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All Journal AGRIVITA, Journal of Agricultural Science
Phankamolsil, Napaporn
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Agriculture, Biological Sciences & Forestry

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Monitoring the Effects of Sea Level Rise on some Soil Properties Related to Salt Affected Soils in Agricultural Areas of Lower Central Plain, Thailand Phankamolsil, Napaporn
AGRIVITA, Journal of Agricultural Science Vol 43, No 3 (2021)
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.v43i3.2183

Abstract

The research was implemented to monitor the effects of sea level rise on some soil properties associated with salt affected soils in agricultural areas on the Lower Central Plain, Thailand and determine the severity of salt impact during different periods in these areas. To achieve these goals, soil samples from 11 locations were selected for investigation. All soils were deep, poorly drained, mainly fine textured, and low developed. The soil moisture ranged from 20.84-79.04%. Soil electrical conductivity (ECe) varied substantially between locations, depth levels, and periods of soil sampling, ranging from 0.21-4.42 dS/m. The sodium adsorption ratio (SAR) of these soils during the periods of soil sampling was rather higher than 13 in either some or all layers of the soil profiles, ranging from 6.80-41.89. These results suggested that many of the study locations were affected by salts and all sites could be classified as sodic soils with the classification increasing to saline-sodic soils in locations N4 in April, N5 in March, July and August, and P4 in March 2018. Thus, during these occasions, it was possible that the increased salt levels were due to the rising sea level compared to during May and June when there was high precipitation.
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.
Co-Authors Chungopast, Sirinapa Inboonchuay, Tawatchai Kongthon, Sahaschai Prakit Somta Wongmaneeroj, Audthasit