Refine your search
Co-Authors
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
Dubey, Rachana
- Impact of Leadership on Employee Engagement and Intent to Stay
Abstract Views :450 |
PDF Views:0
Authors
Affiliations
1 Dr D Y Patil Institute of Management Studies, Pune, Maharashtra, IN
2 Arya Mahila Vidyalaya P G College, Varanasi, Uttar Pradesh, IN
1 Dr D Y Patil Institute of Management Studies, Pune, Maharashtra, IN
2 Arya Mahila Vidyalaya P G College, Varanasi, Uttar Pradesh, IN
Source
International Journal on Leadership, Vol 7, No 2 (2019), Pagination: 58-66Abstract
Research has shown that there is a current issue in leader member exchange (LMX) literature that needs to be addressed through empirical research. LMX theory has been shown to be related to outcomes such as employee performance, employee turnover, job satisfaction, organizational commitment, job climate, innovation, organizational citizenship behaviour, empowerment, and procedural and distributive justice (Graen & Uhlbien, 1995). But, there has been very limited research relating LMX to employee engagement and intent to stay with an organization. This quantitative study contributes to the literature on LMX theory as it provides empirical evidence that LMX is positively related to employee engagement and employee intent to stay with an organization.Keywords
Leader Member Exchange (LMX), Employee Engagement, Intent to Stay with an Organization.
References
- Abu Elanain, H. M. (2014). Leader member exchange and intent to turnover: Testing a mediated effects model in a high turnover work environment. Management Research Review, 37(2), 110-129.
- Beck, R., & Harter, J. (2015, April 21). Managers account for 70% of variance in employee engagement. Gallup Business Journal. Retrieved from http://www.gallup.com/businessjournal/182792/managers-accountvariance- employee-engagement.aspx
- Cataldo, P. (2011). Focusing on employee engagement: How to measure it and improve it. Retrieved from http://www.kenan-flagler.unc.edu/executivedevelopment/custom-programs/~/media/Files/documents/executivedevelopment/focusing-on-employee-engagement.ashx
- Chaurasia, S., & Shukla, A. (2013). The influence of leader-member exchange relations on employee engagement and work role performance. International Journal of Organization Theory and Behavior, 16(4), 465-493.
- Farndale, E., Beijer, S., van Veldhoven, M., Kelliher, C., & Hope-Hailey, V. (2014). Work and organization engagement: Aligning research and practice. Journal of Organizational Effectiveness: People and Performance, 1(2), 157-176.
- Fitch, K., & Agrawal, S. (2015, May 7). Why women are better managers than men: U.S. employees with female bosses are more engaged than employees with male bosses. Gallup Business Journal. Retrieved from http://www.gallup.com/businessjournal/183026/female-bosses-engagingmale-bosses.aspx
- Graen, G. B., & Scandura, T. A. (1987). Toward a psychology of dyadic organizing. In L. L. Cummings & B. M. Staw (Eds.), Research in Organizational Behavior (pp. 175-208). Greenwich, CT: JAI Press
- Hajjaj, K. G. (2014). Relationship between servant leadership style and intent to stay among employees in the municipality of Gaza. International Journal of Business and Social Science, 5(7), 95-101
- Harter, J. (2015). Engage your long-time employees to improve performance. Harvard Business Review. Retrieved from https://hbr.org/2015/03/engageyourlongtime-employees-to-improve-performance
- Harter, J., & Adkins, A. (2015, April 8). Employees want a lot more from their managers. Gallup Business Journal. Retrieved from http://www.gallup.com/businessjournal/182321/employees-lotmanagers.Aspx
- Harter, J. K., Schmidt, F. L., & Hayes, T. L. (2002). Business unit-level relationship between employee satisfaction, employee engagement, and business outcomes: A meta-analysis. Journal of Applied Psychology, 87(2), 268-279.
- Jordan, P. J., & Troth, A. (2011). Emotional intelligence and leader member exchange. Leadership & Organization Development Journal, 32(3), 260- 280.
