Pub Date : 2023-08-31DOI: 10.3390/agriculture13091727
J. Fields, J. Owen, A. Lamm, J. Altland, B. Jackson, L. Oki, J. Samtani, Youbin Zheng, K. S. Criscione
Many specialty crop growers are transitioning high-value crops from in-ground production to soilless culture due to the diminishing availability of fumigants, increasing pest pressure, extreme weather, and the need for flexible production practices. The objective of this study was to determine the research and educational needs of specialty crop growers who are transitioning to soilless substrates. North American growers were surveyed using an online instrument that incorporated Likert-type statement matrices, open-ended questions, and demographic questions. Additionally, two virtually led focus groups were conducted to further expand upon the quantitative findings with descriptive data. Respondents indicated the most important factors in considering whether to adopt soilless substrates were improving, managing, and reducing overall plant quality, disease management, and crop loss, respectively. The most important research needs were understanding the effects of substrates on crop quality and uniformity, fertilizer management, and economic costs and benefits/return on investment. In both the grower survey and focus groups, crop quality and uniformity were among the highest-scored responses. Food safety, disease and pest management, consumer perception, substrate disposal-related issues, transportation, and return-on-investment were also identified as important factors when considering soilless substrates.
{"title":"Surveying North American Specialty Crop Growers’ Current Use of Soilless Substrates and Future Research and Education Needs","authors":"J. Fields, J. Owen, A. Lamm, J. Altland, B. Jackson, L. Oki, J. Samtani, Youbin Zheng, K. S. Criscione","doi":"10.3390/agriculture13091727","DOIUrl":"https://doi.org/10.3390/agriculture13091727","url":null,"abstract":"Many specialty crop growers are transitioning high-value crops from in-ground production to soilless culture due to the diminishing availability of fumigants, increasing pest pressure, extreme weather, and the need for flexible production practices. The objective of this study was to determine the research and educational needs of specialty crop growers who are transitioning to soilless substrates. North American growers were surveyed using an online instrument that incorporated Likert-type statement matrices, open-ended questions, and demographic questions. Additionally, two virtually led focus groups were conducted to further expand upon the quantitative findings with descriptive data. Respondents indicated the most important factors in considering whether to adopt soilless substrates were improving, managing, and reducing overall plant quality, disease management, and crop loss, respectively. The most important research needs were understanding the effects of substrates on crop quality and uniformity, fertilizer management, and economic costs and benefits/return on investment. In both the grower survey and focus groups, crop quality and uniformity were among the highest-scored responses. Food safety, disease and pest management, consumer perception, substrate disposal-related issues, transportation, and return-on-investment were also identified as important factors when considering soilless substrates.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"26 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78123999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study proposes an improved link prediction model for predicting the “suitable for people” relationship within the knowledge graph of tea. The relationships between various types of tea and suitable target groups have yet to be fully explored, and the existing InteractE model still does not adequately capture a portion of the complex information around the interactions between entities and relationships. In this study, we integrate SENet into the feature layer of the InteractE model to enhance the capturing of helpful information in the feature channels. Additionally, the GCN layer is employed as the encoder, and the SENet-integrated InteractE model is used as the decoder to further capture the neighbour node information in the knowledge graph. Furthermore, our proposed improved model demonstrates significant improvements compared to several standard models, including the original model from public datasets (WN18RR, Kinship). Finally, we construct a tea dataset comprising 6698 records, including 330 types of tea and 29 relationship types. We predict the “suitable for people” relationship in the tea dataset through transfer learning. When comparing our model with the original model, we observed an improvement of 1.4% in H@10 for the WN18RR dataset, a 7.6% improvement in H@1 for the Kinship dataset, and a 5.2% improvement in MRR. Regarding the tea dataset, we achieved a 4.1% increase in H@3 and a 2.5% increase in H@10. This study will help to fully exploit the value potential of tea varieties and provide a reference for studies assessing healthy tea drinking.
