Agricultural Research Projects Research Articles

Science Mapping of Meta-Analysis in Agricultural Science

As a powerful statistical method, meta-analysis has been applied increasingly in agricultural science with remarkable progress. However, meta-analysis research reports in the agricultural discipline still need to be systematically combed. Scientometrics is often used to quantitatively analyze research on certain themes. In this study, the literature from a 30-year period (1992–2021) was retrieved based on the Web of Science database, and a quantitative analysis was performed using the VOSviewer and CiteSpace visual analysis software packages. The objective of this study was to investigate the current application of meta-analysis in agricultural sciences, the latest research hotspots, and trends, and to identify influential authors, research institutions, countries, articles, and journal sources. Over the past 30 years, the volume of the meta-analysis literature in agriculture has increased rapidly. We identified the top three authors (Sauvant D, Kebreab E, and Huhtanen P), the top three contributing organizations (Chinese Academy of Sciences, National Institute for Agricultural Research, and Northwest A&F University), and top three productive countries (the USA, China, and France). Keyword cluster analysis shows that the meta-analysis research in agricultural sciences falls into four categories: climate change, crop yield, soil, and animal husbandry. Jeffrey (2011) is the most influential and cited research paper, with the highest utilization rate for the Journal of Dairy Science. This paper objectively evaluates the development of meta-analysis in the agricultural sciences using bibliometrics analysis, grasps the development frontier of agricultural research, and provides insights into the future of related research in the agricultural sciences.

Suggestion Patron to Diffusion Evaluation the Fodder Agricultural Technologies in Ninevah Province

The research aims to Suggestion Patron to diffusion evaluation The Fodder agricultural technologies in Ninevah Province, also identify some of the domains which related with The Fodder Agricultural technologies. also identify the obstacles which prevent diffusion of these agr. technologies. And to achieve these aims many studies have been reed. The research community was about Ninevah Province. The most important results were : Suggestion Patron to diffusion Evaluation The Fodder Agricultural technologies in Ninevah Province, and the obstacles have been determined such as : Lack of correlation between fodder agr. Extension work and agricultural scientific research also gap of the concentration on the specific training to the producers about the fodder agriculture advisers also gap of the finance for research, and this research reached to some recommendations & proposals

Effect of potassium humate spray on some biochemical characteristics in potato leaves Solanum tuberosum under water stress conditions

  The research was carried out at Al-Hanadi Research Station - Lattakia Agricultural Scientific Research Center, during spring season 2020 .To experience the effect of different potassium humate levels 500,1000,1500 ppm  as a foliar spray on potato leaves variety Spunta , at 40 and 80% of field capacity humidity . The research involved four treatments with 3 replicates   at each irrigation level. A Completely Randomized design was used. Plants were sprayed with potassium humate HA three times, with an interval of ten days after 35 days of planting. The results showed that water stress caused an increase in total soluble sugars, proline content and catalase activity in Spunta potato leaves, but total chlorophyll content was decreased. Potassium humate treatments improved biochemical parameters at 40% of field capacity. Potassium humate 1000 ppm treatment  increased significantly  total chlorophyll content 0.142 mmol/mg, and total soluble sugars 1.67mg/g  in  Spunta leaves ,while 1500 ppm treatment  increased significantly proline content 45.65 ppm  and catalase activity  0.04 mg/g  at the same  level 40% . Also, at 80% of field capacity, potassium humate 1000 ppm increased the total chlorophyll content 0.140 mmol/mg and proline content in potato leaves 11.63 ppm. Thus, potassium humate can be applied at a concentration 1000 and 1500 ppm to enhance the efficiency of potato plant Spunta tolerance under water shortage conditions.

