Pub Date : 2023-10-30DOI: 10.13083/reveng.v30i1.15122
Ana Paula de Freitas Coelho, Flavia Fracalossi Baioco, Camilla Sena da Silva, Luis Cesar da Silva da Silva
The present study aimed to develop and evaluate methodologies of yacon root processing for the production of whole juice, syrup and flour. The physicochemical and color attributes of the derivatives were evaluated through the parameters L*, b*, h. C. ANOVA and Tukey’s test were used to analyze the obtained data, at a 5% significance level. The bleaching treatment was effective in the preparation of the juices by keeping the color coordinates constant and preserving the physicochemical characteristics. Regarding the color coordinates, the syrup with citric acid presented a higher L* value, which indicates greater clarity than the others; a h value near 90°, which indicates greater proximity to the yellow color; and a higher C value, which reveals greater color purity. The pie flour presented high crude fiber content and, together with the control syrup, the highest ash content. The syrup with the antioxidant citric acid presented the best color coordinates and a pH close to 4.5, which makes it the best yacon derivative among those analyzed in this study.
本研究旨在开发和评价用于生产全汁、糖浆和面粉的雪莲根加工方法。通过参数L*， b*， h. c评价衍生物的物理化学属性和颜色属性。采用方差分析和Tukey检验对所得数据进行分析，显著性水平为5%。漂白处理在制备果汁时，既保持了颜色坐标不变，又保持了果汁的理化特性，效果显著。在颜色坐标上，加入柠檬酸的糖浆的L*值更高，说明糖浆的清晰度更高;h值接近90°，表示更接近黄色;C值越高，颜色纯度越高。饼粉粗纤维含量高，与对照糖浆的灰分含量最高。添加抗氧化剂柠檬酸的糖浆颜色坐标最佳，pH值接近4.5，是本研究分析的雪莲果衍生物中效果最好的。
{"title":"Obtaining and physicochemical characterization of yacon derivatives","authors":"Ana Paula de Freitas Coelho, Flavia Fracalossi Baioco, Camilla Sena da Silva, Luis Cesar da Silva da Silva","doi":"10.13083/reveng.v30i1.15122","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.15122","url":null,"abstract":"The present study aimed to develop and evaluate methodologies of yacon root processing for the production of whole juice, syrup and flour. The physicochemical and color attributes of the derivatives were evaluated through the parameters L*, b*, h. C. ANOVA and Tukey’s test were used to analyze the obtained data, at a 5% significance level. The bleaching treatment was effective in the preparation of the juices by keeping the color coordinates constant and preserving the physicochemical characteristics. Regarding the color coordinates, the syrup with citric acid presented a higher L* value, which indicates greater clarity than the others; a h value near 90°, which indicates greater proximity to the yellow color; and a higher C value, which reveals greater color purity. The pie flour presented high crude fiber content and, together with the control syrup, the highest ash content. The syrup with the antioxidant citric acid presented the best color coordinates and a pH close to 4.5, which makes it the best yacon derivative among those analyzed in this study.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":"76 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136104453","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 : 2023-08-24DOI: 10.13083/reveng.v30i1.15448
Victória Hellena Matusevicius e de Castro, T. C. Parreiras, É. L. Bolfe
Brazil stands out in the international citrus trade, especially due to its oranges, having produced around 16 million tons in 2021. However, productivity could be increased with greater control of diseases such as greening, which has spread around the world and leads to the total loss of affected trees. Given this scenario, it is necessary to perform fast and accurate detections in order to better manage actions and inputs. Since remote sensing is a pillar of digital agriculture, a literature review was carried out to analyze the use of optical and thermal sensors for the detection of diseases that affect citrus groves. For this purpose, the international databases Scopus and Web of Science were used to select references published between 2012 and 2022, resulting in twelve studies — most from China or the United States of America. The results showed a prevalence of methodologies that combine bands and spectral indices obtained through the use of multispectral and hyperspectral sensors, predominantly on board unmanned aircrafts (UAVs). Machine learning (ML) and deep learning (DL) classification algorithms produced good results in the detection of citrus groves affected by diseases, mainly greening. These results are affected by the stage of the infection, the presence or absence of symptoms, and the spectral and spatial resolutions of the sensors: the Red-Edge band and data with higher spatial detail result in more accurate classification models. However, the analyzed literature is still inconclusive regarding the early detection of infected plants.