{"title":"Prediction of Tea Varieties’ “Suitable for People” Relationship: Based on the InteractE-SE+GCN Model","authors":"Qiang Huang, Zongyuan Wu, Mantao Wang, Youzhi Tao, Yinghao He, F. Marinello","doi":"10.3390/agriculture13091732","DOIUrl":"https://doi.org/10.3390/agriculture13091732","url":null,"abstract":"This study proposes an improved link prediction model for predicting the “suitable for people” relationship within the knowledge graph of tea. The relationships between various types of tea and suitable target groups have yet to be fully explored, and the existing InteractE model still does not adequately capture a portion of the complex information around the interactions between entities and relationships. In this study, we integrate SENet into the feature layer of the InteractE model to enhance the capturing of helpful information in the feature channels. Additionally, the GCN layer is employed as the encoder, and the SENet-integrated InteractE model is used as the decoder to further capture the neighbour node information in the knowledge graph. Furthermore, our proposed improved model demonstrates significant improvements compared to several standard models, including the original model from public datasets (WN18RR, Kinship). Finally, we construct a tea dataset comprising 6698 records, including 330 types of tea and 29 relationship types. We predict the “suitable for people” relationship in the tea dataset through transfer learning. When comparing our model with the original model, we observed an improvement of 1.4% in H@10 for the WN18RR dataset, a 7.6% improvement in H@1 for the Kinship dataset, and a 5.2% improvement in MRR. Regarding the tea dataset, we achieved a 4.1% increase in H@3 and a 2.5% increase in H@10. This study will help to fully exploit the value potential of tea varieties and provide a reference for studies assessing healthy tea drinking.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"6 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87440963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Automatic weight detection is an essential step in the factory production of Pleurotus eryngii. In this study, a data set containing 1154 Pleurotus eryngii images was created, and then machine vision technology was used to extract eight two-dimensional features from the images. Because the fruiting bodies of Pleurotus eryngii have different shapes, these features were less correlated with weight. This paper proposed a multidimensional feature derivation method and an Attention-Based CNN model to solve this problem. This study aimed to realize the traditional feature screening task by deep learning algorithms and built an estimation model. Compared with different regression algorithms, the R2, RMSE, MAE, and MAPE of the Attention-Based CNN were 0.971, 7.77, 5.69, and 5.87%, respectively, and showed the best performance. Therefore, it can be used as an accurate, objective, and effective method for automatic weight measurements of Pleurotus eryngii.
{"title":"Method of Attention-Based CNN for Weighing Pleurotus eryngii","authors":"Junmin Jia, Fei Hu, Xubo Zhang, Zongyou Ben, Yifan Wang, Kunjie Chen","doi":"10.3390/agriculture13091728","DOIUrl":"https://doi.org/10.3390/agriculture13091728","url":null,"abstract":"Automatic weight detection is an essential step in the factory production of Pleurotus eryngii. In this study, a data set containing 1154 Pleurotus eryngii images was created, and then machine vision technology was used to extract eight two-dimensional features from the images. Because the fruiting bodies of Pleurotus eryngii have different shapes, these features were less correlated with weight. This paper proposed a multidimensional feature derivation method and an Attention-Based CNN model to solve this problem. This study aimed to realize the traditional feature screening task by deep learning algorithms and built an estimation model. Compared with different regression algorithms, the R2, RMSE, MAE, and MAPE of the Attention-Based CNN were 0.971, 7.77, 5.69, and 5.87%, respectively, and showed the best performance. Therefore, it can be used as an accurate, objective, and effective method for automatic weight measurements of Pleurotus eryngii.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"114 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78969060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.3390/agriculture13091729
Pamellah A. Asule, C. Musafiri, G. Nyabuga, W. Kiai, F. Ngetich, Christoph Spurk
Soil fertility decline is a significant drawback to food and nutritional security in sub-Saharan Africa. However, information and knowledge barriers seriously impede the adoption, effective use, and scaling up of soil fertility management innovations, especially by smallholder farmers who produce the bulk of the region’s food needs. Apart from the knowledge that smallholder farmers seek soil fertility information from diverse sources, which they apply simultaneously, there is limited knowledge of farmers’ information-seeking behaviour regarding which sources are used simultaneously and the factors influencing these choices. We employed a cross-sectional survey study design to determine the simultaneous use of soil fertility information sources of 400 smallholder farming households in the Central Highlands of Kenya. We analysed the data using descriptive statistics, principal component analysis (PCA), and a multivariate probit model. The PCA distinguished seven categories of information sources farmers use: local interpersonal, cosmopolite interpersonal, aggregative, print/demonstration, broadcast media, community-based, and progressive learning sources. The intensity of use revealed that most of the smallholders used soil fertility information sources simultaneously and primarily as complements. The determinants of simultaneous use of soil fertility information sources were farmer location, marital status, main occupation, age, farming experience, exposure to agricultural training, group membership, arable land and livestock units owned, soil fertility status, soil fertility change, and soil testing. This study’s findings have implications for information dissemination strategies involving using multiple complementary sources of knowledge for improved soil health and productivity.