- Kahn, W. A. (1990). Psychological conditional of personal engagement and disengagement at work. Academy of Management Journal, 33, 692-724.
- Kim, K., & Jogaratnam, G. (2010). Effects of individual and organizational factors on job satisfaction and intent to stay in the hotel and restaurant industry. Journal of Human Resources in Hospitality and Tourism, 9(3), 318-339.
- Kim, B., Lee, G., & Carlson, K. D. (2010). An examination of the nature of the relationship between leader member exchange (LMX) and turnover intent at different organizational levels. International Journal of Hospitality Management, 29(4), 591-597.
- Kim, S., Price, J. L., Mueller, C. W., & Watson, T. W. (1996). The determinants of career intent among physicians at a U.S. Air Force hospital. Human Relations, 49, 946-976.
- Lee, T. W., & Mitchell, T. R. (1991). The unfolding effects of organizational commitment and anticipated job satisfaction on voluntary employee turnover. Motivation and Emotion, 15(1), 99-121.
- Lee, T. W., & Mitchell, T. R. (1994). An alternative approach: The unfolding model of voluntary employee turnover. The Academy of Management Review, 19(1), 51-89.
- Lee, T. W., & Mowday, R. T. (1987). Voluntarily leaving an organization: An empirical investigation of Steers and Mowday’s model of turnover. The Academy of Management Journal, 30(4), 721-743.
- Liu, Z., Cai, Z., Li, J., Shi, S., & Fang, Y. (2013). Leadership style and employee turnover intentions: A social identity perspective. Career Development International, 18(3), 305-324.
- Lussier, R., & Achua, C. (2013). Leadership: Theory, application, and skill development. Boston, MA: Cengage Learning.
- March, J. G., & Simon, H. A. (1958). Organizations. New York, NY: Wiley. Marshburn, D. (2007). Clinical competence, satisfaction, and intent to stay in new nurses (Doctoral Dissertation). Available from ProQuest Dissertations and Theses Database. (UMI No. 3255418).
- Mobley, W. (1977). Intermediate linkages in the relationship between job satisfaction and employee turnover. Journal of Applied Psychology, 62(2), 237-240.
- Mobley, W. (1982). Employee turnover: Causes, consequences, and control. Reading, MA: Addison-Wesley.
- Mobley, W. H., Griffeth, R. W., Hand, H. H., & Meglino, B. M. (1979). Review and conceptual analysis of the employee turnover process. Psychological Bulletin, 86, 493-522.
- Northouse, P. G. (2013). Leadership: Theory and practice. Thousand Oaks, CA: Sage.
- Pearce, C. L., & Conger, J. A. (2003). Shared leadership: Reframing the hows and whys of leadership. Thousand Oaks, CA: Sage.
- Porter, L. W., & Steers, R. W. (1973). Organizational, work, and personal factors in employee turnover and absenteeism. Psychological Bulletin, 80, 151-176.
- Price, J. L. (1977). The study of turnover. Ames, IA: Iowa State University Press.
- Price, J. L., & Mueller, C. W. (1981). Professional turnover: The case of nurses. New York, NY: SP Medical and Scientific Books.
- Putnam, L., & Mumby, D. (2013). The Sage handbook of organizational communication: Advances in theory, research, and methods. Thousand Oaks, CA: Sage.
- Rich, B. L., Lepine, J. A., & Crawford, E. R. (2010). Job engagement: Antecedents and effects on job performance. Academy of Management Journal, 53, 617- 635.
- Robinson, D., Perryman, S., & Hayday, S. (2004). The drivers of employee engagement: Report 408. Institute for Employment Studies. Retrieved from http://www.employment-studies.co.uk/system/files/resources/files/408.pdf
- Tosi, H. L. (2008). Theories of organization. Thousand Oaks, CA: Sage.
- Truckenbrodt, Y. (2000). The relationship between leadermember exchange and commitment and organization citizenship behavior. Acquisition Review Quarterly, 233-244.
- Whittington, J. L., & Galpin, T. J. (2010). The engagement factor: Building a high commitment organization in a low-commitment world. Journal of Business Strategy, 31(5), 14-24.
