Colletotrichum kahawae(Coffee Berry Disease)spreads through spores that can be carried by wind,rain,and insects affecting coffee plantations,and causes 80%yield losses and poor-quality coffee beans.The deadly disease ...Colletotrichum kahawae(Coffee Berry Disease)spreads through spores that can be carried by wind,rain,and insects affecting coffee plantations,and causes 80%yield losses and poor-quality coffee beans.The deadly disease is hard to control because wind,rain,and insects carry spores.Colombian researchers utilized a deep learning system to identify CBD in coffee cherries at three growth stages and classify photographs of infected and uninfected cherries with 93%accuracy using a random forest method.If the dataset is too small and noisy,the algorithm may not learn data patterns and generate accurate predictions.To overcome the existing challenge,early detection of Colletotrichum Kahawae disease in coffee cherries requires automated processes,prompt recognition,and accurate classifications.The proposed methodology selects CBD image datasets through four different stages for training and testing.XGBoost to train a model on datasets of coffee berries,with each image labeled as healthy or diseased.Once themodel is trained,SHAP algorithmto figure out which features were essential formaking predictions with the proposed model.Some of these characteristics were the cherry’s colour,whether it had spots or other damage,and how big the Lesions were.Virtual inception is important for classification to virtualize the relationship between the colour of the berry is correlated with the presence of disease.To evaluate themodel’s performance andmitigate excess fitting,a 10-fold cross-validation approach is employed.This involves partitioning the dataset into ten subsets,training the model on each subset,and evaluating its performance.In comparison to other contemporary methodologies,the model put forth achieved an accuracy of 98.56%.展开更多
Coffee Leaf Rust(CLR)is caused by Hemileia vastatrix in Coffea spp.It is one of the most dangerous phytopathogens for coffee plantations in terms of coffee productivity and coffee cup quality.In this review,we resume ...Coffee Leaf Rust(CLR)is caused by Hemileia vastatrix in Coffea spp.It is one of the most dangerous phytopathogens for coffee plantations in terms of coffee productivity and coffee cup quality.In this review,we resume the problem of CLR in Mexico and the pathogenesis of H.vastatrix.The review abord plant-pathogen interactions which lead a compatible or incompatible interactions and result in CLR disease or resistance,respectively.The review abord Coffea spp.defense response pathways involved in H.vastatrix pathogenicity.Additionally,current measures to control H.vastatrix proliferation and germination were aborded focused on phytosanitary actions,and biological and chemical control.Finally,new trendlines to reduce the impact of CLR as nanoparticles and nanotechnology were analyzed.展开更多
Coffee is a significant industry, accounting for 3% of Vietnam’s GDP, with annual export turnover consistently exceeding USD 3 billion. Despite global economic challenges affecting purchasing power at various times, ...Coffee is a significant industry, accounting for 3% of Vietnam’s GDP, with annual export turnover consistently exceeding USD 3 billion. Despite global economic challenges affecting purchasing power at various times, Vietnam’s coffee exports in December 2023 continued to surge, reaching the highest level in the past 9 months at 190,000 tons, a 59.3% increase compared to November 2023, but still a slight 3.5% decrease from the same period last year. The export turnover reached USD 538 million, a 51% increase from November 2023 and a 26.4% increase from the same period last year. Therefore, forecasting the coffee export volume holds significant importance for coffee producers nationwide. This research employs the Box-Jenkins method to construct an ARIMA model for forecasting Vietnam’s coffee export volume based on annual data published by the General Statistics Office. Results indicate that among the models considered, the ARIMA(1, 1, 2) model is the most suitable. The study also provides short-term forecasts for Vietnam’s coffee export volume. However, the current model is limited to forecasting and is not yet optimized, as the assumed linearity in the model is a simplification.展开更多
