\\n\\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\n\n
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Academic libraries are committed to providing their patrons with an easy and intuitive search experience, similar to what they expect from their favorite search engine, Google. Discovery services have an important role in revealing the library’s collection to its users. These tools reduce time and effort spent in both searching and learning to use the various database interfaces. A query from one search box produces a list of organized results for the user to review. Assessing user information behavior and librarians’ feedback are crucial for improving these services and presenting library patrons with a better user experience.
User expectations for library resources have changed dramatically; individuals have become too impatient to search in multiple databases to access desired information. Library patrons are challenged by alternate search interfaces that can discourage the full use of the given resources. Information overload has become another issue; users have online access to a variety of subscribed databases, but they have limited understanding of what they are and how to use them. Therefore, librarians are actively seeking better ways to integrate and present information [1].
Searching for sources in the library cannot be discussed without addressing the impact of the Google search engine. Google has become a powerful presence in the life of all library users. It is the most popular search engine for queries about daily issues and for academic needs. It empowers library visitors to search for their academic information needs, within an easy and popular interface [2]. In libraries, some consider this an obstacle, and some see it as an opportunity for innovations and improvements. One thing is certain: Google redefined the search experience, and libraries should acknowledge this.
In 2004, Google launched Google Scholar, a tool for discovering scholarly information. Google Scholar is a search engine for academic articles, theses, books, abstracts, and court opinions from academic publishers, professional societies, online repositories, universities, and other websites. This free resource, with its basic and familiar interface, has the potential to serve as a scholarly metasearch information engine [3, 4]. Google Scholar has received mixed receptions from the librarian community. It has some advanced search features, but it provides no interface for refining the results. Users can set preferences such as language, year, author, and periodical title. They can also view an indication of the libraries from which it can access the source, citation export options, and how to cite the source (for many citation styles). The reviews and critiques of Google Scholar have been mixed, at best. Its content, its search engine, its interface, and its citation count have all been criticized. Patrons of libraries who have subscriptions to the digital archives of publishers are the greatest beneficiaries of Google Scholar, as with a single search they are led to the full digital text versions of the articles [4, 5, 6]. Google Scholar is very different from library database interfaces and their search options, yet it introduces library users to scholarly articles through a familiar and friendly interface.
Discovery services are vital tools to increase search ability and accessibility of library resources. A combined search interface for multiple resources will help users discover relevant content. The tool reduces time and effort spent in both searching and learning to use the various database interfaces. It broadcasts a query across all sources and returns one organized list of results for the user [7, 8]. Discovery services have become almost essential in academic libraries. The libraries need to create a discovery layer that simplifies the search process while broadening the richness of resources availability in a Google-like interface. The discovery service is comprised of pre-indexed materials from many library information sources. The discovery solution enables faceted browsing, relevance ranking, and limitation options to refine the search results. Discovery tool services are the libraries’ attempt to offer a “Google-like” search experience of library resources.
The discovery tool makes it possible to create a centralized index of an institution’s information resources through a single point of access. Since the content is pre-indexed, response time is very quick and meets the user’s needs. Discovery tools enable to connect patrons with the library’s storehouse of information and search indexes and databases quickly and easily. These tools tend to be more popular with users, especially undergraduates, than traditional library search tools [9, 10, 11, 12].
Libraries took upon themselves to review current web-scale discovery solutions and implement it accordingly. In their review, Karadia and Pati [13] suggest a summary of discovery tools’ advantages:
Connect users with the content from different sources
Quick search across a vast number of resources in a one-stop search box
Relevancy-ranked results in an intuitive interface expected by today’s information seekers
Simplify the research process
Increase the use of library resources
As Hanrath and Kottman [14] summarize, there is a wide consensus in the literature that discovery tools are one way of retaining patrons who are already immersed in the “world of Google” and to bring them back to the library world.
In this work, we present a case study of six academic libraries in Israel, who chose to implement EBSCO Discovery Service (EDS).
Education is highly valued within Israel’s national culture, and its higher education sector has been acknowledged for helping to encourage the country’s development. There are nine universities in Israel, as well as numerous higher education colleges. Courses are often taught in Hebrew, though Israeli universities also offer English-taught programs. In Israel, academic libraries started to implement discovery services in 2010 [9].
This study uses data from three governmental universities and three colleges (two governmental and one private), to reflect on information behavior and discovery tool use in different types of users and institutions. Every library in our study is unique, each with a diverse organizational culture, a distinct student population, and different educational programs and specialties. This enables us to draw a representation of academic library users in Israel.
The study uses a mixed-methods approach to gather both quantitative and qualitative data on usage of EDS discovery service tool. We analyzed librarians’ interviews regarding their professional perspectives and patrons search information behavior via Google analytics transaction logs to reveal interactions between users and the discovery system.