巴西在国际柑橘贸易中脱颖而出，尤其是其柑橘，2021年产量约为1600万吨。然而，通过加强对绿化等疾病的控制，生产力可以提高。绿化已在世界各地蔓延，并导致受影响树木的全部损失。在这种情况下，有必要进行快速准确的检测，以便更好地管理操作和输入。由于遥感是数字农业的支柱，因此对光学和热传感器在检测影响柑橘林的疾病方面的应用进行了文献综述。为此，国际数据库Scopus和Web of Science被用于选择2012年至2022年间发表的参考文献，共进行了12项研究，其中大部分来自中国或美利坚合众国。结果显示，通过使用多光谱和高光谱传感器（主要是机载无人驾驶飞机）获得的波段和光谱指数相结合的方法非常普遍。机器学习（ML）和深度学习（DL）分类算法在检测受疾病影响的柑橘林（主要是绿化）方面取得了良好的效果。这些结果受感染阶段、症状的存在与否以及传感器的光谱和空间分辨率的影响：红边带和具有更高空间细节的数据会产生更准确的分类模型。然而，分析的文献对于早期检测受感染的植物仍然没有定论。
{"title":"Disease detection in citrus crops using optical and thermal remote sensing: a literature review","authors":"Victória Hellena Matusevicius e de Castro, T. C. Parreiras, É. L. Bolfe","doi":"10.13083/reveng.v30i1.15448","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.15448","url":null,"abstract":"Brazil stands out in the international citrus trade, especially due to its oranges, having produced around 16 million tons in 2021. However, productivity could be increased with greater control of diseases such as greening, which has spread around the world and leads to the total loss of affected trees. Given this scenario, it is necessary to perform fast and accurate detections in order to better manage actions and inputs. Since remote sensing is a pillar of digital agriculture, a literature review was carried out to analyze the use of optical and thermal sensors for the detection of diseases that affect citrus groves. For this purpose, the international databases Scopus and Web of Science were used to select references published between 2012 and 2022, resulting in twelve studies — most from China or the United States of America. The results showed a prevalence of methodologies that combine bands and spectral indices obtained through the use of multispectral and hyperspectral sensors, predominantly on board unmanned aircrafts (UAVs). Machine learning (ML) and deep learning (DL) classification algorithms produced good results in the detection of citrus groves affected by diseases, mainly greening. These results are affected by the stage of the infection, the presence or absence of symptoms, and the spectral and spatial resolutions of the sensors: the Red-Edge band and data with higher spatial detail result in more accurate classification models. However, the analyzed literature is still inconclusive regarding the early detection of infected plants.\u0000 ","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45478027","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 : 2023-08-15DOI: 10.13083/reveng.v30i1.15695
S. Arcoverde, C. M. A. D. Souza, H. Nagahama, J. W. Cortez, Jackeline Matos do Nascimento
Conservation systems for soil management are increasing for sugarcane cultivation. However, there is still little information about the effects of this management on soil physical quality at different scales, fundamental to agricultural activity sustainability. The objective was to evaluate the variability and spatial dependence of Oxisol physical attributes under no-tillage and reduced-tillage in sugarcane cultivation. Undeformed soil samples were collected 45 days after sugarcane planting, using a regular mesh with intervals of 7.5 m, totaling 32 points in each tillage system. Soil density, resistance to penetration, total porosity, macroporosity, and microporosity were determined in two depths (0-0.10 and 0.10-0.20 m). Using geostatistical methods was verified in both tillage systems that spatial dependence in the two depths, prevailing in the layer 0.00-0.10 m, in no-tillage, strong dependence with the adjusted spherical model reduced preparation, moderate dependence, with exponential adjustment. In the 0.10-0.20 m layer, spatial dependence was an inversion and adjusted model, i.e., in no-tillage, there was moderate dependence, exponential adjustment, reduced preparation, strong dependence, and spherical adjustment. Linear correlations demonstrate how much soil physical attributes are related to management conditions and present behaviors like isoline cartogram.
