Refine your search
Collections
Co-Authors
- S. K. Kapur
- Y. K. Sarin
- Hari Ram
- V. S. Sohu
- Ismail Cakmak
- G. S. Buttar
- G. P. S. Sodhi
- H. S. Gill
- Indoo Bhagat
- Parminder Singh
- S. S. Dhaliwal
- Preeti
- Raj Kumar
- Rakesh Behmani
- Ajay Kapoor
- Bikram Jit Singh
- Sanjiv Gupta
- D. Pramod
- Sarita
- Lakhwinder Kaur
- Satish Kumar
- Pawan Kaur
- K. L. Dangi
- Narpat Singh
- Sheelan Misra
- A. Sangwan
- P. S. Sangwan
- R. P. Sansanwal
- B. S. Duhan
- K. Joseph John
- K. Pradheep
- Suman Rani
- Gaurav Sharma
Journals
- Indian Forester
- Current Science
- Indian Journal of Health and Wellbeing
- IAHRW International Journal of Social Sciences Review
- International Journal of Education and Management Studies
- Research Cell: An International Journal of Engineering Sciences
- Oriental Journal of Computer Science and Technology
- Agriculture Update
- Journal of Supply Chain Management Systems
- Indian Journal of Positive Psychology
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Singh, Kuldeep
- Domestication of Sapium sebiferum under Jammu Conditions
Abstract Views :272 |
PDF Views:0
Authors
Source
Indian Forester, Vol 119, No 1 (1993), Pagination: 36-42Abstract
Sapium sebiferum Roxb., an exotic source of oil seeds has now completely naturalized in Himalayan area. Domestication trials of this plant were carried out through seeds and ischolar_main suckers under two distinct habitats. Propagation occurred fairly well through seeds and ischolar_main suckers. Overall performance of the plants was comparatively better under waterlogged conditions.- Agronomic fortification of rice and wheat grains with zinc for nutritional security
Abstract Views :423 |
PDF Views:145
Authors
Hari Ram
1,
V. S. Sohu
1,
Ismail Cakmak
2,
Kuldeep Singh
1,
G. S. Buttar
1,
G. P. S. Sodhi
1,
H. S. Gill
1,
Indoo Bhagat
1,
Parminder Singh
1,
S. S. Dhaliwal
1
Affiliations
1 Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141 004, IN
2 Sabanci University, Istanbul, TR
1 Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141 004, IN
2 Sabanci University, Istanbul, TR
Source
Current Science, Vol 109, No 6 (2015), Pagination: 1171-1176Abstract
Zinc (Zn) deficiency is the most widespread micronutrient deficiency in crop plants and humans. Low intake of Zn through diet appears to be the major reason for the widespread prevalence of Zn deficiencies in human populations. Application of Zn fertilizer in soil having low Zn increased the grain yield in wheat up to 6.4–50.1%. However, soil Zn application increased the grain yield of rice only up to 7.2–14.8%. Soil having sufficient Zn had no or little effect on grain yield with soil Zn application. The application of foliar Zn with or without propiconazole resulted in significant increases in grain Zn irrespective of soil Zn status. Application of foliar Zn along with propiconazole at earing and milk stages proved beneficial in increasing grain Zn content in both rice and wheat. Hence agronomic biofortification is possible and could be considerably economical if used along with a fungicide depending upon appearance of a disease.Keywords
Agronomic fortification, rice, wheat, zinc deficiency.References
- Prasad, R., Rice–wheat cropping systems. Adv. Agron., 2005, 86,255–339.
- Prasad, R., Zinc biofortification of food grains in relation to food securityand alleviation of zinc malnutrition. Curr. Sci., 2010, 98,1300–1304.
- Graham, R. D. and Welch, R. M., Breeding for staple-food crops withhigh micronutrient density. In Working Papers on Agricultural Strategiesfor Micronutrients, No. 3, International Food PolicyInstitute, Washington DC, 1996.
- Cunningham-Rundles, S., Mc Neeley, D. F. and Moon, A., Mechanismsof nutrient modulation of the immune response.J. Allergy Clin. Immunol., 2005, 115, 1119–1128.
- Black, R. E. et al., Maternal and child under nutrition: global and regionalexposures and health consequences. Lancet, 2008, 371,243–260.
- Cakmak, A., Yilmaz, A., Kalayci, M., Ekiz, H., Torun, B. andEreno, B., Zinc deficiency as a critical problem in wheat production inCentral Anatolia. Plant Soil, 1996, 180, 165–172.
- Modaihsh, A. S., Foliar application of chelated and non-chelated metalsfor supplying micronutrients to wheat grown calcareoussoils. Exp. Agric., 1997, 33, 237–245.
- Kaya, Y., Kaya, Y., Arisoy, R. Z. and Göcmen, A., Variation in grainyield and quality traits of bread wheat genotypes by Znfertilization. Pak. J. Agron., 2002, 1, 142–144.
- Phattarakul, N. et al., Biofortification of rice grain with zinc throughzinc fertilization in different countries. Plant Soil, 2012,361, 131–141.
- Wissuwa, M., Ismail, A. M. and Graham, R. D., Rice grain Zn concentrationsas affected by genotype, native soil-Zn availability, andZn fertilization. Plant Soil, 2008, 306, 37–48.
- Nestel, P., Bouis, H. E., Meenakshi, J. V. and Pfeiffer, W., Biofortificationof staple food crops. J. Nutr., 2006, 136, 1064–1067.
- Hall, J. L. and Williams, L. E., Transition of metal transporters inplants. J. Exp. Bot., 2003, 54, 2601–2613.
- Kassab, O. M., Zeing, H. A. E. and Ibrahim, M. M., Effect of waterdeficit and micronutrients foliar application on the productivity ofwheat plants. Minufiya J. Agric. Res., 2004, 29, 925–932.
- Khan, M. U., Qasim, M. and Jamil, M., Effect of Zn on starch contentof paddy and Zn content of soil, leaf and ischolar_main of ricegrown in calcareous soils. Int. J. Agric. Biol., 2004, 6, 1132–1135.
- Brahma, R. N., Asir, R. and Saikia, A., Efficacy of tilt (propiconazole) ondifferent wheat cultivars. Indian Phytopathol., 1991, 44,116–118.
- Cakmak, I., Enrichment of cereal grains with Zn: agronomic or geneticbiofortification? Plant Soil, 2008, 302, 1–7.
- Cakmak, I., Pfeiffer, W. H. and McClafferty, B., Biofortification ofdurum wheat with Zn and iron. Cereal Chem., 2010, 87,10–20.