We contacted 10 academic library directors, according to a given list of Israeli libraries that implemented the EDS service (at least 2 years ago). The contact was made via email, which asked them to participate in the study; six of which accepted. We conducted an hour-long interview by phone or by face-to-face meetings, with each library director (two of which, referred us to the head of the discovery tool services in the library). We discussed three topics: the decision procedure, the essence of EDS discovery tool, and the search behavior of the library patrons. The questions were regarding their professional practice, general philosophies, and opinion.
Libraries based their choice to implement EDS discovery tool on peers’ recommendations, joint committee discussions, and literature reviews. Massive library and information science (LIS) sources deal with issues regarding planning, choosing and implementing discovery tools. Librarians are exposed to information made available through peer-reviewed papers, presentations, and online discussions in various platforms (national and international). In her book Planning and Implementing Resource Discovery Tools in Academic Libraries, Mary Pagliero Popp [15] suggests that there is a framework for evaluating discovery tools. This framework discusses involving library staff from various libraries and asking them for their technical and functional experience. There is also a thorough review on selected features and best practice for the evaluation and the selection procedure.
According to the interviewees, the main reasons for choosing EDS were the ease of use and the Google-like interface. Shi and Levy [16] determined that EBSCO Discovery Services is one of the discovery search tools that is highly recommended by librarians. In her work on maximizing academic libraries’ collections use, Kristine Calvert [17] declares that EDS presents a simplified search experience through a single search box, which exposes a far greater number of the library’s resources. In their study, Thompson and her colleagues [18] studied the results of George Washington university library staff’s focus group. The study was conducted to assess user satisfaction with EDS service, and it found that librarians like the familiar EBSCO host-type interface as their discovery tool search box.
The quality of metadata was another reason mentioned in the interviews and the fact that EBSCO is also the vendor of their most popular databases. Therefore, the librarians believed the service would reflect the same professional advantages. As mentioned in the literature, EBSCO has a solid reputation for their comprehensive collection of content, sophisticated search options, and responsive technical support. Kristine Calvert [17] studied the Western Carolina University library decision to use EDS discovery tool service. In her findings, she suggests that the preference for EBSCO’s products was based on two primary reasons. First, West Carolina University library has subscription to a large number of databases on the EBSCOhost platform, therefore wanting to maximize use of those databases, and second, the confidence the library has in the product relevancy rankings.
Two of the librarians in the study did a cross search to compare relevancy of results in three available discovery tools and found EDS to have the highest result relevancy. In the literature there is not a definitive answer on which discovery tool produces the higher relevancy results. In their study, Shi and Levy [16] review EDS advantages in performing a smart search. They found that the service leads users to adequate results as well as offering suggested adjustments by narrowing or limiting the information sources retrieved in search. In a survey named “Librarian Assessment of the Quality and Relevance of Search Results” conducted by librarians at the Cornell University library [19], the responders ranked EDS as better in its interface and in its ease of use. As for the search results, EDS appears to work better only for some disciplines (compared to Summon). Asher, Duke, and Wilson [3] studied the ability of students to locate information resources, which indicated better results for the students using EBSCO Discovery Service.
All the interviewees thought that Google Scholar was and still is the student’s first and primary choice. The fact that it is well-known and familiar to most of them makes it the preferable search interface. This fact is well supported by the literature; Google Scholar receives higher usability and preference ratings from students because it is easy to access, convenient, easy to use, and fast [20, 21, 22, 23, 24]. They always prefer Google Scholar to library databases and discovery tools.
Interviewees mentioned the fact that libraries need to keep cooperating with Google Scholar and enable access to its subscriptions. Patrons of libraries, who have subscriptions to the digital archives of publishers, are the greatest beneficiaries of the Google Scholar services. With a single search, they are led to the full digital text of the requested item [6]. In their research, Dempsey and Malpas [25] studied the future of the academic library in the context of diversity and change. They suggest that library users have lost their track on content supply. There is an increasing overlap between library and Google Scholar in workflow and network identity when they disclose and share information sources.
Most library directors mentioned Google Scholar and EDS as part of the same instruction meetings for research students. Hanneke and O’Brien [26] found that while librarians always hope for the opportunity to provide instruction on advanced searching, students and faculty could successfully use discovery tools to perform a research process. Therefore, searching instruction is either not available or not desired. Contradicting their results, other studies [27] have found that information search interfaces including Google Scholar and discovery tools very often retrieve a large number of records in response to a simple query, which requires search expertise to manipulate the results to find adequate information. Users need librarian’s guidance in order to find and retrieve information.
Another topic that arose from the study was regarding search results. According to the interviewees, the EDS system provides fewer but better results than Google Scholar. This is supported by the literature; Karen Ciccone and John Vickery from North Carolina State University Libraries [28] found that there was no significant difference in the results between Summon and EDS, for either known item or topical searches. They also found that the higher proficiency of students using EDS leads to higher quality academic resources. However, Google Scholar outperformed both discovery services, in topical searches.
