Resource-intensive Activity Research Articles

Facilitators and barriers to undertaking research into the practice and delivery of clinical ultrasound: A qualitative investigation

IntroductionIncreasing research productivity of clinicians can deliver benefits for healthcare organisations and those who work in them, but a notably larger proportion of ultrasound practitioners are interested in undertaking research than are actively engaged in it. This study aimed to understand this gap by investigating the facilitators and barriers to conducting research in professionals from multiple disciplines whose work is focused on clinical ultrasound. MethodsCurrent and prospective researchers from any discipline interested in or undertaking research into the practice and delivery of clinical ultrasound were recruited between March and June 2023. Participants completed semi-structured qualitative interviews with a researcher via video platform. Data were analysed using reflexive thematic analysis. ResultsTwelve participants (8 women, 4 men) from a range of disciplines participated. Five themes were identified, which were: 1) research is a challenging path, 2) interpersonal networks fuel research, 3) research requires resources, 4) data collection challenges and 5) scientific curiosity. These suggested that 1) participants experienced research as a challenging career path; 2) formal and informal networks provided important knowledge and opportunities; 3) research was a resource–intensive activity, requiring time and funding, and other professional/clinical commitments often took priority; 4) data collection and applying for ethical approval were barriers requiring specialist knowledge to overcome; and 5) personal scientific curiosity and desire for achievement were key drivers motivating participants to continue in research. ConclusionsMotivation for engaging in ultrasound research activity was mainly internal. Additional barriers and facilitators were external, including time, information and interpersonal networks. Implications for practiceOrganisations can increase the likelihood of research activity by ultrasound practitioners by providing allocated research time and social support networks. It may be particularly fruitful to focus on helping prospective researchers bridge the gap between ‘novice’ and ‘beginner’ phases.

Designing an online course using an EXD model: A case of Human–Computer Interaction undergraduate course

Designing an online course is a complex and resource-intensive activity with a focus on pedagogical and technological aspects. One approach is the e-learning experience design (EXD) model, which combines user-experience design concepts, such as agile methodology and design thinking. This study aimed to design a website and activities for an undergraduate human–computer interaction (HCI) online course based on the EXD model and analyze the students' learning experiences. The students' experiences were captured from two online surveys opened during the first weeks (n = 94 students) and at the end of the semester (n = 93). The surveys utilized the e-Learning Usability Questionnaire (EUS) and asked for suggestions to improve the course delivery. In addition, the students rated their experience in pain points when participating in the course. The findings show that adopting the EXD model for an online course design and implementing some design best practices can promote students’ positive attitudes toward the course. The contributions of this study include an example of how an online course can be designed using the EXD model and a description of its effects on student attitudes.

Complex business ecosystem intelligence using AI-powered visual analytics

Business ecosystems are complex, dynamic systems characterized by a multitude of entities, including companies, ventures, and technologies, as well as activities and trends. Understanding the state of business ecosystems is an increasingly critical strategic imperative for many decision makers, but it is a resource-intensive activity as relevant information sources are dispersed, often highly unstructured, and not integrated or curated to deliver actionable insights. In this research, we present the design and implementation of an interactive visual analytic system that integrates artificial intelligence and graph visualization techniques to augment decision makers’ understanding of the complex public narrative associated with business ecosystems entities. Our system is driven by a real-time content engine of 100,000+ global data sources including press releases, news articles, industry reports, analyst blogs in multiple languages organized across several domain-specific repositories. Following a user-specified query, the engine extracts both domain-agnostic and domain-specific entities and concepts for each document in the result set. We then model and visualize the resulting data as a dynamic, multipartite network and implement graph pruning algorithms and interactive data controls to enable users to interactively explore and discover the underlying business ecosystem from multiple perspectives. We illustrate and discuss the value of our system using representative use cases. Our study makes multiple contributions to visual decision support theory and practice, including mining unstructured data, constructing and interacting with knowledge graphs, and designing visual analytic tools for ecosystem intelligence. We conclude the study with implications and future research opportunities.