{"title":"Spatial variability of soil physical attributes under conservation management systems for sugarcane cultivation","authors":"S. Arcoverde, C. M. A. D. Souza, H. Nagahama, J. W. Cortez, Jackeline Matos do Nascimento","doi":"10.13083/reveng.v30i1.15695","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.15695","url":null,"abstract":"Conservation systems for soil management are increasing for sugarcane cultivation. However, there is still little information about the effects of this management on soil physical quality at different scales, fundamental to agricultural activity sustainability. The objective was to evaluate the variability and spatial dependence of Oxisol physical attributes under no-tillage and reduced-tillage in sugarcane cultivation. Undeformed soil samples were collected 45 days after sugarcane planting, using a regular mesh with intervals of 7.5 m, totaling 32 points in each tillage system. Soil density, resistance to penetration, total porosity, macroporosity, and microporosity were determined in two depths (0-0.10 and 0.10-0.20 m). Using geostatistical methods was verified in both tillage systems that spatial dependence in the two depths, prevailing in the layer 0.00-0.10 m, in no-tillage, strong dependence with the adjusted spherical model reduced preparation, moderate dependence, with exponential adjustment. In the 0.10-0.20 m layer, spatial dependence was an inversion and adjusted model, i.e., in no-tillage, there was moderate dependence, exponential adjustment, reduced preparation, strong dependence, and spherical adjustment. Linear correlations demonstrate how much soil physical attributes are related to management conditions and present behaviors like isoline cartogram.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44295441","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 : 2023-08-07DOI: 10.13083/reveng.v30i1.15461
H. H. Zanetoni, Maria Angela de Souza, Charles de Oliveira Paranhos, D. M. Queiroz, F. C. Sousa
The thermal environment in livestock buildings affects the productive and reproductive performance of animals. Therefore, monitoring thermal environment variables is necessary. This study reviewed the applicability of the electronic device ESP8266 module to monitoring animal production. The ESP8266 module is a microcontroller that enables the collection, storage and transmission of data that influence livestock production. The data collected are transferred to cloud computing systems allowing the development of supervisory systems that can be accessed by smartphones, tablets or computers. With this type of microprocessor, it is possible to develop autonomous management systems for animal production. Connected devices using the internet of things, artificial intelligence, machine learning and blockchain will facilitate the analysis of data from the production chain and the appropriate decision-making. Managers of livestock production systems will be in charge of following up and monitoring the processes.
{"title":"Esp8266 module use in animal production: a review","authors":"H. H. Zanetoni, Maria Angela de Souza, Charles de Oliveira Paranhos, D. M. Queiroz, F. C. Sousa","doi":"10.13083/reveng.v30i1.15461","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.15461","url":null,"abstract":"The thermal environment in livestock buildings affects the productive and reproductive performance of animals. Therefore, monitoring thermal environment variables is necessary. This study reviewed the applicability of the electronic device ESP8266 module to monitoring animal production. The ESP8266 module is a microcontroller that enables the collection, storage and transmission of data that influence livestock production. The data collected are transferred to cloud computing systems allowing the development of supervisory systems that can be accessed by smartphones, tablets or computers. With this type of microprocessor, it is possible to develop autonomous management systems for animal production. Connected devices using the internet of things, artificial intelligence, machine learning and blockchain will facilitate the analysis of data from the production chain and the appropriate decision-making. Managers of livestock production systems will be in charge of following up and monitoring the processes.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43725747","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 : 2023-07-04DOI: 10.13083/reveng.v30i1.15459
H. H. Zanetoni, M. O. Vilela, J. Carlo, Maria Angela de Souza, Charles de Oliveira Paranhos, M. Martins
Computer simulation can provide reliable information about fluid flow behavior, including ventilation, in animal production systems. The ventilation system is essential for thermal conditioning, as it favors animal comfort and enhance productivity. The objective of this study was to develop and validate a CFD (Computational Fluid Dynamics) model to analyze the ventilation system in a compost barn. A mesh with greater refinement was used near the air inlet and outlet and the floor, that is, in these regions the mesh number of cells was larger, which makes a denser mesh. For the validation, data on air velocity were collected in the barn to compare with the results of the simulation. Dead zones of ventilation were identified in the barn, there was an increase in the average air velocity at the air outlet, and temperatures and air velocity were found below the optimal recommended by the literature. However, the adjusted model showed good fit with the values measured, indicating that is a good tool to predict the behavior of air velocity. In addition, the detection of ventilation dead zones inside the barn demonstrates the need for a supplementary ventilation system.