The librarians recommend EDS to their students, and it is referred to as the library’s “Google Scholar.” Asher, Duke, and Wilson [3] well described it in their work Paths of Discovery when they review the advantages of discovery tools:
Providing a uniform search interface and aggregating content behind a single “brand,” discovery tools like EDS, Summon, and GS help to diminish the “cognitive load” on students by eliminating the often difficult and confusing step of choosing an appropriate disciplinary database, as well as the need to repeat searches in multiple databases.
Ease of use was the most popular motive in all the interviews. The fact that students do not need to learn how to use new database interfaces makes it much easier on the library clients. Studies of information seeking behavior indicate that users act according to the principle of least effort and ease of use [29]. Students also tend to minimize their effort at the expense of the quality of their results. Information sources that are found quickest and easiest are those that are most likely to be used by students [3].
All the library’s directors mentioned examining usage statistics to ensure that the tool is highly used among the patrons. In the literature, we find that libraries must monitor their service efficiency by aggregating data from all available sources [20]. In his work, The Future of Library Resource Discovery, Marshall Breeding [30] discusses the considerable interest of libraries in the ability to measure the performance of their discovery service. He suggests that patron’s information behavior should be recorded and evaluated for the improvement of user experience and service.
Four out of six libraries use EDS solely for publishers’ subscriptions. Their intention was to extend usage of the E-journals subscriptions and to enable their patrons to find and retrieve full-text articles. This notion is well supported in the literature. In her work, Maximizing Academic Library Collections: Measuring Changes in Use Patterns Owing to EBSCO Discovery Service, Kristin Calvert from the University of North Carolina’s library [17] found that EDS discovery tool had a strong positive effect on E-journal use. Additionally, it appears to maximize the value of library subscriptions. Thompson and her collogues [18] support these findings; according to their study, EDS has changed user behavior to better connect users to the library’s E-journal collection and increases use of full text and abstracts, especially in the EBSCO host databases.
All the study participants indicated the quality of results, quality of the search algorithm, and quality of metadata as factors that enable high-precision search. Marshall Breeding [30] indicated that discovery tool interfaces include features such as relevancy-based search results, faceted navigation, and presentation of search results listed either in a brief form or in full-record displays. Studies have also proven that discovery systems generally support better relevancy rankings and deliver higher quality resources [1, 3, 18].
All interviewees mentioned the good customer relations they have with EBSCO representatives. The transparency, the flexibility of the system, and the responsiveness of the support team add to their positive user experience. In his report on index-based discovery services from 2018, Marshall Breeding [31] writes that EBSCO Discovery Service success among libraries is due to its interoperability with strategic systems implemented in libraries, its content coverage, and its interface design.
One of the interviewees referred to EDS as a starting and more general search point, primarily for bachelor’s degree students. In her opinion, research students prefer a more accurate search in their native databases. Thompson and her colleagues [18] found that students like the EDS search interface and frequented it, because of prior successful searches. Asher et al. [3] found that student’s search strategies use simple keyword searches, as they do in Google. They also feel that they could get access to full-text resources more quickly and easily.
Two university library directors specified that in the fields of social sciences and humanities, the system produces good results but less so in the exact sciences. McCracken and her colleagues at Cornell university library [19] also found that EDS appears to produce better and more accurate search results, only for some disciplines (in comparison to other discovery tools available).
One of the library directors mentioned a specific case in which the university had a few hours of technical difficulties. During which, she received many complaints from faculty and students on the unavailability of the service. This is well supported in studies that indicate the popularity of the discovery tool search interface for library patrons [3, 18].
Three of the interviewees declared that the reference librarians use “native databases” for economic, business, and legal data. In her work on librarian’s search preferences, Foster [32] found that when helping patrons, librarians choose web-scale discovery systems or subject-specific databases as starting point of the search. When librarians preform an independent search, they prefer only subject-specific databases as their chosen starting point.
All libraries use EDS search box in the main menu of the library home page. Two of the interviewees indicated that they choose to include a tab in the search box for native databases and a separate tab for the EDS service. The other four interviewees used the EDS service as their default search tab for English articles. The libraries’ goal is to improve the accessibility and visibility of its online resources while providing user experience shaped through consultation and engagement. In his work on improving access to e-resources for users at the University of Derby, Kay [33] describes the planning and designing of the EDS discovery search box. He reviews the process made up of a few stages: first, student’s feedback on what kind of search tab they would prefer, and second, the library presented a selection of potential icon designs and asked them to choose their favorites. The same procedure was made for library staff from different services. The implementation staff also met with EBSCO representatives to become familiar with the best practices at other institutions. As a result, they designed a bigger search box with a more dynamic look and brighter color scheme.
In our study, all participants indicated concern regarding too many results per search. Some activated only subscripted periodical archives while eliminating open access and other articles. They also commented that keyword search is the most common and popular search among their patrons. The literature indicates [10, 34, 35] that a careful evaluation needs to be made on which settings and customization of the discovery tool will best serve the students. Since these settings will affect their search results and research outcomes, students will use basic search functionality and usually rely on the first page of search results due to their trust in the algorithm relevancy rankings. By structuring and ordering the way information is presented, libraries can influence their user’s information behavior.