- Impact of Self-Esteem and Adjustment on Academic Performance of Adolescents
Abstract Views :570 |
PDF Views:1
Authors
Affiliations
1 Department of Psychiatry, PGIMS, Rohtak, Haryana, IN
2 Department of Psychology, Manpur, Palwal, Haryana, IN
3 Department of Psychology, GJUS&T, Hisar,Haryana, IN
4 SHKM Medical College, Nalhar, NUH, Mewat, Haryana, IN
1 Department of Psychiatry, PGIMS, Rohtak, Haryana, IN
2 Department of Psychology, Manpur, Palwal, Haryana, IN
3 Department of Psychology, GJUS&T, Hisar,Haryana, IN
4 SHKM Medical College, Nalhar, NUH, Mewat, Haryana, IN
Source
Indian Journal of Health and Wellbeing, Vol 7, No 1 (2016), Pagination: 133-135Abstract
This study examined the impact of self-esteem and Adjustment on the academic Performance of students of a rural area in Public schools setting. Adjustment has an important role in behaviour of adolescents in dealing with people, controlling aggressiveness and to deal with various situations. Academic performance in secondary school is very important for adolescents as students who have high or average grades may have to access to higher education; thus an advantage for society and adolescents. Children and adolescents spend a lot of time and energy on academic performance, thus it is necessary for them to have high self esteem and better adjustment. Aim: The aim of the present study was to identify the relation between self esteem, adjustment and the academic performance of students. The sample of this study consisted of 200 adolescents from 3 schools in rural area of Palwal District of Haryana. Thus Present study was carried out to check the self-esteem and adjustment in early adolescents. It s a cross sectional study, in which Two hundred (200) adolescents; out of which one hundred were male and one hundred were female; selected by purposive sampling. Assessment was done by using, Adjustment inventory for school students and Rosenberg Self Esteem Scale. Academic performance was represented by self-reported result of previous passed out semester. The statistical analysis was carried out using the SPSS Windows 16.0 software package. A significant positive inter-correlation was existed between self esteem, adjustment and academic performance. A significant difference was found on adjustment and academic performance of male and female adolescents. Female adolescent scored lower than male adolescent on adjustment scale indicating female adolescents have good adjustment than male adolescents. Female students scored higher than male adolescents on academic performance. There was no significant difference was found on self esteem of male and female adolescents. The findings show that high or average level of self esteem and good adjustment affects the academic performance in a positive way. There is a suggestion for the school teachers to facilitate effective interpersonal relationships among students to encourage self esteem and to increase the level of publicity of guidance and counselling services in schools.Keywords
Academic Performance, Self- Esteem, Adjustment, Adolescents.- Changing Land Use/Land Cover Pattern in Jind City Haryana:A Spatio-Temporal Analysis
Abstract Views :277 |
PDF Views:0
Authors
Affiliations
1 Department of Geography, FGM Govt. College, Adampur, Hisar, Haryana, IN
1 Department of Geography, FGM Govt. College, Adampur, Hisar, Haryana, IN
Source
IAHRW International Journal of Social Sciences Review, Vol 2, No 2 (2014), Pagination: 201-203Abstract
The present study aims to analyze the spatial and temporal variation in the land use/land cover pattern of Jind city during (1989-2008). Analysis shows that the previous land use pattern was dominated by arable land in general but during last three decades the proportion of agricultural land has declined. This temporal variation in land use pattern has occurred due to increasing population pressure as well as a shift in the structure of economy from primary sector to secondary and tertiary sectors.Keywords
Spatial-Temporal, Land Use, Land Cover.- Spatio-Temporal Variations in Population Growth in Haryana (India): A Geographical Analysis
Abstract Views :473 |
PDF Views:0
Authors
Affiliations
1 Department of Geography, FGM Govt College Adampur, Hisar, Haryana, IN
1 Department of Geography, FGM Govt College Adampur, Hisar, Haryana, IN
Source
IAHRW International Journal of Social Sciences Review, Vol 2, No 1 (2014), Pagination: 7-11Abstract
Haryana is a state in northern India covering an area of 44212 sq km. One of the most important aspects of Haryana's population is its uneven distribution. Major factors influencing the Spatio-Temporal variations in population growth are terrain, climate, soil, water bodies, mineral resources, industries, transportations etc. The sex ratio has changed from census to census in Haryana state. As per details from census 2011 Haryana has population of 2.53 Crores, an increase from figure of 4623064 in 1901 census. Causing of rapid growth of population in Haryana are high birth rate, low death rate, joint family systems etc.Keywords
Spatio-Temporal Variations, Population Growth.- Socio-Epidemiological Study of Burn Patients in PGIMS, Rohtak, Haryana, India
Abstract Views :382 |
PDF Views:0
Authors
Affiliations
1 Department of Burns & Plastic Surgery, PGIMS, Rohtak, Haryana, IN
2 Department of Pulmonary & Critical Care, Pt. B.D. Sharma PGIMS, Rohtak, Haryana, IN
1 Department of Burns & Plastic Surgery, PGIMS, Rohtak, Haryana, IN
2 Department of Pulmonary & Critical Care, Pt. B.D. Sharma PGIMS, Rohtak, Haryana, IN
Source
Indian Journal of Health and Wellbeing, Vol 6, No 4 (2015), Pagination: 379-383Abstract
Burn is a major health problem that cause of mortality, morbidity and psychosocial problems. The aim of this study was to evaluate the epidemiology of burns in this part of the world. In this prospective study 314 burn patients admitted in Pt. B. D. Sharma, PGIMS, Rohtak, Haryana, India from Oct 2012 to Sep 2013 were studied. Maximum number of burn patients were in the age group of 21-40 years (44.90%), with male preponderance (57.96%), 99.36% patients were belonging to Hindu community. Burn injuries were more from rural area (83.43%) than urban area (16.56%). 167 (53.18%) patients were with a family income less than 5000 rupees, 145 (46.17%) patients were literate. Most common mode of burn was flame in 53.50% patients, followed by scalds in 32.16% cases, electrical burn in 11.46% cases and chemical burn in 2.86% cases. No first aid was given in 67.5% of cases. Majority of burns occurred accidentally. In urban population, scald forms the most common type of burn in children (51.92%) and adult females (9.61%). In rural population flame burn is the leading type of burn in adult female (26.33%) and adult males (27.09%) while scald remains the most common burn in children (23.66%). TBSA burn was maximum in the age group of 20-40 years (43.48±18.99%) and minimum in 0-5 yrs age group (20.88±13.61%). Average hospital stay and mortality increases proportionately with the increase in TBSA burn. For implementation of an effective burn prevention program, study of its epidemiological features in a specified region contributes a lot.Keywords
