation of blockchain-based precision poverty alleviation in rural areas, farmers said they were happier than before. Experimental data shows that the development and application of blockchain in scene applications plays an important role in targeted rural poverty alleviation.","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115795985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-25DOI: 10.38007/ajas.2022.030302
Yantao Wang
: Agriculture as a primary industry has an important relationship with the development of the people's livelihood. Agricultural products are the primary products of agriculture and are essential in people's daily life. Fresh agricultural products are most closely related to people daily lives and play an important role in the entire agricultural industry structure. The agricultural development of Heilongjiang Province has great influence in the country and is an important production base for fresh agricultural products. With the development of domestic supply-side reforms, the circulation efficiency of fresh agricultural products has changed. This paper evaluates the operational efficiency of the agricultural product circulation system in Heilongjiang Province by constructing a model. The results show that the two indicators that mainly affect the circulation efficiency of agricultural products in Heilongjiang Province are speed efficiency and economic efficiency. Based on the analysis of the development trend of circulation efficiency of fresh agricultural products in Heilongjiang Province and the relevant research results and experience of developed countries, this paper puts forward some suggestions for the development of circulation mode of fresh agricultural products in Heilongjiang Province. It is of great practical significance to study the circulation mode of fresh agricultural products in Heilongjiang Province.
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Pub Date : 2022-09-25DOI: 10.38007/ajas.2022.030304
Pushpita Ijaz
: As China enters the World Trade Organization, opportunities and challenges also emerge, especially in agriculture. In this context, whether China can benefit from participating in the multilateral trading system depends on whether China's economy as a whole and various region can give full play to its comparative advantages. Therefore, it is very necessary to actively carry out research on the role of crop regional structure adjustment on agricultural and forestry economic management. The purpose of this article is to explore the effect of regional crop structure adjustment on the economic management of agriculture and forestry. Through the research on the regional structure adjustment of four crops of early indicia rice, corn, wheat, and soybean, to understand that there are certain differences in the production of different crops in different regions of China. Comparative Advantage. The results show that the area planted between the main early indicia rice-producing areas in 2015 was relatively dispersed, with the highest share of 17% in the west of Haiyan District and the lowest share of Haiyan in the south of 8%, a difference of about double; and 2019 early indicia rice The areas with the highest and lowest share of sown area in the main producing areas were 24% and 6% respectively, a difference of nearly three times.
{"title":"Effect of Regional Crop Structure Adjustment on Agricultural and Forestry Economic Management","authors":"Pushpita Ijaz","doi":"10.38007/ajas.2022.030304","DOIUrl":"https://doi.org/10.38007/ajas.2022.030304","url":null,"abstract":": As China enters the World Trade Organization, opportunities and challenges also emerge, especially in agriculture. In this context, whether China can benefit from participating in the multilateral trading system depends on whether China's economy as a whole and various region can give full play to its comparative advantages. Therefore, it is very necessary to actively carry out research on the role of crop regional structure adjustment on agricultural and forestry economic management. The purpose of this article is to explore the effect of regional crop structure adjustment on the economic management of agriculture and forestry. Through the research on the regional structure adjustment of four crops of early indicia rice, corn, wheat, and soybean, to understand that there are certain differences in the production of different crops in different regions of China. Comparative Advantage. The results show that the area planted between the main early indicia rice-producing areas in 2015 was relatively dispersed, with the highest share of 17% in the west of Haiyan District and the lowest share of Haiyan in the south of 8%, a difference of about double; and 2019 early indicia rice The areas with the highest and lowest share of sown area in the main producing areas were 24% and 6% respectively, a difference of nearly three times.","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131567099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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