http://jjournals.ju.edu.jo/index.php/jjas/issue/feed Jordan Journal of Agricultural Sciences 2024-06-12T22:54:29+03:00 Rana Abu_Laila jjas@ju.edu.jo Open Journal Systems <p style="text-align: justify;"><em><strong>The Jordan Journal of Agricultural Sciences (JJAS)</strong></em> is an international double-blind peer-refereed, open-access journal publication sponsored by the Scientific Research and Innovation Support Fund/ Jordan Ministry of Higher Education and Scientific Research and housed at the Deanship of Scientific Research/ the University of Jordan. The JJAS is the official journal of the University of Jordan and the continuation of Dirasat: Agricultural Sciences. The JJAS is dedicated to achieving the highest standards and requirements of scientific research in agriculture and allied sciences, publishing articles that will benefit academics and practitioners in agriculture, and contributing to the body of accumulated knowledge, locally and globally. The JJAS is also committed to upholding the highest standards of publication ethics and taking all possible measures against publication malpractices. The authors certify that the submitted articles represent their contributions and have not been copied or plagiarized in whole or in part from other works. The authors acknowledge that they have disclosed all or any actual or potential conflicts of interest associated with their articles. The journal is committed to an objective and fair peer review of the submitted works for publication and to preventing any actual or potential conflict of interest among the editorial staff, reviewers, and the reviewed material. Any departure from the rules defined above is reported directly to the Editor-in-Chief, who is unequivocally committed to providing prompt solutions to these issues.</p> <p><strong><em>Why Publishing in JJAS? Some Incentives and Benefits: </em></strong>There are many incentives and benefits for publishing in the Jordan Journal of Agricultural Sciences; this is evident from the transparent journal’s instructions disclosed on its website and the motivational work manner of the editor-in-chief, members of the editorial board, and the editorial secretary with researchers while submitting their research and publishing it in the journal. The main incentives and benefits are as follows:</p> <ol> <li>Publishing in JJAS is free. There are no fees for submitting or publishing research.</li> <li>JJAS is an open-access journal. Make the research published in JJAS available to the public free of charge.</li> <li>Strict quality control ensures the quality and specificity of the publication in its scientific and formal content.</li> <li>JJAS uses a double-blind, strict, and fair review process.</li> <li>The JJAS editorial board staff all of whom are research scientists, participate seriously during the peer review and publishing process.</li> <li>The JJAS staff encourages researchers to promote their research published in JJAS to a broader audience on various scientific and social electronic sites.</li> <li>The JJAS staff provides technical and electronic support to all researchers submitting research for the journal.</li> <li>Continuous publication: there is no waiting with the early view in JJAS.</li> <li>Ensuring international fame as researchers, publishers, and readers are global.</li> <li>The universality of the classifications in which JJAS falls, with effective links for each classification.</li> </ol> http://jjournals.ju.edu.jo/index.php/jjas/article/view/2571 Enhancing Water Management in Jordan: A Fresh Tomato Water Footprint Analysis 2024-06-12T22:54:29+03:00 Arwa Hamaideh hamaideh.arwa@ju.edu.jo Tharaa Al-Zghoul tharaaalzghoul@gmail.com Nuha Dababseh n.dababseh@yahoo.com Ahmad Jamrah jamrah@ju.edu.jo <p>Water footprint (WF) analysis is crucial for comprehending agricultural water usage patterns. This study aims to determine the total WF for tomatoes in Jordan from 1994 to 2023, covering both summer and winter seasons, to inform decision-making regarding tomato cultivation practices in the area. Despite inconsistencies in data recording, particularly regarding fertilizer application and sunshine, the WF serves as a valuable tool for estimating seasonal variations in water requirements and