Review on Chinese agricultural science and technology research from a low-carbon economy perspective: hotspots, evolution, and frontiers

Against the background of global climate change, agricultural science and technology play a vital role in achieving a low-carbon economy and sustainable development. Based on the research data of agricultural science and technology in Web of Science and China National Knowledge Infrastructure, adopting the bibliometric method, a knowledge graph was drawn using CiteSpace software; this paper analyzes the hotspot distribution, structural relationship and evolution process context while also comparing the difference between China and abroad from 1998 to 2023. The results indicate that existing research is mainly distributed in the following core modules, namely, agricultural science and technology, industrialization, modern agriculture, low-carbon agriculture, etc. The evolution of the research context features three stages: the traditional agricultural, current agricultural, and high-quality agricultural stages respectively. Research in China and abroad demonstrates both overlaps and differences in terms of knowledge structure, and such differences are related mainly to the concept of low-carbon agriculture, a variety of research perspectives, and the agricultural science and technology system. To expand the knowledge structure, deepening the research on, respectively, the evaluation and measurement of agrarian carbon footprint, micro-production entities, and strengthening international agricultural science and technology cooperation are innovative directions for future studies. This article systematically reviews agricultural scientific research from the perspective of a low-carbon economy, providing a reference point for the green and low-carbon transformation of agriculture in every country.

Development Status and Countermeasures of Agricultural Mechanization in Hilly Mountainous Areas of Yulin

During the "14th Five-Year Plan," Yulin's agricultural mechanization developed rapidly, hilly mountain agricultural production gradually from animal power-based to rely on mechanical power transformation. However, due to the restriction of natural conditions and development basis, there are still problems such as unbalanced development of agricultural machinery and equipment, imperfect service system of agricultural mechanization, the small scale of agro-machinery industry and insufficient input of agricultural scientific research in Yulin. In view of this, put forward the policy suggestions to promote the development of agricultural mechanization in Yulin: improve the effectiveness of infrastructure construction, strengthen the innovation of agricultural science and technology, construct the modern agricultural management system, increase the investment of agricultural machinery scientific research and other countermeasures.

تأثير نوع السماد الآزوتي في نمو وإنتاجية صنفين من الذرة الصفراء مزروعين في تربة كلسية

الملخص أجري البحث في محطة بحوث ستخيرس التابعة لمركز البحوث العلمية الزراعية في اللاذقية-سوريا لعام 2020، لدراسة تأثير نوعين من الاسمدة الآزوتية وهما سلفات الأمونيوم [SO4(NH4)2] ونترات البوتاسيوم [KNO3]) على معايير النمو والإنتاجية لصنفين من الذرة الصفراء (صنف دينا F1 وصنف فيحاء) المزروعين في تربة كلسية بالإضافة لمعاملة الشاهد بدون اضافة للآزوت وبمعدل ثلاث مكررات لكل معاملة، حيث صممت التجربة بنظام تصميم القطع المنشقة (Split Plots)؛ وبلغ عدد القطع التجريبية 18 قطعة. أظهرت النتائج تفوق الصنف دينا F1 (صنف أجنبي) على الصنف فيحاء (صنف محلي) من حيث ارتفاع النبات وخلال مراحل النمو المختلفة وأيضا في متوسط الانتاجية. وأن التسميد الآزوتي قد أثر في الصفات المدروسة بشكل معنوي حيث تفوقت معاملة سلفات الأمونيوم على باقي المعاملات في ارتفاع النباتات والوزن الجاف وكذلك في متوسط الإنتاجية للعرانيس الطازجة. كما بينت نتائجنا أن أعلى إنتاجية للعرانيس كانت في معاملة سلفات الأمونيوم والصنف دينا F1 وقد بلغت الإنتاجية 14.04 طن/هـ. The research was conducted at Stekhris Research Station affiliated to the Agricultural Scientific Research Center in Lattakia - Syria for the year 2020, to study the effect of two types of nitrogen fertilizers (ammonium sulfate [NH4)2SO4] and potassium nitrate [KNO3]) on the growth and productivity parameters of two cultivars of yellow corn (Dina cultivar F1 and Fayhaa cultivars) grown in calcareous soil. In addition to the control treatment without the addition of nitrogen, at a rate of three replications for each treatment, as the experiment was designed with a Split Plots system and the number of experimental plots was 18 Plot. The results showed the superiority of the cultivar Dina F1 (a foreign variety) over the cultivar Fayhaa (a local variety) in terms of plant height and during the different stages of growth as well as in average productivity. Moreover, the nitrogen fertilization had a significant effect on the studied traits, as the ammonium sulfate treatment was superior to the rest of the treatments in plant height and dry weight, as well as in the average productivity of fresh earwigs. Our results also showed that the highest yield of marigolds was in ammonium sulphate treatment and Dina F1, with productivity reaching (14.04) tons/ha.

Genetic studies in pearl millet (Pennisetum glaucum L.)

