All Outputs (7)

Meta-analysis enables prediction of the maximum permissible arsenic concentration in Asian paddy soil (2021)
Journal Article
Mandal, J., Sengupta, S., Sarkar, S., Mukherjee, A., Wood, M., Hutchinson, S., & Mondal, D. (2021). Meta-analysis enables prediction of the maximum permissible arsenic concentration in Asian paddy soil. Frontiers in Environmental Science, 9, 760125. https://doi.org/10.3389/fenvs.2021.760125

It is now well-established that not just drinking water, but irrigation water contaminated with arsenic (As) is an important source of human As exposure through water-soil-rice transfer. While drinking water As has a permissible, or guideline value,... Read More about Meta-analysis enables prediction of the maximum permissible arsenic concentration in Asian paddy soil.

Effect of potassium solubilizing bacteria and waste mica on potassium uptake and dynamics in maize rhizosphere (2021)
Journal Article
Ahmad, A., Chattopadhyay, N., Mandal, J., Mandal, N., & Ghosh, M. Effect of potassium solubilizing bacteria and waste mica on potassium uptake and dynamics in maize rhizosphere. Journal of the Indian Society of Soil Science, 68(4), 431-442. https://doi.org/10.5958/0974-0228.2020.00034.1

If this output was co-authored by one or more University of Salford student it must include the Student co-authors tag. If this information is missing please add the tag or request the library add the information by emailing library-research@salford.... Read More about Effect of potassium solubilizing bacteria and waste mica on potassium uptake and dynamics in maize rhizosphere.

Nutrient use efficiency indices of N, P, and K under rice-wheat cropping system in LTFE after 34th crop cycle (2021)
Journal Article
Bihari, B., Singh, Y. K., Shambhavi, S., Mandal, J., Kumar, S., & Kumar, R. (2022). Nutrient use efficiency indices of N, P, and K under rice-wheat cropping system in LTFE after 34th crop cycle. Journal of Plant Nutrition, 45(1), 123-140. https://doi.org/10.1080/01904167.2021.1943674

Nutrient efficiency concept is used to increase the overall performance of cropping system by providing economically optimum nutrition to the crop and at same time minimizing nutrient losses from the crop yield. The study was undertaken on the AICRP-... Read More about Nutrient use efficiency indices of N, P, and K under rice-wheat cropping system in LTFE after 34th crop cycle.

SPARC 2021 - Against all odds : Salford postgraduate annual research conference book of abstracts (2021)
Book
Thomas, A., Ibrahim, A., Abraham, A., Halilu, A., Adeosun, A., Court, A., …Whitehead, H. (2021). H. Bury, S. Gowda, T. Ireland, L. Mitchell, E. Oginni, T. Poppelreuter, …D. Whitnall (Eds.), SPARC 2021 - Against all odds : Salford postgraduate annual research conference book of abstracts. Salford, United Kingdom: University of Salford

Welcome to the Book of Abstracts for the 2021 SPARC conference. Our conference is called “Against All Odds” as we celebrate the achievements of our PGRs and their supervisors, who have continued to excel despite the most challenging circumstances. Fo... Read More about SPARC 2021 - Against all odds : Salford postgraduate annual research conference book of abstracts.

Determination of suitable extractant for estimating plant available arsenic in relation to soil properties and predictability by solubility-FIAM (2021)
Journal Article
Raj, A., Mandal, J., Golui, D., Sihi, D., Dari, B., Kumari, P., …Ganguly, P. (2021). Determination of suitable extractant for estimating plant available arsenic in relation to soil properties and predictability by solubility-FIAM. Water, Air, and Soil Pollution, 232(6), 247. https://doi.org/10.1007/s11270-021-05215-y

Extractant for estimating plant available arsenic (As) in soil has not been universally established. Moreover, to assess and monitor the complex chemical behaviour of arsenic (As) in soil and subsequently its transfer in crops, a suitable extraction... Read More about Determination of suitable extractant for estimating plant available arsenic in relation to soil properties and predictability by solubility-FIAM.

Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice : introducing machine learning-based prediction models from field data (2021)
Journal Article
Sengupta, S., Bhattacharyya, K., Mandal, J., Bhattacharya, P., Halder, S., & Pari, A. (2021). Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice : introducing machine learning-based prediction models from field data. Agriculture, ecosystems & environment, 319, 107516. https://doi.org/10.1016/j.agee.2021.107516

Dietary rice consumption can assume a significant pathway of the carcinogenic arsenic (As) in the human system. In search of a viable mitigation strategy, a field experiment was conducted with rice (cv. IET-4786) at geogenically arsenic-contaminated... Read More about Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice : introducing machine learning-based prediction models from field data.

Organo-arsenic complexation studies explaining the reduction of uptake of arsenic in wheat grown with contaminated irrigation water and organic amendments (2021)
Journal Article
Kumar, S., Mishra, B., Kumar, S., & Mandal, J. (2021). Organo-arsenic complexation studies explaining the reduction of uptake of arsenic in wheat grown with contaminated irrigation water and organic amendments. Water, Air, and Soil Pollution, 232(3), 118. https://doi.org/10.1007/s11270-021-05065-8

Application of organics in soil can reduce uptake of arsenic (As) in food crops grown on soil spiked with As. However, the results may be different if the crop is grown with As-contaminated irrigation water. In this study, a modest initiative has bee... Read More about Organo-arsenic complexation studies explaining the reduction of uptake of arsenic in wheat grown with contaminated irrigation water and organic amendments.