Phosphorus (P) plays a crucial role in plant growth by aiding in the development of strong roots, promoting flower and fruit formation, and aiding in photosynthesis. Studies to improve P fertilizers efficiency in coff...Phosphorus (P) plays a crucial role in plant growth by aiding in the development of strong roots, promoting flower and fruit formation, and aiding in photosynthesis. Studies to improve P fertilizers efficiency in coffee orchards are necessary due to the need for better efficiency and the lack of information on enhanced efficiency P fertilizers. This study aimed to investigate the effect of MAP coated with anionic polymers (Policote) on coffee orchard development. A coffee trial was carried out in a randomized block design with three replications. The treatments, applied at coffee planting, were arranged in an incomplete factorial (2 × 4) + 1, using two P sources (MAP and Policote coated MAP), four P rates (40, 80, 120, and 160 g P<sub>2</sub>O<sub>5</sub> plant<sup>-1</sup>) and control (without application of P fertilizer). Plant height was evaluated in the 2016/2017, 2017/2018, and 2018/2019 seasons, while coffee bean maturation, yield, and agronomic P efficiency use were evaluated in the last two seasons. P fertilization did not affect coffee bean maturation and increased coffee yield in 31-month-old plants when differences among P sources and rates were observed. Using Policote-coated P fertilizer resulted in higher yields at the same P rate, as well as similar yields at a lower P rate, compared to conventional fertilizer. Policote-coated P fertilizer can be used as an enhanced efficiency fertilizer and is an efficient way to deliver required P to plants. The target for reducing farm investment, increasing agricultural profits, preserving phosphatic rock reserves, and avoiding the overuse of phosphate fertilizer could be realized through the rational use of enhanced efficiency fertilizers.展开更多
Food losses in the developing country are thought to be 50% of the fruits and vegetables grown and 25% of harvested food grain. Food preservation can reduce wastage of a harvest surplus, allow storage for food shortag...Food losses in the developing country are thought to be 50% of the fruits and vegetables grown and 25% of harvested food grain. Food preservation can reduce wastage of a harvest surplus, allow storage for food shortages, and in some cases facilitate export to high-value markets. Drying is one of the oldest methods of food preservation. Drying makes produce lighter, smaller, and less likely to spoil and helps to minimize the moisture content in coffee beans as high moisture content during storage is certain to ruin the taste and appearance of coffee. This work presents the results of an experimental study of forced convection drying of coffee cherries in a modified Icaro solar dryer. The study aims to validate the numerical models developed for further research. The experimental tests envisaged also aim to determine the mass loss curves of the product by fixing or calculating its initial mass (1 kg), its initial water content (70%), the ambient temperature, the drying airflow (0.02 m<sup>3.</sup>s<sup>-1</sup> to 0.09 m<sup>3.</sup>s<sup>-1</sup>) and the exchange coefficients. The influence of these aerothermal parameters on the drying time of a most commercialized coffee variety (Robusta) was studied. Finally, the results revealed an increase in the efficiency of the heat transfer air and a reduction in the water content of the coffee cherry from 70% to 9.87%, after 30.2 hours.展开更多
Agroforestry systems (AFSs) offer viable solutions to climate change because of the below-ground biomass (BGB) that is maintained by the soil. Therefore, spatially explicit estimation of their BGB is crucial to accoun...Agroforestry systems (AFSs) offer viable solutions to climate change because of the below-ground biomass (BGB) that is maintained by the soil. Therefore, spatially explicit estimation of their BGB is crucial to account for emission reduction efforts. A study to assess soil organic carbon (SOC) and nitrogen dynamics in Arabica coffee agroforests was conducted in two subdivisions (Foumbot and Kouoptamo) of the Noun Division in western Cameroon. The methodological approach involved the collection of 150 soil samples taken at different depths: 0 - 10, 10 - 20 and 20 - 30 cm. Depending on the depth, the SOC stock is 27.93 ± 1.13 tC/ha at 10 cm depth, 22.37 ± 1.47 tC/ha at 20 cm and 20.79 ± 0.31 tC/ha at 30 cm. According to the age classes of the Arabica coffee systems (ACA), the C/N ratio in our study area averaged 26.94 ± 13.60 for the (5 - 20) year old systems in Foumbot and 60.64 ± 48.80 for the (20 - 35) year old systems in Kouoptamo. Depending on the depth, at 10 cm this ratio is higher in Kouoptamo than in Foumbot with a maximum value of 57 and 38 respectively for the two subdivisions. In view of the results obtained, it would be important to analyse the types of microorganisms responsible for the decomposition of organic matter which is linked to soil organic carbon.展开更多
