A field study was conducted to evaluate the effect of organic mulches and tillage practices on growth, yield of cluster bean and soil physical properties. Experiment was comprised of two factors: A (Tillage), B (Mulch...A field study was conducted to evaluate the effect of organic mulches and tillage practices on growth, yield of cluster bean and soil physical properties. Experiment was comprised of two factors: A (Tillage), B (Mulches). Factor A was assigned to main plot and consisted of two treatments (Minimum tillage and Conventional tillage). Factor B was assigned to sub plot and consisted of four treatments (no mulch, wheat straw mulch, grass clipping mulch and saw dust mulch). The mulching materials were partially incorporated in the field after germination of crop. The experiment was laid out in Randomized Complete Block Design (RCBD) with split plot arrangement having three replications. Control treatment was kept for comparison. All other agronomic practices were kept standardized and consistent for all the treatments. Data regarding growth and yield components were collected and analyzed statistically by fisher analysis of variance and treatment significance was measured by significant difference test at 5% probability level. The factors, tillage and mulches significantly affected growth, yield, yield parameters and soil physical properties. Maximum plant population (31.7 m<sup>2</sup>), plant height (159 cm), branches per plant (18.9), cluster per plant (15.88), grains per pod (7.3), 1000-grain weight (34.6 g), grain yield (1.9 t•ha<sup>-1</sup>), biological yield (9.91 t•ha<sup>-1</sup>) and harvest index (19.15) was recorded in conventional tillage comparative to minimum tillage. Mulches also affected grain yield, and maximum grain yield was recorded in wheat straw mulch (1.88 t•ha<sup>-1</sup>) followed by grass clipping mulch (1.81 t•ha<sup>-1</sup>) and saw dust mulch (1.76 t•ha<sup>-1</sup>) while minimum grain yield was recorded in control without mulch application (1.67 t•ha<sup>-1</sup>). Tillage and mulches interactively affect pH, soil organic matter contents, electrical conductivity and soil bulk density. Mulches and minimum tillage improved soil physical properties. Highest BCR was obtained from conventional tillage without mulch and lowest calculated from minimum tillage with saw dust application. The conclusion is that the mulching and conventional tillage improves cluster bean yield about 1%.展开更多
Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of invasion.In recent decade,several t...Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of invasion.In recent decade,several techniques are presented to address these challenges over well-known data-sets.This study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few decades.It divides the research on fingerprint into nine different approaches including feature based,fuzzy logic,holistic,image enhancement,latent,conventional machine learning,deep learning,template matching and miscellaneous tech-niques.Among these,deep learning approach has outperformed other approaches and gained significant attention for future research.By reviewing fingerprint literature,it is historically divided into four eras based on 106 referred papers and their cumulative citations.展开更多
文摘A field study was conducted to evaluate the effect of organic mulches and tillage practices on growth, yield of cluster bean and soil physical properties. Experiment was comprised of two factors: A (Tillage), B (Mulches). Factor A was assigned to main plot and consisted of two treatments (Minimum tillage and Conventional tillage). Factor B was assigned to sub plot and consisted of four treatments (no mulch, wheat straw mulch, grass clipping mulch and saw dust mulch). The mulching materials were partially incorporated in the field after germination of crop. The experiment was laid out in Randomized Complete Block Design (RCBD) with split plot arrangement having three replications. Control treatment was kept for comparison. All other agronomic practices were kept standardized and consistent for all the treatments. Data regarding growth and yield components were collected and analyzed statistically by fisher analysis of variance and treatment significance was measured by significant difference test at 5% probability level. The factors, tillage and mulches significantly affected growth, yield, yield parameters and soil physical properties. Maximum plant population (31.7 m<sup>2</sup>), plant height (159 cm), branches per plant (18.9), cluster per plant (15.88), grains per pod (7.3), 1000-grain weight (34.6 g), grain yield (1.9 t•ha<sup>-1</sup>), biological yield (9.91 t•ha<sup>-1</sup>) and harvest index (19.15) was recorded in conventional tillage comparative to minimum tillage. Mulches also affected grain yield, and maximum grain yield was recorded in wheat straw mulch (1.88 t•ha<sup>-1</sup>) followed by grass clipping mulch (1.81 t•ha<sup>-1</sup>) and saw dust mulch (1.76 t•ha<sup>-1</sup>) while minimum grain yield was recorded in control without mulch application (1.67 t•ha<sup>-1</sup>). Tillage and mulches interactively affect pH, soil organic matter contents, electrical conductivity and soil bulk density. Mulches and minimum tillage improved soil physical properties. Highest BCR was obtained from conventional tillage without mulch and lowest calculated from minimum tillage with saw dust application. The conclusion is that the mulching and conventional tillage improves cluster bean yield about 1%.
基金This work was supported by the National ICT R&D(NICTRDF/NGIRI/2012-13/Corsp/3)University of Management&Technology,Pakistan.
文摘Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of invasion.In recent decade,several techniques are presented to address these challenges over well-known data-sets.This study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few decades.It divides the research on fingerprint into nine different approaches including feature based,fuzzy logic,holistic,image enhancement,latent,conventional machine learning,deep learning,template matching and miscellaneous tech-niques.Among these,deep learning approach has outperformed other approaches and gained significant attention for future research.By reviewing fingerprint literature,it is historically divided into four eras based on 106 referred papers and their cumulative citations.