Epidemiology Burn, TBSA.- Psychological Well-Being and Family Adjustment among Teachers
Abstract Views :280 |
PDF Views:0
Authors
Affiliations
1 Department of Education, Bright College ofEducation, Kitlana, Bhiwani, Haryana, IN
1 Department of Education, Bright College ofEducation, Kitlana, Bhiwani, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 6, No 4 (2016), Pagination: 477-480Abstract
A person with better psychological well-being is considered to be balanced person. He will perform his all responsibilities more intelligently, diligently and efficiently The investigation of this characteristic will provide insight for the physical education teachers to modify their life style to achieve the qualify of becoming a psychologically well-being person,to be successful the profession and achieve job satisfaction. The present paper review son relation between psycho logical wellbeing and family adjustment among teachers.Keywords
Psychological Wellbeing, Family Adjustment, Teachers.- Gender Difference in Aspiration Level among Students
Abstract Views :276 |
PDF Views:0
Authors
Affiliations
1 Department of Education, Bright College of Education, Kitlana, Bhiwani, Haryana, IN
1 Department of Education, Bright College of Education, Kitlana, Bhiwani, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 6, No 4 (2016), Pagination: 485-487Abstract
Aspiration level is the nature every healthy human organism to reach out beyond the lime of it is current t attempt. Without pursuing this distraction further it is sufficient to point out that, because the individual unavoidable compare his performance with those of other, he experiences either relation or dissatisfaction with his on accomplishment, an unintentional purposive individual, he setup goals and values whose attainment is essentially to his well-being. The present paper reviews on gender differences m aspiration levels of male and female m different areas.Keywords
Aspiration Level, Well-Being, Male, Female.- A Survey of Various Malware Detection Techniques
Abstract Views :215 |
PDF Views:9
Authors
Affiliations
1 Department of Computer Engineering, Patiala, IN
1 Department of Computer Engineering, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 22 (2016), Pagination: 381-385Abstract
In this paper number of techniques have been reviewed that are used for malware detection. Any harmful computer program which performs the undesirable action without the consent of user is called malware. It may be virus, worm, spyware, backdoor, Trojan horse etc. Malware plays the main threat in the computer security and increasing day by day. With the evolutions malware becoming more strong i.e. changing its signature and behavior dynamically so it is difficult to detect them. Numerous techniques have been developed to detect malware. All have some advantages and disadvantages. Signature based detection; Anomaly based detection, Heuristic based and artificial immune system based. Most antivirus used the signature based detection and it used for the signature of known malware which can't detect unknown malware. To overcome this shortcoming behavioral based detection is used, which find the behavior of the program and identified that is it benign or malware. Data mining and machine learning methods are used by heuristic malware detection. Artificial immune system is just like biological immune system that provides the protection to system by differentiating between self and non self particles.Keywords
Malware Detection, Artificial Immune System, Benign, Signature, Heuristic.- Detection of Powdery Mildew Disease of Beans in India:A Review
Abstract Views :230 |
PDF Views:6
Authors
Affiliations
1 Department of Computer Science, FGM Govt. College, Adampur-125052, Hisar, Haryana, IN
2 Department of Computer Applications, Panjab University, SSG Regional Centre, Hoshiarpur-146001, Punjab, IN
3 Department of Biotechnology, Chaudhary Devi Lal University, Sirsa-125055, Haryana, IN
1 Department of Computer Science, FGM Govt. College, Adampur-125052, Hisar, Haryana, IN
2 Department of Computer Applications, Panjab University, SSG Regional Centre, Hoshiarpur-146001, Punjab, IN
3 Department of Biotechnology, Chaudhary Devi Lal University, Sirsa-125055, Haryana, IN
Source
Oriental Journal of Computer Science and Technology, Vol 9, No 3 (2016), Pagination: 226-234Abstract
Powdery mildew disease of beans in India causes major economic losses in agriculture. For sustainable agriculture, detection and identification of diseases in plants is very important. In this review, we are trying to identify the powdery mildew disease of beans crop by using some image processing and pattern recognition techniques and comparing with molecular and spectroscopic techniques. Early information on crop health and disease detection can facilitate the control of diseases through proper management strategies. The present review recognizes the need for developing a rapid, cost-effective, and reliable health monitoring techniques that would facilitate advancements in agriculture. These technologies include image processing and pattern recognition based plant disease detection methods.Keywords
Beans, Powdery Mildew, Detection, Image Processing, Pattern Recognition.References
- Singh, S. P. Production and utilization., “In: S. P. Singh (ed.). Common Bean Improvement in the Twenty-First Century”. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp, 1-24, (1999).
- Myers, J. R. and Baggett, J. R., “Improvement of snap beans. In: S. P. Singh (ed.) Common Bean Improvement in the Twenty-First Century”. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp, 289-330, (1999).
- Cook, R.J.; Duniway, J.M., “Water relations in the life-cycles of soilborne plant pathogens. In Water Potential Relations in Soil Microbiology”. Parr, J.F., Gardner, W.R., Elliott, L.F., Eds.; Soil Science Society of America: Madison, WI; Vol. 9, pp. 119-139 (1981).
- Rotem, J., “Climatic and weather influences on epidemics. In Plant Disease: An Advanced Treatise”. Horsfall, J.G., Cowling, E.B., Eds.; Academic Press: New York, ; Vol. 2, pp. 317-337 (1978).
- Swan, L.D.; Backhouse, D.; Burguess, L.W., “Surface soil moisture and stubble management practice effects on the progress of infection of wheat by Fusarium pseudograminearum”. Aust. J. Exp. Agr, vol.40, pp.693-698, (2000).
- Zhang, W., and Pfender, W.F., “Effect of residue management on wetness duration and ascocarp production by Pyrenophora triticirepentis in wheat residue,” Phytopathology,Vol. 82, pp. 1434-1439, 1992.
- Rosenberg, N.J.; Blad, B.L.; Verma, S.B., “Microclimate: The Biological Environment,” 2nd Ed.; John Wiley & Sons: New York, NY, U.S.A., (1983).
- Sirjusingh, C.; Sutton J.C., “Effects of wetness duration and temperature on infection of geranium by Botrytis cinerea”. Plant Dis. Vol. 80, 160-165. (1996),
- Agrios, G. N. Plant Pathology, 3rd Ed.; Academic Press, Inc.: New York, NY, U.S.A., (1988).
- Fidanza, M.A.; Dernoeden, P.H.; Grybauskas A.P. Development and field validation of a brown patch warning model for perennial ryegrass turf. Phytopathology, Vol. 86, pp. 385-390,1996.
