To observe the growth and yield attributes of cabbage under different spacing and nitrogen fertilizers, a field experiment was conducted with cabbage (Brassica oleracea var. capitata L.) variety “BARI Badha kopi-2 (Agradut)”. The experiment was carried out at the research field of the Department of Crop Science and Technology, Rajshahi University, Rajshahi during the period from November, 2021 to March, 2022. The experiment consisted of three spacing i.e. 50cmX30cm, 50cmX40cm and 50cmX50cm as well as three levels of nitrogen fertilizers viz. 50kg/ha, 100kg/ha and 150kg/ha. The results revealed that different treatments significantly affected the growth and yield attributes of cabbage. The combination of wider spacing (50cmX50cm) combination with highest level of nitrogen fertilizer (150kg/ha) produced the maximum plant height, no. of leaves per plant, largest leaf length, largest leaf breadth, head diameter, head thickness, individual head weight and yield whereas50cmX30cm spacing and lowest level of nitrogen fertilizer (50kg/ha)required maximum days required for head maturity. On the other hand, all the studied parameters except days required for head maturity found to be lowest in the treatment combination of 50cmX30cm spacing with lower level of nitrogen fertilizer (50kg/ha).The study concluded that cabbage need to be cultivated at 50cmX50cmspacing and 150kg/ha nitrogen fertilizer is to be applied for getting the targeted yield as well as desired return from cabbage cultivation in “High Ganges River Floodplain zones” of Bangladesh.
为观察不同施用间距和氮肥条件下大白菜的生长和产量特性，以大白菜(Brassica oleracea var. capitata L.)品种BARI Badha kopi-2为试验材料。试验于2021年11月至2022年3月在Rajshahi大学作物科学与技术系研究场进行。试验设50cmX30cm、50cmX40cm和50cmX50cm三个间距，施氮水平分别为50kg/ha、100kg/ha和150kg/ha。结果表明，不同处理对白菜的生长和产量性状有显著影响。宽间距(50cmX50cm)配施最高施氮量(150kg/ hm2)的组合株高最高。单株叶片、最大叶长、最大叶宽、穗直径、穗厚、单株穗重和产量，而50cmx30cm间距和最低氮肥水平(50kg/ha)要求穗成熟所需的最大天数。另一方面，除穗成熟所需天数外，其余各项指标均以50cmX30cm间距和较低施氮量(50kg/ hm2)处理组合最低。该研究得出结论，在孟加拉国“恒河高洪泛区”，白菜种植需要以50cmx50cmm2的间距种植，施用150公斤/公顷的氮肥，以获得目标产量和期望的回报。
{"title":"Effect of Spacing and Nitrogen Fertilizer on the Growth and Yield of Cabbage (Brassica oleracea Var. Capitata L.)","authors":"Mosleh Ud-Deen","doi":"10.23880/oajar-16000318","DOIUrl":"https://doi.org/10.23880/oajar-16000318","url":null,"abstract":"To observe the growth and yield attributes of cabbage under different spacing and nitrogen fertilizers, a field experiment was conducted with cabbage (Brassica oleracea var. capitata L.) variety “BARI Badha kopi-2 (Agradut)”. The experiment was carried out at the research field of the Department of Crop Science and Technology, Rajshahi University, Rajshahi during the period from November, 2021 to March, 2022. The experiment consisted of three spacing i.e. 50cmX30cm, 50cmX40cm and 50cmX50cm as well as three levels of nitrogen fertilizers viz. 50kg/ha, 100kg/ha and 150kg/ha. The results revealed that different treatments significantly affected the growth and yield attributes of cabbage. The combination of wider spacing (50cmX50cm) combination with highest level of nitrogen fertilizer (150kg/ha) produced the maximum plant height, no. of leaves per plant, largest leaf length, largest leaf breadth, head diameter, head thickness, individual head weight and yield whereas50cmX30cm spacing and lowest level of nitrogen fertilizer (50kg/ha)required maximum days required for head maturity. On the other hand, all the studied parameters except days required for head maturity found to be lowest in the treatment combination of 50cmX30cm spacing with lower level of nitrogen fertilizer (50kg/ha).The study concluded that cabbage need to be cultivated at 50cmX50cmspacing and 150kg/ha nitrogen fertilizer is to be applied for getting the targeted yield as well as desired return from cabbage cultivation in “High Ganges River Floodplain zones” of Bangladesh.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207315","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}
