检索结果-南通市图书馆

Evaluation of Wheat Varietal Performance under Different Nitrogen Sources

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

American Journal of Plant Sciences 2017年第3期8卷 561-573页

作者： aaqil khan Ahmad khan Jincai Li Muhammad Irfan Ahmad Alam Sher Arif Rashid Waqar Ali School of Agronomy Anhui Agricultural University Hefei China Department of Agronomy Faculty of Crop Production Sciences The University of Agriculture Peshawar Pakistan Department of Crop Biotechnology Anhui Agricultural University Hefei China Depatment of Chemistry Bacha Khan University Charsadda Pakistan

Nitrogen fertilization plays a very important role for crop productivity. New developed wheat varieties need proper fertilization for improved crop productivity. The present study was carried out to quantify, the effects of nitrogen derived from urea and FYM on the four newly developed wheat varieties i.e. Siran-2009, Ata Habib, Janbaz-2009 and Pirsabak-2008 for yield improvement, quality and soil fertility status. The N treatments were control, 100% of the recommended nitrogen from urea as well as FYM, and 50% from each source. The experiment was carried out at New Developmental Farm, Khyber Pakhtunkhwa Agricultural University Peshawar Pakistan, during Rabi 2011-2012. Results of the data showed that Janbaz-2009 was more responsive to biological yield (11,011 kg·ha-1), grain yield (4339 kg·ha-1), and nitrogen use efficiency (14.8%), whereas Siran-2010 performed better for grain N contents (2.31%). Plots having both urea and FYM had improved biological yield (11,958 kg·ha-1), and grain yield (4901 kg·ha-1). Urea application had improved straw N contents (0.92%) in addition to Mix application of urea and FYM (0.93%). Mix application of both sources and sole FYM had higher grains N content (2.25%), whereas control plots in addition to mix application had improved nitrogen use efficiency (14.8%). Siran-2010 and Janbaz-2009 performed better in FYM and mix FYM and urea plots for most of the parameters. It was concluded from the experiment that Janbaz-2009 had improved yield and yield components, whereas Siran-2010 had improved the grain N content. Similarly, Mix application of FYM and urea had improved crop productivity, soil fertility and grains as well as straw N content. Thus wheat varieties Janbaz-2009 sown in mix FYM and urea is recommended for general cultivation in agro-climatic condition of Peshawar.

关键词： Wheat (Triticum avestium L.) Yield Urea Farm Yard Manure

Additive effects due to biochar and endophyte application enable soybean to enhance nutrient uptake and modulate nutritional parameters

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2017年第2期18卷 109-124页

作者： Muhammad WAQAS Yoon-Ha KIM Abdul Latif khan Raheem SHAHZAD Sajjad ASAF Muhammad HAMAYUN Sang-Mo KANG Muhammad aaqil khan In-Jung LEE School of Applied Biosciences Kyungpook National University Daegu 702-701 Korea Department of Agriculture Abdul Wali Khan University Mardan Mardan 23200 Pakistan Division of Plant Sciences University of Missouri Columbia MO 65211 USA UoN Chair of Oman＇s Medicinal Plants ＆ Marine Natural Products University of Nizwa Nizwa 616 Oman Department of Botany Abdul Wali Khan University Mardan Mardan 23200 Pakistan

We studied the effects of hardwood-derived biochar（BC） and the phytohormone-producing endophyte Galactomyces geotrichum WLL1 in soybean（Glycine max（L.） Merr.） with respect to basic, macro- and micronutrient uptakes and assimilations, and their subsequent effects on the regulation of functional amino acids, isoflavones, fatty acid composition, total sugar contents, total phenolic contents, and 1,1-diphenyl-2-picrylhydrazyl（DPPH）-scavenging activity. The assimilation of basic nutrients such as nitrogen was up-regulated, leaving carbon, oxygen, and hydrogen unaffected in BC＋G. geotrichum-treated soybean plants. In comparison, the uptakes of macro- and micronutrients fluctuated in the individual or co-application of BC and G. geotrichum in soybean plant organs and rhizospheric substrate. Moreover, the same attribute was recorded for the regulation of functional amino acids, isoflavones, fatty acid composition, total sugar contents, total phenolic contents, and DPPH-scavenging activity. Collectively, these results showed that BC＋G. geotrichum-treated soybean yielded better results than did the plants treated with individual applications. It was concluded that BC is an additional nutriment source and that the G. geotrichum acts as a plant biostimulating source and the effects of both are additive towards plant growth promotion. Strategies involving the incorporation of BC and endophytic symbiosis may help achieve eco-friendly agricultural production, thus reducing the excessive use of chemical agents.