- Giesler, L.K.; Yuen, G.Y.; Horst, G.L., “The microclimate in tall fescue turf as affected by canopy density and its influence on brown patch disease.” Plant Dis., Vol. 80, pp. 389-394, (1996).
- Stavely j R, Freytag,G.F., Steadman J R, Schwartz H. F., The Bean rust workshop. Bean Improv. Coop. Ann. Rept. Vol. 26: iv-vi; (1983).
- Huang, X.Q., Hsam S. K. L., Zeller, F. J., Wenzel, G., Mohler, V., “Molecular mapping of the wheat powdery mildew resistance gene Pm24 and marker validation for molecular breeding.” Theoretical and Applied Genetics, Vol. 101. pp 407-414, (2000).
- Maloy, Otis and Debra Inglis., “Powdery Mildew,” Washington University extension, Diseases of Washington Crops. (1993).
- Lipps, Patrick E. (n.d). “Powdery Mildew of Wheat,” The Ohio State University Extension. http://ohioline.osu.edu/ac-fact/0010.htmltm.
- Bennet, Fiona G. A., “Resistance to powdery mildew in wheat: a review of its use in agriculture and breeding programmes.” Plant Pathology, Vol. 33, pp. 279–300, (1984).
- DeBacco, Matthew. “Compost Tea and Milk to Suppress Powdery Mildew (Podosphaera xanthii) on Pumpkins and Evaluation of Horticultural Pots Made from Recyclable Fibers Under Field Conditions”. MSc Thesis,University of Connecticut, (2013).
- Bettiol, Wagner., “Effectiveness of cow’s milk against zucchini squash powdery mildew (Sphaerotheca fuliginea) in greenhouse conditions”. Crop Protection, Vol. 18, pp. 489–492, (1999).
- Bélanger R. R, Nicole Benhamou, and Menzies, J. G., “Cytological Evidence of an Active Role of Silicon in Wheat Resistance to Powdery Mildew (Blumeria graminis f. sp. tritici).” Phytopathology, Vol. 93, pp. 402-407, (2003).
- López, M.M., Bertolini, E., Olmos, A., Caruso, P., Gorris, M.T., Llop, P., Penyalver, R., Cambra, M., “Innovative tools for detection of plant pathogenic viruses and bacteria”. International Microbiology, Vol. 6, pp. 233–243, (2003).
- Das, A.K., “Rapid detection of Candidatus Liberibacter asiaticus, the bacterium associated with citrus Huanglongbing (Greening) disease using PCR”. Current Science, Vol. 87, pp. 1183–1185, (2004).
- Li, W., Hartung, J.S., Levy, L., “Quantitative real-time PCR for detection and identification of Candidatus Liberibacter species associated with citrus Huanglongbing”. Journal of Microbiological Methods, Vol. 66, pp. 104–115, (2006).
- Prithiviraj, B., Vikram, A., Kushalappa, A.C., Yaylayam, V., “Volatile metabolite profiling for the discrimination of onion bulbs infected by Erwinia carotovorassp. carotovora, Fusarium oxysporum and Botrytis allii”. European Journal of Plant Physiology. Vol.110, pp. 371–377, (2004).
- Ruiz-Ruiz, S., Ambrós, S., Carmen Vives, M., Navarro, L., Moreno, P., Guerri, J., “Detection and quantification of Citrus leaf blotch virus by TaqMan real-time RTPCR”. Journal of Virological Methods. Vol. 160, pp. 57–62, (2009).
- Saponari, M., Manjunath, K., Yokomi, R.K., “Quantitative detection of Citrus tristeza virus in citrus and aphids by real-time reverse transcription-PCR (TaqMan®).” Journal of Virological Methods. Vol. 147, pp. 43–53, (2008).
- Yvon, M., Thébaud, G., Alary, R., Labonne, G., “Specific detection and quantification of the phytopathogenic agent ‘Candidatus Phytoplasma prunorum”. Molecular and Cellular Probes. Vol. 23, pp. 227–234, (2009).
- Bravo, C., Moshou, D., Oberti, R., West, J., McCartney, A., Bodria, L., Ramon, H., “Foliar disease detection in the field using optical sensor fusion. Agricultural Engineering International: the CIGR Journal of Scientific Research and Development,” Manuscript FP 04 008, Vol. VI. (2004).
- Moshou, D., Bravo, C., West, J., Wahlen, S., McCartney, A., Ramon, H., “Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks.” Computers and Electronics in Agriculture, Vol. 44, pp.173–188, (2004).
- Chaerle, L., Lenk, S., Hagenbeek, D., Buschmann, C., Van Der Straeten, D., “Multicolor fluorescence imaging for early detection of the hypersensitive reaction to tobacco mosaic virus”. Journal of Plant Physiology. Vol. 164, pp.253–262, (2007).
- Moshou, D., Bravo, C., Oberti, R., West, J., Bodria, L., McCartney, A., Ramon, H., 2005. “ Plant disease detection basedondata fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps. Real-Time Imaging Vol. 11, pp.75–83, (2005).
- Shafri, H.Z.M., Hamdan, N., “Hyperspectral imagery for mapping disease infection in oil palm plantation using vegetation indices and red edge techniques.” American Journal of Applied Sciences, Vol. 6, pp. 1031–1035, (2009).
- Qin, J., Burks, T.F., Kim, M.S., Chao, K., Ritenour, M.A., “ Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method”. Sensing and Instrumentation for Food Quality and Safety. Vol.2, pp. 168–177, (2008).
- Spinelli, F., Noferini, M., Costa, G., “Near infrared spectroscopy (NIRs): Perspective of fire blight detection in asymptomatic plant material.” Proceeding of 10th International Workshop on Fire Blight. Acta Horticulturae, Vol.704, pp.87–90, (2006).
- Purcell, D.E., O’Shea, M.G., Johnson, R.A., Kokot, S., “Near-infrared spectroscopy for the prediction of disease rating for Fiji leaf gall in sugarcane clones”. Applied Spectroscopy. Vol. 63, pp. 450–457, (2009).
- Marcassa, L.G., Gasparoto, M.C.G., Belasque Junior, J., Lins, E.C., Dias Nunes, F., Bagnato, V.S., “Fluorescence spectroscopy applied to orange trees”. Laser Physics. Vol. 16, pp. 884–888, (2006).
- Belasque, L., Gasparoto, M.C.G., Marcassa, L.G., “Detection of mechanical and disease stresses in citrus plants by fluorescence spectroscopy.” Applied Optics, Vol. 47, pp. 1922–1926, (2008).