The present investigation on “Studies on heterosis for yield and its components in pearl millet (Pennisetum glaucum L.)” was conducted during Kharif-2020, at Department of Agriculture Botany, Vasantrao Naik Krishi Vidyapeeth, Parbhani, National Agricultural Research Project, Aurangabad and College of Agriculture, Golegaon. The experimental material included in the present study comprised of five females (lines) and twelve restorers (testers) and sixty crosses. The experimental material was evaluated for twelve characters viz; days to 50% flowering, days to maturity, earhead length (cm), earhead girth(cm), number of nodes per plant, plant height(cm), total number of tillers per plant, number of effective tillers per plant, Fe content (ppm), Zn content (ppm), grain yield per plant (g) and grain yield per hectare (kg). The hybrids 02888A x 15006R, 02333A x 15006R, 00444A x 15351R, 99111A x 15020R and 99111A x 15713R exhibited high mean values for grain yield per plant and highly significant specific combining ability effects and wider adaptation across the environments. These hybrids could be utilized to exploit heterosis for grain yield. The hybrids 00444A x 15351R, 99111A x 15020R, 00111A x 15713R and 02888A x 15392R were found early for days to maturity. The hybrids 02888A x 15006R, 00444A x 15351R and 02333A x 15351R were found to contain high Fe content, whereas 99111A x 15020R, 02333A x 15351R and 02333A x 15020R had high Zn content.

Gene action studies in pearl millet (Pennisetum glaucum L.)

The present investigation on “Studies on heterosis for yield and its components in pearl millet (Pennisetum glaucum L.)” was conducted during Kharif-2020, at Department of Agriculture Botany, Vasantrao Naik Krishi Vidyapeeth, Parbhani, National Agricultural Research Project, Aurangabad and College of Agriculture, Golegaon. The experimental material included in the present study comprised of five females (lines) and twelve restorers (testers) and sixty crosses. The experimental material was evaluated for twelve characters viz., days to 50% flowering, days to maturity, earhead length (cm), earhead girth (cm), number of nodes per plant, plant height (cm), total number of tillers per plant, number of effective tillers per plant, Fe content (ppm), Zn content (ppm), grain yield per plant (g) and grain yield per hectare (kg). The range of heterobeltiosis was from -33.13 % to 78.20 %. In case of heterobeltiosis, twenty-two crosses showed positive significant heterobeltiosis for grain yield per plant. The cross 02888 X 15006R displayed highly significant standard heterosis over AHB 1200 (43.45 %), AHB 1666 (72.14 %) and Dhanshakti (68.53 %). The standard heterosis for grain yield per plant ranged from -36.31 % to 72.14 %. The other crosses having highly significant and positive standard heterosis were 99111A X 15713R (41.07 %, 69.29 % and 65.73 % over standard check AHB 1200, AHB 1666 and Dhanshakti), 99111A X 15020R (39.29 %, 67.14 % and 63.64 % over standard check AHB 1200, AHB 1666 and Dhanshakti), 02333A X 15183R(36.31 %, 63.57 % and 60.14 % over standard check AHB 1200, AHB 1666 and Dhanshakti) and 02333A X 15351R (37.50%, 65.00 % and 61.54 % over standard check AHB 1200, AHB 1666 and Dhanshakti).

Data pipeline for managing field experiments

As agricultural and environmental research projects become more complex, increasingly with multiple outcomes, the demand for technical support with experiment management and data handling has also increased. Interactive visualisation solutions are user-friendly and provide direct information to facilitate decision making with timely data interpretation. Existing off-the-shelf tools can be expensive and require a specialist to conduct the development of visualisation solutions. We used open-source software to develop a customised near real-time interactive dashboard system to support science experiment decision making. Our customisation allowed for:• Digitalised domain knowledge via open-source solutions to develop decision support systems.• Automated workflow that only executed the necessary components.• Modularised solutions for low maintenance cost and upgrades.