The carbon cost of inappropriate endoscopy

Digestive endoscopy is a resource-intensive activity with a conspicuous carbon footprint and an estimated rate of inappropriateness. However, the carbon costs of inappropriate endoscopic procedures still remain obscure. Here we evaluated the environmental impact of inappropriate endoscopic examinations. We calculated the carbon cost of a standard endoscopic procedure (EGD and colonoscopy [CLS]), taking into account the items (eg, disposable materials, personal protective equipment) and energy required for the endoscopy procedure itself and the cleaning process. The rates of inappropriateness and the mortality cost of carbon (MCC) of endoscopic examinations in different scenarios were calculated. EGD and CLS presented a carbon cost of 5.43 kg and 6.71 kg of CO2, respectively. Different scenarios were evaluated, according to the number of endoscopic procedures performed in Italy per 1000 inhabitants and the reported data on their inappropriateness. The carbon cost of inappropriate EGD and CLS in Italy was 4133 CO2 metric tons per year (MCC, .93), ranging from 3527 to 4749, and equivalent to 1,760,446 L of gasoline consumed. Applying the same data to the European population, the estimated carbon footprint of inappropriate digestive endoscopy in Europe was 30,804 metric tons. The environmental impact of inappropriate endoscopic procedures in Europe is remarkable. These results highlight the need to adopt novel strategies aimed at reducing both the carbon footprint of digestive endoscopy and the rate of inappropriate procedures.

A Comparative Analysis between Heuristic and Data-Driven Water Management Control for Precision Agriculture Irrigation

Modeling and control theory applied to precision agriculture irrigation systems have been essential to reduce water consumption while growing healthy crops. Specifically, implementing closed-loop control irrigation based on soil moisture measurements is an effective approach for obtaining water savings in this resource-intensive activity. To enhance this strategy, the work presented in this paper proposed a new set of water management strategies for the case in which multiple irrigation areas share a single water supply source and compared them with heuristic approaches commonly used by farmers in practice. The proposed water allocation algorithms are based on techniques used in real-time computing, such as dynamic priority and feedback scheduling. Therefore, the multi-area irrigation system is presented as a resource allocation problem with availability constraints, where water consumption represents the main optimization parameter. The obtained results show that the data-driven water allocation strategies preserve the water savings for closed-loop control systems and avoid crop water stress due to the limited access to irrigation water.

A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks.

Recently, research into Wireless Body-Area Sensor Networks (WBASN) or Wireless Body-Area Networks (WBAN) has gained much importance in medical applications, and now plays a significant role in patient monitoring. Among the various operations, routing is still recognized as a resource-intensive activity. As a result, designing an energy-efficient routing system for WBAN is critical. The existing routing algorithms focus more on energy efficiency than security. However, security attacks will lead to more energy consumption, which will reduce overall network performance. To handle the issues of reliability, energy efficiency, and security in WBAN, a new cluster-based secure routing protocol called the Secure Optimal Path-Routing (SOPR) protocol has been proposed in this paper. This proposed algorithm provides security by identifying and avoiding black-hole attacks on one side, and by sending data packets in encrypted form on the other side to strengthen communication security in WBANs. The main advantages of implementing the proposed protocol include improved overall network performance by increasing the packet-delivery ratio and reducing attack-detection overheads, detection time, energy consumption, and delay.

The Current Understanding of Service Innovation

Context: Universities are among the best places to foster innovation and provide services, as they are in close contact with clients. In order to offer the best possible services, they need to be innovative in their respective fields. Service innovation is widely recognized as one of the three strategic research priorities of service institutions. Given the vast number and types of services available, various models are adopted to achieve this goal. Evidence Acquisition: This article aims to provide a critical review of the available service innovation models and propose a comprehensive service innovation model. To achieve this objective, relevant keywords were used to conduct a literature search in databases. Initially, 1504 studies were obtained, and after a screening process, only 10 studies that were most relevant to the study's purpose were selected. Results: The model proposed in this study is an integrated form of service innovation models, encompassing the process, dimensions, required infrastructures, capabilities, and the types and outcomes of service innovation, which are discussed separately in other models. Conclusions: Service innovation is a complex and resource-intensive activity with potential long-term benefits for firms in both service and manufacturing industries. If a service company aims to establish a more sustainable strategic position based on innovation, it should examine its management process for physical, organizational, and intellectual resources.