关键词： Phytohormone-producing endophytic fungi Nutrients uptake Assimilation Nutritional quality Soybean

Inoculation of Chlorella and Food Waste Improves the Physio-Morphological Features of Red Pepper by Regulating Activating Antioxidant Defense System

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Phyton-International Journal of Experimental Botany 2023年第9期92卷 2699-2711页

作者： Sang-Mo Kang Shifa Shaffique Muhammad Imran Su-Mi Jeon Shabir Hussain Wani Muhammad aaqil khan Peter Odongkara Eun-Hae Kwon Yosep Kang Joon-Ik Son Won-Chan Kim In-Jung Lee Department of Applied Biosciences Kyungpook National UniversityDaegu41566Korea Biosafety Division National Institute of Agriculture ScienceRural Development AdministrationJeonju54874Korea Department of Technical Support Daegu City Agricultural Technology CenterDaegu41159Korea Department of Chemical and Life Sciences Qurtuba University of Science and Information TechnologyPeshawarPakistan Mountain Research for Field Crops Khudwani Shere-e-Kashmir University of Agriculture Sciences and Technology SrinagarJamu and KashmirIndia Corporate Affiliated Research Institute Seyen Co.Ltd.Kyungsan38561Korea

Food waste is recognized as a valuable source for potential agricultural applications to supply organic matter and nutrients to arable ***,the information on the combined application of food waste and the plant growth-promoting bacterial strain,Chlorella,related to plant metabolic features and sodium chloride content in arable soil is *** present study was conducted to investigate the exogenous application of food waste along with Chlorella,which improved the physio-morphological features of red *** results revealed that this combination enhanced the organic matter in the soil,ultimately improving the fertility rate of the soil,and the physio-morphological features,such as chlorophyll a content(24.5±0.7),root(7.8±0.7)cm and shoot length(12.1±0.7)cm,fresh weight(2.1±0.05)g,dry weight(0.19±0.05)g,mineral contents,and hormonal concentration(ABA by up to 2 folds).The combined treatment also minimized free radicals via the activation of the intrinsic antioxidant series cascade and electrolyte *** findings showed that adding Chlorella and food wastes improved growth characteristics and can be used as a green bio-fertilizer for sustainable agriculture.

关键词： Food waste Chlorella hormone antioxidant

Significance of Chemical Priming on Yield and Yield Components of Wheat under Drought Stress

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

American Journal of Plant Sciences 2017年第6期8卷 1339-1344页

作者： Alam Sher aaqil khan Sajid Hussain Li Jin Cai Muhammad Irfan Ahmad Sikandar Ali Jamro Arif Rashid Anhui Agricultural University School of Agronomy Hefei China Ayub Agricultural Research Institute Faisalabad Pakistan College of Agriculture BZU Bahadur Sub Campus Layyah Pakistan Department of Crop Biotechnology Anhui Agricultural University Hefei China

Drought is the most important factor limiting plant production in the majority of agricultural crops of the world. Wheat is generally grown on arid-agricultural fields. An experiment was conducted at the Plant physiology research area, Agronomic Research Institute Faisalabad, during winter 2010-11 to evaluate the effect of drought on wheat variety Lasani 2008. The experiment was comprised of following treatments. T1 Normal moisture (3 IR at CRS, Booting and grain filling), T2 No irrigation (only rainfed) control, T3 water spray (100 ppm), T4 ascorbic acid (100 ppm), T5 salicylic acid (100 ppm), T6 calcium chloride (100 ppm), T7 glycinbetain (100 ppm). According to the resulting data the treatment in which three irrigation were applied produced more no. of tillers (52%), spikelet per spike (41%), spike length (30%), grain per spike (58%), grain yield (54%), biological yield (35%) as compared to control. The treatment in which no irrigation was applied produced less no. of tillers, spikelet per spike, spike length, grain per spike, grain yield, biological yield. Thousand grain weight and harvest index were non significant among all treatments.