Development of high-tech agricultural production in Ukraine

Purpose. Given the global technological trends, identify conceptual approaches to technical and technological modernization of the agricultural production as a key element of sustainable development of the real sector of the economy of Ukraine and strategic directions of agricultural science research. Methods. Monographic, system analysis, abstract and logical. Results. It has been established that in the conditions of global climatic changes, the basis of the formation of highly automated agriculture will be flexible ecologically oriented technological processes in agricultural production, built on fundamentally new technical and technological foundations, namely: intellectualization, digitalization, complex automation and robotization. The concept of development of high-tech agricultural production of Ukraine has been developed based on the principles of sustainable development and the innovative concept “Industry 4.0”, which will ensure high and sustainable economic growth of the agricultural sector, the development of domestic agricultural machinery and related sectors of the economy. Strategic tasks for agricultural science on the development of the technical and technological base of highly automated agricultural production are identified. Conclusions. The study of modern trends in the development of the economies of advanced countries and their effectiveness give grounds for asserting that the specified strategic directions of technical and technological modernization of the agricultural sector will be the basis for the formation of an effective model for the development of high-tech agricultural climate-oriented production in Ukraine. Keywords: climate change, high-tech production, agriculture, technology, intellectualization, automation, mechanical engineering.

Analysis of The Transformation in Pinduoduo Based on SWOT Model and 4C Marketing Theory

With the rapid development of the Internet in China, the competition in the field of e-commerce is becoming more and more fierce. Under the impact of economic expansion and COVID-19, it is no longer feasible for e-commerce platforms maintain their original competitive strategies. In this context, how to fully grasp the advantages of existing competitive strategies and take advantage of the opportunities brought by the external environment has become an important task for the sustainable development of e-commerce platforms. Under this background, Pinduoduo actively responds to the impact of the epidemic and changes in the economic environment, makes full use of its advantages in the low-end market and unique social marketing strategies, and gradually puts its marketing focus on the investment in agricultural scientific research to adapt to the changes in the e-commerce market and consumer behaviour at the present stage. Guided by the 4C marketing theory, this paper studies consumer habits from the four directions of consumer, cost, convenience and communication. Then the SWOT analysis was applied to study the internal and external environment of Pinduoduo agriculture and community group buying business transformation. The analysis results showed that Pinduoduo has some deficiencies in its transformation. Next, in view of the shortcomings in the transformation, combined with the existing literature and relevant materials, this study put forward optimization suggestions from the four directions of consumer, cost, convenience and communication.

Disrupting Patterns at the End of an Agricultural Research Project: Experiences with Community Cinema and Participatory Video

This paper documents efforts to support a feedback and sharing process using Community Cinema and Participatory Video (PV), in the context of ending a five-year agricultural research for development (AR4D) project. By the final year, some troubling patterns of transactional interaction between researchers and farmer-participants had become established. This multimedia essay documents and describes our imperfect yet hopeful attempts to disrupt relationship patterns at the end of the project. Contributing to debates around collaboration within AR4D projects, we specifically highlight our disruption of: (i) a well-trodden communication path enrolling intermediary “gatekeepers” to contact participating farmers; and (ii) the protocol of paying participants to attend meetings. We reflect on how—at times—the changes we made, while implementing creative, participatory methods, opened up a newly interactive space to support reflection, feedback and sharing processes at the end-phase of the project.

Application progress of grey model technology in agricultural science

PurposeGrey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.Design/methodology/approachBased on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.FindingsThe results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.Originality/valueBy analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

Effect of Use of Tacit Knowledge Transfer Techniques on Organizational Performance of Kenya Agricultural and Livestock Research Organization Researchers

Tacit knowledge is key in managing the performance of agricultural research organizations. This study analyzed the adequacy of tacit knowledge transfer techniques, how tacit knowledge transfer enables achievement of performance indicators of Kenya Agricultural and Livestock Research Organization (KALRO), and the nature of association between tacit knowledge transfer and researchers' performance. The study adopted a descriptive survey research design, used cluster sampling and a semi-structured questionnaire to collect data from 191 respondents in KALRO research centers. Data were analyzed using the Likert scale and Chi-square in Statistical Package for Social Sciences (SPSS) version 20. Collaborative research, workshops and seminars are the most adequate techniques for transferring tacit knowledge among agricultural researchers and enhancing their performance. Cognitive Self-Motivation, collective and local tacit knowledge are the most useful types of tacit knowledge in enhancing agricultural researchers' performance. Management of agricultural research projects and writing of research fund-winning proposals were the performance indicators that researchers were most enabled to attain by tacit knowledge. Chi-square showed that there was significant association between the types of tacit knowledge and performance of researchers. In conclusion, use of tacit knowledge transfer techniques enables researchers to achieve their organization’s performance indicators and a significant positive association exists between tacit knowledge and researchers’ performance. KALRO needs to encourage more use of the most employed techniques in management of agricultural research projects and writing of research fund winning proposals through workshops, seminars and its knowledge management policy.