{"title":"Development and validation of cfd model for compost barn with artificial ventilation","authors":"H. H. Zanetoni, M. O. Vilela, J. Carlo, Maria Angela de Souza, Charles de Oliveira Paranhos, M. Martins","doi":"10.13083/reveng.v30i1.15459","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.15459","url":null,"abstract":"Computer simulation can provide reliable information about fluid flow behavior, including ventilation, in animal production systems. The ventilation system is essential for thermal conditioning, as it favors animal comfort and enhance productivity. The objective of this study was to develop and validate a CFD (Computational Fluid Dynamics) model to analyze the ventilation system in a compost barn. A mesh with greater refinement was used near the air inlet and outlet and the floor, that is, in these regions the mesh number of cells was larger, which makes a denser mesh. For the validation, data on air velocity were collected in the barn to compare with the results of the simulation. Dead zones of ventilation were identified in the barn, there was an increase in the average air velocity at the air outlet, and temperatures and air velocity were found below the optimal recommended by the literature. However, the adjusted model showed good fit with the values measured, indicating that is a good tool to predict the behavior of air velocity. In addition, the detection of ventilation dead zones inside the barn demonstrates the need for a supplementary ventilation system.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49074514","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 : 2023-06-29DOI: 10.13083/reveng.v30i1.14959
S. Santos, Izabela Souza Lopes Rangel, Kênia Lira de Souza, A. Dantas, Maria da Guia de Medeiros, Maria das Graças Rodrigues do Nascimento
Cajanus cajan is used as fertilizer or as food for human and animal. Since salinization of soils is a worldwide problem, it is necessary to look for resistant species. Thus, this study aimed to evaluate the effect of NaCl on germination, emergence and vigor of C. cajan. Therefore, seeds of the pintadinho cultivar and five concentrations of NaCl (1.5; 3.0; 4.5; 6.0; and 7.5 dSm-¹) and control were used. A completely randomized design was performed with four repetitions of 50 seeds for each treatment. Data were submitted to analysis of variance, using the F test to compare mean squares, and the polynomial regression analysis for quantitative effects. The progressive addition of salt had no significant effect on germination and emergence of C. cajan seedlings, however it reduced its vigor.
{"title":"Effect of sodium chloride on germination and vigor of Cajanus cajan (l.) millspaugh seeds","authors":"S. Santos, Izabela Souza Lopes Rangel, Kênia Lira de Souza, A. Dantas, Maria da Guia de Medeiros, Maria das Graças Rodrigues do Nascimento","doi":"10.13083/reveng.v30i1.14959","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.14959","url":null,"abstract":"Cajanus cajan is used as fertilizer or as food for human and animal. Since salinization of soils is a worldwide problem, it is necessary to look for resistant species. Thus, this study aimed to evaluate the effect of NaCl on germination, emergence and vigor of C. cajan. Therefore, seeds of the pintadinho cultivar and five concentrations of NaCl (1.5; 3.0; 4.5; 6.0; and 7.5 dSm-¹) and control were used. A completely randomized design was performed with four repetitions of 50 seeds for each treatment. Data were submitted to analysis of variance, using the F test to compare mean squares, and the polynomial regression analysis for quantitative effects. The progressive addition of salt had no significant effect on germination and emergence of C. cajan seedlings, however it reduced its vigor.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43421602","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 : 2023-06-20DOI: 10.13083/reveng.v30i1.15436
P. M. D. C. Bandeira, Flora Maria de Melo Villar, Priscila Pascali da Costa Bandeira, Iara Aparecida Dias
Crop productivity estimate aims at the economic definitions about crop, agricultural management, and land use, among others. However, it is common to observe the use of visual methods to estimate the productivity of the soybean crop through the classification of pods, resulting in a slow, costly method besides being susceptible to human errors. Thus, the objective of this work was to carry out the training of two deep learning methods to classify soybean pods according to the number of grains based on images obtained using a smartphone. Data collection was carried out at the Federal University of Viçosa (UFV). Data consisted of capturing images from a smartphone and training two deep learning models: Mask R-CNN and YOLOv4. To capture the images, the soybean pods were pulled from the plants and placed in a white-bottom container. This procedure occurred for each plant collected. Both models tended towards a better classification for the two- and three-grain pods, reaching a value of 90% for the F1 score metric. This fact may have occurred because of the greater amount of these two types of pods present in the chosen cultivars. Finally, the potential of using deep learning to classify soybean pods based on the number of grains was observed.