{"title":"Determinants of Simultaneous Use of Soil Fertility Information Sources among Smallholder Farmers in the Central Highlands of Kenya","authors":"Pamellah A. Asule, C. Musafiri, G. Nyabuga, W. Kiai, F. Ngetich, Christoph Spurk","doi":"10.3390/agriculture13091729","DOIUrl":"https://doi.org/10.3390/agriculture13091729","url":null,"abstract":"Soil fertility decline is a significant drawback to food and nutritional security in sub-Saharan Africa. However, information and knowledge barriers seriously impede the adoption, effective use, and scaling up of soil fertility management innovations, especially by smallholder farmers who produce the bulk of the region’s food needs. Apart from the knowledge that smallholder farmers seek soil fertility information from diverse sources, which they apply simultaneously, there is limited knowledge of farmers’ information-seeking behaviour regarding which sources are used simultaneously and the factors influencing these choices. We employed a cross-sectional survey study design to determine the simultaneous use of soil fertility information sources of 400 smallholder farming households in the Central Highlands of Kenya. We analysed the data using descriptive statistics, principal component analysis (PCA), and a multivariate probit model. The PCA distinguished seven categories of information sources farmers use: local interpersonal, cosmopolite interpersonal, aggregative, print/demonstration, broadcast media, community-based, and progressive learning sources. The intensity of use revealed that most of the smallholders used soil fertility information sources simultaneously and primarily as complements. The determinants of simultaneous use of soil fertility information sources were farmer location, marital status, main occupation, age, farming experience, exposure to agricultural training, group membership, arable land and livestock units owned, soil fertility status, soil fertility change, and soil testing. This study’s findings have implications for information dissemination strategies involving using multiple complementary sources of knowledge for improved soil health and productivity.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"27 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87926902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.3390/agriculture13091724
Yunshandan Wu, Wenfu Wu, Kai Chen, Ji Zhang, Zhe Liu, Yaqiu Zhang
Food security is intrinsically linked to maintaining optimal physical health and promoting active lifestyles. Stored Grain Ecosystems (SGEs) are complex systems comprising a range of grains, microorganisms, and environmental elements. To ensure sustainable grain storage and promote food-friendly SGEs, careful regulation and monitoring of these factors are vital. This review traces the evolution of the Eco-concept of stored grain in China, focusing on micro- and macro-structural composition, the Multi-field/Re-coupling structure, and Smart Construction of SGEs, while introducing the four development lines and Wisdom Methodology of SGEs. The current status and challenges of SGEs in China are also discussed. The Eco-concept of stored grain in China has progressed through the initial exploration period, formation and practice periods, and has now entered its fourth stage, marked by a shift to include interactions of multiple biological fields. This evolution extends beyond the traditional binary relationship and offers emerging technologies greater scope for scientific and intelligent theoretical analysis of grain storage practices. The Wisdom Methodology employs a multifaceted, Mechanism and Data-driven approach, incorporating four driving methods, and is now widely recognized as a leading strategy for researching Smart Grain Systems. Digital Twin technology enables precise simulations and mappings of real-world SGEs in a virtual environment, supporting accurate assessments and early warnings for issues concerning grain conditions. Driven by Mechanism and Data, Digital Twin solutions are a pioneering trend and emerging hotspot with vast potential for enhancing the intelligence and wisdom of future grain storage processes. Overall, this review provides valuable guidance to practitioners for advancing high-quality Smart Grain Systems, enhancing sustainable and intelligent grain storage practices.