- Lins, E.C., Belasque Junior, J., Marcassa, L.G., “Detection of citrus canker in citrus plants using laser induced fluorescence spectroscopy.” Precision Agriculture. Vol. 10, pp. 319–330, (2009).
- Yang, C.M., Cheng, C.H., Chen, R.K., “Changes in spectral characteristics of rice canopy infested with brown plant hopper and leaf folder.” Crop Science. Vol. 47, pp. 329–335, (2007).
- Delalieux, S., van Aardt, J., Keulemans, W., Schrevens, E., Coppin, P.,. “Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications.” European Journal of Agronomy. Vol. 27 pp. 130–143, (2007).
- Chen, B., Wang, K., Li, S., Wang, J., Bai, J., Xiao, C., Lai, J., “Spectrum characteristics of cotton canopy infected with verticillium wilt and inversion of severity level.” In IFIP International Federation for Information Processing, Volume 259; Computer and Computing Technologies in Agriculture, vol. 2, Daoliang Li, Springer, Boston, pp. 1169–1180, (2008).
- Choi, Y.H., Tapias, E.C., Kim, H.K., Lefeber, A.W.M., Erkelens, C., Verhoeven, J.T.J., Brzin, J., Zel, J., Verpoorte, R., “Metabolic discrimination of Catharanthus roseus leaves infected by phytoplasma using 1H-NMR spectroscopy and multivariate data analysis.” Plant Physiology. Vol. 135, pp. 2398–2410, (2004).
- Graeff, S., Link, J., Claupein, W., “Identification of powdery mildew (Erysiphe graminis sp. tritici) and take-all disease (Gaeumannomyces graminis sp. tritici) in wheat (Triticum aestivum L.) by means of leaf reflectance measurements.” Central European Journal of Biology. Vol. 1, pp. 275–288, (2006).
- Lorenzen, B., Jensen, A., “Changes in spectral properties induced in Barley by cereal Powdery Mildew.” Remote Sensing Environment. Vol. 27, pp. 201–209, (1989).
- Sasaki, Y., Okamoto, T., Imou, K., Torii, T., Automatic diagnosis of plant disease: spectral reflectance of healthy and diseased leaves. In: Proceedings AgEng’ 98 Conference, Oslo, pp. 6, (1998).
- Mohammad Ei –Helly, Ahmed Rafea, Salwa Ei – Gamal And Reda Abd Ei Whab., “Integrating Diagnostic Expert System With Image Processing Via Loosely Coupled Technique,” Central Laboratory for Agricultural Expert System(CLAES), (2004).
- Sungkur R., Baichoo S., “An automated system to recognize Fungi-caused diseases sugarcane leaves,” Research journal of University of Maurititus, pp.1-20, (2009).
- Shen Weizhong, Wu Yachun, “Grading method of leaf spot disease based on image processing,’’ IEEE, pp.491-494, (2008).
- Rakesh Kaundal, Amar S Kapoor and Gajendra PS Raghava, “Machine learning techniques in disease forecasting: a case study on rice blast prediction,” BMC Bioinformatics., (2006).
- Prasad Babu M. S. and Srinivasa R. B., “ Leaves Recognition Using Back Propagation Neural Network-Advice For Pest and Disease Control On Crops,” IndiaKisan.Net: Expert Advissory System, (2007).
- Alexander A. Doudkin , Alexander V. Inyutin, Albert I. Petrovsky, Maxim E. Vatkin “Three Level Neural Network for Data Clusterzation on Images of Infected Crop Field,” Journal of Research and Applications in Agricultural Engineering, Vol.52, (2007).
- Pixia, D. and Xiangdong W., “Recognition of Greenhouse Cucumber Disease Based on Image Processing Technology,” Open Journal of Applied Sciences, Vol. 3, pp. 27-31, (2013).
- Vijaya kumar J. V., Arumugam, S., “Recognition of Powdery Mildew Disease for Betelvine Plants Using Digital Image Processing”. International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, (2012).
- Xu Pengyun & Li Jigang, “Computer assistance image processing spores counting, International Asia Conference on Informatics in Control, Automation and Robotics,” IEEE computer society, pp.203-206, (2009).
- Seiffert U. and Schweizer, P., “A Pattern Recognition Tool for Quantitative Analysis of In Planta Hyphal Growth of Powdery Mildew Fungi.” Technical Advance. Vol. 18, pp. 906-912, (2005).
- Constraints as Perceived by the Kinnow (Citrus deliciosa X Citrus nobilis) Farmers in Adoption of Recommended Technology in Rajasthan
Abstract Views :284 |
PDF Views:0
Authors
Affiliations
1 Krishi Vigyan Kendra, Sangaria, Hanuman Garh (Rajasthan), IN
2 Department of Extension Education, Rajasthan College of Agriculture, Udaipur (Rajasthan), IN
3 Department of Extension Education, OPJS University, Churu (Rajasthan), IN
1 Krishi Vigyan Kendra, Sangaria, Hanuman Garh (Rajasthan), IN
2 Department of Extension Education, Rajasthan College of Agriculture, Udaipur (Rajasthan), IN
3 Department of Extension Education, OPJS University, Churu (Rajasthan), IN
Source
Agriculture Update, Vol 12, No 3 (2017), Pagination: 376-382Abstract
The present paper highlights the constraints levels of farmers of kinnow recommended technologies in Sri Ganganagar (Rajasthan). Total 150 farmers were selected for study. There was no significant difference between two categories. It means that the small and big farmers had perceived more or less similar constraints toward kinnow cultivation in the study area.Keywords
Constraints, Farmers, Kinnow, Recommended Technologies.References
- Gomase, A.S. and Patil, R.L. (1998). Adoption behaviour of kagzi lime growers. Thesis Abstract, 24: 201-202.
- Kaul, G.L. (1993). Development of horticulture. A boost in the 7th plan Indian horticulture, April-June: 9-13.
- Neelam, K. (2006). Knowledge and adoption of garlic production technology by the farmers of Begun tehsil in Chittorgarh district of Rajasthan. M.Sc. Agriculture Thesis, Maharana Pratap University of Agriculture and Technology, Udaipur, RAJASTHAN (INDIA).
- Poonia, A. (2002). Technological gap among the kinnow (Citrus deliciosa) orchard owners in Sriganganagar district of Rajasthan. M.Sc. Agriculture Thesis, Maharana Pratap University of Agriculture and Technology, Udaipur, RAJASTHAN (INDIA).
- Saini, H. (2008). Impact of jojaba cultivation through ‘Ajorp’ in Rajasthan – A process Evaluation. Ph.D. Thesis, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan Gomase, A.S. and Patil, R.L. 1998. Adoption behaviour of kagzi lime growers. Thesis Abstract, 24: 201-202.