Colectomy reconstruction for ulcerative colitis in Sweden and England: a multicenter prospective comparison between ileorectal anastomosis and ileal pouch-anal anastomosis after colectomy in patients with ulcerative colitis. (CRUISE-study)

BackgroundThere are no prospective trials comparing the two main reconstructive options after colectomy for Ulcerative colitis, ileal pouch anal anastomosis and ileorectal anastomosis. An attempt on a randomized controlled trial has been made but after receiving standardized information patients insisted on choosing operation themselves.MethodsAdult Ulcerative colitis patients subjected to colectomy eligible for both ileal pouch anastomosis and ileorectal anastomosis are asked to participate and after receiving standardized information the get to choose reconstructive method. Patients declining reconstruction or not considered eligible for both methods will be followed as controls. The CRUISE study is a prospective, non-randomized, multi-center, open-label, controlled trial on satisfaction, QoL, function, and complications between ileal pouch anal anastomosis and ileorectal anastomosis.DiscussionReconstruction after colectomy is a morbidity-associated as well as a resource-intensive activity with the sole purpose of enhancing function, QoL and patient satisfaction. The aim of this study is to provide the best possible information on the risks and benefits of each reconstructive treatment.Trial registrationClinicalTrials.gov Identifier: NCT05628701

Improving perioperative management of surgical sets for trauma surgeries: the 4S approach

BackgroundThe perioperative management of the surgical instruments and implants that comprise sets for trauma surgeries has been identified as a complex and resource-intensive activity due to non-standardized inventories, redundant surgical instruments and unnecessary sterilization cycles. The 4S Intelligent Trauma Care program aims to improve perioperative management and thereby reduce environmental impact by utilizing standardized inventories, a sterile implant portfolio, a barcode that enables a digital safety certification, and a digitized restocking service.ObjectiveThe objective of this study was to investigate the impact of the introduction of the 4S program for the management of surgical sets in open reduction internal fixation (ORIF) trauma surgeries.MethodsThis was a single-center, quality improvement study of ORIF trauma surgeries, comparing the current practice (30 procedures) to the procedure following the introduction of the 4S program (30 procedures). The primary outcome was the proportion of procedures requiring only one sterilization cycle. Secondary outcomes were the number of sterilization cycles per procedure, set processing time across departments, total set processing costs, number of missing or damaged implants, number of cleaning cycles per procedure, time taken to assemble containers for sterilization, number of containers entering the autoclave per procedure, environmental impact, number of baskets entering the cleaning machine per procedure, and staff satisfaction.ResultsIntroduction of the 4S program resulted in a reduction in the mean number of sterilization cycles required from 2.1 to 1.0 (p < 0.001). In the current practice, only 30.0% of procedure sets were sterilized within one cycle, compared to 100.0% following introduction of the 4S program (p < 0.001). A reduction in the mean set processing time of 24.1% in the OR and 35.3% in the sterilization department was observed. Mean set processing costs for the current practice were €81.23, compared to €50.30 following introduction of the 4S program. Furthermore, following the introduction of the 4S program, procedures were associated with significant reductions in water and electricity usage, and increased staff satisfaction.ConclusionsThis quality improvement study demonstrates the substantial time and cost savings, positive environmental impact and staff satisfaction that could be achieved by streamlining surgical set management through the 4S program. To our knowledge, this is the first study of this type and our findings may be instructive to other hospitals and surgical specialties.

Emotions from Contradictory Demands: Individual Coping Patterns and Differential Effects Over Time

Contemporary organizations tend to pursue multiple and contradictory demands. In consequence, individuals working in these organizations often have to oscillate between seemingly opposing tasks and thought worlds, a resource intensive activity associated with considerable personal strain. We theorize this kind of switching as giving rise to negative affect, which induces emotional work shaped by individuals’ need to conserve their resources. We synthesize our theorizing in a model that explains how different emotional coping patterns lead to different consequences for individuals and the wider organization at specific moments in time and over time. We contribute to literature on how individuals grapple with multiple and contradictory demands in organizations, which to date has foregrounded rational over emotion-centered responses in dealing with tensions and paid little attention to explaining the interplay between individual and organizational resource depletion over time. Our theorizing is particularly relevant for understanding how individuals and organizations can establish a positive ‘new normal’ after major disruptions, as such situations often intensify tensions and leave organization members without much guidance on how to cope constructively.

Reducing the environmental footprint of gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) and European Society of Gastroenterology and Endoscopy Nurses and Associates (ESGENA) Position Statement.