- Controlled Traffic Farming: An Approach to Minimize Soil Compaction and Environmental Impact on Vegetable and Other Crops
Abstract Views :168 |
PDF Views:29
Authors
Affiliations
1 Division of Crop Research, ICAR-Research Complex for Eastern Region, Patna 800 014, IN
2 Plant Breeding, Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843, US
1 Division of Crop Research, ICAR-Research Complex for Eastern Region, Patna 800 014, IN
2 Plant Breeding, Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843, US
Source
Current Science, Vol 119, No 11 (2020), Pagination: 1760-1766Abstract
Mechanized farming for vegetable production has evolved as an integral part of commercial agriculture during the past few decades. As a first step towards mechanized farming the use of tractors in Indian agriculture has increased by 528% during the period 1990–91 to 2018–19 from 0.15 to 0.8 million/year. Undoubtedly, use of such technologies has made vegetable as well as foodgrain production a profitable venture by easing land preparation, weed management and other intercultural operations, crop harvesting, etc. However, their continuous use in production fields has resulted in the substantial compaction of soil along the wheel lines of tractors and similar heavy machinery. Reports indicate a significant yield loss (13–73%) owing to soil compaction because it restricts ischolar_main penetrance into the soil, limiting nutrient and water uptake by the plants, and also potential water stagnation, which can limit the normal activities of respiring ischolar_mains leading to retarded plant growth and ischolar_main diseases. In this context, control traffic farming (CTF), which aims to reduce the area affected by the operation of heavy machinery that otherwise lead to soil compaction, brings a substantial value to the current global focus of sustainable and precision farming. CTF attempts to restrict the spatial movement of machinery wheels to fewer operation lanes during and across production cycles for a long time and allows specifically the undisturbed areas of soil for crop production. Research confirms a significant improvement in crop yield in different crop production systems worldwide and reduction in methane emission due to soil absorption (372–2100%) compared to random traffic farming. In this article, we discuss the advantages of CTF in terms of ischolar_main growth, nutrient mobilization and energy efficiency of the vegetable production system, and also argue on its scope in the Indian context, given the situation that no or only a few studies have been reported from the country.Keywords
Controlled Traffic Farming, Environmental Impact, Soil Compaction, Vegetables.Full Text
- Assessing the impact of air pollution on trees and crops in the Eastern Gangetic Plains of India
Abstract Views :37 |
PDF Views:18
Authors
Rachana Dubey
1,
Arbind Kumar Choudhary
1,
Shreetu Singh
2,
Anurag Ajay
3,
Santosh Kumar
1,
Rakesh Kumar
1,
Surajit Mondal
1,
Vivek Kumar Singh
1
Affiliations
1 ICAR-Research Complex for Eastern Region, Patna 800 014, India, IN
2 Amity University, Noida 201 301, India, IN
3 International Maize and Wheat Improvement Centre, Patna 800 025, India, IN
1 ICAR-Research Complex for Eastern Region, Patna 800 014, India, IN
2 Amity University, Noida 201 301, India, IN
3 International Maize and Wheat Improvement Centre, Patna 800 025, India, IN
Source
Current Science, Vol 124, No 8 (2023), Pagination: 956-963Abstract
Air pollution is one of the environmental concerns which is a threat to the health of our plants and animals. Little knowledge exists in the literature about its impact on trees and crops. The objective of the present study was to assess the impact of air pollutants on the biochemical parameters of 19 tree and crop species from five different locations in Patna, Bihar, India. Air pollution tolerance index value showed that Ficus religiosa, Zea mays, Carthamus tinctorius and Cajanus cajan were more tolerant compared to the other crops. Anticipated performance index value showed that trees like F. religiosa, Azadirachta indica and Mangifera indica and crops like C. cajan, Z. mays and Triticum aestivum were most suitable under air pollution conditionKeywords
Air pollution tolerance index, anticipated performance index, particulate matter, trees and crops.Full Text
References
- Visual, A., IQAir 1, 2020, pp. 1–35.