Cercospora leaf spot is fast turning into a critically important disease in Zimbabwe.The disease is caused by Cercospora coffeicola which significantly reduces productivity and quality of coffee.Disturbingly,optimum s...Cercospora leaf spot is fast turning into a critically important disease in Zimbabwe.The disease is caused by Cercospora coffeicola which significantly reduces productivity and quality of coffee.Disturbingly,optimum sporulation of Cercospora coffeicola in culture remains a limiting factor for microbial analysis and quantitative studies of Cercospora leaf spot.Faced with this challenge,an in-vitro study was conducted at Coffee Research Institute,Manicaland,Zimbabwe to examine growth of Cercospora coffeicola in different nutrient media and to determine the best media for Cercospora coffeicola analysis.Six nutrient media were assessed(corn meal agar,oat meal agar,Czapek Dox agar,malt extract agar,yeast extract agar and potato dextrose agar)for the growth of Cercospora coffeicola.The laboratory-based experiment was duplicated,laid out in a Completely Randomized Design,replicated three times and based on Cercospora coffeicola nutrient inoculation.Data were collected on radial growth,colour and texture of mycelium at 3 and 6 days after inoculation.There were significant differences(p<0.05)in the growth of Cercospora coffeicola in media after 3 and 6 days.Malt extract agar had the greatest radial growth(34 mm and 32 mm)of Cercospora coffeicola for trials 1 and 2 respectively,whilst the least growth was in the oat meal agar(14.2 mm and 15.7 mm)for trials 1 and 2 respectively.There were variations in colour and texture of mycelium with malt extract agar,potato dextrose agar and oat meal agar associated with darker colours and rough texture while smooth white mycelia were found in corn meal agar.After considering all nutrient media,malt extract agar was found to be the best media for the growth of Cercospora coffeicola in-vitro.On the basis of our findings,the authors recommend the use of malt extract agar as the primary media for identification and characterisation of Cercospora coffeicola.展开更多
目的基于公开数据库中的大样本信息,探究日常咖啡摄入与不同类型疼痛之间的相关性。方法提取美国国家卫生和营养检查调查(National Health and Nutrition Examination Survey,NHANES)数据库中1999—2000年、2001—2002年、2003—2004年...目的基于公开数据库中的大样本信息,探究日常咖啡摄入与不同类型疼痛之间的相关性。方法提取美国国家卫生和营养检查调查(National Health and Nutrition Examination Survey,NHANES)数据库中1999—2000年、2001—2002年、2003—2004年3个周期受试者的咖啡摄入、疼痛及11个协变量(包括年龄、性别、种族、受教育程度等)数据,采用无序多分类Logistic回归法构建3种模型评估日常咖啡摄入与疼痛之间的相关性。结果共入选符合纳入与排除标准的受试者13428名,其平均年龄为(49.79±19.06)岁,男女比例为0.9∶1。每日咖啡摄入情况:无咖啡摄入7794名(58.0%),>0~2杯咖啡摄入2077名(15.5%),>2杯咖啡摄入3557名(26.5%);每日咖啡因摄入情况:无咖啡因摄入7794名(58.0%),>0~200 mg咖啡因摄入3152名(23.5%),>200 mg咖啡因摄入2482名(18.5%)。疼痛情况:无疼痛或疼痛持续时间<24 h 10202名(76.0%),急性疼痛910名(6.8%),亚急性疼痛369名(2.7%),慢性疼痛1947名(14.5%)。经权重估算,13428名受试者预计可代表1.9亿(190709157名)年龄≥20岁的美国公民,该期间美国人群急性疼痛、亚急性疼痛、慢性疼痛总体患病率分别为8%、3%、16%。Logistic回归分析显示,在未对任何协变量进行校正时,相较于每日无咖啡/咖啡因摄入者,每日咖啡摄入>2杯(OR=1.354,95%CI:1.187~1.544)或咖啡因摄入>200 mg(OR=1.372,95%CI:1.185~1.587)人群出现慢性疼痛的风险增加;当校正年龄、性别、种族的影响后,可得到相近结果,OR值分别为1.243(95%CI:1.083~1.427)和1.249(95%CI:1.072~1.456);当对11个协变量均进行校正时,未发现每日咖啡摄入杯数及咖啡因摄入量与慢性疼痛具有明显相关性。3种模型均未发现每日咖啡摄入杯数、咖啡因摄入量与急性疼痛、亚急性疼痛存在相关性。结论与不摄入咖啡者相比,每日大量摄入咖啡者出现慢性疼痛的风险增高,但此种相关性受多种因素的影响;尚未发现日常咖啡摄入与急性疼痛、亚急性疼痛存在明显相关性。仍需开展基础研究和前瞻性临床试验进一步明确咖啡摄入与慢性疼痛之间的因果关系及其确切作用机制。展开更多
大学生科研训练（Student Research Training，SRT）计划是提高大学生科研能力的重要途径之一，也是培养国家理科基地创新性人才的重要举措。为了解决在实施SRT过程中出现的老师与学生交流不足的问题，南京农业大学引入了以Coffee Break...大学生科研训练（Student Research Training，SRT）计划是提高大学生科研能力的重要途径之一，也是培养国家理科基地创新性人才的重要举措。为了解决在实施SRT过程中出现的老师与学生交流不足的问题，南京农业大学引入了以Coffee Break和Seminar为主体的交流模式。经过近四年的实践探索，该模式有力地完善和保障了SRT的顺利实施，大大促进了创新型人才的培养。文章对此进行了详细的阐述。展开更多
基金support from the Deanship for Research&Innovation,Ministry of Education in Saudi Arabia,under the Auspices of Project Number:IFP22UQU4281768DSR122.
