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Micro RNAs (miRNAs) are small non-coding RNAs molecules having approximately 18-25 nucleotides, they are present in both plants and animals genomes. MiRNAs have diverse spatial expression patterns and regulate various developmental metabolisms, stress responses and other physiological processes. The dynamic gene expression playing major roles in phenotypic differences in organisms are believed to be controlled by miRNAs. Mutations in regions of regulatory factors, such as miRNA genes or transcription factors (TF) necessitated by dynamic environmental factors or pathogen infections, have tremendous effects on structure and expression of genes. The resultant novel gene products presents potential explanations for constant evolving desirable traits that have long been bred using conventional means, biotechnology or genetic engineering. Rice grain quality, yield, disease tolerance, climate-resilience and palatability properties are not exceptional to miRN Asmutations effects. There are new insights courtesy of high-throughput sequencing and improved proteomic techniques that organisms’ complexity and adaptations are highly contributed by miRNAs containing regulatory networks. This article aims to expound on how rice miRNAs could be driving evolution of traits and highlight the latest miRNA research progress. Moreover, the review accentuates miRNAs grey areas to be addressed and gives recommendations for further studies.
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...Open Access Research Paper
The advancement of both society and the economy may be traced back to the industrial sector. Businesses and academic institutions alike have shown considerable enthusiasm for the Industry 4.0 initiative. Although “Industry 4.0” as a concept has been explored in academic circles for some time, it is only recently that the term has become popular in both academic and industrial settings. Academic studies, on the other hand, aim to better the industrial sector by clarifying the meaning of the concept and developing relevant systems, business models, and methodologies. Businesses need a thorough understanding of the features and substance of Industry 4.0 in order to make the transition from machine-dominated to digital production. These data will be useful when they formulate a plan. Along this route, there have been many discussions and plans put forth. The rapid progress of industrial science is linked to this ailment. This paper conducts a literature review to investigate the relationship between Industry 4.0 and the development of industrial engineering science, the challenges that this field faces, and the impact that the industrial revolution had on human resources, all of which contributed to the emergence of Industry 4.0. To improve productivity, efficiency, and unemployment, the concept merges digital technologies, the Internet, and conventional industries. Moreover, some of the ramifications concern the detrimental effects of Industry 4.0 on human resources. The fundamental objective is to furnish labor forces with tools by expanding employment and spawning new avenues for business ownership across several industries and institutional configurationsA systematic review of the implementation of Industry 4.0 in human resources
A systematic review of the implementation of Industry 4.0 in human resourcesBOHR International Journal of Operations Management Research and Practices
Capsicum annuum L. is the extensively cultivated species of peppers (chilies) in all over the world. Its fruits are used for spiciness (capsaicin) and color (capsanthin) in our daily foods. Pakistan is the leading chili consuming country. Genetic divergence among 25 accessions (local and exotic) collected from Ayub Agriculture Research Institute (AARI) Faisalabad, Pakistanwas estimated from the data collected during the year 2014 in the Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Pakistan for different morphological and growth parameters viz fruit width, fruit length, peduncle length, number of primary branches, inter nodal length, plant height, seed index, 1000 seed weight, fresh and dry fruit weight, pericarp thickness, leaf area and seeds per fruit. Based on this characterization the plants were grouped into 5 clusters and diversity among accessions was indicated by the wide range of D2 values whereas phenotypic correlation for all the characters was found significant. Five components were selected as principle components with Eigen values > 1. These components exhibited 77.2% of the variation. The first principal component (PC I) explained 27.2% of total variation in original data, second component (PC II) explained 18.9%, and third principal component (PC III) explained 12.5% of variation. The other principal components (PC IV and PC V explained an additional 18.6% of the variation (a total 77.2% of explained variation. Accessions with distinct identity were marked, which are likely to be quite suitable for breeding through hybridization by combining desirable traits. High estimates of broad sense heritability (90%) for all the characters except peduncle length predicted that selection could be awarding in late segregating generations and above accessions could be utilized in hybridization programme for C. annuum crop improvement.
Genetic diversity and association analysis for different morphological traits...
Genetic diversity and association analysis for different morphological traits...Open Access Research Paper
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Micro RNAs (miRNAs) are small non-coding RNAs molecules having approximately 18-25 nucleotides, they are present in both plants and animals genomes. MiRNAs have diverse spatial expression patterns and regulate various developmental metabolisms, stress responses and other physiological processes. The dynamic gene expression playing major roles in phenotypic differences in organisms are believed to be controlled by miRNAs. Mutations in regions of regulatory factors, such as miRNA genes or transcription factors (TF) necessitated by dynamic environmental factors or pathogen infections, have tremendous effects on structure and expression of genes. The resultant novel gene products presents potential explanations for constant evolving desirable traits that have long been bred using conventional means, biotechnology or genetic engineering. Rice grain quality, yield, disease tolerance, climate-resilience and palatability properties are not exceptional to miRN Asmutations effects. There are new insights courtesy of high-throughput sequencing and improved proteomic techniques that organisms’ complexity and adaptations are highly contributed by miRNAs containing regulatory networks. This article aims to expound on how rice miRNAs could be driving evolution of traits and highlight the latest miRNA research progress. Moreover, the review accentuates miRNAs grey areas to be addressed and gives recommendations for further studies.
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...