- Barrs, H. D. and Weatherly, P. E., Physiological indices for high yield potential in wheat. Indian J. Plant Physiol., 1962, 25, 352–357.
- Bora, M. E. and Joshi, N. A., A study on variation in biochemical aspects of different tree species with tolerance and performance index. Ecoscan, 2014, 9(1), 59–63.
- Joshi, P. C. and Swami, A., Air pollution induced changes in the photosynthetic pigments of selected plant species. J. Environ. Biol., 2009, 30(2), 295–298.
- Giri, S., Shrivastava, D., Deshmukh, K. and Dubey, P., Effect of air pollution on chlorophyll content of leaves. Curr. Agric. Res. J., 2013, 1(2), 93–98.
- Pirzad, A., Shakiba, M. R., Zehtab-Salmasi, S., Mohammadi, S. A., Darvishzadeh, R. and Samadi, A., Effect of water stress on leaf rel-ative water content, chlorophyll, proline and soluble carbohydrates in Matricaria chamomilla L. J. Med. Plant Res., 2011, 5(12), 2483–2488.
- Gallie, D. R., L-Ascorbic acid: a multifunctional molecule supporting plant growth and development. Scientifica, 2013, 2013., 1–24.
- Singh, S. K., Rao, D. N., Agrawal, M., Pandey, J. and Narayan, D., Air pollution tolerance index of plants. J. Environ. Manage., 1991, 32(1), 45–55.
- Gheorghe, I. F. and Ion, B., The effects of air pollutants on vegetation and the role of vegetation in reducing atmospheric pollution. In The Impact of Air Pollution on Health, Economy, Environment, and Ag-ricultural Sources, Intech, 2011, pp. 241–280.
- Jyothi, S. J. and Jaya, D. S., Evaluation of air pollution tolerance index of selected plant species along roadsides in Thiruvananthapu-ram, Kerala. J. Environ Biol., 2010, 1, 379–386.
- Kaur, M. and Nagpal, A. K., Evaluation of air pollution tolerance index and anticipated performance index of plants and their appli-cation in development of green space along the urban areas. Envi-ron. Sci. Pollut. Res., 2017, 24(23), 18881–18895.
- Yadav, R. and Pandey, P., Assessment of air pollution tolerance index (APTI) and anticipated performance index (API) of roadside plants for the development of greenbelt in urban area of Bathinda City, Punjab, India. Bull. Environ. Contam. Toxicol., 2020, 105(6), 906–914.
- Agarwal, P., Sarkar, M., Chakraborty, B. and Banerjee, T., Phyto-remediation of air pollutants: prospects and challenges. In Phyto Management of Polluted Sites, 2019, pp. 221–241.
- Sahu, C., Basti, S. and Sahu, S. K., Air pollution tolerance index (APTI) and expected performance index (EPI) of trees in Sambalpur town of India. SN Appl. Sci., 2020, 2(8), 1–14.
- Malav, L. C., Kumar, S., Islam, S., Chaudhary, P. and Khan, S. A., Assessing the environmental impact of air pollution on crops by monitoring air pollution tolerance index (APTI) and anticipated performance index (API). Environ. Sci. Pollut. Res., 2022, 1, 16.
- Enitan, I. T., Durowoju, O. S., Edokpayi, J. N. and Odiyo, J. O., A review of air pollution mitigation approach using air pollution tolerance index (APTI) and anticipated performance index (API). Atmos-phere, 2022, 13(3), 374.
- Rai, P. K., Environmental magnetic studies of particulates with special reference to biomagnetic monitoring using roadside plant leaves. Atmos. Environ., 2013, 72(13), 129.
- CPCB, Central Pollution Control Board, Ministry of Environment and Forests, Government of India, National Ambient Air Quality Statuo and Trends in India, 2012; http://cpcb.nic.in/National Ambi-ent Air Quality Standards.php
- Cornelissen, J. H. et al., Foliar pH as a new plant trait: can it explain variation in foliar chemistry and carbon cycling processes among subarctic plant species and types? Oecologia, 2006, 147(2), 315–326.