The librarians believe that students use EDS without any instruction, just click and go. The literature on this points out that librarians need to reevaluate instructions at the reference desk and in the classroom. Instructions can be used to teach patrons basic search skills, allowing more time to focus on research skills and encourages them to evaluate the information [35, 36].
All the participants declared that EDS is the portal for full-text search. If the patron does not have access to a link to the full article, in their opinion the service does not meet the expectations. Therefore, the link resolver has to be precise and as transparent as possible to the end user. This finding matches Marshall Breeding’s work on the future of library resource discovery [30]. He characterizes the discovery tool interface as interoperable with a link resolver, to present links to full text from citation records in search results.
Libraries have adopted web-scale discovery services as one-stop research shops over the past years. Studies report that users find it easy of use and that it produces better search results with high-quality resources. To complete librarians’ interviews and to learn more about the users’ point of view, we have to analyze and understand their interactions with EDS. The usage data and log files analyses are extremely useful and valuable for libraries, in order to reveal the user’s information behavior. It can also indicate how the library can implement this for a better and successful experience with its information resources.
Every action that a user does is recorded and represents the way he or she uses the discovery tool. The study uses data mining from Google Analytics platform, monitoring all the involved libraries. We implemented an automatically generated tracking code to record every EDS page generated, on basic and advanced search screens and search result pages. The study reviewed reports regarding information behavior and technology metrics. Reports were generated in Google Analytics and exported as Microsoft Excel spreadsheets. The Excel spreadsheets provided the ability to sort searches for more detailed data analysis.
The data was collected during the first semester of the 2018–2019 academic year, from December to January.
Terragni and Hassani [37] found that there are some limitations in Google analytics data analyses:
No indication about which user made a particular choice.
The system cannot provide end-to-end process maps that can show and explain choices and loops between activities.
There is no analysis of the processes from different perspectives (e.g., time constraints, bottlenecks, or relations between resources).
However, we chose this platform in order to gain an overall idea of how the library patrons behave, to compare this behavior with what library professionals expected, and to make the user experience more efficient and successful.
On average, a single user preforms two sessions. Session duration is 11 min, and every user uses eight pages per session. The average session duration is impressively high, since we find that studies report on session search duration of 5 min [38] or even shorter duration of 3.46 min [17]. We may assume that this is because Israeli students are mostly native Hebrew speakers and use English mostly for academic and spoken language. Because of this, they might require extra time to linguistically decode the research items they find [20].
Most patrons (93%) use EDS from their desktop computers, 4.14% are mobile users, and less than 1% use tablets. The data resembles the Cohen and Thorpe study [39] on EDS usage statistics in two Indiana University campuses. They found that 98% of the discovery tool visitors were desktop users (PC and laptops). This indicates that EDS visitors mainly use desktops for their information searches. In their work, Chang and Liu [40]) discuss how mobile use of the Internet is gradually changing people’s information behavior. They studied mobile application reading sessions and suggest four stages model for mobile user interaction: (i) accessing the applications, (ii) searching for the content, (iii) reading, and (iv) interacting. It would be interesting to further study, check, and characterize mobile usage of discovery tools and determine why it is relatively low according to our research data. This study clearly demonstrates that EDS is not one of the patron’s preferred mobile applications. Therefore, libraries must assess and improve the EDS mobile user experience.
On average, 65.48% of the total users turn to the basic search box as their starting point of access (first interaction data (see Figure 1)). In all six libraries, the default page on EDS is the basic search page. Users must intentionally navigate to the advanced search page, so most of them will use the default and basic search box. When students use the discovery service, they type a few relevant keywords, which enable them to find rich, fast, and ranked search results [36]. Asher et al. [4] also found that students usually trust the search engine’s algorithms. They trust its relevancy ranking and are satisfied with its results. Calvert [17] suggests that if users find something sufficient for their information needs, they will use that resource instead of seeking a better one.
First interaction behavior flow (Participants that dropped out were not included in the analysis).
On average, 14.42% of the total users turn to the advanced search box as their starting point of access (first interaction data (see Figure 1)). In their work on discovery services usage at Indiana University, Meg Galasso and her colleagues [36] found that although librarians assumed discovery tools were intuitive and easy to use, many users are not using it effectively. This small percentage of users indicates that they find the basic search interface inadequate for their needs. It can also indicate that users act according to the principle of least effort and ease of use [29]. In her work Millennial Students’ Mental Models of Search, Holman [41] found that most students prefer simple searches even if they retrieve a larger quantity of results. Studies also found that unlike undergraduates, more experienced students are already familiar with focusing their search and make use of the advanced search features of the discovery tool. Navigation to this option suggests a deeper level of understanding and a more sophisticated research processes [42]. In their work Discovering User Behavior, Cohen and Thorpe [39] suggest to characterize discovery service users as either light users or heavy users. The heavy users should be taught advanced searching techniques for their information needs. While this study observed users search behavior, it would prove useful for further study of different types of user’s information behavior (undergraduates, graduates, doctoral students, and faculty) while conducting their research assignments.