facilitating comparisons between different approaches to water usage for tomatoes. Comparative studies globally suggest variability in WFs due to factors such as climate, irrigation methods, and soil conditions influencing results. In this study, the CROPWAT 8.0 model was employed to analyze input data obtained from the Department of Statistics, NASA POWER, and local farmers near the Baqoura, Deir Alla, and Ghour Alsafi stations. The analysis aimed to determine the green WF (rainfall), blue WF (irrigation), and gray WF (water required to dilute pollutants) at these stations. The results revealed that the total WF during winter was approximately 7217.62, 8417.65, and 14061.42 m<sup>3</sup>/ton for the Baqoura, Deir Alla, and Ghour Alsafi stations. In summer, the respective values were around 3107.67, 6026.52, and 11847.35 m<sup>3</sup>/ton. Significant findings include ET green, evapotranspiration (ET) blue, crop water use (CWU) green and blue, and production yield for 2023. The nitrogen application per dunum was also calculated as 368 kg/30 dunum, equating to 123 kg/ha. The significance of these results lies in their potential to inform and optimize water management practices in tomato cultivation, promoting sustainability and resource efficiency.</p> 2024-06-12T00:00:00+03:00 Copyright (c) 2024 Jordan Journal of Agricultural Sciences http://jjournals.ju.edu.jo/index.php/jjas/article/view/2335 Evaluating the Performance of the AquaCrop Model to Soil Salinity in Jordan Valley 2024-02-05T10:18:12+03:00 Luma Hamdi lumahamdi21@yahoo.com Ayman Suleiman ayman.suleiman@ju.edu.jo <p>The demand to apply a decision support system to simulate salinity and drought is increasing with time, particularly in arid and semi-arid regions like Jordan, where the threat of land degradation by salinization is of high concern.&nbsp;&nbsp; The main objective of this research was to evaluate the response of the AquaCrop model to soil salinity in Jordan Valley. Two experiments were conducted, one at the field and the other at the greenhouse. Three water salinity levels (S): S1 (control = 2 dS m−1), S2 (4 dS m−1), and S3 (8 dS m−1) with three irrigation amounts (R): R1 (control = 120%), R2 (100%), and R3 (70%) were used in the field. Four levels of saline water (S):S1 (control =0.65), (4) S2, (8) S3, and (10) dS m-1) S4 were used in the greenhouse. In both experiments, grain yield, and aboveground biomass were measured after harvesting. Soil salinity and pH were measured every three weeks during the growing season to monitor soil salinization. Results showed that the final field grain yield was good in calibration and validation, with a 0.96 agreement index (d). The efficiency factor (E) was 0.86 and 0.87 for calibration and validation, respectively, while the normalized root mean square error (NRMSE) was less than 4 %.&nbsp; Field biomass d-index of 0.87 and 0.71 and E of 0.65 and 0.45 for Calibration and Validation were found, respectively. In the greenhouse experiment, the results were less satisfactory.&nbsp; Grain yield showed d-index of 0.84 and 0.88 in calibration and validation, respectively, while biomass showed poor results. All statistical criteria used in this research indicated that the model can simulate grain yield and biomass properly in the field, however, biomass statistical results were less accurate. Overall it is recommended, to use AquaCrop for soil salinity management in Jordan Valley.</p> 2024-06-01T00:00:00+03:00 Copyright (c) 2024 2024 DSR Publishers/The University of Jordan. All Rights Reserved. http://jjournals.ju.edu.jo/index.php/jjas/article/view/1428 Estimating Economic Returns of Sheep and Goat Rearing in Karak Governorate 2023-07-16T12:42:32+03:00 Mohammed Ali Bdour Bdourm@Mutha.edu.jo Ayman Frid Zyadeen aziadeen@yahoo.com Nayl Twfiq Alkawalit Alkawalit@nomail.com <p>This study aims to estimate the economic returns of sheep and goat rearing as well as total cost and returns to identify the profit margin made by out each farmer. The random sample consists of 196 breeders who breed 58240, sheep and goats in the Karak governorate of Jordan. The sample represents 13% of the total sheep and goat population (445300) in Karak. The primary data were collected through personal interviews with farmers using