{"title":"Progress and Prospective in the Development of Stored Grain Ecosystems in China: From Composition, Structure, and Smart Construction to Wisdom Methodology","authors":"Yunshandan Wu, Wenfu Wu, Kai Chen, Ji Zhang, Zhe Liu, Yaqiu Zhang","doi":"10.3390/agriculture13091724","DOIUrl":"https://doi.org/10.3390/agriculture13091724","url":null,"abstract":"Food security is intrinsically linked to maintaining optimal physical health and promoting active lifestyles. Stored Grain Ecosystems (SGEs) are complex systems comprising a range of grains, microorganisms, and environmental elements. To ensure sustainable grain storage and promote food-friendly SGEs, careful regulation and monitoring of these factors are vital. This review traces the evolution of the Eco-concept of stored grain in China, focusing on micro- and macro-structural composition, the Multi-field/Re-coupling structure, and Smart Construction of SGEs, while introducing the four development lines and Wisdom Methodology of SGEs. The current status and challenges of SGEs in China are also discussed. The Eco-concept of stored grain in China has progressed through the initial exploration period, formation and practice periods, and has now entered its fourth stage, marked by a shift to include interactions of multiple biological fields. This evolution extends beyond the traditional binary relationship and offers emerging technologies greater scope for scientific and intelligent theoretical analysis of grain storage practices. The Wisdom Methodology employs a multifaceted, Mechanism and Data-driven approach, incorporating four driving methods, and is now widely recognized as a leading strategy for researching Smart Grain Systems. Digital Twin technology enables precise simulations and mappings of real-world SGEs in a virtual environment, supporting accurate assessments and early warnings for issues concerning grain conditions. Driven by Mechanism and Data, Digital Twin solutions are a pioneering trend and emerging hotspot with vast potential for enhancing the intelligence and wisdom of future grain storage processes. Overall, this review provides valuable guidance to practitioners for advancing high-quality Smart Grain Systems, enhancing sustainable and intelligent grain storage practices.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"150 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75851398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.3390/agriculture13091730
Yuyu Wu, Jia Chen
Leisure agriculture is a crucial carrier for city agriculture and tourism growth. This study aims to explore the overall leisure agriculture and different types of leisure agriculture spatial sub-characteristics and their influencing factors. Taking the city of Xi’an, China, as an example, leisure agriculture was classified into four types: agritainments, agricultural parks, resorts, and rural homestays. According to this study, two ring zones and one core belt zone for leisure agriculture in Xi’an are dispersed unevenly and aggregated. Furthermore, geographic detectors and spatial principal components were employed as empirical techniques to investigate the primary factors influencing the spatial distribution of multiple leisure agriculture heterogeneity. The results about the influence mechanism indicate that the gross domestic product, population density, and accessibility to transportation dominated the overall spatial distribution, while the distance to scenic spots and water areas had a significant impact on the spatial distribution of some types. This research contributes to the reconstruction of leisure agriculture and promotes the sustainable development of agriculture and recreation by merging leisure agriculture spatial resources.