- Arnon, D. I., Copper enzymes in isolated chloroplasts. Polyphe-noloxidase in Beta vulgaris. Plant Physiol., 1949, 24, 1.
- Roe, J. H. and Kuether, C. A., The determination of ascorbic acid in whole blood and urine through the 2,4-dinitrophenylhydrazine derivative of dehydroascorbic acid. J. Biol. Chem., 1943, 147(2), 399–407.
- Singh, S. K. and Rao, D. N., Evaluation of plants for their tolerance to air pollution. In Proceedings of the Symposium on Air Pollution Control, Indian Association for Air Pollution Control, New Delhi, India, 1983, vol. 1, pp. 218–224.
- Prajapati, S. K. and Tripathi, B. D., Anticipated performance index of some tree species considered for green belt development in and around an urban area: a case study of Varanasi city, India. J. Envi-ron. Manage., 2008, 88(4), 1343–1349.
- Rai, P. K., Impacts of particulate matter pollution on plants: impli-cations for environmental biomonitoring. Ecotoxicol. Environ. Saf., 2016, 1(29), 120–136.
- Noor, M. J. et al., Estimation of anticipated performance index and air pollution tolerance index of vegetation around the marble industrial areas of Potwar region: bioindicators of plant pollution response. Environ. Geochem. Health, 2015, 37(3), 441–455.
- Rahmawati, N., Rosmayati, D. and Basyuni, M., Chlorophyll con-tent of soybean as affected by foliar application of ascorbic acid and inoculation of arbuscular mycorrhizal fungi in saline soil. Int. J. Sci. Technol. Res., 2014, 3(7), 127–131.
- Li, Y. et al., Factors influencing leaf chlorophyll content in natural forests at the biome scale. Front. Ecol. Evol., 2018, 6, 64.
- Manjunath, B. T. and Reddy, J., Comparative evaluation of air pol-lution tolerance of plants from polluted and non-polluted regions of Bengaluru. J. Appl. Biol. Biotechnol., 2019, 7, 63–68.
- Joshi, N., Chauhan, A. and Joshi, P. C., Impact of industrial air pol-lutants on some biochemical parameters and yield in wheat and mustard plants. Environmentalist, 2009, 29(4), 398–404.
- Roy, A., Bhattacharya, T. and Kumari, M., Air pollution tolerance, metal accumulation and dust capturing capacity of common tropical trees in commercial and industrial sites. Sci. Total Environ., 2020, 722, 137622.
- Soil organic carbon fractions, carbon stocks and microbial biomass carbon in different agroforestry systems of the Indo-Gangetic Plains in Bihar, India
Abstract Views :44 |
PDF Views:16
Authors
Nongmaithem Raju Singh
1,
A. Raizada
2,
K. K. Rao
3,
Kirti Saurabh
3,
Kumari Shubha
3,
Rachana Dubey
3,
L. Netajit Singh
4,
Ashish Singh
5,
A. Arunachalam
6
Affiliations
1 ICAR Research Complex for Eastern Region, Patna 800 014, India; ICAR Research Complex for North Eastern Hill Region, Umiam 793 103, India, IN
2 ICAR-Mahatma Gandhi Integrated Farming Research Institute, Motihari 845 429, India, IN
3 ICAR Research Complex for Eastern Region, Patna 800 014, India, IN
4 College of Agriculture University, Jodhpur 342 304, India, IN
5 ICAR Research Complex for North Eastern Hill Region, Umiam 793 103, India, IN
6 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India, IN
1 ICAR Research Complex for Eastern Region, Patna 800 014, India; ICAR Research Complex for North Eastern Hill Region, Umiam 793 103, India, IN
2 ICAR-Mahatma Gandhi Integrated Farming Research Institute, Motihari 845 429, India, IN
3 ICAR Research Complex for Eastern Region, Patna 800 014, India, IN
4 College of Agriculture University, Jodhpur 342 304, India, IN
5 ICAR Research Complex for North Eastern Hill Region, Umiam 793 103, India, IN
6 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India, IN
Source
Current Science, Vol 124, No 8 (2023), Pagination: 981-987Abstract