Homoeopathic dilutions are applied to plants to boost their active constituents, cleanse them, speed up their growth and fruit production, enhance their metabolism, and control illnesses. The purpose of this known research prospective study was to evaluate that how homoeopathic medicines worked. Cicer arietinum L. was the subject of this controlled, experimental, prospective investigation to determine the impact of the homoeopathic drugs Phytolacca decandra Mother tincture (MT) and 30CH, 200CH on plant development. This research aids in evaluating and establishing the function of homoeopathy in plant growth propagation. Cicer areitinum seeds were grown on the Research Facilitation centre, Sarada Krishna Homoeopathic Medical College campus in a specified location. These were divided into four groups: 30 Seeds each were soaked with Phytolacca decandra Mother tincture, Phytolacca decandra 30CH, Phytolacca decandra 200CH, and Phytolacca decandra 200CH, Plain alcohol. Germination index calculated. Control Group, Phytolacca decandra 30CH, Phytolacca decandra 200CH treated as nutrient medium in separate Beakers and chickpea plant were grown in hydroponics. The entire plant was measured for Root length, Shoot length after 20 days. Chlorophyll content assessed. After 5 days, Seeds treated with Phytolacca decandra shows higher germination rate than seeds treated with plain alcohol. The seeds treated with Phytolacca decandra 200 CH have growth promoting effect on Cicer areitinum L (Chick pea) seed. Cicer areitinum was the subject of this controlled, experimental, prospective investigation to determine the impact of the homoeopathic drugs Phytolacca decandra Mother tincture (MT) and 30CH, 200CH on plant development. This research aids in evaluating and establishing the function of homoeopathy in plant growth propagation.
{"title":"An Experimental Study on Efficacy of Ultra-Diluted Phytolacca decandra in Growth-Promoting Effect on Cicer areitinum (Chickpea) Seeds through Hydroponics","authors":"Kathirvel Raja MU","doi":"10.23880/oajar-16000310","DOIUrl":"https://doi.org/10.23880/oajar-16000310","url":null,"abstract":"Homoeopathic dilutions are applied to plants to boost their active constituents, cleanse them, speed up their growth and fruit production, enhance their metabolism, and control illnesses. The purpose of this known research prospective study was to evaluate that how homoeopathic medicines worked. Cicer arietinum L. was the subject of this controlled, experimental, prospective investigation to determine the impact of the homoeopathic drugs Phytolacca decandra Mother tincture (MT) and 30CH, 200CH on plant development. This research aids in evaluating and establishing the function of homoeopathy in plant growth propagation. Cicer areitinum seeds were grown on the Research Facilitation centre, Sarada Krishna Homoeopathic Medical College campus in a specified location. These were divided into four groups: 30 Seeds each were soaked with Phytolacca decandra Mother tincture, Phytolacca decandra 30CH, Phytolacca decandra 200CH, and Phytolacca decandra 200CH, Plain alcohol. Germination index calculated. Control Group, Phytolacca decandra 30CH, Phytolacca decandra 200CH treated as nutrient medium in separate Beakers and chickpea plant were grown in hydroponics. The entire plant was measured for Root length, Shoot length after 20 days. Chlorophyll content assessed. After 5 days, Seeds treated with Phytolacca decandra shows higher germination rate than seeds treated with plain alcohol. The seeds treated with Phytolacca decandra 200 CH have growth promoting effect on Cicer areitinum L (Chick pea) seed. Cicer areitinum was the subject of this controlled, experimental, prospective investigation to determine the impact of the homoeopathic drugs Phytolacca decandra Mother tincture (MT) and 30CH, 200CH on plant development. This research aids in evaluating and establishing the function of homoeopathy in plant growth propagation.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207968","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}
Rhipicephalus microplus, famous as the cattle tick, is a hematophagous ectoparasite distributed worldwide in tropical and subtropical regions. Its infestations represent a threat to the cattle industry since they generate a negative economic impact on cattle production and animal welfare. The method par excellence for tick control is based on applying chemical agents. However, their use has had limited efficacy, often accompanied by environmental contamination and the selection of tick’s resistant to most chemical agents, rendering them ineffective. One of the alternative methods to combat R. microplus infestations is the development of vaccines. Two commercial vaccines are based on the Bm86 antigen, TickGARD®, and Gavac®. However, the efficacy is highly variable between different geographical regions. While it is true that other alternatives have been tested, the search for vaccine antigens that provide high protection against R. microplus remains a challenge in which genomic, transcriptomic, and proteomic studies are required. This review briefly summarizes the current situation regarding the discovery of candidate antigens for vaccines against ticks in cattle, as well as the methodologies employed for their search and development.
