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All Journal Journal of Degraded and Mining Lands Management AGRIVITA, Journal of Agricultural Science
Inboonchuay, Tawatchai
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Evaluating Genetic Coefficients of KUML4 Mung Bean Variety for a Crop Simulation Model Inboonchuay, Tawatchai; Wongmaneeroj, Audthasit; Phankamolsil, Napaporn; Chungopast, Sirinapa; Kongthon, Sahaschai; Somta, Prakit
AGRIVITA Journal of Agricultural Science Vol 46, No 3 (2024)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v46i3.4324

Abstract

The Decision Support System for Agrotechnology Transfer (DSSAT) cropping system model is a part of the management module that processes user inputs describing crop management. The precision and accuracy of cropping models require recent research to calibrate and validate models according to climate changes and new cultivars. This study aims to determine the genetic coefficient (GC) of the mung bean variety KUML4 for the CSM-CROPGRO Model and compare predicted data from the model with observed data in the phenology, growth, yield and yield component used in DSSAT. Mung bean is planted in two seasons (dry and rainy seasons) at two locations. Plant growth is monitored at V4, R3, R6 and R7. DSSAT CROPGRO-cowpea model is used to calibrate the GC with the generalized likelihood uncertainty estimation (GLUE). Results show that the GC evaluation of mung bean by using the second planting date in the highest growth and yield plot, then the genetic coefficient of KUML4 was calibrated by GLUE until predicted values of plant growth and development were close to observed values. The GC of KUML4 mung bean could estimate growth, such as shoot weight, leaf area index, and plant height. The prediction of mung bean yield is acceptable.
Trace metals in vegetable growing area, western region of central Thailand Inboonchuay, Tawatchai; Thongjoo, Chaisit; Pongsivapai, Pongpet
Journal of Degraded and Mining Lands Management Vol. 12 No. 2 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.122.7001

Abstract

This study investigated the trace metal concentrations in the agricultural area on diverse soil parent materials in the western part of central, Thailand. The soils of 84 areas under vegetable cultivation were sampled. The results revealed that the median concentrations of As, Cd, Cu, Pb, Mo, and Zn are lower than that of the background concentration of heavy metals in Thailand based on the standard of the National Environment Board 2021, whereas the maximum concentrations of As and Cr in some soils were higher than the soil quality standard. Principal component analysis showed that clay, Fe, Mn, Cu, Zn, Ni, Pb, Cr, and As were correlated with clay content in a positive way except for Cd. The general levels of Cu, Fe, Mn, and Zn in edible parts of vegetables are within permissible limits for human food. The median concentration of As, Cd, Ni, and Pb in vegetables is higher than the WHO/FAO maximum permissible limits. Besides, the Fe, Mn, and Zn are most abundant in Chinese flowering cabbage. As, Cd, Ni, and Pb are more abundant in Chinese kale, Chinese cabbage, and cabbage. The maximum concentration of trace metals in some areas is of concern for both food safety and human health.
Co-Authors Chungopast, Sirinapa Kongthon, Sahaschai Phankamolsil, Napaporn Pongsivapai, Pongpet Prakit Somta Thongjoo, Chaisit Wongmaneeroj, Audthasit