{"title":"Classification of soybean pods using the deep learning techniques","authors":"P. M. D. C. Bandeira, Flora Maria de Melo Villar, Priscila Pascali da Costa Bandeira, Iara Aparecida Dias","doi":"10.13083/reveng.v30i1.15436","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.15436","url":null,"abstract":"Crop productivity estimate aims at the economic definitions about crop, agricultural management, and land use, among others. However, it is common to observe the use of visual methods to estimate the productivity of the soybean crop through the classification of pods, resulting in a slow, costly method besides being susceptible to human errors. Thus, the objective of this work was to carry out the training of two deep learning methods to classify soybean pods according to the number of grains based on images obtained using a smartphone. Data collection was carried out at the Federal University of Viçosa (UFV). Data consisted of capturing images from a smartphone and training two deep learning models: Mask R-CNN and YOLOv4. To capture the images, the soybean pods were pulled from the plants and placed in a white-bottom container. This procedure occurred for each plant collected. Both models tended towards a better classification for the two- and three-grain pods, reaching a value of 90% for the F1 score metric. This fact may have occurred because of the greater amount of these two types of pods present in the chosen cultivars. Finally, the potential of using deep learning to classify soybean pods based on the number of grains was observed.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45840402","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 : 2023-06-15DOI: 10.13083/reveng.v30i1.15028
A. P. D. Silva, Emanoella Santos Carneiro, Lauriane De Oliveira Carneiro, Natielle Guimarães da Silva, Rosangela Leal Santos
The current hegemonic agricultural model, which is based on the green revolution, is intrinsically related to environmental and social impacts, such as erosion, desertification, and abandonment of agricultural areas. Thus, the objective of this study was to evaluate the loss of soil and water through runoff during a simulated rainfall event, testing the efficiency of different types of coverings on beds with watermelon crops, inferring that in relation to soil loss, this was greater in uncovered soil. Therefore, it should be observed that this work has applicability in the choice of efficient soil management techniques, to minimize the effects of erosion and, consequently, the environmental impacts as a result of agricultural activities. The results obtained showed a loss equivalent to 72.72% of the total for bare soil, which means a greater sedimentation of the soil, while for soils covered with corn straw and the biodegradable blanket, a loss of 19.70% and 7.58% of the total were observed, respectively. Surface water runoff, with the use of corn straw and the biodegradable blanket, was reduced by 81.22% and 67.42%, respectively. It was concluded that soil cover is effective in controlling water erosion.The current hegemonic agricultural model, which is based on the green revolution, is intrinsically related to environmental and social impacts, such as erosion, desertification, and abandonment of agricultural areas. Thus, the objective of this study was to evaluate the loss of soil and water through runoff during a simulated rainfall event, testing the efficiency of different types of coverings on beds with watermelon crops, inferring that in relation to soil loss, this was greater in uncovered soil. Therefore, it should be observed that this work has applicability in the choice of efficient soil management techniques, to minimize the effects of erosion and, consequently, the environmental impacts as a result of agricultural activities. The results obtained showed a loss equivalent to 72.72% of the total for bare soil, which means a greater sedimentation of the soil, while for soils covered with corn straw and the biodegradable blanket, a loss of 19.70% and 7.58% of the total were observed, respectively. Surface water runoff, with the use of corn straw and the biodegradable blanket, was reduced by 81.22% and 67.42%, respectively. It was concluded that soil cover is effective in controlling water erosion.