关键词： Wheat Hormonal Priming Drought Ascorbic Acid Salicylic Acid Calcium Chloride Glycinbetain

OILCROP-SUN Model for Nitrogen Management of Diverse Sunflower (<i>Helianthus annus</i>L.) Hybrids Production under Agro-Climatic Conditions of Sargodha, Pakistan

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

American Journal of Plant Sciences 2017年第3期8卷 412-427页

作者： Muhammad Irfan Ahmad Amjed Ali aaqil khan Sikandar Ali Jamro Alam Sher Shafeeq-ur Rahman Arif Rashid University College of Agriculture University of Sargodha Sargodha Pakistan School of Agronomy Anhui Agricultural University Hefei China Soil Fertility Laboratory University of Agriculture Faisalabad Faisalabad Pakistan Department of Crop Biotechnology Anhui Agricultural University Hefei China

Decision support system for agro-technology transfer (DSSAT), OIL CROP-SUN Model was used to stimulate the phenology, growth, yield of different two sunflower hybrids. i.e. Hysun-33 and S-78 by applying different nitrogen levels. The effect of nitrogen (N) on growth and yield components of different sunflower (Helianthus annuus L.) hybrids were evaluated under agro-climatic conditions of Sargodha, Pakistan during spring 2013. The experiment was laid out in a randomized complete block design with split plot arrangement having three replications, keeping cultivars in the main plots and nitrogen levels (0, 45, 90,135 and 180 kg/ha) in sub plots. OIL CROP-SUN Model showed that the model was able to simulate the growth and yield of sunflower with an average of 10.44 error% between observed and simulate achene yield (AY). The result of simulation indicates that nitrogen rate of 180 kg/ha produced highest achene yield in S-78 hybrid as compared to other treatments and Hysun-33 cultivar.

关键词： Decision Support System for Agro-Technology Transfer Sunflower Nitrogen Achene Yield Crop Modeling

Nitrogen Management of Diverse Sunflower (<i>Helianthus annus</i>L.) Hybrids Production under Agro-Climatic Conditions of Sargodha, Pakistan

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

American Journal of Plant Sciences 2017年第6期8卷 1357-1367页

作者： Muhammad Irfan Ahmad Amjed Ali aaqil khan Alam Sher Arif Rashid Sikandar Ali Jamro Shafeeq ur-Rahman Saboor Ahmad School of Agronomy Anhui Agricultural University Hefei China University College of Agriculture University of Sargodha Sargodha Pakistan Department of Crop Biotechnology Anhui Agricultural University Hefei China Chinese Academy of Agricultural Sciences Agriculture Water and Soil Environment Field Science Research Station of Xinxiang Xinxiang China Public Health Pest Laboratory (PHPL) of Jeddah Governorate Jeddah KSA

A field study was carried out with the objective to determine the effect of various levels of nitrogen on growth, development, yield and yield components of different sunflower (Helianthus annuus L.) hybrids i.e. Hysun-33 and S-78 were evaluated under agro-climatic conditions of Sargodha, Pakistan during spring 2013. The experiment was laid out in a randomized complete block design with split plot arrangement having three replications, keeping cultivars in the main plots and N levels in the subplots. The net plot size was 4.2 m × 6 m. The growth parameters such are leaf area, leaf area duration and yield parameters were observed are Days to a thesis, Days to maturity, head diameter (cm), No. of achene’s per head, Achene yield (kg·ha-1) and total dry matter (kg). The results showed that increasing the nitrogen rate also increased the No. of achene’s per head, Achene yield (kg·ha-1) and total dry matter (kg) in S-78 hybrid where the nitrogen application rate was 180 kg·ha-1 as compared to Hysun-33 cultivar.

关键词： Sunflower Nitrogen Growth and Yield

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

我国黄精种质资源研究进展

江苏农业科学 2021年第11期49卷 35-39页

作者：崔阔澍肖特李慧萍 aaqil khan George Bawa 陈国鹏彭腾李斌杨文钰郑本川吴茂力詹志来四川省农业技术推广总站四川成都610041 四川农业大学农学院/农业部西南作物生理生态与耕作重点实验室四川成都611130 四川省中医药科学院四川成都610041 成都中医药大学四川成都611137 四川省农业科学院作物研究所四川成都610066 四川省原子能研究院四川成都6100666 中国中医科学院中药资源中心北京100700

黄精是我国传统名贵中药,也是传统药食同源药材,种植和药用历史悠久,不仅具有补气养阴、健润脾肺、益肾之功效,在食品、保健品、观赏、化妆品等方面也有应用价值。全国各地黄精资源品种繁多,容易混杂,2015年版《中华人民共和国药典》中... 详细信息

黄精是我国传统名贵中药,也是传统药食同源药材,种植和药用历史悠久,不仅具有补气养阴、健润脾肺、益肾之功效,在食品、保健品、观赏、化妆品等方面也有应用价值。全国各地黄精资源品种繁多,容易混杂,2015年版《中华人民共和国药典》中记载药用黄精有3种。为可持续利用并充分开发黄精药材资源,通过考证相关资料,对黄精资源分布、种质鉴定、遗传多样性、育种研究等进行整理研究,可为黄精属植物良种选育、人工栽培及潜在黄精资源开发利用、解决黄精市场供需矛盾等提供参考依据。