{"title":"Vaccines against Cattle Ticks: Current Status","authors":"Rodolfo Lagunes Quintanilla","doi":"10.23880/oajar-16000306","DOIUrl":"https://doi.org/10.23880/oajar-16000306","url":null,"abstract":"Rhipicephalus microplus, famous as the cattle tick, is a hematophagous ectoparasite distributed worldwide in tropical and subtropical regions. Its infestations represent a threat to the cattle industry since they generate a negative economic impact on cattle production and animal welfare. The method par excellence for tick control is based on applying chemical agents. However, their use has had limited efficacy, often accompanied by environmental contamination and the selection of tick’s resistant to most chemical agents, rendering them ineffective. One of the alternative methods to combat R. microplus infestations is the development of vaccines. Two commercial vaccines are based on the Bm86 antigen, TickGARD®, and Gavac®. However, the efficacy is highly variable between different geographical regions. While it is true that other alternatives have been tested, the search for vaccine antigens that provide high protection against R. microplus remains a challenge in which genomic, transcriptomic, and proteomic studies are required. This review briefly summarizes the current situation regarding the discovery of candidate antigens for vaccines against ticks in cattle, as well as the methodologies employed for their search and development.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"113 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207100","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}
The significance of nitrogen fertilizer in maize (Zea mays L.) cultivation cannot be underestimated. Therefore the aim of the study is to assess the responsiveness of maize varieties to four rates of nitrogen fertilization in the formation of grain yield and other agronomic traits. The study area was at the Teaching and Research Farm of Ladoke Akintola University of Technology, Ogbomoso, Nigeria. The test period was between 2021 and 2022 where six varieties of maize (sub-plot factor) were included in an experiment with four rates (0, 30, 90 and 150 kg N/ha) of nitrogen fertilizer (main plot factor) laid down in a randomized complete block design with six replicates. Analysis of variance indicated that there were significant (P < 0.01) differences among maize varieties, nitrogen fertilizer rates, variety × year interaction as well as between the years of evaluation for grain yield and other agronomic traits. Growth parameters and grain yields differed significantly (P < 0.05) between varieties at all nitrogen fertilizer rates. SC 719 produced the highest yield (2512.03 kg/ha), whereas the lowest yield (1721.41 kg/ha) was found in SAMMAZ 27. The shortest anthesis-silking interval (2.4 days), lowest ear aspect score (4.9), highest grain yield (2734.6 kg/ha), plant (167.3 cm) and ear (72.3 cm) heights was recorded from plots fertilized with 150 kg N/ha. All the maize varieties performed better than the widely grown adapted local check (Oba super 6) under 0 kg N/ha. The application of nitrogen fertilizer improves yield and other agronomic traits of the maize varieties. Treatment of 90 kg N/ha gave comparable performance with 150 kg N/ha for most traits. Moreover, judicious nitrogen fertilizer management could ensure high grain yield production and profit.