{"title":"Spatial Distribution Heterogeneity and Influencing Factors of Different Leisure Agriculture Types in the City","authors":"Yuyu Wu, Jia Chen","doi":"10.3390/agriculture13091730","DOIUrl":"https://doi.org/10.3390/agriculture13091730","url":null,"abstract":"Leisure agriculture is a crucial carrier for city agriculture and tourism growth. This study aims to explore the overall leisure agriculture and different types of leisure agriculture spatial sub-characteristics and their influencing factors. Taking the city of Xi’an, China, as an example, leisure agriculture was classified into four types: agritainments, agricultural parks, resorts, and rural homestays. According to this study, two ring zones and one core belt zone for leisure agriculture in Xi’an are dispersed unevenly and aggregated. Furthermore, geographic detectors and spatial principal components were employed as empirical techniques to investigate the primary factors influencing the spatial distribution of multiple leisure agriculture heterogeneity. The results about the influence mechanism indicate that the gross domestic product, population density, and accessibility to transportation dominated the overall spatial distribution, while the distance to scenic spots and water areas had a significant impact on the spatial distribution of some types. This research contributes to the reconstruction of leisure agriculture and promotes the sustainable development of agriculture and recreation by merging leisure agriculture spatial resources.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"23 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80358725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Previous studies on sugarcane harvester extractors have mainly focused on improving harvest quality and reducing the impurity rate and loss rate, which often ignored the issue of high energy consumption. To reduce the energy consumption of the extractor while maintaining the original impurity rate and loss rate stable, firstly, a blade element analysis method with aerodynamic theory was put forward to analyze the stress of the extractor blade, and the energy consumption equation and influencing factors of extraction were obtained. Subsequently, the computational fluid dynamics model of the exhaust extractor was established. Computational fluid dynamics (CFD) and the SST k-ω model were used to analyze the mechanism of various influencing factors on the energy consumption and internal flow characteristics of the extractor. The changes in various parameters were analyzed and discussed with respect to the resulting variations in internal pressure, velocity, vortex structure, and lift–drag coefficient of the extractor. A test bench of the extractor was built, and orthogonal tests were carried out with energy consumption, impurity rate, and loss rate as test indicators. Considering the results of the simulation and bench test comprehensively, the combination of a rotational speed of 1450 RPM, a blade number of 3, an installation angle of 25°, and a blade chord length of 200 mm was optimal for the extractor. Finally, a comparative test was carried out between the optimized extractor and the original extractor. The results demonstrated that the energy consumption of the optimized extractor was reduced by 15.49%. The impurity rate decreased by 3.51%, and the loss rate decreased by 12.39% compared to the original extractor. The study can provide a theoretical and experimental basis for designing and optimizing extractor performance.
{"title":"Study on the Influence Mechanism of Energy Consumption of Sugarcane Harvester Extractor by Fluid Simulation and Experiment","authors":"Baocheng Zhou, Shaochun Ma, Weiqing Li, Wenzhi Li, Cong Peng","doi":"10.3390/agriculture13091726","DOIUrl":"https://doi.org/10.3390/agriculture13091726","url":null,"abstract":"Previous studies on sugarcane harvester extractors have mainly focused on improving harvest quality and reducing the impurity rate and loss rate, which often ignored the issue of high energy consumption. To reduce the energy consumption of the extractor while maintaining the original impurity rate and loss rate stable, firstly, a blade element analysis method with aerodynamic theory was put forward to analyze the stress of the extractor blade, and the energy consumption equation and influencing factors of extraction were obtained. Subsequently, the computational fluid dynamics model of the exhaust extractor was established. Computational fluid dynamics (CFD) and the SST k-ω model were used to analyze the mechanism of various influencing factors on the energy consumption and internal flow characteristics of the extractor. The changes in various parameters were analyzed and discussed with respect to the resulting variations in internal pressure, velocity, vortex structure, and lift–drag coefficient of the extractor. A test bench of the extractor was built, and orthogonal tests were carried out with energy consumption, impurity rate, and loss rate as test indicators. Considering the results of the simulation and bench test comprehensively, the combination of a rotational speed of 1450 RPM, a blade number of 3, an installation angle of 25°, and a blade chord length of 200 mm was optimal for the extractor. Finally, a comparative test was carried out between the optimized extractor and the original extractor. The results demonstrated that the energy consumption of the optimized extractor was reduced by 15.49%. The impurity rate decreased by 3.51%, and the loss rate decreased by 12.39% compared to the original extractor. The study can provide a theoretical and experimental basis for designing and optimizing extractor performance.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"18 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91121707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.3390/agriculture13091725
Mufid Alam, Xuan Tan, Hao Zhang, Guangming Lou, Hanyuan Yang, Yin Zhou, A. Hussain, Parashuram Bhantana, G. Jiang, Yuqing He
Nutritional grain quality is mainly influenced by the protein fraction content and grain protein content. Quantitative trait loci (QTL) mining for five traits, about 245 and 284 BC3F3 individual families of two introgression line (IL) populations were derived from Kongyu 131/Cypress (population-I) and Kongyu 131/Vary Tarva Osla (population-II), respectively. A genetic linkage map was developed using 127 simple sequence repeat (SSR) markers in population-I and 119 SSR markers in population-II. In total, 20 and 5 QTLs were detected in population-I and population-II, respectively. About twenty QTLs were mapped in population-I: five QTLs for albumin, seven QTLs for globulin, six QTLs for prolamin, one QTL for glutelin, and one QTL for grain protein content. In total, five QTLs were mapped in population-II: one QTL for albumin and four QTLs for grain protein content. Out of 25 QTLs, 19 QTLs exhibit co-localization with the previously reported QTLs. QTL-like qGPC7.3 was delineated for total protein content. This QTL was derived from population-I and was successfully validated in NILs (near-isogenic lines). The grain protein phenotype showed a significant variation between two NILs. This investigation serves as groundwork for additional cloning of nutritional quality-related genes in rice grains.