Competitividad de proyectos agrarios en las regiones Amazonas, San Martín, Loreto y Ucayali

The objective of the research was to identify and measure the factors that influence the competitiveness of agricultural research projects. Nineteen research projects that were executed by the INCAGRO program in four regions (Amazonas, San Martín, Loreto and Ucayali) were analyzed. The factorial analysis grouped 22 variables into four factors: F1, Knowledge-facilities; F2, Funds; F3, Plans and F4, Impact. The estimated regression model Y = 3.421 + 0.391F1 +0.197F2 + 0.193F3 -0.051F4 (R2: 0.89) was used and Spearman's non-parametric correlation coefficients indicated that, to improve the competitiveness of research projects, it is It is essential to have qualified professionals, experimental fields, availability of laboratories equipped with the latest technology, in addition to having access to the national and international scientific and technological information system. The results obtained are relevant for agricultural research and extension projects in order to improve competitiveness.

Effect Of Spraying Humic Acid And Salicylic Acid On Potato Leaf Area, Yield And Quality At Two Different Levels Of Field Capacity

Abstract: This study was carried out at Al-Hanadi Research Station -Agricultural Scientific Research Center in Lattakia during 2019-2020, to study the effect of foliar spray with different concentrations of humic acid (500, 1000 and 1500 ppm) and salicylic acid (50, 100 and 150 ppm) on Spunta potato plants at two levels of irrigation 40% and 80% of field capacity. The experiment included 14 treatments and 3 replicates for each one. It was designed with a complete randomization system. Results showed a decrease in vegetative surface area and yield kg/m2 at irrigation level 40% of field capacity, while  tubers content of proline and dry matter tubers increased. The highest tuber content of proline was in humic acid 1000 ppm at 40% of field capacity. At irrigation level 80% of field capacity, the treatment with salicylic acid 100 ppm showed the highest yield 4.09 kg/m2and the highest  tuber content of sugars   in  salicylic acid 100 ppm at the same irrigation level. Salicylic acid treatment 50 ppm gave also the highest vegetative surface area (2278) cm2.

Inquiring Systems and Development Led Inquiry: Uniting the Efforts of Farmers, Development Professionals, and Researchers

This paper introduces Development Led Inquiry (DLI) as an approach to improve situations incorporating relationships between third sector organisations (TSOs) and agricultural scientists, universities, and the public-sector agricultural establishment. There is limited scholarly work on the role of TSOs in agricultural research. Current approaches appear premised on TSOs being researched upon, and recipients of research outcomes rather than partners in generation and application of new knowledge. DLI expands the boundaries of research systems and roles of TSOs as supporters within them. DLI builds on partnerships between NGOs, farmers’ organisations, and women’s associations; it integrates researchers and research organisations to develop, manage and report knowledge generation and application. DLI is dynamic and developmental with learning for all participants central to the process. DLI unsettles current power structures within research systems and sees research and knowledge generation as a supporter rather than leader of development. DLI is embedded in an inquiring systems approach and applies six interrelated conceptual systems thinking tools. The approach emerged from, and was applied in, a twelve-year agricultural research project in India, and was subsequently introduced to, and further developed in a research project in Pakistan.

Effect of Chemical and Biological Control Components in Protecting Potatoes from Infection with Early Blight Disease Caused by Alternaria solani and its Impact on Growth and Yield