A study was undertaken in the Vaishali district of Bihar, India, in 2020 to assess the effect of various agroforestry systems (AFS) on the distribution of different pools of soil organic carbon (fraction I – very labile, fraction II – labile, fraction III – less labile and fraction IV – non-labile), carbon stocking and soil microbial activity. The mean (0–45 cm) total organic carbon (TOC) in different AFS ranged from 5.55 to 6.64 Mg C ha–1, with the highest under poplar-based AFS (PB-AFS). Across the AFS studied, the C stocks (0–45 cm) varied from 36.24 (mango-based AFS) to 41.43 Mg C ha–1 (PB-AFS). Overall, the magnitude of C fractions showed the order: fraction I > fraction IV > fraction III > fraction II. Significantly higher soil microbial biomass carbon was recorded under PB-AFS (219.36 mg g–1) in 0–15 cm depth. Basal respiration was also the highest under PB-AFS (0.54 mg CO2-C g–1 h–1), followed by TB-AFS (0.50 mg CO2-C g–1 h–1) in 0–15 cm depth. Principal component analysis result showed that PC 1 and PC 2 represented about 97% of the total variation. TOC and active carbon pool had the maximum loading in PC 1, while microbial metabolic quotient and bulk density had the maximum value in PC 2Keywords
Agroforestry system, basal respiration, princi-pal component analysis, soil microbial activity, total orga-nic carbon.Full Text
References
- Lal, R., Soil carbon sequestration impacts on global climate change and food security. Science, 2004, 304(5677), 1623–1627.
- Zhang, H. et al., Changes in soil microbial biomass, community composition, and enzyme activities after half-century forest restora-tion in degraded tropical lands. Forests, 2019, 10(12), 1124.
- Watson, R. T., Noble, I. R., Bolin, B., Ravindranath, N. H., Verardo, D. J. and Dokken, D. J., In Land Use, Land-Use Change and Forestry: A Special Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, 2000.
- Das, D. K. and Chaturvedi, O. P., Structure and function of Populus deltoides agroforestry systems in eastern India: 1. Dry matter dynamics. Agrofor. Syst., 2005, 65(3), 215–221.
- Nair, P. K. R., Classification of agroforestry systems. Agrofor. Syst., 1985, 3(2), 97–128.
- Allen, S. E., Grimshaw, H. M., Parkinson, J. A. and Quarnby, C., Chemical Analysis of Ecological Materials, Blackwell Scientific, Oxford, UK, 1974, p. 565.
- Heanes, D. L., Determination of total organic‐C in soils by an im-proved chromic acid digestion and spectrophotometric procedure. Commun. Soil Sci. Plant Anal., 1984, 15(10), 1191–1213.
- Chan, K. Y., Bowman, A. and Oates, A., Oxidizible organic carbon fractions and soil quality changes in an oxic paleustalf under dif-ferent pasture leys. Soil Sci., 2001, 166(1), 61–67.
- Nunan, N., Morgan, M. A. and Herlihy, M., Ultraviolet absorbance (280 nm) of compounds released from soil during chloroform fumigation as an estimate of the microbial biomass. Soil Biol. Biochem., 1998, 30(12), 1599–1603.
- Parihar, C. M. et al., Long term effect of conservation agriculture in maize rotations on total organic carbon, physical and biological properties of a sandy loam soil in north-western Indo-Gangetic Plains. Soil Till. Res., 2016, 161, 116–128.
- Grisi, B. M., The chemical method of the measurement of soil respiration. Ciência e Cultura, 1978, 30, 82–88.
- Anderson, T. H. and Domsch, K. H., Application of eco-physiological quotients (qCO2 and qD) on microbial biomasses from soils of different cropping histories. Soil Biol. Biochem., 1990, 22(2), 251–255.
- Blair, G. J., Lefroy, R. D. and Lisle, L., Soil carbon fractions based on their degree of oxidation and the development of a carbon management index for agricultural systems. Aust. J. Agric. Res., 1995, 46(7), 1459–1466.
