Journal of Agricultural Science and Technology B最新文献

Differential Response of Some Bread Wheat (Triticum aestivum L.) Genotypes for Yield and Vegetative Traits under Optimum and Late Sowing Dates 几种面包小麦(Triticum aestivum L.)的差异响应适播期和晚播期产量和营养性状的基因型

Journal of Agricultural Science and Technology B Pub Date : 2023-02-28 DOI: 10.17265/2161-6264/2023.01.002

H. E. Dessougi, A. Abdelmula, S. Gasim, W. A. Babiker

{"title":"Differential Response of Some Bread Wheat (Triticum aestivum L.) Genotypes for Yield and Vegetative Traits under Optimum and Late Sowing Dates","authors":"H. E. Dessougi, A. Abdelmula, S. Gasim, W. A. Babiker","doi":"10.17265/2161-6264/2023.01.002","DOIUrl":"https://doi.org/10.17265/2161-6264/2023.01.002","url":null,"abstract":": This research aimed at studying the effect of late sowing on the vegetative growth and yield of twelve genotypes of bread wheat ( Triticum aestivum L.). An experiment was carried out in 2012/2013 using two sowing dates: 28th of November (reference) and 27th of December (late) at two locations (Shambat Demonstration Farm, Faculty of Agriculture University of Khartoum and Hudeiba Research Station). The experimental design was a split-plot with three replications. The results showed that late sowing significantly affected most of the vegetative characters. The results showed significant differences ( p ≤ 0.05) among genotypes for vegetative growth and yield at both locations. The interaction of sowing date and wheat genotypes was significant ( p ≤ 0.05) for 50% booting, 50% anthesis, 95% maturity, leaf area index and grain yield. Under reference sowing date total yield was 2.21 tons/ha and under late sowing it was 1.43 tons/ha with a reduction of about 35%. The genotypes exhibited large variation in their response to heat stress imposed at late sowing indicating the possibility of improving this trait genetically. Genotype 56 was the earliest in maturity at both locations; therefore, it can be tested for cultivation south of Khartoum.","PeriodicalId":312861,"journal":{"name":"Journal of Agricultural Science and Technology B","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116162397","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}

引用次数: 0

Spray Prediction Model for Aonla Rust Disease Using Machine Learning Techniques 基于机器学习技术的青霉锈病喷雾预测模型

Journal of Agricultural Science and Technology B Pub Date : 2023-02-28 DOI: 10.17265/2161-6264/2023.01.001

H. K. Singh, B. Pratap, S. Maheshwari, Ayushi Gupta, A. Chug, Ashutosh Kumar Singh, Dinesh Singh

{"title":"Spray Prediction Model for Aonla Rust Disease Using Machine Learning Techniques","authors":"H. K. Singh, B. Pratap, S. Maheshwari, Ayushi Gupta, A. Chug, Ashutosh Kumar Singh, Dinesh Singh","doi":"10.17265/2161-6264/2023.01.001","DOIUrl":"https://doi.org/10.17265/2161-6264/2023.01.001","url":null,"abstract":": Disease prediction in plants has acquired much attention in recent years. Meteorological factors such as: temperature, relative humidity, rainfall, sunshine play an important role in a plan’s growth only if they are present in adequate amounts as required by the plant. On the other hand, if the factors are inadequate, they may also support the growth of a disease in the plants. The current study focuses on the Rust disease in Aonla fruits and leaves by utilizing a real time dataset of weather parameters. Fifteen different models are tested for spray prediction on conducive days. Two resampling techniques, random over sampling (ROS) and synthetic minority oversampling technique (SMOTE) have been used to balance the dataset and five different classifiers: support vector machine (SVM), logistic regression (LR), k-nearest neighbor (kNN), decision tree (DT) and random forest (RF) have been used to classify a particular day based on weather conditions as conducive or non-conducive. The classifiers are then evaluated based on four performance metrics: accuracy, precision, recall and F1-score. The results indicate that for imbalanced dataset, kNN is appropriate with high precision and recall values. Considering both balanced and imbalanced dataset models, the proposed model SMOTE-RF performs best among all models with 94.6% accuracy and can be used in a real time application for spray prediction. Hence, timely fungicide spray prediction without over spraying will help in better productivity and will prevent the yield loss due to rust disease in Aonla crop.","PeriodicalId":312861,"journal":{"name":"Journal of Agricultural Science and Technology B","volume":"637 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125299852","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}