- Theory of Constraints for Managing Downstream Supply Chain in Indian FMCG Sector:A Literature Review
Abstract Views :316 |
PDF Views:0
Authors
Affiliations
1 Jain University, Bangalore, Karnataka, IN
2 New Horizon College of Engineering, Bangalore, Karnataka, IN
1 Jain University, Bangalore, Karnataka, IN
2 New Horizon College of Engineering, Bangalore, Karnataka, IN
Source
Journal of Supply Chain Management Systems, Vol 7, No 1 (2018), Pagination: 50-66Abstract
Many firms have benefited from Theory of constraints implementation helping them in achieving ambitious goals. Theory of constraints uses inherent potential in supply to turnaround businesses. This paper uses case study approach to explore the existing implementation model of Theory of constraints especially in downstream supply chain and uncovers the associated challenges involved in the implementation. As a novel contribution to the already existing body of knowledge of Theory of constraints, a robust new model of implementation of Theory of constraints is presented, which can be of great help for supply chains of consumer products companies in performing sustainably.Keywords
Sustainable Supply Chain Model, Theory of Constraints, Downstream Supply Chain Management, Uncertainty.References
- Alvarado-Valencia, J., Barrero, L. H., Onkal, D., & Dennerlein, J. T. (2017). Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting. International Journal of Forecasting, 33(1), 298-313.
- Schragenheim, A. (2010). Supply Chain Management in Cox and Schleier (ed). Theory of Constraints Handbook. USA. McGraw-Hill.
- Andorra, N. (2009). TOC supply chain management solution for food processing industries. Journal of Small Business & Entrepreneurship, 22(3), 239-251.
- Deshmukh, A. K., & Mohan, A. (2016). Modeling Demand Chain Management (DCM) processes for Indian retailing. Journal of Supply Chain Management Systems, 5(2), 12-21.
- Mohan, A., & Deshmukh, A. K. (2013). Conceptualization and development of a supply chain-customer relationship management (SC2R-M) Synergy Mode. Journal of Supply Chain Management Systems, 2(3), 9-25.
- Belvedere, V., & Goodwin, P. (2017). The influence of product involvement and emotion on short-term product demand forecasting. International Journal of Forecasting, 33(3), 652-661.
- Blackstone. (2001). Theory of constraints: A status report. International Journal of Production Research, 39(6), 1053-1080.
- Campbell, R. J., Brewer, P., & Mills, T. (1997). Designing an information system using activity-based costing and the theory of constraints. Journal of Cost Management January/February, 16-25.
- Childs, H. (2017). Strategies that Logistics Leaders use for Achieving Successful Process Improvement (Doctoral dissertation, Walden University).
- Choi, T. M. (2016). Impacts of retailer’s risk adverse behaviors on quick response fashion supply chain systems. Annals of operations research.
- Cohen (2010). Ever Improve: A Guide to Managing Production the TOC Way. UK: Toc Strategic Solutions
- Dalton, M. A. (2009). `What’s Constraining Your Innovation? Research Technology Management, 52(5), 52-64.
- Darlington, R. B. (1995). Optimizing production resources. Management Accounting, 3(4), 50-56.
- Dave, M., Lemay, S. A., Periatt, J., & Opengart, R. (2013). The changing role of inventory specialists in logistics. Journal of Supply Chain Management Systems, 2(3), 1-8.
- Dedera, C. R. (1995). Can TOC and ABC coexist? Unpublished Proceedings. Advanced Semiconductor Manufacturing Conference and Workshop.
- Delivering the Goods. December 2010. pp. 38-42. Retrieved from www.logisticsweek.com
- Korn, D. (2009). Revisit the goal. Modern Machine Shop, 81, 12-14. Cincinnati.
- Ferencikova, D. (2012). Theory of Constraints Based Information Systems in Production Management. Unpublished Conference Papers & Proceedings, European Conference on Management, Leadership & Governance.
- Geri, A. (2008). A theory of constraints approach to inter organizational systems implementation. Information Systems E-Business Management, 6, 341-360
- Grondskis, G., & Sapkauskiene, A. (2011). Cost accounting information use for product mix design. Economics & Management, 16, 48-53
- Holmen, J. S. (1995). ABC vs TOC: It’s a matter of time. Management Accounting, 76(7), 37-40
- Holmes et al (2005). Is TOC for you?. Strategic Finance, 86(10), 51.
- Huber, J., Gossmann, A., & Stuckenschmidt, H. (2017). Cluster-based hierarchical demand forecasting for perishable goods. Expert Systems with Applications, 76, 140-151.
- Ivanov, D., Tsipoulanidis, A., & Schonberger, J. (2017). Operations and Supply Chain Strategy. In Global Supply Chain and Operations Management (pp. 69-96). Springer International Publishing.
- Gonapa, K., Samuel, C., & Sharma, S. K. (2012). Impact of inventory policies on supply chain dynamics. Journal of Supply Chain Management Systems, 1(3), 1-7.
- Campo, K., Gijsbrechts, E., & Nisol, P. (2000). Towards understanding consumer response to stock-outs. Journal of Retailing, 76(2), 219-242.
- Scheibe, K. P., & Blackhurst, J. (2017). Supply chain disruption propagation: A systemic risk and normal accident theory perspective. International Journal of Production Research, 1-17.
- Kershaw, R. (2000). Using TOC to “cure” healthcare problems. Management Accounting Quarterly, 1(3), 22-28.
- Kee, R. (1995). Integrating activity-based costing with the theory of constraints to enhance production-related decision-making. Accounting Horizons, pp. 48-61.
- Kulraj, P. (2014). VIP Industries Teams with Vector Consulting Group to Revamp Its Supply Chain. Nov 15, 2013. Retrieved from http://search.proquest.com/docview/1458411862?accountid=49732,accessed online on 19 April 2014.
- Mabin, V. J., & Balderstone, S. J. (2003). The performance of the theory of constraints methodology: Analysis and discussion of successful TOC applications. International Journal of Operations & Production Management, 23(6), 568-595.
- Menon, N. (2013). Don’t know what’s holding your company back? Theory of Constraints might give you the answer. Corporate Dossier. The Economic Times (Online). Dec 17, 2011. Accessed online on ProQuest, URL: http://search.proquest.com/docview/911422793?accountid=49732
- Mital, M., Del Guidice, M., & Papa, A. (2017). Comparing supply chain risks for multiple product categories with cognitive mapping and analytic hierarchy process. Technological Forecasting and Social Change.