{"title":"QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (Oryza sativa L.) Using Two Introgression Line Populations","authors":"Mufid Alam, Xuan Tan, Hao Zhang, Guangming Lou, Hanyuan Yang, Yin Zhou, A. Hussain, Parashuram Bhantana, G. Jiang, Yuqing He","doi":"10.3390/agriculture13091725","DOIUrl":"https://doi.org/10.3390/agriculture13091725","url":null,"abstract":"Nutritional grain quality is mainly influenced by the protein fraction content and grain protein content. Quantitative trait loci (QTL) mining for five traits, about 245 and 284 BC3F3 individual families of two introgression line (IL) populations were derived from Kongyu 131/Cypress (population-I) and Kongyu 131/Vary Tarva Osla (population-II), respectively. A genetic linkage map was developed using 127 simple sequence repeat (SSR) markers in population-I and 119 SSR markers in population-II. In total, 20 and 5 QTLs were detected in population-I and population-II, respectively. About twenty QTLs were mapped in population-I: five QTLs for albumin, seven QTLs for globulin, six QTLs for prolamin, one QTL for glutelin, and one QTL for grain protein content. In total, five QTLs were mapped in population-II: one QTL for albumin and four QTLs for grain protein content. Out of 25 QTLs, 19 QTLs exhibit co-localization with the previously reported QTLs. QTL-like qGPC7.3 was delineated for total protein content. This QTL was derived from population-I and was successfully validated in NILs (near-isogenic lines). The grain protein phenotype showed a significant variation between two NILs. This investigation serves as groundwork for additional cloning of nutritional quality-related genes in rice grains.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"15 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75616199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.3390/agriculture13091711
Teodora Tica, Bojan Matkovski, Danilo Đokić, Žana Jurjević
Serbia is a significant producer of tobacco in Europe and the only country in Europe where tobacco production is growing. Due to privatization, some of the most important multinational companies are now producing tobacco products in Serbia. Bearing in mind the liberalization of the market and the harmful effect tobacco products have on health, this research tried to analyze the tobacco and tobacco products sector in Serbia. The study’s main goal was to analyze the characteristics of the tobacco and tobacco supply chain in Serbia and determine comparative advantages and levels of integration with the world market. The methodology used in this study included the index of concentration of tobacco manufacturers, followed by a panel regression analysis to determine factors that affected profitability in this industry. Also, foreign trade performances were analyzed using the indices of revealed comparative advantages and integration. The research was conducted for the period from 2013 to the last available year. The results indicate the growth of tobacco production despite the decline in the number of farms, the highly concentrated production of tobacco products, and the significant intensification of foreign trade despite modest comparative advantages.