- Ramesh, T., Manjaiah, K. M., Mohopatra, K. P., Rajasekar, K. and Ngachan, S. V., Assessment of soil organic carbon stocks and fractions under different agroforestry systems in subtropical hill agro-ecosystems of north-east India. Agrofor. Syst., 2015, 89(4), 677–690.
- Lal, R., Carbon sequestration. Philos. Trans. R. Soc. London, Ser. B, 2008, 363(1492), 815–830.
- Rathore, A. C. et al., Performance of mango based agrihorticultural models under rainfed situation of Western Himalaya, India. Agro-for. Syst., 2013, 87(6), 1389–1404.
- Singh, N. R., Arunachalam, A. and Devi, N. P., Soil organic carbon stocks in different agroforestry systems of south Gujarat. Range Manage. Agrofor., 2019, 40(1), 89–93.
- Lal, R., Challenges and opportunities in soil organic matter research. Eur. J. Soil Sci., 2009, 60, 1–12.
- Franzluebbers, A. J., Soil organic matter as an indicator of soil quali-ty. Soil Till. Res., 2002, 66, 95–106.
- Anantha, K. C., Majumder, S. P., Badole, S., Padhan, D., Datta, A., Mandal, B. and Sreenivas, C. H., Pools of organic carbon in soils under a long-term rice–rice system with different organic amendments in hot, sub-humid India. Carbon Manage., 2020, 11(4), 331–339.
- Samal, S. K. et al., Evaluation of long-term conservation agriculture and crop intensification in rice–wheat rotation of Indo-Gangetic Plains of South Asia: carbon dynamics and productivity. Eur. J. Agron., 2017, 90, 198–208.
- Benbi, D. K., Brar, K., Toor, A. S., Singh, P. and Singh, H., Soil carbon pools under poplar-based agroforestry, rice–wheat, and maize–wheat cropping systems in semi-arid India. Nutr. Cycling Agroecosyst., 2012, 92(1), 107–118.
- Singh, G., Carbon sequestration under an agri-silvicultural system in the arid region. Indian For., 2005, 147, 543–552.
- Seneviratne, G., Litter quality and nitrogen release in tropical agri-culture. Biol. Fertil. Soils, 2000, 3(1), 60–64.
- Kaur, T., Brar, B. S. and Dhillon, N. S., Soil organic matter dynamics as affected by long-term use of organic and inorganic fertilizers under maize–wheat cropping system. Nutr. Cycling Agroecosyst., 2008, 81(1), 59–69.
- Debnath, S., Patra, A. K., Ahmed, N., Kumar, S. and Dwivedi, B. S., Assessment of microbial biomass and enzyme activities in soil under temperate fruit crops in north western Himalayan region. J. Soil Sci. Plant Nutr., 2015, 15(4), 848–866.
- Yang, K., Zhu, J., Zhang, M., Yan, Q. and Sun, O. J., Soil microbial biomass carbon and nitrogen in forest ecosystems of Northeast China: a comparison between natural secondary forest and larch plantation. J. Plant Ecol., 2010, 3(3), 175–182.
- Bastida, F., Zsolnay, A., Hernández, T. and García, C., Past, present and future of soil quality indices: a biological perspective. Geo-derma, 2008, 147(3–4), 159–171.
- Naik, S. K., Maurya, S. and Bhatt, B. P., Soil organic carbon stocks and fractions in different orchards of eastern plateau and hill region of India. Agrofor. Syst., 2016, 91(3), 541–552.
- Kumar, A. et al., Soil organic carbon pools under Terminalia chebula Retz. based agroforestry system in Himalayan foothills, India. Curr. Sci., 2020, 118(7), 1098–1103.
- Six, J., Feller, C., Denef, K., Ogle, S., de Moraes Sa, J. C. and Al-brecht, A., Soil organic matter, biota and aggregation in temperate and tropical soils effects of no-tillage. Agronomie, 2002, 22(7–8), 755–775.