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The advancement of both society and the economy may be traced back to the industrial sector. Businesses and academic institutions alike have shown considerable enthusiasm for the Industry 4.0 initiative. Although “Industry 4.0” as a concept has been explored in academic circles for some time, it is only recently that the term has become popular in both academic and industrial settings. Academic studies, on the other hand, aim to better the industrial sector by clarifying the meaning of the concept and developing relevant systems, business models, and methodologies. Businesses need a thorough understanding of the features and substance of Industry 4.0 in order to make the transition from machine-dominated to digital production. These data will be useful when they formulate a plan. Along this route, there have been many discussions and plans put forth. The rapid progress of industrial science is linked to this ailment. This paper conducts a literature review to investigate the relationship between Industry 4.0 and the development of industrial engineering science, the challenges that this field faces, and the impact that the industrial revolution had on human resources, all of which contributed to the emergence of Industry 4.0. To improve productivity, efficiency, and unemployment, the concept merges digital technologies, the Internet, and conventional industries. Moreover, some of the ramifications concern the detrimental effects of Industry 4.0 on human resources. The fundamental objective is to furnish labor forces with tools by expanding employment and spawning new avenues for business ownership across several industries and institutional configurationsA systematic review of the implementation of Industry 4.0 in human resources
A systematic review of the implementation of Industry 4.0 in human resourcesBOHR International Journal of Operations Management Research and Practices
Capsicum annuum L. is the extensively cultivated species of peppers (chilies) in all over the world. Its fruits are used for spiciness (capsaicin) and color (capsanthin) in our daily foods. Pakistan is the leading chili consuming country. Genetic divergence among 25 accessions (local and exotic) collected from Ayub Agriculture Research Institute (AARI) Faisalabad, Pakistanwas estimated from the data collected during the year 2014 in the Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Pakistan for different morphological and growth parameters viz fruit width, fruit length, peduncle length, number of primary branches, inter nodal length, plant height, seed index, 1000 seed weight, fresh and dry fruit weight, pericarp thickness, leaf area and seeds per fruit. Based on this characterization the plants were grouped into 5 clusters and diversity among accessions was indicated by the wide range of D2 values whereas phenotypic correlation for all the characters was found significant. Five components were selected as principle components with Eigen values > 1. These components exhibited 77.2% of the variation. The first principal component (PC I) explained 27.2% of total variation in original data, second component (PC II) explained 18.9%, and third principal component (PC III) explained 12.5% of variation. The other principal components (PC IV and PC V explained an additional 18.6% of the variation (a total 77.2% of explained variation. Accessions with distinct identity were marked, which are likely to be quite suitable for breeding through hybridization by combining desirable traits. High estimates of broad sense heritability (90%) for all the characters except peduncle length predicted that selection could be awarding in late segregating generations and above accessions could be utilized in hybridization programme for C. annuum crop improvement.
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- 1. n n n n n n n n n n n PAUCAR ISMOTUNA CARNICERO PUCA PUCA A1ASPAMPA LEONMACHAY MANAUCOCHA CARNICERO 2 GARGUASH CHICO Source: Esri, DigitalGlobe, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community 341000 341000 342000 342000 343000 343000 8853000 8853000 8854000 8854000 LORETO UCAYALI PUNO CUSCO LIMA JUNIN ICA AREQUIPA PIURA MADRE DE DIOS ANCASH SAN MARTIN HUANUCO PASCO TACNA APURIMAC AYACUCHO AMAZONAS CAJAMARCA LA LIBERTAD HUANCAVELICA MOQUEGUA LAMBAYEQUE TUMBES CALLAO Brasil Bolivia Ecuador Colombia Chile 70°0'0"W 70°0'0"W 75°0'0"W 75°0'0"W 80°0'0"W 80°0'0"W 0°0'0" 0°0'0" 5°0'0"S 5°0'0"S 10°0'0"S 10°0'0"S 15°0'0"S 15°0'0"S OXAPAMPA PASCO DANIEL ALCIDES CARRION 330000 330000 400000 400000 470000 470000 540000 540000 8750000 8750000 8820000 8820000 8890000 8890000 8960000 8960000 YANAHUANCA SANTA ANA DE TUSI CHACAYAN PAUCAR TAPUC VILCABAMBA SAN PEDRO DE PILLAO GOYLLARISQUIZGA 300000 300000 330000 330000 360000 360000 8830000 8830000 8860000 8860000 LAYENDA Hoja1$ Events nCentros Poblado AREA DEL PROYECTO AID AII 0 25 50 75 100 12.5 Km 0 160 320 480 640 80 Kilometers 0 9 18 27 36 4.5 Km . AREA DE PROYECTO MAPA AREA DE INFLUENCIA P L A N O S I S T E MAD EC O O R D E N A D A S D I S T R I T O P A U C A R P R O Y E C C I O N : U T M P R O V I N C I A D A N I E LA L C I D E SC A R R I O N Z O N AS U R : 1 8 S R E G I O N P A S C O C O O R D E N A D A S : WG S- 8 4 E S C A L A 1 / 1 0 0 0 0 F E C H A A b r - 2 1 N O MB R ED EP R O Y E C T O : F O R MU L A C I O ND E LP L A ND ER E P A R A C I O ND EA R E A SD E G R A D A D A SP O RR R . S SMU N I C I P A L E S , D I S T R I T OD EP A U C A R– D A N I E LA L C I D E SC A R R I O N– D E P A R T A ME N T OD EP A S C O = 17.74 Ha = 91.09 Ha