{"title":"Evaluation of soil and water loss under different soil covers","authors":"A. P. D. Silva, Emanoella Santos Carneiro, Lauriane De Oliveira Carneiro, Natielle Guimarães da Silva, Rosangela Leal Santos","doi":"10.13083/reveng.v30i1.15028","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.15028","url":null,"abstract":"The current hegemonic agricultural model, which is based on the green revolution, is intrinsically related to environmental and social impacts, such as erosion, desertification, and abandonment of agricultural areas. Thus, the objective of this study was to evaluate the loss of soil and water through runoff during a simulated rainfall event, testing the efficiency of different types of coverings on beds with watermelon crops, inferring that in relation to soil loss, this was greater in uncovered soil. Therefore, it should be observed that this work has applicability in the choice of efficient soil management techniques, to minimize the effects of erosion and, consequently, the environmental impacts as a result of agricultural activities. The results obtained showed a loss equivalent to 72.72% of the total for bare soil, which means a greater sedimentation of the soil, while for soils covered with corn straw and the biodegradable blanket, a loss of 19.70% and 7.58% of the total were observed, respectively. Surface water runoff, with the use of corn straw and the biodegradable blanket, was reduced by 81.22% and 67.42%, respectively. It was concluded that soil cover is effective in controlling water erosion.The current hegemonic agricultural model, which is based on the green revolution, is intrinsically related to environmental and social impacts, such as erosion, desertification, and abandonment of agricultural areas. Thus, the objective of this study was to evaluate the loss of soil and water through runoff during a simulated rainfall event, testing the efficiency of different types of coverings on beds with watermelon crops, inferring that in relation to soil loss, this was greater in uncovered soil. Therefore, it should be observed that this work has applicability in the choice of efficient soil management techniques, to minimize the effects of erosion and, consequently, the environmental impacts as a result of agricultural activities. The results obtained showed a loss equivalent to 72.72% of the total for bare soil, which means a greater sedimentation of the soil, while for soils covered with corn straw and the biodegradable blanket, a loss of 19.70% and 7.58% of the total were observed, respectively. Surface water runoff, with the use of corn straw and the biodegradable blanket, was reduced by 81.22% and 67.42%, respectively. It was concluded that soil cover is effective in controlling water erosion.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48745001","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 : 2023-05-26DOI: 10.13083/reveng.v30i1.14716
Thays Sousa Lopes, R. W. Soares, J. V. Pereira Filho, Thalita Alves Lima do Nascimento, Neuriane Cabral dos Santos, C. C. M. D. S. Pereira
Agricultural crops present phenological stages of less susceptibility to soil water deficit, in which the deficit irrigation management strategy can be used. In this context, the objective was to evaluate the influence of deficit irrigation management during different stages of development in three soybean cultivars in the edaphoclimatic conditions of the southern cerrado of Piauí. The research was conducted from September 2020 to January 2021, in the municipality of Uruçuí-PI (with geographic coordinates of 07º 13’ 46” S, 44º 33’ 22” W), under an experimental design of randomized blocks, in a split-plot scheme, where the treatments, composed in the plots, were defined according to the time of induction of the water deficit of 50% of the crop’s potential evapotranspiration - ETpc, via climate, in three soybean phenological stages (vegetative, flowering and production formation), and the subplots, were composed of three cultivars (FT 4191; FT 3181 and BG 478 IPRO), with three replications. In order to verify the effects of the imposed treatments, the following variables were evaluated: plant height, number of leaves and total dry mass of the aerial part. Variables were maintained for statistical analysis by Tukey’s test (cultivars) and Scott-Knott’s test (deficient irrigation treatments). The vegetative characteristics of the investigated soybean cultivars (plant height, number of leaves and shoot dry mass production) are drastically affected when the imposition of water deficit (50% of ETpc) is induced throughout the production cycle. Under such water conditions, the FT 4181 and 3191 IPRO cultivars stood out among the investigated cultivars, thus being identified as the most tolerant to reduced water availability in their different phenological stages.