引用次数: 0

Economic Analysis of the Use of Restrictive Food Management in the Cultivation of Tilapia (Oreochromis niloticus) in a Recirculation System 循环水系统养殖罗非鱼采用限制性食品管理的经济分析

Journal of Agricultural Science and Technology B Pub Date : 2022-04-28 DOI: 10.17265/2161-6264/2022.02.001

Giovanni Resende de Oliveira, Thiago Archangelo Freato, Juan Daniel Villacis Fajardo, Tainára Cunha Gemaque, Nancy Andrea Villacis Fajardo, Daniel Pereira da Costa

引用次数: 1

Electrophoresis (SDS-PAGE) as a Method for Screening Species of Passiflora Using Seed Proteins as Molecular Markers 以西番莲种子蛋白为分子标记筛选西番莲品种的SDS-PAGE电泳方法

Journal of Agricultural Science and Technology B Pub Date : 2022-04-28 DOI: 10.17265/2161-6264/2022.02.002

Marilia Penteado Stephan, Ana Maria Costa, Tatiana De Lima, Azevedo, Jeane Santos Da Rosa, Alexsandro Araújo dos Santos

引用次数: 1

Impact of Climate Change on Diseases of Crops and Their Management—A Review 气候变化对作物病害的影响及其防治研究进展

Journal of Agricultural Science and Technology B Pub Date : 2022-02-28 DOI: 10.17265/2161-6264/2022.01.001

Manish Kumar Maurya, Vikash Kumar Yadav, Sumant Pratap Singh, Rajender Jatoth, Hemant Kumar Singh, Dinesh Singh

引用次数: 1

Assessing the Impact of Different Cropping Systems in Maize Field Infested by Striga asiatica (Madagascar) 不同种植制度对亚洲曲线虫侵染玉米田的影响评价

Journal of Agricultural Science and Technology B Pub Date : 2022-02-28 DOI: 10.17265/2161-6264/2022.01.003

Mbolatiana Alinà Razafindrasoa, Berthe Rasoamampionona, Christien Razafindraibe, Isabelle Ratsimiala Ramonta, Norinirina Victorine Rakotoarisoa, Alice Andrianjaka

引用次数: 0

Groundwater Quality Assessment in Rural Areas of Caapiranga City in Brazilian Amazon 巴西亚马逊河流域Caapiranga市农村地区地下水质量评价

Journal of Agricultural Science and Technology B Pub Date : 2022-02-28 DOI: 10.17265/2161-6264/2022.01.002

Juan Daniel Villacis Fajardo, Tainára Cunha Gemaque, Giovanni Resende de Oliveira, Thiago Archangelo Freato, Nancy Andrea Villacis Fajardo, Daniel Pereira da Costa

引用次数: 0

Nitrogen Metabolising Enzymes and Photosynthetic Pigments as Influenced by Nitrogen Application in Oilseed Rape (Brassica napus L.) 施氮对油菜氮素代谢酶和光合色素的影响

Journal of Agricultural Science and Technology B Pub Date : 2021-06-28 DOI: 10.17265/2161-6264/2021.03.001

Nimrat Kaur Gill, Pushp Sharma, Virender Sardana

引用次数: 0

On Farm Demonstration, Testing and Evaluation of Maize Sheller in Meru County 梅鲁县玉米脱壳农作示范、试验与评价

Journal of Agricultural Science and Technology B Pub Date : 2021-06-28 DOI: 10.17265/2161-6264/2021.03.004

Richard Njue, Noah Wawire

引用次数: 0

Improvement of Bio-Efficacy to Reduce Bacterial Wilt Complex Disease in Tomatoes through Bacillus amyloliquefaciens and Pseudomonas fluorescens under Field Conditions 利用解淀粉芽孢杆菌和荧光假单胞菌田间防治番茄青枯病的生物药效研究

Journal of Agricultural Science and Technology B Pub Date : 2021-06-28 DOI: 10.17265/2161-6264/2021.03.002

Dinesh Singh, Dhananajay Kumar Yadav, Harender Kumar Sharma, Garima Chaudhary

引用次数: 1