Climate change and the destruction of ecosystems by human activities are among the greatest challenges of the 21st century and require urgent action. Health care activities significantly contribute to the emission of greenhouse gases and waste production, with gastrointestinal (GI) endoscopy being one of the largest contributors. This Position Statement aims to raise awareness of the ecological footprint of GI endoscopy and provides guidance to reduce its environmental impact. The European Society of Gastrointestinal Endoscopy (ESGE) and the European Society of Gastroenterology and Endoscopy Nurses and Associates (ESGENA) outline suggestions and recommendations for health care providers, patients, governments, and industry. MAIN STATEMENTS 1: GI endoscopy is a resource-intensive activity with a significant yet poorly assessed environmental impact. 2: ESGE-ESGENA recommend adopting immediate actions to reduce the environmental impact of GI endoscopy. 3: ESGE-ESGENA recommend adherence to guidelines and implementation of audit strategies on the appropriateness of GI endoscopy to avoid the environmental impact of unnecessary procedures. 4: ESGE-ESGENA recommend the embedding of reduce, reuse, and recycle programs in the GI endoscopy unit. 5: ESGE-ESGENA suggest that there is an urgent need to reassess and reduce the environmental and economic impact of single-use GI endoscopic devices. 6: ESGE-ESGENA suggest against routine use of single-use GI endoscopes. However, their use could be considered in highly selected patients on a case-by-case basis. 7: ESGE-ESGENA recommend inclusion of sustainability in the training curricula of GI endoscopy and as a quality domain. 8: ESGE-ESGENA recommend conducting high quality research to quantify and minimize the environmental impact of GI endoscopy. 9: ESGE-ESGENA recommend that GI endoscopy companies assess, disclose, and audit the environmental impact of their value chain. 10: ESGE-ESGENA recommend that GI endoscopy should become a net-zero greenhouse gas emissions practice by 2050.

Potential quantitative effect of a laboratory-based approach to Lyme disease surveillance in high-incidence states.

Historically, public health surveillance for Lyme disease has required clinical follow-up on positive laboratory reports for the purpose of case classification. In areas with sustained high incidence of the disease, this resource-intensive activity yields a limited benefit to public health practice. A range of burden-reducing strategies have been implemented in many states, creating inconsistencies that limit the ability to decipher trends. Laboratory-based surveillance, or surveillance based solely on positive laboratory reports without follow-up for clinical information on positive laboratory reports, emerged as a feasible alternative to improve standardization in already high-incidence areas. To inform expectations of a laboratory-based surveillance model, we conducted a retrospective analysis of Lyme disease data collected during 2012-2018 from 10 high-incidence states. The number of individuals with laboratory evidence of infection ranged from 1302 to 20,994 per state and year. On average, 55% of those were ultimately classified as confirmed or probable cases (range: 29%-86%). Among all individuals with positive laboratory evidence, 18% (range: 2%-37%) were determined to be 'not a case' upon investigation and 23% (range: 2%-52%) were classified as suspect cases due to lack of associated clinical information and thus were not reported to the Centers for Disease Control and Prevention (CDC). The number of reported cases under a laboratory-based approach to surveillance in high-incidence states using recommended two-tier testing algorithms is likely to be, on average, 1.2 times higher (range: 0.6-1.8 times) than what was reported to CDC during 2012-2018. A laboratory-based surveillance approach for high-incidence states will improve standardization and reduce burden on public health systems, allowing public health resources to focus on prevention messaging, exploration of novel prevention strategies and alternative data sources to yield information on the epidemiology of Lyme disease.

A Computer Vision System for Staff Gauge in River Flood Monitoring

Rivers close to populated or strategically important areas can cause damages and safety risks to people in the event of a flood. Traditional river flood monitoring systems like radar and ultrasonic sensors may not be completely reliable and require frequent on-site human interventions for calibration. This time-consuming and resource-intensive activity has attracted the attention of many researchers looking for highly reliable camera-based solutions. In this article we propose an automatic Computer Vision solution for river’s water-level monitoring, based on the processing of staff gauge images acquired by a V-IoT device. The solution is based on two modules. The first is implemented on the edge in order to avoid power consumption due to the transmission of poor quality frames, and another is implemented on the Cloud server, where the frames acquired and sent by the V-IoT device are processed for water level extraction. The proposed system was tested on sample images relating to more than a year of acquisitions at a river site. The first module of the proposed solution achieved excellent performances in discerning bad quality frames from good quality ones. The second module achieved very good results too, especially for what it concerns night frames.

Genomic background selection to reduce the mutation load after random mutagenesis

Random mutagenesis is a standard procedure to increase allelic variation in a crop species, especially in countries where the use of genetically modified crops is limited due to legal constraints. The chemical mutagen EMS is used in many species to induce random mutations throughout the genome with high mutation density. The major drawback for functional analysis is a high background mutation load in a single plant that must be eliminated by subsequent backcrossing, a time and resource-intensive activity. Here, we demonstrate that genomic background selection combined with marker-assisted selection is an efficient way to select individuals with reduced background mutations within a short period. We identified BC1 plants with a significantly higher share of the recurrent parent genome, thus saving one backcross generation. Furthermore, spring rapeseed as the recurrent parent in a backcrossing program could accelerate breeding by reducing the generation cycle. Our study depicts the potential for reducing the background mutation load while accelerating the generation cycle in EMS-induced winter oilseed rape populations by integrating genomic background selection.