a questionnaire. The questionnaire was designed to achieve the study objectives and consisted of three themes. The first theme was questioning the variables that relate to the farmer’s personal characteristics (demography). The second theme contains a set of questions regarding financial production cost and return parameters during the milking season including the marketing process. The third theme consists of information about the return from selling individual sheep and goats and products such as wool and manure. The collected data from the questionnaire were statistically analyzed following Likert 5 Scale The financial analysis was conducted using Gross margin analysis. The findings of the analysis show that 52.6% of farmers were above 50 years old. the average size of the herd was 297. The variable cost for the herd was 13067.98, Jordanian Dinar, while the total returns were 17104.54, JOD, and the Gross margin ratio was 0.23599. The amount of milk production was (3,494.4) tons in a season lasting 3 months on average. The average prices of milk of goats and sheep are 1.1 and 0.87 JOD/kg, respectively, Moreover, 53.3% of the farmers processed the domestically produced milk into Jameed, butter, and margarine. The result of the analysis of gross margin was 30%, indicating the sheep and goats rearing projects make profits in Karak Governorate. The study recommends that a national program should be developed to maintain local breeds, set appropriate standards, and define trademarks for the local production of Jameed and domestic margarine.</p> 2023-07-16T00:00:00+03:00 Copyright (c) 2023 DSR Publishers/The University of Jordan. All Rights Reserved http://jjournals.ju.edu.jo/index.php/jjas/article/view/1425 Effect of Supplemental Irrigation on Wheat Performance Grown in Semi-Arid Environment 2023-07-13T12:03:28+03:00 Raeda Al-Mayta Al-Mayta@nomail.com Adel H. Abdel-Ghani abdelghani@mutah.edu.jo Saddam Aref Al-Dalain Al-Dalain@nomail.com Mahmud Ayed Duwayri Duwayri@nomail.com <p>This study was carried out to determine the effects of different supplemental irrigation (SI) treatments on yield, yield components, and some drought-related traits in eight wheat varieties grown in the semi-arid environment of Jordan. Two SI treatments were used in addition to the control (i.e. rainfed treatment with 262.8mm accumulated rains): partially SI treatment (PSI=262.8mm rains+220mm irrigation at anthesis stage) and continuous SI treatment (CSI= 262.8mm rains + 377.5mm at 2-3 weeks intervals during different stages of wheat growth). Seven durum wheat varieties; namely Sham1, Omqais, Acsad65, Bani Suef6, Bani Suef4, Horani Nawawi, and Dairalla6 in addition to one bread wheat variety (Ammon) were included in this study. Yield and yield components were significantly increased and the time required to anthesis and maturity were delayed by SI. PSI treatment significantly increased grain yield by 50.2%, while CSI increased yield by 121% as compared to the control treatment. Considerable variations among varieties were observed under different irrigation treatments. Sham1 (2266.7 kg ha<sup>-1</sup>), Omqais (2253.3 kg ha<sup>-1</sup>), and Acsad65 (1963.3 kg ha<sup>-1</sup>) gave the highest grain yield under control treatment with low drought susceptibility indices, implying their low grain yield losses under control as compared with SI treatments with high genetic potentials for drought tolerance. The top-yielding varieties under CSI were Acsad65 (4716.7 kg ha<sup>-1</sup>), Dairalla6 (4586.7 kg ha<sup>-1</sup>), Bani Suef6 (4460 kg ha<sup>-1</sup>), and Omqais (4360 kg ha<sup>-1</sup>). Under PSI, Sham1 (3303 kg ha<sup>-1</sup>) followed by Dairalla6 (3193.3 kg ha<sup>-1</sup>), Horani Nawawi (3130 kg ha<sup>-1</sup>), and Bani Suef6 (3026.7 kg ha<sup>-1</sup>) gave the highest grain yield. All yield components (number of kernels per spike, number of tillers, and grain size) significantly contributed to increasing grain yield under SI. In conclusion, SI under rainfed conditions improves yield-attributing traits, which led to a substantial increase in grain yield. It would be possible to increase GY by more than 3 and 4 tonnes ha<sup>-1</sup> with PSI and CSI, respectively.</p> 2023-07-16T00:00:00+03:00 Copyright (c) 2023