氮肥在玉米(Zea mays L.)栽培中的重要性不可低估。因此，本研究的目的是评估玉米品种对四种氮肥水平在籽粒产量和其他农艺性状形成中的响应性。研究地点位于尼日利亚Ogbomoso的Ladoke Akintola科技大学的教学和研究农场。试验期为2021 ~ 2022年，选取6个玉米品种(子地块因子)，采用随机完全区组设计，设置4种氮肥(主地块因子)施用量(0、30、90和150 kg N/ha)，共6个重复。方差分析表明，差异有统计学意义(P <玉米品种间差异、施氮量差异、品种与年交互作用差异以及籽粒产量和其他农艺性状评价年份间差异均达0.01)。生长参数和粮食产量差异显著(P <0.05)。sc719的产量最高(2512.03 kg/ha)，而SAMMAZ 27的产量最低(1721.41 kg/ha)。施氮量为150 kg/ha的地块花丝间隔最短(2.4 d)，穗向评分最低(4.9)，籽粒产量最高(2734.6 kg/ha)，株高167.3 cm，穗高72.3 cm。在0 kg N/ hm2条件下，所有玉米品种的表现都优于广泛种植的地方对照(奥巴超级6号)。施氮肥可提高玉米品种的产量和其他农艺性状。在大多数性状上，90 kg N/ hm2处理与150 kg N/ hm2处理相当。合理的氮肥管理可以保证粮食高产和利润。
{"title":"Evaluation of the Relationship between Nitrogen Fertilization and Agronomic Performance of Maize (Zea mays L.) Varieties","authors":"Adesike Oladoyin Kolawole","doi":"10.23880/oajar-16000322","DOIUrl":"https://doi.org/10.23880/oajar-16000322","url":null,"abstract":"The significance of nitrogen fertilizer in maize (Zea mays L.) cultivation cannot be underestimated. Therefore the aim of the study is to assess the responsiveness of maize varieties to four rates of nitrogen fertilization in the formation of grain yield and other agronomic traits. The study area was at the Teaching and Research Farm of Ladoke Akintola University of Technology, Ogbomoso, Nigeria. The test period was between 2021 and 2022 where six varieties of maize (sub-plot factor) were included in an experiment with four rates (0, 30, 90 and 150 kg N/ha) of nitrogen fertilizer (main plot factor) laid down in a randomized complete block design with six replicates. Analysis of variance indicated that there were significant (P < 0.01) differences among maize varieties, nitrogen fertilizer rates, variety × year interaction as well as between the years of evaluation for grain yield and other agronomic traits. Growth parameters and grain yields differed significantly (P < 0.05) between varieties at all nitrogen fertilizer rates. SC 719 produced the highest yield (2512.03 kg/ha), whereas the lowest yield (1721.41 kg/ha) was found in SAMMAZ 27. The shortest anthesis-silking interval (2.4 days), lowest ear aspect score (4.9), highest grain yield (2734.6 kg/ha), plant (167.3 cm) and ear (72.3 cm) heights was recorded from plots fertilized with 150 kg N/ha. All the maize varieties performed better than the widely grown adapted local check (Oba super 6) under 0 kg N/ha. The application of nitrogen fertilizer improves yield and other agronomic traits of the maize varieties. Treatment of 90 kg N/ha gave comparable performance with 150 kg N/ha for most traits. Moreover, judicious nitrogen fertilizer management could ensure high grain yield production and profit.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207312","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}
Care farming is a form of 'Green Care' providing opportunities for those suffering from a range of health problems to work in horticultural/agricultural activities as a means of physical health, promoting mental and social wellbeing. This type of naturebased therapy or therapeutic intervention uses farms and agricultural landscapes to boost mental, social, and physical health through routine farming activities for people with a specified need.