Evaluating the Waste Prevention Potential of a Multi- versus Single-Use Surgical Stapler.

PurposeWithin the hospital, surgery is recognized as a resource-intensive activity that disproportionately generates large volumes of healthcare waste. Single-use, disposable medical supplies contribute substantially to this problem, and more broadly to the depletion of scarce resources. Given that many surgical procedures utilize surgical stapling techniques, this study uses surgical stapling systems as functional units for evaluating the waste prevention potential of switching from single-use systems (SUSs) to multi-use systems (MUSs).Materials and MethodsTwo frequently used surgical stapling systems, Ethicon’s SUS: ECHELON FLEX™ and Medtronic’s MUS: Signia™ Stapling Technology, were mechanically deconstructed to their individual raw material components to calculate the composition of each system. Total waste as well as extended resource use (the total material requirement [TMR]) were then calculated for three different surgical procedures; laparoscopic sleeve gastrectomy, laparoscopic gastric bypass, and video-assisted thoracoscopic (VATS) lobectomy. The differences in outcomes for SUSs versus MUSs were then calculated.ResultsFor each surgical procedure considered, switching from a SUS to a MUS led to a reduction in total waste accumulated per procedure and TMR. Reductions in waste were 40% (sleeve gastrectomy), 70% (gastric bypass), and 62% (VATS lobectomy). The TMR reductions were higher, at 92% (sleeve gastrectomy), 96% (gastric bypass), and 95% (VATS lobectomy). Both waste and TMR reduction were realized with the MUS system as long as the reusable parts were used more than four times. This was true for all analyzed surgical procedures.ConclusionSwitching from a SUS to MUS facilitates a reduction in total surgical waste and TMR for sleeve gastrectomy, gastric bypass, and VATS lobectomy surgical procedures.

An empirically informed agent-based model of a Nepalese smallholder village

Agent-based modelling methodologies offer a number of advantages when it comes to socio-ecological systems research. In particular, they enable experiments to be conducted that are not practical or feasible to conduct in real world settings; they can capture heterogeneity in agent circumstances, knowledge, behaviour, and experiences; and they facilitate a multi-scale, causal understanding of system dynamics. However, developing detailed, empirically informed agent-based models is typically a time and resource intensive activity. Here, we describe a detail-rich, ethnographically informed agent-based model of a Nepalese smallholder village that was created for the purpose of studying the impact of multiple stressors on mountain communities. In doing so, we aim to make the model accessible to other researchers interested in simulating such communities and to provide inspiration for other socio-ecological system modellers.•The model is described using the ODD protocol.•The number of replicate runs required for experiments is discussed, and the model validation and sensitivity analysis processes that have been conducted are explained.•Suggestions are made for how the model can practically be used and for how model outputs can be analysed.

Developing a Framework for Data Communication in a Wireless Network using Machine Learning Technique

The emergence of Internet of Things (IoT) has become a huge innovation for utilizing the enormous power of wireless media. The adaptation of smart devices, with intelligent networking, has greatly enhanced the traffic of the IoT environment. The present security mechanism is primarily focusing on specific areas such as content filtering, monitoring techniques, and anomaly detection. A vulnerability reflects the inability of a network that allows an attacker to detect the extent of existing mechanism of security. The existing techniques focused on specific attacks rather than monitoring the whole network. However, there is a demand for a framework to govern and protect data and services in IoT network. Anomaly detection framework is a resource intensive activity to protect data and services of IoT / Wireless Sensor Networks (WSN). It supports application layer of IoT network and traces it frequently to find the existence of malicious activities. In this study, researchers proposed an anomaly detection framework to safeguard against wireless attacks. The proposed framework has employed a machine learning technique to detect the traces of wireless attacks. It supports IoT based networks to monitor the functionalities of the resources. In addition, it discusses the open challenges in IoT networks with possible solutions. Researchers employed a test bed for evaluating the proposed framework. The outcome of the study shows that the proposed framework provides better services with more security.