文摘Colletotrichum kahawae(Coffee Berry Disease)spreads through spores that can be carried by wind,rain,and insects affecting coffee plantations,and causes 80%yield losses and poor-quality coffee beans.The deadly disease is hard to control because wind,rain,and insects carry spores.Colombian researchers utilized a deep learning system to identify CBD in coffee cherries at three growth stages and classify photographs of infected and uninfected cherries with 93%accuracy using a random forest method.If the dataset is too small and noisy,the algorithm may not learn data patterns and generate accurate predictions.To overcome the existing challenge,early detection of Colletotrichum Kahawae disease in coffee cherries requires automated processes,prompt recognition,and accurate classifications.The proposed methodology selects CBD image datasets through four different stages for training and testing.XGBoost to train a model on datasets of coffee berries,with each image labeled as healthy or diseased.Once themodel is trained,SHAP algorithmto figure out which features were essential formaking predictions with the proposed model.Some of these characteristics were the cherry’s colour,whether it had spots or other damage,and how big the Lesions were.Virtual inception is important for classification to virtualize the relationship between the colour of the berry is correlated with the presence of disease.To evaluate themodel’s performance andmitigate excess fitting,a 10-fold cross-validation approach is employed.This involves partitioning the dataset into ten subsets,training the model on each subset,and evaluating its performance.In comparison to other contemporary methodologies,the model put forth achieved an accuracy of 98.56%.
文摘Coffee Leaf Rust(CLR)is caused by Hemileia vastatrix in Coffea spp.It is one of the most dangerous phytopathogens for coffee plantations in terms of coffee productivity and coffee cup quality.In this review,we resume the problem of CLR in Mexico and the pathogenesis of H.vastatrix.The review abord plant-pathogen interactions which lead a compatible or incompatible interactions and result in CLR disease or resistance,respectively.The review abord Coffea spp.defense response pathways involved in H.vastatrix pathogenicity.Additionally,current measures to control H.vastatrix proliferation and germination were aborded focused on phytosanitary actions,and biological and chemical control.Finally,new trendlines to reduce the impact of CLR as nanoparticles and nanotechnology were analyzed.
文摘Coffee is a significant industry, accounting for 3% of Vietnam’s GDP, with annual export turnover consistently exceeding USD 3 billion. Despite global economic challenges affecting purchasing power at various times, Vietnam’s coffee exports in December 2023 continued to surge, reaching the highest level in the past 9 months at 190,000 tons, a 59.3% increase compared to November 2023, but still a slight 3.5% decrease from the same period last year. The export turnover reached USD 538 million, a 51% increase from November 2023 and a 26.4% increase from the same period last year. Therefore, forecasting the coffee export volume holds significant importance for coffee producers nationwide. This research employs the Box-Jenkins method to construct an ARIMA model for forecasting Vietnam’s coffee export volume based on annual data published by the General Statistics Office. Results indicate that among the models considered, the ARIMA(1, 1, 2) model is the most suitable. The study also provides short-term forecasts for Vietnam’s coffee export volume. However, the current model is limited to forecasting and is not yet optimized, as the assumed linearity in the model is a simplification.