{"title":"Care Farming: A Natural Therapy for Healthy Life","authors":"Gopu B","doi":"10.23880/oajar-16000304","DOIUrl":"https://doi.org/10.23880/oajar-16000304","url":null,"abstract":"Care farming is a form of 'Green Care' providing opportunities for those suffering from a range of health problems to work in horticultural/agricultural activities as a means of physical health, promoting mental and social wellbeing. This type of naturebased therapy or therapeutic intervention uses farms and agricultural landscapes to boost mental, social, and physical health through routine farming activities for people with a specified need.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207958","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}
Genetic improvement of okra for yield is significant to overcome the low genetic potential of the existing varieties and environmental factors which are the major constraints to okra yield. This study was carried out to understand the genetic nature of yield and its components on which selection can be made. The seed of each accession was sown in a plot laid out in randomised complete block design with three replications. Data were collected on fifteen agronomic characters and analysed. The magnitude of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were highest for number of pods and lowest for number of days to germination respectively. The PCV was moderately higher than GCV in most of the traits studied, which indicated that environment played a little role in the expression of these traits. Low heritability was recorded for number of leaves and number of branches which indicated more influence of environmental effect, which may be due to the presence of non-additive gene action in the expression of the traits. High heritability and high genetic advance as percent of mean were recorded for plant height at flowering, days to 50% flowering, plant height at maturity, internode length, number of pods and days to maturity, indicating that these traits were less influenced by environment and presence of additive gene action. NGB00378A, NGB00299, NGB00304 and NGB00302 had higher fruit yields; flowered earlier, had longer harvesting period. Therefore, selection can be made on these for further improvement of this crop.
{"title":"Genetic Diversity, Heritability, Genetic Advance of Growth and Yield Traits of Some Okra (Abelmoschus Esculentus L. Moench) Accessions","authors":"Komolafe Ronke Justina","doi":"10.23880/oajar-16000302","DOIUrl":"https://doi.org/10.23880/oajar-16000302","url":null,"abstract":"Genetic improvement of okra for yield is significant to overcome the low genetic potential of the existing varieties and environmental factors which are the major constraints to okra yield. This study was carried out to understand the genetic nature of yield and its components on which selection can be made. The seed of each accession was sown in a plot laid out in randomised complete block design with three replications. Data were collected on fifteen agronomic characters and analysed. The magnitude of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were highest for number of pods and lowest for number of days to germination respectively. The PCV was moderately higher than GCV in most of the traits studied, which indicated that environment played a little role in the expression of these traits. Low heritability was recorded for number of leaves and number of branches which indicated more influence of environmental effect, which may be due to the presence of non-additive gene action in the expression of the traits. High heritability and high genetic advance as percent of mean were recorded for plant height at flowering, days to 50% flowering, plant height at maturity, internode length, number of pods and days to maturity, indicating that these traits were less influenced by environment and presence of additive gene action. NGB00378A, NGB00299, NGB00304 and NGB00302 had higher fruit yields; flowered earlier, had longer harvesting period. Therefore, selection can be made on these for further improvement of this crop.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136208394","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}
World population in recent decades has significant impacts on the traditional agricultural systems which has resulted in increased demand for food, land use and deforestation, water scarcity, climate changes but not limited to these impacts. In order to overcome all these issues, there is a need for advanced farming technologies for growing the most demand food crops. Smart farming also known as precision agriculture has evolved which uses the advanced technology to optimize the efficiency and productivity of the farming operations. It involves the integration of various technologies such as IoT sensors, drones, robotics and machine learning technologies, big data analytics to gather data on crop growth, environmental conditions and weather patterns. Vertical framing (VF) is one such precision framing efficient crop growth practices which adapts the integration of Internet of Things (IoT) and machine learning (ML) technologies in easier manner. Since, the vertical farming is completely an indoor farming technique, they do not depend on the particular geographical locations and outdoor growth parameters (like soil) for crop cultivation; hence, vertical farming is also known as controlled environment agriculture. This article explores the significance of different indoor vertical farming practices under controlled environment with the comparative analysis, efficiency, productivity, advantages and their potential benefits highlighting the need for sustainable agricultural practices that can meet the growing demand for food while minimizing the negative environmental impacts.