On average, 49.28% of the total users entered the details of their bibliographic records as their second interaction with EDS (see Figure 2). We can assume that these patrons find the search results adequate for their information needs. We can also assume that clicking on the full-record option enables patrons to check if the item matches or exceeds their expectation. In her work, Calvert [17] found that academic users read the abstracts in order to judge the relevancy of the specific information source, prior to accessing the full text. She also found that patrons avoid additional result pages; they are likely to access only six detailed records in a result list before leaving the search service or modifying the search. Cassidy and her colleagues [34] found that the majority of students would not click on additional result pages. They expect the discovery tool to retrieve the most relevant information items on the first page and therefore checking the detailed relevant records and accordingly accessing the full text.
Second interaction behavior flow (Participants that dropped out were not included in the analysis).
On average, 17.67% of the total users decided to preform another search using the basic search dialog box as their second interaction with EDS (see Figure 2). This small percentage of users was seemingly not satisfied by their initial search results. From this study data analysis, we cannot ascertain the exact reason these users choose to leave the current search and preform an alternate one. It is important to specify that these users did not choose an advanced search box to modify their preliminary search; they simply restarted their search on the basic search box. The reason for this might be a poor choice of keywords, misspelling, looking for a specific item, or inadequate search results. Cassidy and her colleagues [34] also suggest that students are more likely to modify a search than to proceed through a number of result pages.
On average, 7% of the total users decided to continue and refine their search strategy through the advanced search dialog box as their second interaction (see Figure 2). As mentioned in the literature review, patrons tend to adopt a simple search string and consider themselves both successful and satisfied with the results. Therefore, what is found most quickly and easily is often most likely to be used [34, 41]. In this study, 7% of the users choose differently; thus, we assume they found that the results did not meet their expectations. This may be due to an information overload or too many results in their first interaction, which caused them to narrow down the search, via advanced search. In his work on discovery tools and information overload, Shapiro [35] claims that libraries expect their discovery services to simplify the search process for their clients. In practice, it did not simplify the task of conducting research nor did it ease the patrons’ information overload. Calvert [17] summarizes that library patrons use the discovery service as they would use Google. This may result in an unproductive search, which in our study lead experienced patrons to reuse the discovery service in a more efficient matter, through the advanced search option.
This study sought to bring a broad overview of EDS discovery service use in Israeli academic libraries by analyzing librarian’s interviews and Google Analytics usage data. Here are the main focal points of the research: the main reasons for choosing EDS platform by the Israeli libraries were high relevancy, quality of metadata, and ease of use. According to the librarians, Google Scholar is the first choice of library users. In all participating libraries, EDS is the default search tab for non-Hebrew articles. All the libraries in the study used the basic search box as the default interface. The librarians thought that only a minority of users would use the advanced search box options. According to Google Analytics data, each user performs on average two sessions, with an average duration of 11 minutes. The vast majority (93%) of patrons use EDS service from their desktop. Most patrons (65.48%) use the basic search box as their starting point, while 14.42% of total users first use the advanced search.
In their second interaction, most patrons (49.28%) entered the details of the bibliographic records. Some (17.67%) decided to preform another search using the basic search box. Only 7% of the total users decided to continue and refine their search through the advanced search dialog box.
The study findings reveal user behavior trends, which may be implemented for a better understanding of the usage of EDS and may encourage libraries to develop strategies to improve instruction techniques, as well as discovery service interface enhancements. Further studies need to investigate specific information behavior of different user populations (undergraduate, faculty, and advanced users). It is important to study further the pros and cons of the service in light of usability testing.
The author wishes to thank EBSCO for supporting this research.
The author also wishes to thank the institutions’ library directors, for their cooperation and willingness to share their thoughts and data with the author.
Library administrators’ interview questionnaire regarding EDS (EBSCO Discovery Services).
Demographic details:
Name of University/College ___________________________________.
× Governmental.
× Private.
Name of library______________________________________________.
Job Title___________________________________________________.