- Umble, M. (1994). Using activity analysis to locate profitability drivers: ABC can support a theory of constraints management process. Management Accounting, 75(11), 43.
- Mitra, M. (January 20, 2012). India’s manufacturing fraternity finally coming up with homegrown quality management paradigms. Economic Times.
- Mohanty, R. P. (2009). Comparative study of production outsourcing models. Journal of Advances in Management Research, 6(1), 41-69.
- Motwani, J., Bramorski, T., & Madan, M. (1998). Approaches to improving process quality in the service sector. Journal of Customer Service in Marketing & Management, 4(3), 75-85.
- Myrelid, A. (2015). Industrial Management & Data Systems, 115(3), 402-418.
- Kumar, N., Saxena, S., & Agrawal, R. (2012). Supply chain management: Road ahead with a literature review based analysis. Journal of Supply Chain Management Systems, 1(4), 37-56.
- Ortiz-T. et al. (2014). Optimal mix of production from the management approach throughput accounting: The case of a small shoe company. Notebooks Accounting, 15(37), 109-133.
- Tatham, P., Wu, Y., Kovacs, G., & Butcher, T. (2017). Supply chain management skills to sense and seize opportunities. The International Journal of Logistics Management, 28(2), 266-289.
- Rahman, S.-U. (2002). The theory of constraints’ thinking process approach to developing strategies in supply chains, International Journal of Physical Distribution & Logistics Management, 32(10), 809-828.
- Rajesh, M. (2014). A mixed integer linear goal programming model for optimizing multiple constrained resources. IUP Journal of Operations Management, 13, 1-7.
- Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., & Wamba, S. F. (2017). World class sustainable supply chain management: Critical review and further research directions. The International Journal of Logistics Management, 28(2), 332-362.
- Yin, R. K. (2014). Case study research design and methods (5th ed.). Thousand Oaks: CA: Sage.
- Anusha, S. L., Alok, S., & Ashiff, S. (2014). Demand forecasting for the Indian pharmaceutical retail: A case study. Journal of Supply Chain Management Systems, 3(2), 1-8.
- Sangameshwaran, P. (2013). Cashing in on constraints. Business line. Dec 13, 2013. Retrieved from http://search.proquest.com/docview/1467779481?account id=4973, retrieved online on 19 September 2016
- Sankaran, K., & Ahmed, M. (2017). Leadership and Information Technology. In Leadership Today (pp. 387-399). Springer International Publishing
- Singh, S.C., & Pandey, S. K. (2013). Supply chain performance: A review of literature. Journal of Supply Chain Management Systems, 2(4), 1-12.
- Schragenheim, E. (2013). Implementing the process of high level decision making-A case study. Unpublished Conference presentation made in 11th TOCICO International Conference in Germany.
- Sharma, S. (2017). Demand. In Inventory Parameters (pp. 25-44). Springer, Singapore
- Parkhi, S., Jagadeesh, D., & Arun Kumar, R. (2014). A study on transport cost optimization in retail distribution. Journal of Supply Chain Management Systems, 3(4), 31-38.
- Gorane, S., & Kant, R. (2017). Supply chain practices and organizational performance: An empirical investigation of Indian manufacturing organizations. The International Journal of Logistics Management, 28(1), 75-101
- Sindi, S., & Roe, M. (2017). The Evolution of Supply Chains and Logistics. In Strategic Supply Chain Management (pp. 7-25). Springer International Publishing
- Sinha, P. K., Sinha, P. K., Gupta, S., Gupta, S., Rawal, S., & Rawal, S. (2017). Brand adoption by BoP retailers. Qualitative Market Research: An International Journal, 20(2), 181-207
- Dalal, S., & Athavale, V. (2012). Analysing supply chain strategy using case-based reasoning. Journal of Supply Chain Management Systems, 1(3), 40-48.
- Varma, T. N., & Khan, D. A. (2014). Information technology in supply chain management. Journal of Supply Chain Management Systems, 3(3), 35-46.
- Shukla, V., & Naim, M. (2017). Detecting disturbances in supply chains: The case of capacity constraints. The International Journal of Logistics Management, 28(2), 398-416.
- Chalotra, V. (2013). An exploratory framework of the role of handling inventory and its management. Journal of Supply Chain Management Systems, 2(3), 57-64.
- TOC Reference Bank. (2014). Goldratt Marketing Group. Retrieved from http://toc-goldratt.com. Retrieved online on 19 September 2016
- Todd, C. (2009). Pyramid power. Quality Progress, 42(6), 40-46.
- Tollington, T., & Wachter, P. (2001). ABC/TA for Internet retail shopping. International Journal of Retail & Distribution Management, 29(4), 149-155.
- Yao, M., & Minner, S. (2017). Review of Multi-Supplier Inventory Models in Supply Chain Management: An Update.
- Yasin, M. M., Czuchry, A. J., & Kady, R. A. (2008). Reengineering operational practices and processes to improve the customer focus of a marketing organization. Journal of Competitiveness Studies, 16(1/2)
- Effect of Different Sources of Sulphur on Micro Nutrient Concentration and Uptake by Wheat
Abstract Views :301 |
PDF Views:2
Authors
Affiliations
1 Department of Soil Science, CCS Haryana Agricultural University, Hisar, Haryana, IN
1 Department of Soil Science, CCS Haryana Agricultural University, Hisar, Haryana, IN
Source
Indian Journal of Health and Wellbeing, Vol 9, No 10-12 (2018), Pagination: 994-1000Abstract
Apot experiment was conducted at Choudhary Charan Singh HaryanaAgricultural University to study the effect of different sources of sulphur on micronutrient concentration and uptake by wheat. Various levels of sulphur significantly increased zinc content in grain over control. The increase in zinc content was more pronounced at highest level of sulphur as compared to lower levels. The increase was 5.0, 8.5 and 10.6 per cent over control at 20, 40 and 60 mg/kg sulphur application, respectively. The maximum uptake (558.07 µg/pot) was observed at highest level and the magnitude of increase was 18.8,27.2 and 33.0 µg/pot at 20,40 and 60 mg/kg sulphur application over control (419.28 µg/pot). The copper concentration in grain significantly increased with increasing level of sulphur over control (6.82%). The gradual increase of sulphur from 20 to 40 and 40 to 60 mg/kg also resulted in significant increase in uptake of copper. With regard to various sources of sulphur, the copper uptake in grain was found to be significantly at par. The concentration of manganese in grain also increased significantly with graded dose of sulphur application over control (83.53%). The uptake of manganese in grain was also influenced significantly with respect to various level of sulphur over control (632.50 µg/pot) recording maximum (817.45 µg/pot) at highest level i.e. 60 mg/kg sulphur application. In grain, the iron content also increased significantly with respect to different doses of sulphur and this increased was 4.2, 6.4 and 10.6 per cent at 20,40 and 60 mg/kg sulphur application over control (97.39%). Uptake of iron by wheat grain was found to be positively and significantly increased with increasing level of sulphur. The increase was 17.9,25.0 and 33.0 per cent at 20,40 and 60 mg/kg sulphur application, respectively over control.Keywords
Micronutrient, Wheat, Sulphur and Uptake.References
- Chaudhary, S.K., & Thakur, R.B. (2007). Efficient farm yard manure management for sustained productivity of rice-wheat cropping system. Indian Journal of Agricultural Sciences,71',443-444.
