Revealing Seed Coat Colour Variation and Their Possible Association with Seed Yield Parameters in Common Vetch ( Vicia sativa

The seed coat colour variation of 70 common vetch genotypes were determined by using uniform colour scale (L⁎a⁎b⁎) and their possible correlation with seed yield parameters including the number of pods per plant, the number of seeds per pod, pod dimension, and seed yield (kg/da) was determined. The results revealed presence of highly significant (p<0.01) variations for both the seed yield and the seed coat colour parameters measured. The number of pods per plant, the number of seeds per pod, and seed yield ranged from 5.8 to 16.03, from 5.2 to 7.66, and from 143.37 to 531.1, respectively. The lightness value varied from 19.00 to 40.28 while chromaticity a⁎ and b⁎ values ranged from −0.16 to 8.99 and from 0.79 to 22.11, respectively. The highest correlation coefficients were determined between b⁎ and L⁎ (r=0.73), and a⁎ and L⁎ (r=0.55). The seed coat colour traits and seed yield parameters generally showed weak negative correlations. Seed yellowness (b⁎) and seed yield had correlation coefficient of −0.25, while correlation between L⁎ and seed yield was determined as −0.23. The results indicated that lightness and yellowness of seed coat may be used as an important parameter to prescreen high yield genotypes of common vetch

Genetic variability for seed nutritional composition in pearl millet genotypes analyzed by biplot method

This study evaluated the chemical composition of pearl millet seeds belonging to different genotypes by biplot analysis. Seeds of 26 different pearl millet populations obtained from ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) within the scope of TÜBİTAK 219O103 run by Şırnak University were used. The seeds were ground and analyzed for their chemical composition, i.e., acid detergent fiber (ADF), neutral detergent fiber (NDF), crude protein (CP), digestible dry matter (DDM) and dry matter intake (DMI) rate. The results revealed that crude protein ratio varied between 11.74-19.24%, whereas ADF ratio differed between 3.44-11.43%. Similarly, NDF ratio varied between 10.23-23.47%, while DDM ratio ranged between 79.98-86.21%. Likewise, DMI ratio differed between 5.11-11.72%. Scatter plot obtained after biplot analysis indicated three different groups based on the analyzed traits. The first group contained DDM and DMI, whereas the second group consisted of ADF and NDF. The protein ratio was in the third group. It was determined that ADF-NDF and DMI-DDM properties were negatively correlated with each other. According to biplot, genotypes ‘A5-13’, ‘A13-6’ and ‘B1-7’ were prominent for ADF -NDF, DMI-DDM, and protein ratio, respectively. Therefore, these genotypes can be used in future studies to induce the desired traits

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination

Salt and pepper (SAP) noise elimination is a crucial step for further image processing and pattern recognition applications. The main aim of this article is to propose a novel SAP noise elimination method which employs a regression-based neuro-fuzzy network for highly corrupted gray scale and color images. In the proposed method, multiple neuro-fuzzy filters trained with artificial bee colony algorithm is combined with a decision tree algorithm. The performance of the proposed filter is compared with a number of well known methods with respect to popular metrics including, structural similarity index, peak signal-to-noise ratio, and correlation on well known test images. The results reveal that the proposed filter has superior performance in terms of all comparison metrics

PROCESS PLANNING AND WEIGHTED SCHEDULING WITH WNOPPT WEIGHTED DUE-DATE ASSIGNMENT USING HYBRID SEARCH FOR WEIGHTED CUSTOMERS

Although scheduling with due date assignment and, integrated process planning and scheduling are two popular topics studied by researchers, there are few works on the integration of process planning, scheduling, and due date assignment. In this study integration of process planning and scheduling with the weighted due date, the assignment is studied. Different level of integration of these three functions is tested. As a solution techniques random search and hybrid search are applied. The hybrid search starts with random search and continues with the genetic search. Search results are compared with ordinary solutions and searches are found very useful and hybrid search outperformed random search. Hybrid search with full integration combination found as the best combination.&nbsp

Forage Yield Stability of Common Vetch (Vicia sativa L.) Genotypes in the Cukurova and GAP Regions of Turkey

WOS: 000266361100003Improving forage production for an expanding livestock population is essential in the Cukurova and GAP (South-eastern Anatolia Project) regions of Turkey. Feed shortages, especially evident during winter, can be alleviated by introducing high yielding common vetch (Vicia sativa L.) cultivars into crop rotations. The objectives of this research were to determine the genotype x environment interactions and stability parameters for hay yield of 15 vetch lines and cultivars. The vetch genotypes were evaluated in the Cukurova (2 locations for 3 years) and South-eastern Anatolia (1 location for 2 years) regions. In the South-eastern Anatolia region, the rainfall limits plant growth, while the Cukurova region has much better soil and climatic conditions. Since local climatic variation is significant, each location in each year is treated as a separate environment, to give 8 environments. Linear regression techniques were used to analyse genotype x environment interactions (C x E). The hay yield was significantly different between genotypes and environments. while a genotype x environment interaction was present. The variation amongst environments was highly significant, and the mean hay yield ranged from 7453 kg ha(-1), in Dogankent (2002-03), to 2687 kg ha(-1), in Balcali (200304). The genotypes V7' and V12% which had regression coefficients significantly greater than 1.0 and produced mean hay yields above the overall mean, were well adapted to favourable environments. Three entries (V5, V9, and V10) possessed regression coefficients significantly less than 1.0, with hay yield above the grand mean, suggesting that these genotypes were better adapted to poor environments and insensitive to environmental change. Our study demonstrated that previously selected genotypes and cultivars can be successfully grown and make a significantly positive contribution to animal husbandry in the Cukurova and Southeastern Anatolia regions.Ministry of Agriculture and Rural AffairsGida Tarim Ve Hayvancilik BakanligiThis research was funded by the Ministry of Agriculture and Rural Affairs. The authors wish to thank the Directories of the Cukurova Agricultural Research Institute, and the South-eastern Anatolia Training and Extension Research Centre, and to the Deanery of Agriculture Faculty of Qukurova University for their help