文摘Phosphorus (P) plays a crucial role in plant growth by aiding in the development of strong roots, promoting flower and fruit formation, and aiding in photosynthesis. Studies to improve P fertilizers efficiency in coffee orchards are necessary due to the need for better efficiency and the lack of information on enhanced efficiency P fertilizers. This study aimed to investigate the effect of MAP coated with anionic polymers (Policote) on coffee orchard development. A coffee trial was carried out in a randomized block design with three replications. The treatments, applied at coffee planting, were arranged in an incomplete factorial (2 × 4) + 1, using two P sources (MAP and Policote coated MAP), four P rates (40, 80, 120, and 160 g P<sub>2</sub>O<sub>5</sub> plant<sup>-1</sup>) and control (without application of P fertilizer). Plant height was evaluated in the 2016/2017, 2017/2018, and 2018/2019 seasons, while coffee bean maturation, yield, and agronomic P efficiency use were evaluated in the last two seasons. P fertilization did not affect coffee bean maturation and increased coffee yield in 31-month-old plants when differences among P sources and rates were observed. Using Policote-coated P fertilizer resulted in higher yields at the same P rate, as well as similar yields at a lower P rate, compared to conventional fertilizer. Policote-coated P fertilizer can be used as an enhanced efficiency fertilizer and is an efficient way to deliver required P to plants. The target for reducing farm investment, increasing agricultural profits, preserving phosphatic rock reserves, and avoiding the overuse of phosphate fertilizer could be realized through the rational use of enhanced efficiency fertilizers.
文摘Food losses in the developing country are thought to be 50% of the fruits and vegetables grown and 25% of harvested food grain. Food preservation can reduce wastage of a harvest surplus, allow storage for food shortages, and in some cases facilitate export to high-value markets. Drying is one of the oldest methods of food preservation. Drying makes produce lighter, smaller, and less likely to spoil and helps to minimize the moisture content in coffee beans as high moisture content during storage is certain to ruin the taste and appearance of coffee. This work presents the results of an experimental study of forced convection drying of coffee cherries in a modified Icaro solar dryer. The study aims to validate the numerical models developed for further research. The experimental tests envisaged also aim to determine the mass loss curves of the product by fixing or calculating its initial mass (1 kg), its initial water content (70%), the ambient temperature, the drying airflow (0.02 m<sup>3.</sup>s<sup>-1</sup> to 0.09 m<sup>3.</sup>s<sup>-1</sup>) and the exchange coefficients. The influence of these aerothermal parameters on the drying time of a most commercialized coffee variety (Robusta) was studied. Finally, the results revealed an increase in the efficiency of the heat transfer air and a reduction in the water content of the coffee cherry from 70% to 9.87%, after 30.2 hours.
文摘Agroforestry systems (AFSs) offer viable solutions to climate change because of the below-ground biomass (BGB) that is maintained by the soil. Therefore, spatially explicit estimation of their BGB is crucial to account for emission reduction efforts. A study to assess soil organic carbon (SOC) and nitrogen dynamics in Arabica coffee agroforests was conducted in two subdivisions (Foumbot and Kouoptamo) of the Noun Division in western Cameroon. The methodological approach involved the collection of 150 soil samples taken at different depths: 0 - 10, 10 - 20 and 20 - 30 cm. Depending on the depth, the SOC stock is 27.93 ± 1.13 tC/ha at 10 cm depth, 22.37 ± 1.47 tC/ha at 20 cm and 20.79 ± 0.31 tC/ha at 30 cm. According to the age classes of the Arabica coffee systems (ACA), the C/N ratio in our study area averaged 26.94 ± 13.60 for the (5 - 20) year old systems in Foumbot and 60.64 ± 48.80 for the (20 - 35) year old systems in Kouoptamo. Depending on the depth, at 10 cm this ratio is higher in Kouoptamo than in Foumbot with a maximum value of 57 and 38 respectively for the two subdivisions. In view of the results obtained, it would be important to analyse the types of microorganisms responsible for the decomposition of organic matter which is linked to soil organic carbon.