- Debtanu, M., & Das, D.K. (2005). Influence of manures and fertilizers on the yield and fertility build up of soil under rice (Oryza sativa)-wheat (Triticum aestivum) irrigated ecosystem. Indian Journal of 'AgriculturalSciences, 75(6), 343-345.
- Hegde, D. M., & Babu, S. S. N. (2007). Correcting sulphur deficiencies in soils and crops. Indian Journal of Fertilisers, 3(1), 65-79.
- Islam, M., Ali, S., & Hayat, R. (2009). Effect of integrated application of phosphorus and sulphur on yield and micronutrient uptake by chickpea (Cicer arietinum). International Journal of Agricultural and Biological, 77(1), 33-38.
- Mattern, P.P.J., Schmidt, J.W., & Johnson, V.A. (1970). Screening for high lysine content in wheat. Cereal Science Today, 15, 409-411.
- Niranjan, R.K., & Singh, B. (2005). Effect of organic and inorganic fertilizers on yield and uptake of rice and their residual response on wheat crop. Journal of Farm Sciences, 14(2), 23-24.
- Phogat, S.B, Dahiya, I.S, Hooda, RS, Sangwan, N.K, & Solanki, Y.P.S. (2004). Studies on residual effect of green manuring and farmyard manure for sustained productivity of rice-wheat cropping sequence and on soil health under shallow groundwater table conditions. Annals of Biology, 20,161-165.
- Tufemkci, S., Somnez, R, & Sensoy, R.I.G. (2005). Effects of Arbuscular mycorrhiza fungus inoculation and sulphur and nitrogen fertilization on some plant growth parameters and nutrient contents of chickpea. Journal of Biological Sciences, 5, 738- 743.
- Should Plant Breeders be Denied of Genetic Resources from Protected Areas?
Abstract Views :396 |
PDF Views:125
Authors
Affiliations
1 ICAR-National Bureau of Plant Genetic Resources (ICAR-NBPGR), New Delhi 110 012, IN
2 ICAR-NBPGR Regional Station, Kerala Agricultural University PO, Thrissur 680 656, IN
1 ICAR-National Bureau of Plant Genetic Resources (ICAR-NBPGR), New Delhi 110 012, IN
2 ICAR-NBPGR Regional Station, Kerala Agricultural University PO, Thrissur 680 656, IN
Source
Current Science, Vol 115, No 9 (2018), Pagination: 1621-1621Abstract
Cultivated plants have evolved from their close wild relatives through thousands of years of evolution and selection. Crop wild relatives (CWRs) are taxa closely related to crop plants and form an important source for incorporation of useful traits like biotic and abiotic stress tolerance, which are critical for food and nutritional security and environmental sustainability1,2. Over 167 crops and about 320 high priority CWRs are believed to have originated in India3, which has been designated as the Hindustani Centre of Origin and Diversity by Vavilov4. India is the primary centre of origin of rice, sugarcane, green gram, black gram, jute, mango, citrus, banana, jackfruit, snake gourd, yams, taro, turmeric, ginger, cardamom, black pepper, etc.References
- Prescott-Allen, R. and Prescott-Allen, C., Genes from the Wild: Using Wild Genetic Resources for Food and Raw Materials, Earthscan Publications, London, UK, 1988.
- Hoyt, E., Conserving the Wild Relatives of Crops, IBPGR/IUCN/WWF, Rome, Italy, 1988.
- Arora, R. K. and Nayar, E. R., Wild Relatives of Crop Plants in India, NBPGR Scientific Monograph 7, National Bureau of Plant Genetic Resources, New Delhi, 1984.
- Vavilov, N., Tr. Prikl. Bot. Genet. Sel., 1926, 16, 1–248.
- Impact of Gender Equality on Women's Psychology: A Review
Abstract Views :471 |
PDF Views:0
Authors
Affiliations
1 Department of Psychology, Fateh Chand College for Woman, Hisar, Haryana, IN
2 Department of Psychology, Chaudhary Bansi Lal University, Bhiwani, Haryana, IN
3 Department of Psychology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, IN
1 Department of Psychology, Fateh Chand College for Woman, Hisar, Haryana, IN
2 Department of Psychology, Chaudhary Bansi Lal University, Bhiwani, Haryana, IN
3 Department of Psychology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, IN
Source
Indian Journal of Health and Wellbeing, Vol 14, No 2 (2023), Pagination: 271 - 274Abstract
The study provides a systematic review of studies related to the influence of equality in gender on women's psychology. An approach known as feminine psychology, often known as the psychology of women, focuses on the political, social, and economic problems that females deal with all of their lives. Sigmund Freud's idea of female sexuality, one of the most influential developmental theories dominated by men, wasthe source of its opposition. This means that a women's psychology is affected by various factors. The main motto of this article is to offer a systematic review of the relationship between gender equality and women's psychology. In recent years, a growing body of research has highlighted the importance of societal factors in shaping women's psychological experiences. Cultural norms, stereotypes, and gender roles play significant roles in influencing how women perceive themselves and navigate their social environments. Additionally, the study explores the impact of gender equality initiatives on women'swell-being andmental health outcomes.By examining the existing literature, thisreviewaimsto shed light on thepotential benefits of achieving gender equality in fostering positive psychological development among women.Keywords
psychology, feminism, gender equality, women- Impact of Home Environment, Aggression, and Personality on an Adult's Well-being: A Systematic Review
Abstract Views :361 |
PDF Views:0
Authors
Affiliations
1 Department of Psychology, Fateh Chand College for Woman, Hisar, Haryana, IN
2 Department of Psychology, Chaudhary Bansi Lal University, Bhiwani, Haryana, IN
3 Department of Psychology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, IN
1 Department of Psychology, Fateh Chand College for Woman, Hisar, Haryana, IN
2 Department of Psychology, Chaudhary Bansi Lal University, Bhiwani, Haryana, IN
3 Department of Psychology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, IN