Interview Questions:
Reasons for choosing EDS
Students’ first choice of search tool
Coverage, relevance of results, and ease of use
Access point
Comments and questions:
___________________________________________________.
___________________________________________________.
___________________________________________________.
___________________________________________________.
___________________________________________________.
___________________________________________________.
___________________________________________________.
___________________________________________________.
___________________________________________________.
Increase in global temperature had major impact on crop productivity especially in tropical and sub tropical regimes. Based on climate model predictions, around 1.8–4.0°C rise in air temperature was expected in 21st century [1]. The increase in temperature beyond a certain threshold level tends to induce detrimental effects in plant growth and development. In general, the elevation in temperature of 10–15°C above ambient triggers heat shock in crop plants. The extent of induced heat stress depends on the duration, intensity and rate of increase in global air temperature [2]. Indian lowlands share 15 per cent of global wheat production. The change in global climate would shift these fertile lowlands into heat stressed unproductive environment [3]. Similarly, the cultivation of cereals in Southern Africa and South East Asia was predicted to be heat stressed zone in near future [4]. Around 4–14% yield decline in rice was encountered due to elevated temperature of 1°C in South-East Asia [5]. The declined productivity due to elevated temperature imposes the urgent need for development of climate resilience genotypes. Evolving heat tolerant cultivars would highly benefit the livelihood of developing countries as around 70–80% of population relies on agriculture. Understanding the effect of heat stress on crop plants and its adaptation mechanisms would help in framing out the breeding strategies for high temperature tolerance.
\nHeat tolerance in crop plants is a complex mechanism involving adaptations through altered physiological process, morpho-anatomical features and induction of several biochemical pathways. On exposure to high temperature, several signal transduction pathways were triggered leading to changes in gene expression. As a result, varied stress related proteins were synthesized contributing heat tolerance in plants [6]. The tolerance mechanism to high temperature stress varies within genotypes of a plant species. The existing variation between and within species provide scope for evolving heat tolerant lines through conventional breeding approaches [7]. Dissecting out genetic information through molecular tools would hasten the development of climate resilient cultivars contributing to food security in near future. A brief review on plant response, adaptation mechanisms and genetic approaches to combat heat stress were presented in this chapter.
\nHeat stress had varying impact on different phenological stages viz., germination, seedling, vegetative, flowering and reproductive of crop plants [8]. The plant response to heat stress depends on the duration, degree of rise in temperature and plant type. Under tropical regimes, high temperature with intense solar radiation poses a major limiting factor for yield by inducing leaf abscission, leaf senescence, scorching of leaves, branches and stems, growth inhibition, pollen infertility and poor seed formation [9, 10]. A significant decline in relative growth rate, shoot dry weight and net assimilation rate was recorded in sugarcane, maize and pearl millet on exposure to high temperature stress [11]. High reduction in grain quality was recorded in most of the cereal crops grown under heat stress environments [12]. Several physiological processes such as partitioning of assimilates, plant-water relations and shoot growth was affected due to heat stress in common bean [13]. In general, the susceptibility to heat stress was found higher at reproductive stage of plant development. An excessive yield loss is recorded in legumes on exposure to high temperature (30–35°C) during anthesis stage [14]. Drastic reduction in grain number and weight was observed in wheat at high temperature regimes [15]. Heat stress affects several metabolic pathways leading to accumulation of reactive oxygen species (ROS) which is a major component for oxidative stress in crop plants [16]. The photosystem centres (PS I and PS II) of chloroplast, mitochondria and peroxisomes are the major sites for generation of ROS in plants [17]. High temperature stress disrupts the stability of cell membrane through protein denaturation [18]. The induction of ROS due to high temperature stress was correlated with premature leaf senescence in Gossypium sp. [19]. Accumulation of ROS in root cells was evidenced in wheat on exposure to high temperature for two days [20].
\nPlants tend to adapt several complex mechanisms through phenological and morphological changes to combat high temperature stress (Figure 1). On heat stress regimes, plants exhibit varied short term escape/avoidance mechanisms viz., altered leaf orientation, transpirational cooling, altered membrane lipid properties, early maturation and so on for its survival. Plants show varied degree of leaf rolling upon intensity of solar radiation. A significant tolerance to high temperature was observed in wheat by maintenance of water potential in flag leaf through adoption of leaf rolling under heat shock conditions [21]. Increase in trichomatous and stomatal densities, waxy layer on leaves, and larger xylem vessels are the common features induced during heat stress [22]. On contrary, plants also evolve long term tolerance mechanisms for its effective survival and productivity under high temperature. Induction of osmoprotectants, antioxidants, late embryogenesis abundant proteins, dehydrins, and heat shock proteins are the major factors involved in counteracting the heat shocks. Accumulation of osmolytes such as proline, trehalose, and glycine betaine plays a vital role in imparting tolerance via cellular osmotic adjustment, detoxification of ROS, stabilization of enzymes and membrane proteins [23]. Several enzymatic and non-enzymatic antioxidant defense components are also involved in protection against oxidative stress induced by free radicals [24]. The activities of ROS scavenging enzymes are temperature specific. In general, most of the antioxidant enzymes show increased activity with elevation in temperatures. It is also influenced by genotype, growing season and phenological stages of plant [25]. Under high temperature conditions, several signaling molecules such as nitrous oxide, Ca-dependent protein kinases, Mitogen mediated protein kinase, sugars, and phytohormones play a role in stimulation of stress responsive genes via transduction pathways [26]. Evolving adaptation mechanisms (either tolerance or avoidance) to high temperature and drought would be more rewarding at arid conditions as it is often correlated.