文摘Cercospora leaf spot is fast turning into a critically important disease in Zimbabwe.The disease is caused by Cercospora coffeicola which significantly reduces productivity and quality of coffee.Disturbingly,optimum sporulation of Cercospora coffeicola in culture remains a limiting factor for microbial analysis and quantitative studies of Cercospora leaf spot.Faced with this challenge,an in-vitro study was conducted at Coffee Research Institute,Manicaland,Zimbabwe to examine growth of Cercospora coffeicola in different nutrient media and to determine the best media for Cercospora coffeicola analysis.Six nutrient media were assessed(corn meal agar,oat meal agar,Czapek Dox agar,malt extract agar,yeast extract agar and potato dextrose agar)for the growth of Cercospora coffeicola.The laboratory-based experiment was duplicated,laid out in a Completely Randomized Design,replicated three times and based on Cercospora coffeicola nutrient inoculation.Data were collected on radial growth,colour and texture of mycelium at 3 and 6 days after inoculation.There were significant differences(p<0.05)in the growth of Cercospora coffeicola in media after 3 and 6 days.Malt extract agar had the greatest radial growth(34 mm and 32 mm)of Cercospora coffeicola for trials 1 and 2 respectively,whilst the least growth was in the oat meal agar(14.2 mm and 15.7 mm)for trials 1 and 2 respectively.There were variations in colour and texture of mycelium with malt extract agar,potato dextrose agar and oat meal agar associated with darker colours and rough texture while smooth white mycelia were found in corn meal agar.After considering all nutrient media,malt extract agar was found to be the best media for the growth of Cercospora coffeicola in-vitro.On the basis of our findings,the authors recommend the use of malt extract agar as the primary media for identification and characterisation of Cercospora coffeicola.
文摘目的基于公开数据库中的大样本信息,探究日常咖啡摄入与不同类型疼痛之间的相关性。方法提取美国国家卫生和营养检查调查(National Health and Nutrition Examination Survey,NHANES)数据库中1999—2000年、2001—2002年、2003—2004年3个周期受试者的咖啡摄入、疼痛及11个协变量(包括年龄、性别、种族、受教育程度等)数据,采用无序多分类Logistic回归法构建3种模型评估日常咖啡摄入与疼痛之间的相关性。结果共入选符合纳入与排除标准的受试者13428名,其平均年龄为(49.79±19.06)岁,男女比例为0.9∶1。每日咖啡摄入情况:无咖啡摄入7794名(58.0%),>0~2杯咖啡摄入2077名(15.5%),>2杯咖啡摄入3557名(26.5%);每日咖啡因摄入情况:无咖啡因摄入7794名(58.0%),>0~200 mg咖啡因摄入3152名(23.5%),>200 mg咖啡因摄入2482名(18.5%)。疼痛情况:无疼痛或疼痛持续时间<24 h 10202名(76.0%),急性疼痛910名(6.8%),亚急性疼痛369名(2.7%),慢性疼痛1947名(14.5%)。经权重估算,13428名受试者预计可代表1.9亿(190709157名)年龄≥20岁的美国公民,该期间美国人群急性疼痛、亚急性疼痛、慢性疼痛总体患病率分别为8%、3%、16%。Logistic回归分析显示,在未对任何协变量进行校正时,相较于每日无咖啡/咖啡因摄入者,每日咖啡摄入>2杯(OR=1.354,95%CI:1.187~1.544)或咖啡因摄入>200 mg(OR=1.372,95%CI:1.185~1.587)人群出现慢性疼痛的风险增加;当校正年龄、性别、种族的影响后,可得到相近结果,OR值分别为1.243(95%CI:1.083~1.427)和1.249(95%CI:1.072~1.456);当对11个协变量均进行校正时,未发现每日咖啡摄入杯数及咖啡因摄入量与慢性疼痛具有明显相关性。3种模型均未发现每日咖啡摄入杯数、咖啡因摄入量与急性疼痛、亚急性疼痛存在相关性。结论与不摄入咖啡者相比,每日大量摄入咖啡者出现慢性疼痛的风险增高,但此种相关性受多种因素的影响;尚未发现日常咖啡摄入与急性疼痛、亚急性疼痛存在明显相关性。仍需开展基础研究和前瞻性临床试验进一步明确咖啡摄入与慢性疼痛之间的因果关系及其确切作用机制。
文摘大学生科研训练（Student Research Training，SRT）计划是提高大学生科研能力的重要途径之一，也是培养国家理科基地创新性人才的重要举措。为了解决在实施SRT过程中出现的老师与学生交流不足的问题，南京农业大学引入了以Coffee Break和Seminar为主体的交流模式。经过近四年的实践探索，该模式有力地完善和保障了SRT的顺利实施，大大促进了创新型人才的培养。文章对此进行了详细的阐述。