{"title":"Future of Smart Farming Techniques: Significance of Urban Vertical Farming Systems Integrated with IoT and Machine Learning","authors":"Jebakumar Rethnaraj","doi":"10.23880/oajar-16000308","DOIUrl":"https://doi.org/10.23880/oajar-16000308","url":null,"abstract":"World population in recent decades has significant impacts on the traditional agricultural systems which has resulted in increased demand for food, land use and deforestation, water scarcity, climate changes but not limited to these impacts. In order to overcome all these issues, there is a need for advanced farming technologies for growing the most demand food crops. Smart farming also known as precision agriculture has evolved which uses the advanced technology to optimize the efficiency and productivity of the farming operations. It involves the integration of various technologies such as IoT sensors, drones, robotics and machine learning technologies, big data analytics to gather data on crop growth, environmental conditions and weather patterns. Vertical framing (VF) is one such precision framing efficient crop growth practices which adapts the integration of Internet of Things (IoT) and machine learning (ML) technologies in easier manner. Since, the vertical farming is completely an indoor farming technique, they do not depend on the particular geographical locations and outdoor growth parameters (like soil) for crop cultivation; hence, vertical farming is also known as controlled environment agriculture. This article explores the significance of different indoor vertical farming practices under controlled environment with the comparative analysis, efficiency, productivity, advantages and their potential benefits highlighting the need for sustainable agricultural practices that can meet the growing demand for food while minimizing the negative environmental impacts.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207960","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}
I am Dr. Philip J. Kamanda, a Sierra Leonean, Ghanaiantrained academic, and lecturer at Njala University in Sierra Leone. In addition, I am a proud and fine alumnus of the University of Cape Coast, Ghana. As a former Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) Graduate Teaching Assistant (GTA) in the Agricultural Economics and Extension Department at the University of Cape Coast, my Ph.D. journey commenced in the 2019/2020 academic year with a two-semester coursework totaling seven courses. After my coursework in my first year of study, I successfully defended my research proposal and left for Sierra Leone in early February 2021 for field data collection
我是Philip J. Kamanda博士，塞拉利昂、加纳培养的学者，塞拉利昂Njala大学讲师。此外，我是加纳海岸角大学的优秀校友。作为海岸角大学农业经济与推广系的前区域大学农业能力建设论坛(RUFORUM)研究生助教(GTA)，我的博士之旅于2019/2020学年开始，为期两个学期，共七门课程。在完成第一年的课程学习后，我成功地完成了我的研究计划，并于2021年2月初前往塞拉利昂进行实地数据收集
{"title":"My Ph.D. Success Story at the University of Cape Coast, Ghana [2019-2023]","authors":"Philip Jimia Kamanda","doi":"10.23880/oajar-16000319","DOIUrl":"https://doi.org/10.23880/oajar-16000319","url":null,"abstract":"I am Dr. Philip J. Kamanda, a Sierra Leonean, Ghanaiantrained academic, and lecturer at Njala University in Sierra Leone. In addition, I am a proud and fine alumnus of the University of Cape Coast, Ghana. As a former Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) Graduate Teaching Assistant (GTA) in the Agricultural Economics and Extension Department at the University of Cape Coast, my Ph.D. journey commenced in the 2019/2020 academic year with a two-semester coursework totaling seven courses. After my coursework in my first year of study, I successfully defended my research proposal and left for Sierra Leone in early February 2021 for field data collection","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207963","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}
The problem of water shortages for rainfed agricultural production is due to low rainfall and uneven distribution throughout the rainy season makes rainfed agriculture a highly risk enterprise. Appropriate farming systems and soil conservation measures are the only opportunity to reduce the high risk of crops yield losses. The aim of this study was to evaluate the effect of three farming systems; Conventional Farming (CF), Conservation Agriculture (CA), and in-field rain Water Harvesting (WH); on the yield and water productivity of sorghum, sesame and cowpea crops. Field experiments were conducted in semi-arid area of Sennar State, Sudan for two consecutive seasons (2015 and 2016). Three different planting machines were used. The CA recorded higher crop yield for sorghum (2594 kg/ha) followed by in-field rainwater Harvesting (WH) which gave 2362 kg/ha, while CF has the lowest crop yield (2072 kg/ha). For the sesame crop the WH gave the highest crop yield (740kg/ ha) followed by CA (718 kg/ha) and the lowest crop yield was obtained by CF (602 kg/ha). The highest cowpea crop yield was obtained by WH (927.kg/ha) followed by CA farming system (847 kg/ha) and the lowest crop yield was obtained by CF (785kg/ha). The CA farming system recorded the highest water productivity for sorghum (1.081 kg/m3) compared to the WH and CF, while the WH farming system recorded the highest water productivity (0.32 and 0.366 kg/m3) for sesame and cowpea respectively compared to the CA and CF. WH is best recommended farming system in semi-arid areas and CA the best recommended practice where annual rainfall is relatively high.