\nAdaptation mechanisms for high temperature tolerance in crop plants.
Breeding for high temperature tolerance requires an essential knowledge on plant adaptation response to heat shocks. In general, the genotypes exhibiting less detrimental effect on photosynthesis and reproductive development tend to survive well under heat prone areas [27]. Involvement of these two components in selection criteria would be beneficial in evolving thermo tolerant cultivars. Tolerant genotypes evolve several morphological, physiological and biochemical alterations in response to heat shocks. Knowledge on sensitivity of several phenological stages to high temperature will pave way for trait specific improvement. High temperature is often correlated with other environmental factors which poses a major limitation for selection under field conditions. At present, varied selection criteria has been developed by scientists, which favors delineation of superior variety at prevailing environment [28]. Heat tolerant index has been evolved for sorghum which depicts the proportion of growth recovery after exposure to high temperature stress. It is the ratio of increase in coleoptile growth in a heat stress environment [50°C] to the enhancement in coleoptile length under normal environment (non-stress) [29]. It proves cost effective and rapid method to screen a large population size within shorter period. A proper validation of such technique would facilitate the development of tolerant lines in other crop species. Pollen viability and fruit set was considered as major selection criteria to predict yield under high temperature stress in tomato [30]. Physiological based trait selection such as harvest index, photosynthetic efficiency, respiration rate, delayed senescence and canopy architecture will also contribute towards increased tolerance to heat stress [31, 32].
\nInter-mating among closely related individuals for improvement of economic traits resulted in decline of genetic variability in a crop species [33]. Characterization of gene pool including land races and wild relatives would offer several tolerant genes for abiotic tolerance. Extensive efforts were made in screening of heat tolerant genotypes which can be directly introduced as a cultivar or utilized to introgress gene into new genetic background [34]. Thermo-tolerant lines were successfully isolated from wild gene pool in wheat [35]. High magnitude of variation was observed in wild progenitor “Aegilops tauschii” of wheat for cell viability and membrane stability [36]. Similarly, a heat tolerant source for reproductive stage was identified in A. geniculata and A. speltoides Tausch which would pave way in development of thermo-tolerant hexaploid wheat cultivars in near future [37]. A higher growth rate and improved photosynthetic efficiency was observed in wild relative “Oryza meridionalis” of rice at high temperature [38]. Indirect selection on pollen viability led to identification of thermo-tolerant accessions in soybean (DG 5630RR) [39], chickpea (ICC15614 & ICC1205) [40], maize (AZ100) [41], and several other crop species. Direct selection based on yield under target environment (heat stress) resulted in development of tolerant lines in many tropical grain legumes. Four tolerant genotypes/accessions viz., SRC-1-12-1-48, SRC-1-12-1-182, 98012-3-1-2-1 and 98020-3-1-7-2 were isolated in common bean by employing stress tolerant indices [42]. Nine thermo-tolerant wild accessions were delineated in USDA upland cotton germplasm by employing chlorophyll fluorescence technique [43].
\nEvolving thermo-tolerance through conventional breeding approach proves promising in many crop species. Breeding for early maturing genotype in broccoli had improved head quality by avoiding heat stress at flowering stage [44]. In general, breeding programmes are carried out in hotter regions which promote selection of thermo-tolerant traits. Physiological based trait breeding was practiced at International Maize and Wheat Improvement Center (CIMMYT) for development of heat tolerant cultivars in wheat. The parental genotypes were characterized through various crossing schemes and appropriate breeding programme was framed for improvement of thermo related traits [45]. A wild ancestor “T. tauschii” was utilized as a gene donor for achieving increased grain size and filling percent under high temperature through recurrent selection [46]. Similarly, three cycles of recurrent selection had led to improved yield under heat stress regimes in potato [47]. Thermo tolerant alleles were introgressed into heat sensitive cultivar “Paymaster 404” from a donor accession “7456” of G. barbadense through backcross breeding [48]. A significant improvement in yield was realized under heat stress environment by adoption of gametic selection in maize [41]. A deep rooted cultivar “Nagina 22 (N22)” of aus rice exhibited high pollen viability and spikelet fertility (64–86%) under heat stress [49]. The thermo-tolerance of N22 was successfully introgressed into Xieqingzao B line through backcross method [50]. Dissecting out the genetic and physiological basis of thermo-tolerance will hasten up the development of resilient cultivars suited to hotter regions.