{"title":"Characteristics of the Supply Chain of Tobacco and Tobacco Products: Evidence from Serbia","authors":"Teodora Tica, Bojan Matkovski, Danilo Đokić, Žana Jurjević","doi":"10.3390/agriculture13091711","DOIUrl":"https://doi.org/10.3390/agriculture13091711","url":null,"abstract":"Serbia is a significant producer of tobacco in Europe and the only country in Europe where tobacco production is growing. Due to privatization, some of the most important multinational companies are now producing tobacco products in Serbia. Bearing in mind the liberalization of the market and the harmful effect tobacco products have on health, this research tried to analyze the tobacco and tobacco products sector in Serbia. The study’s main goal was to analyze the characteristics of the tobacco and tobacco supply chain in Serbia and determine comparative advantages and levels of integration with the world market. The methodology used in this study included the index of concentration of tobacco manufacturers, followed by a panel regression analysis to determine factors that affected profitability in this industry. Also, foreign trade performances were analyzed using the indices of revealed comparative advantages and integration. The research was conducted for the period from 2013 to the last available year. The results indicate the growth of tobacco production despite the decline in the number of farms, the highly concentrated production of tobacco products, and the significant intensification of foreign trade despite modest comparative advantages.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"86 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89042675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The objective of this study is to determine the effects of the dietary replacement of soybean oil (SO) with rubber seed oil (RSO) on the growth performance, carcass trait, and lipid metabolism in Pekin ducks. A total of 160 1-day-old Pekin ducks were randomly allocated to four experimental treatments and fed diets with different ratios of SO to RSO as follows: 3:0 (control), 2:1, 1:2, and 0:3. Dietary RSO supplementation had no effect on their growth performance; however, it significantly decreased the yield of abdominal fat (p < 0.05). As the dietary RSO increased, the plasma TG, CHO, LDL-C, and HDL-C contents of ducks decreased (p < 0.05). Additionally, the contents of total fat, triglycerides, and cholesterol in the liver and breast reduced in the ducks fed RSO diets (p < 0.05). Liver n-3 PUFA levels linearly increased (p < 0.05), while the n-6/n-3 PUFA ratios reduced with increasing RSO levels (p < 0.05). Moreover, dietary RSO supplementation resulted in decreased gene expressions of FABP1, ME1, SREBP1c, FASN, DGAT2, and HMGCR (p < 0.05), while there was an increased expression of the ABCA1 gene (p < 0.05) in the liver of the ducks. In conclusion, dietary RSO supplementation reduced fat deposition and enhanced n-3 PUFA levels without affecting the growth performance of Pekin ducks.
{"title":"Effects of the Dietary Replacement of Soybean Oil with Rubber Seed Oil on the Growth Performance, Carcass Trait, and Status of Lipid Metabolism in Pekin Ducks","authors":"Zi-long Zhao, Yanhong Guo, Zhuang Lei, Yongbao Wu, Jing Liu, Junting Cao, Zhanyue Wu, Z. Wen","doi":"10.3390/agriculture13091717","DOIUrl":"https://doi.org/10.3390/agriculture13091717","url":null,"abstract":"The objective of this study is to determine the effects of the dietary replacement of soybean oil (SO) with rubber seed oil (RSO) on the growth performance, carcass trait, and lipid metabolism in Pekin ducks. A total of 160 1-day-old Pekin ducks were randomly allocated to four experimental treatments and fed diets with different ratios of SO to RSO as follows: 3:0 (control), 2:1, 1:2, and 0:3. Dietary RSO supplementation had no effect on their growth performance; however, it significantly decreased the yield of abdominal fat (p < 0.05). As the dietary RSO increased, the plasma TG, CHO, LDL-C, and HDL-C contents of ducks decreased (p < 0.05). Additionally, the contents of total fat, triglycerides, and cholesterol in the liver and breast reduced in the ducks fed RSO diets (p < 0.05). Liver n-3 PUFA levels linearly increased (p < 0.05), while the n-6/n-3 PUFA ratios reduced with increasing RSO levels (p < 0.05). Moreover, dietary RSO supplementation resulted in decreased gene expressions of FABP1, ME1, SREBP1c, FASN, DGAT2, and HMGCR (p < 0.05), while there was an increased expression of the ABCA1 gene (p < 0.05) in the liver of the ducks. In conclusion, dietary RSO supplementation reduced fat deposition and enhanced n-3 PUFA levels without affecting the growth performance of Pekin ducks.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"6 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75277445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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