An innovative method for characterizing neutralizing antibodies against antibody-derived therapeutics

Detection of anti-drug antibodies (ADA) that have a neutralizing capacity is an important aspect of immunogenicity evaluation during development of biotherapeutics, but developing and validating neutralizing antibody (NAb) assays that show direct interference of a biologic function is a challenging and resource-intensive activity. In particular, the need for adequate drug and target tolerance often requires extensive pre-treatment steps that limit assay sensitivity compared with a typical bridging-format assay used to detect binding ADA. Such limitations may complicate data interpretation as a positive ADA followed by a negative NAb result could be due to the presence of non-neutralizing antibodies or could be a false-negative for NAbs due to methodology differences.To address such issues, we developed a novel assay for Nanobodies® and other antibody-derived therapeutics that solely detects ADA directed against the complementarity-determining regions (CDRs) involved in drug-target interactions. This was achieved by creating a “null variant” of the therapeutic drug, which has mutated CDRs rendering it non-functional for target binding but is otherwise identical to the drug compound. Non-CDR-binding antibodies are pre-complexed with the null variant of the Nanobody leaving only CDR-binding ADA with neutralizing potential (ANP) to be detected in this assay, which is called a NAb Epitope Characterization Assay (NECA). Method qualification results confirmed highly comparable assay characteristics (sensitivity, drug tolerance, selectivity and precision) of both the NECA and a validated ADA assay for the same Nanobody. A panel of purified neutralizing and non-neutralizing antibodies as well as non-clinical and clinical samples were used to further substantiate the fit-for-purpose and advantages of this novel assay format to detect ANP. In the clinical case study, a 20 to 40-fold difference in assay sensitivity existed between the validated ADA assay and NAb assay, which complicated data interpretation. Implementation of the NECA allowed unambiguous comparison of the levels of binding ADA and ANP in study samples which enabled us to delineate the true neutralizing capacity of the responses. Depending on the risk of the therapeutic, this method could be a valuable alternative for NAb testing by enabling earlier detection of ADA with neutralizing potential and ensuring adequate immunogenicity risk assessment.

Impacts of projected climate change scenarios on heating and cooling demand for industrial broiler chicken farming in the Eastern U.S

Industrial poultry production is a resource-intensive activity due to specific indoor temperature requirements to ensure optimal chicken growth. The energy consumption to maintain this ideal microclimate demands substantial operating expenses that are subject to climate conditions. As such, energy demand for heating and cooling (HVAC) for commercial broiler chicken production may be influenced by increased temperatures that occur due to climate change. This study focuses on evaluating the effects of climate change on future HVAC demands in a typical commercial broiler house in the Eastern U.S. To estimate such demands, we developed a simplified thermodynamic model that uses downscaled air temperature as input. These inputs stemmed from twenty General Circulation Models (GCM) for business-as-usual (RCP 8.5) and moderate (RCP 4.5) climate change scenarios. Our results indicate that increased temperatures from climate change scenarios by mid-century will increase energy demand for cooling by 5.5 ± 1.8% (RCP 4.5) and 6.6 ± 2.1% (RCP 8.5), and reduce energy demand for heating by 9.0 ± 3.2% (RCP 4.5) and 10.3 ± 3.7% (RCP 8.5) with respect to 2018. Furthermore, our results suggest that warmer temperatures under climate change will substantially increase water withdrawals for evaporative cooling. However, there may be a point where cooling pads may not be efficient enough to cool down chickens and other innovative alternatives may be required. Such changes could include the use of air conditioning units, which would further increase electricity demand. Efficiency improvements that could mitigate some of the negative changes in energy demand could include increasing the size of the house, modifying the production schedule to minimize energy use, and adding insulation.

Can a speed breeding approach accelerate genetic gain in pigeonpea?

Pure line breeding is a resource-intensive activity that takes 10 years or more to develop a new cultivar. In some crops, conducting off-season nurseries has significantly reduced the length of the breeding cycle. This approach could not be exploited in pigeonpea [Cajanus cajan (L.) Millsp.], because traditionally it has been a photoperiod-sensitive crop that requires long periods of darkness to induce flowering. However, the recent success of breeding early maturing photoperiod-insensitive genotypes has opened up the possibility of adopting ‘speed breeding’ techniques to enable rapid generation turnover. This paper outlines a speed breeding approach that integrates the use of immature seed germination for rapid generation advancement and a “single pod descent” method of breeding. To accelerate line development, while conserving genetic variability, the approach permits four generations per year and can fast-track field evaluation of resulting homozygous lines. Therefore, the breeding strategy conserves resources and has potential to deliver new early maturing cultivars within a substantially reduced timeframe of 4–5 years.