{"title":"Selected Farming Systems for Improving Crop Production and RainWater Productivity in Semi-Arid Zone, Sudan","authors":"Muna M Elhag","doi":"10.23880/oajar-16000315","DOIUrl":"https://doi.org/10.23880/oajar-16000315","url":null,"abstract":"The problem of water shortages for rainfed agricultural production is due to low rainfall and uneven distribution throughout the rainy season makes rainfed agriculture a highly risk enterprise. Appropriate farming systems and soil conservation measures are the only opportunity to reduce the high risk of crops yield losses. The aim of this study was to evaluate the effect of three farming systems; Conventional Farming (CF), Conservation Agriculture (CA), and in-field rain Water Harvesting (WH); on the yield and water productivity of sorghum, sesame and cowpea crops. Field experiments were conducted in semi-arid area of Sennar State, Sudan for two consecutive seasons (2015 and 2016). Three different planting machines were used. The CA recorded higher crop yield for sorghum (2594 kg/ha) followed by in-field rainwater Harvesting (WH) which gave 2362 kg/ha, while CF has the lowest crop yield (2072 kg/ha). For the sesame crop the WH gave the highest crop yield (740kg/ ha) followed by CA (718 kg/ha) and the lowest crop yield was obtained by CF (602 kg/ha). The highest cowpea crop yield was obtained by WH (927.kg/ha) followed by CA farming system (847 kg/ha) and the lowest crop yield was obtained by CF (785kg/ha). The CA farming system recorded the highest water productivity for sorghum (1.081 kg/m3) compared to the WH and CF, while the WH farming system recorded the highest water productivity (0.32 and 0.366 kg/m3) for sesame and cowpea respectively compared to the CA and CF. WH is best recommended farming system in semi-arid areas and CA the best recommended practice where annual rainfall is relatively high.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207961","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}
Accurate diagnosis of crop water shortage and scientific irrigation decisions are crucial. A new method of multi-spectral imaging remote sensing image extraction of tea canopy temperature is proposed, and an automatic processing system of remote sensing thermal imaging images is established. In this short communication, A UAV (Unmanned Aerial Vehicle) with multi-spectral sensors used to capture the images. The research results show that the system can efficiently mosaic images without image gap, and ensure that the soil background is wholly eliminated. This research gives us new methods to set an intelligent method for precision agriculture, which greatly improves the level of agricultural intelligence.
{"title":"Unmanned Aerial Vehicle (UAV) in Precision Agriculture to Identify the Crop Water Shortage by Using Multi-Spectral Sensor","authors":"Wei Li","doi":"10.23880/oajar-16000303","DOIUrl":"https://doi.org/10.23880/oajar-16000303","url":null,"abstract":"Accurate diagnosis of crop water shortage and scientific irrigation decisions are crucial. A new method of multi-spectral imaging remote sensing image extraction of tea canopy temperature is proposed, and an automatic processing system of remote sensing thermal imaging images is established. In this short communication, A UAV (Unmanned Aerial Vehicle) with multi-spectral sensors used to capture the images. The research results show that the system can efficiently mosaic images without image gap, and ensure that the soil background is wholly eliminated. This research gives us new methods to set an intelligent method for precision agriculture, which greatly improves the level of agricultural intelligence.","PeriodicalId":497825,"journal":{"name":"Open access journal of agricultural research","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207965","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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