\nThe genetic basis of thermo-tolerance is not clearly understood because of complex trait inheritance. Advances in molecular approaches such as DNA marker identification and genotyping assay had paved way in determination of several QTL’s associated with high temperature tolerance [51]. In wheat, QTL’s were identified for canopy temperature, and chlorophyll fluorescence imparting tolerance to heat stress [52]. A major QTL “Htg 6.1” in lettuce was involved in enhancement of seed germination capacity at high temperature [53]. A recessive QTL for increased spikelet fertility under high temperature was dissected out in rice at chromosome 4. The identified QTL were found in several populations of heat tolerant rice cultivars [54]. Six QTL’s were involved to enhance fruit set at high temperature in tomato [55]. Five thermo tolerant QTL’s were identified in Brassica campestris by employing random amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP) markers [56]. In maize, eleven major QTL’s for increased pollen germination and pollen tube growth under high temperature was mapped using restriction fragment length polymorphism (RFLP) markers [57]. Identification of candidate QTL’s would pave way in precise introgression of heat tolerant genes into superior cultivars through marker assisted breeding approach.
\nThe closely associated markers with targeted QTL will hasten the recovery of superior genotypes with heat tolerant traits in a population. A marker assisted breeding approach was employed in rice to derive heat tolerant line with superior grain quality. Two flanking markers viz., ktIndel001 and RFT1 enclosing 1.5 Mb chromosomal region was transferred from tolerant cultivar “Kokoromachi” to Tohoku 168. Significant improvement in grain quality under high temperature was observed in the derived NIL’s compared to susceptible cultivar “Tohoku 168” [58]. Fourteen SSR markers linked to heat susceptibility index of grain filling per cent and single kernel weight was identified in bread wheat which was employed in marker assisted selection (MAS) to screen genotypes for thermo tolerance [59]. Utilization of MAS approach for heat tolerance remains less efficient because of high gene x environment and epistatic interactions. The low breeding efficiency can be resolved by genomic selection (GS) approach which involves wide number of molecular markers exhibiting high genome coverage. High genetic gain is realized in GS approach due to close association between predicted and true breeding value over generations [60].
\nAt present, transgenic approach also proves to be desirable tool for designing thermo tolerant lines via introgression of genes from diverse gene pools [61]. The genetic transformation was focused primarily on transcription factors, induction of heat shock proteins, molecular chaperones, osmolytes, antioxidant components and growth regulators [62]. Heat shock proteins play a primary role in imparting thermo tolerance in crop species. It is functionally associated with diverse group of molecular chaperones that is involved in restoration of degraded proteins to their native structure under high temperature. Induction of heat shock proteins through genetic manipulation was achieved in arabidopsis [63], maize [64], rice [65], soybean [66], and pepper [67]. The DREB gene family was also reported to impart heat tolerant response in many crop species. Over expression of ZmDREB2A in maize [68] and GmDREB2A in soybean [69] was associated with increased survival and adaptation under high temperature. Transgenic techniques were employed to alter membrane lipid properties for thermo-tolerance in crop species. High proportion of saturated fatty acid in membrane had increased tolerance under heat stress. Suppression of omega-3 fatty acid desaturase gene in chloroplast had reduced the accumulation of trieonic fatty acid in transgenic tobacco [70] and tomato [71] leading to thermo-tolerance. A significant accumulation of glycine betaine (osmolyte) was achieved in arabidopsis through transfer of “cod gene” from Arthrobacter globiformis [72]. High proportion of glycine betaine protects the PSII component by inhibiting the ROS activities under heat stress. Implementation of transgenic approaches in other crop species will accelerate the development of resilient genotypes suited to high temperature regimes.
\nDevelopment of thermo-tolerant lines has to be prioritized to meet out the future climatic change coupled with food demands. Knowledge on plant response and adaptation mechanisms to heat stress is required for framing out breeding strategies. It remains a challenging task in evolving resilient genotypes suited to high temperature because of less efficient screening protocols at field conditions. The existence of low genetic variation for heat response related traits limited the progress of conventional breeding approach in many crop species. Use of molecular breeding strategies had opened up several heat tolerant related QTL’s in crop species. However, still precise research work involving huge marker data is needed for attaining high breeding efficiency for thermo tolerance. Recently, the involvement of transgenic approach paved way for utilization of tolerant source from diverse gene pools. Study on induction of heat shock proteins led to increased thermo tolerance in many crop species. Similarly, other heat response related traits such as induction of antioxidant components, osmolytes, and chaperones were also included in transgenic approach for inducing heat stress tolerance. Thus, high economic yield could be realized at elevated temperature regimes with the involvement of combined breeding approaches.
\nThe authors are highly thankful to Dr. V. Geethalakshmi, Director, Directorate of Crop Management, Tamil Nadu Agricultural University (TNAU) for her valuable suggestions towards this chapter. We also acknowledge Dr. P. Jayamani, Professor and Head, Department of Pulses, TNAU; Dr. M. Raveendran, Professor and Head, Department of Biotechnology, TNAU; and Dr. K. Ganesamurthy, Professor and Head, Department of Rice, TNAU for rendering supportive documents on high temperature tolerance.
\nThe authors declare no conflict of interest towards this chapter.
The authors express their gratitude to the Directorate of Crop Management for providing scientific support on high temperature tolerance.
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