{"title":"Response of vegetative performance in soybean cultivars submitted to deficit irrigation","authors":"Thays Sousa Lopes, R. W. Soares, J. V. Pereira Filho, Thalita Alves Lima do Nascimento, Neuriane Cabral dos Santos, C. C. M. D. S. Pereira","doi":"10.13083/reveng.v30i1.14716","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.14716","url":null,"abstract":"Agricultural crops present phenological stages of less susceptibility to soil water deficit, in which the deficit irrigation management strategy can be used. In this context, the objective was to evaluate the influence of deficit irrigation management during different stages of development in three soybean cultivars in the edaphoclimatic conditions of the southern cerrado of Piauí. The research was conducted from September 2020 to January 2021, in the municipality of Uruçuí-PI (with geographic coordinates of 07º 13’ 46” S, 44º 33’ 22” W), under an experimental design of randomized blocks, in a split-plot scheme, where the treatments, composed in the plots, were defined according to the time of induction of the water deficit of 50% of the crop’s potential evapotranspiration - ETpc, via climate, in three soybean phenological stages (vegetative, flowering and production formation), and the subplots, were composed of three cultivars (FT 4191; FT 3181 and BG 478 IPRO), with three replications. In order to verify the effects of the imposed treatments, the following variables were evaluated: plant height, number of leaves and total dry mass of the aerial part. Variables were maintained for statistical analysis by Tukey’s test (cultivars) and Scott-Knott’s test (deficient irrigation treatments). The vegetative characteristics of the investigated soybean cultivars (plant height, number of leaves and shoot dry mass production) are drastically affected when the imposition of water deficit (50% of ETpc) is induced throughout the production cycle. Under such water conditions, the FT 4181 and 3191 IPRO cultivars stood out among the investigated cultivars, thus being identified as the most tolerant to reduced water availability in their different phenological stages.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43440011","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 : 2023-05-16DOI: 10.13083/reveng.v30i1.14761
Gisele Cristina Rabelo Silva
Macauba (Acrocomia aculeata) is a good source of vegetable oil in tropical America. Its fruits are highly suitable for biodiesel, cosmetics and food production owing to the high quality of its oil. However, the influence of maturity and harvest region on the quality of oils is not known. Thus, the chemical composition and physicochemical properties oils extracted from the macauba palm fruit at two regions of Minas Gerais and different maturity stage were investigated. C16:0 and C18:1 were the most abundant fatty acids in the mesocarp oil. C12:0, C14:0, C16:0, and C18:1 prevailed in the kernel oil. The High-Resolution Gas Chromatography analysis revealed triacylglycerols (TGs) with equivalent carbon numbers (CN) ranging between 28 and 54. TGs composed of long-chain fatty acids prevailed in the mesocarp oil (CN52 and CN54). On the other hand, the kernel showed a more complex lipid profile, containing TGs with CN between 30 and 54. The lipid content in the oils increased significantly with the ripening of the fruit and the harvest regions. Furthermore, changes in physicochemical properties were observed for both oils depending on the stage of maturity and harvest point. Macauba oils can be used in several industries, such as food and cosmetics. Thus, for its best use, the physicochemical properties of greatest interest should be evaluated in order to identify the ideal cultivation region and maturity stage.
{"title":"Influence of maturity and harvest region on the chemical composition and physicochemical properties of oils derived from macauba fruits","authors":"Gisele Cristina Rabelo Silva","doi":"10.13083/reveng.v30i1.14761","DOIUrl":"https://doi.org/10.13083/reveng.v30i1.14761","url":null,"abstract":"Macauba (Acrocomia aculeata) is a good source of vegetable oil in tropical America. Its fruits are highly suitable for biodiesel, cosmetics and food production owing to the high quality of its oil. However, the influence of maturity and harvest region on the quality of oils is not known. Thus, the chemical composition and physicochemical properties oils extracted from the macauba palm fruit at two regions of Minas Gerais and different maturity stage were investigated. C16:0 and C18:1 were the most abundant fatty acids in the mesocarp oil. C12:0, C14:0, C16:0, and C18:1 prevailed in the kernel oil. The High-Resolution Gas Chromatography analysis revealed triacylglycerols (TGs) with equivalent carbon numbers (CN) ranging between 28 and 54. TGs composed of long-chain fatty acids prevailed in the mesocarp oil (CN52 and CN54). On the other hand, the kernel showed a more complex lipid profile, containing TGs with CN between 30 and 54. The lipid content in the oils increased significantly with the ripening of the fruit and the harvest regions. Furthermore, changes in physicochemical properties were observed for both oils depending on the stage of maturity and harvest point. Macauba oils can be used in several industries, such as food and cosmetics. Thus, for its best use, the physicochemical properties of greatest interest should be evaluated in order to identify the ideal cultivation region and maturity stage.","PeriodicalId":33461,"journal":{"name":"Engenharia na Agricultura","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45601183","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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