关键词：黄精种质鉴定新资源遗传多样性育种

Research Progress of Polygonatum Germplasm Resources in China

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Agricultural Biotechnology 2021年第5期10卷 39-44页

作者： Kuoshu CUI Te XIAO Huiping LI aaqil khan George BAWA Guopeng CHEN Teng PENG Bin LI Wenyu YANG Benchuan ZHENG Maoli WU Zhilai ZHAN Sichuan Agricultural Technology Extension Station Chengdu 610041China College of Agronomy Sichuan Agricultural University/Key Laboratory of Crop PhysiologyEcology and Cultivation in Southwest ChinaMinistry of AgricultureChengdu 611130China Sichuan Academy of Traditional Chinese Medicine Chengdu 610041China Chengdu University of TCM Chengdu 611137China Crop Research Institute Sichuan Academy of Agricultural SciencesChengdu 610066China Sichuan Institute of Atomic Energy Chengdu 6100666China Chinese Medicine Resource Center China Academy of Chinese Medical SciencesBeijing 10070China

Polygonatum is a traditional and precious Chinese medicine in China,as well as a traditional medicinal and food homologous *** has a long history of cultivation and medicinal *** not only has the effects of boosting qi and nourishing yin,nourishing the spleen and lungs,and tonifying the kidney,but also application value in food,health products,ornamental,cosmetics,*** are many varieties of Polygonatum resources all over China,which are easy to be *** are three species of medicinal Polygonatum recorded in the 2015 edition of Pharmacopeia of the People s Republic of *** order to sustainably use and fully develop Polygonatum medicinal resources,we conducted textual research on relevant data and research on the distribution of Polygonatum resources,germplasm identification,genetic diversity and breeding research,so as to provide a reference for the selection and breeding of polygonatum,artificial cultivation and the development and utilization of potential Polygonatum resources and for the solution of the contradiction between supply and demand in the Polygonatum market.

关键词： Polygonatum Germplasm identification New resources Genetic diversity Breeding

Sentiment Analysis of Low-Resource Language Literature Using Data Processing and Deep Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第4期79卷 713-733页

作者： Aizaz Ali Maqbool khan Khalil khan Rehan Ullah khan Abdulrahman Aloraini Department of IT and Computer Science Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyHaripur22620Pakistan Software Competence Center Hagenberg Softwarepark 32aHagenberg4232Austria Department of Computer Science School of Engineering and Digital SciencesNazarbayev UniversityAstana010000Kazakhstan Department of Information Technology College of ComputerQassim UniversityP.O.Box 1162BuraydahSaudi Arabia

Sentiment analysis, a crucial task in discerning emotional tones within the text, plays a pivotal role in understandingpublic opinion and user sentiment across diverse *** numerous scholars conduct sentiment analysisin widely spoken languages such as English, Chinese, Arabic, Roman Arabic, and more, we come to grapplingwith resource-poor languages like Urdu literature which becomes a challenge. Urdu is a uniquely crafted language,characterized by a script that amalgamates elements from diverse languages, including Arabic, Parsi, Pashtu,Turkish, Punjabi, Saraiki, and more. As Urdu literature, characterized by distinct character sets and linguisticfeatures, presents an additional hurdle due to the lack of accessible datasets, rendering sentiment analysis aformidable undertaking. The limited availability of resources has fueled increased interest among researchers,prompting a deeper exploration into Urdu sentiment analysis. This research is dedicated to Urdu languagesentiment analysis, employing sophisticated deep learning models on an extensive dataset categorized into fivelabels: Positive, Negative, Neutral, Mixed, and Ambiguous. The primary objective is to discern sentiments andemotions within the Urdu language, despite the absence of well-curated datasets. To tackle this challenge, theinitial step involves the creation of a comprehensive Urdu dataset by aggregating data from various sources such asnewspapers, articles, and socialmedia comments. Subsequent to this data collection, a thorough process of cleaningand preprocessing is implemented to ensure the quality of the data. The study leverages two well-known deeplearningmodels, namely Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), for bothtraining and evaluating sentiment analysis performance. Additionally, the study explores hyperparameter tuning tooptimize the models’ efficacy. Evaluation metrics such as precision, recall, and the F1-score are employed to assessthe effectiv

关键词： Urdu sentiment analysis convolutional neural networks recurrent neural network deep learning natural language processing neural networks