Shaabo, A., N. Deeb, M. Mufleh, R. Zaydan, A. Haj Hasan, L. Adra, A. Askriyeh and N. Sakkour. 2022. Effect of Chemical and Biological Control Components in Protecting Potatoes from Infection with Early Blight Disease Caused by Alternaria solani and its Impact on Growth and Yield. Arab Journal of Plant Protection, 40(4): 325-333. https://doi.org/10.22268/AJPP-40.4.325333 This study was carried out at Alsonawbar Station of the Agricultural Scientific Research Center in Lattakia, Syria during the spring of 2021 to evaluate the effect of different treatments for the control of potato early blight disease, and their effect on plant growth and potato yield and quality. Six treatments were evaluated: two chemical pesticides: Ranman 20% SC (cyazofamid), Moximate 50% WP (cymoxanil + mancozeb), three biological pesticides Bacillus subtilis, Beauveria bassiana and Trichoderma harizianum, in addition to the control. Results showed that Ranman treatment was superior, as it led to reduction of 20.18 and 5.61 % in disease severity and infection rate, respectively, two weeks after treatment, with a decrease of 25.80 and 20.46 %, respectively, compared to the control. With the same treatment, the leaf area and leaf area index reached 8438.75 cm2 /plant and 3.45 m2 /m2 , respectively, with an increase of 4827.75 cm2 /plant, and 1.97 m2 /m2 over the control treatment. Results also showed the superiority of Bacillus subtilis treatment in terms of tubers number, tubers weight, yield, and the proportion of marketable yield which reached 8.16 tuber/plant, 93.47 g/tuber, 3126.94 kg/donum, 95.30% marketable yield, respectively, which represented a reduction rate of 20.09%, 30.99%, 42.31%, 9.72%, respectively, over the control treatment. In addition, results showed that the highest dry matter and starch content was obtained in response to the chemical pesticides treatments. Key words: Alternaria solani, potato, chemical control, biological control, production

Deep Learning Agricultural Information Classification Combined With Internet of Things Technology in Agricultural Production and Economic Management

This study aims to explore the application of agricultural information classification combined with the Internet of Things technology in agricultural production and economic management in the context of deep learning (DL). The agricultural information classification system is built based on DL. In terms of experimental methods, qualitative and quantitative methods are used to compare the extractive forward and the generative reverse generation algorithm in the abstract generation method. Typical extraction methods that directly extract important sentences are relatively ineffective. The model parameter tuning and training of generative (regenerating new sentences) are difficult, and the effect does not reach the level of agricultural scientific research. Qualitative and quantitative evaluation practice proves that the effect is better. In the data training effect of Rice Digest, after nine days of iterative training for about 1400 steps, the loss value is 1.33, which is equal to the standard data set. In the data training effect of Wheat Digest, after nine days of iterative training for about 1400 steps, the loss value is 1.496, which is equal to the standard data set. Later, the existing original model is adjusted to fit the model of the agricultural dataset scale. Among them, the minimum learning rate is reduced from 0.01 to 0.003 to expand the learning rate drop rate. In the visual training comparison, when training to about 1400 steps, the cross-entropy loss function values are about 1.43 and 1.29, respectively. The curve smoothing factor is set to 0.97 to observe the overall change in target loss value. The results show that when the parameter settings remain unchanged, the loss value of the model starts to increase linearly at about 1400 steps, and the effect reaches the expected value. This study improves the relevance, completeness, and accuracy of information acquisition in the field of agricultural science and technology information and improves the utilization of agricultural information.

Nutrient accumulation and distribution in different bamboo species under semi-arid climatic condition of Entisol

A long-term field experiment initiated in the year 2018-19 at National Agricultural Research Project, was selected for conduct of present investigation during the year 2020-21 in order to determine the effect of different bamboo species on nutrient accumulation and distribution in different biomass components as a result of bamboo plantation grown on Entisol under semiarid climatic condition. In the average effect of bamboo biomass components, the nitrogen concentration was found highest in bamboo leaves (1.51% N), phosphorus and potassium concentration was significantly highest in bamboo branches (0.095% P and 0.64% K respectively), while, carbon concentration was numerically highest in bamboo stem (43.53% C). The bamboo species treatment, Bambusa nutans recorded significantly highest nitrogen uptake (457.83 kg ha-1), whereas Bambusa tulda recorded the highest phosphorus and potassium uptake (49.70 and 409.77 kg ha-1, respectively). The maximum carbon uptake of 27.83 t C ha-1 was recorded in Bambusa nutans. All of the tested bamboo species had shown greater amounts of nutrient accumulation in above ground biomass, i.e. Stem > Branches > Leaves > Leaf-litter > Rhizome > Roots, due to maximum partitioning of total biomass towards above ground components. The results indicate that the relative proportions of nutrients accumulated in different biomass components in tested bamboo species vary greatly due to variations in elemental concentrations and biomass output after 2nd year of bamboo plantation under semi-arid climatic conditions of Entisol.