Phakamas, Nittaya

Preferred name

Phakamas, Nittaya

Alternative Name

Phakamas, N.

Main Affiliation

School of Agricultural Technology

nittaya.ph@kmitl.ac.th

Now showing 1 - 10 of 18

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Seasonal Variation of Tropical Savanna Altered Agronomic Adaptation of Stock-6-Derived Inducer Lines
(2022-11-01)
Sintanaparadee, Paepan
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Dermail, Abil
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Lübberstedt, Thomas
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Lertrat, Kamol
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Chankaew, Sompong
Tropicalization is one of the major objectives in breeding haploid inducers to address the poor adaptation of temperate haploid inducers in doubled haploid production in tropical maize. Gaining a better understanding of weather profiles in targeted agroecology is important. This study aimed to investigate the seasonal variation of tropical savanna climate and its impact on agronomic traits and haploid induction rate (HIR) of Stock-6-derived haploid inducer lines. A total of 14 haploid inducers were evaluated across two typical growing seasons between 2020 and 2021. Weather data were collected on daily minimum and maximum temperatures, relative humidity, precipitation, and solar radiation whereas phenotypic data were recorded on plant phenology, tassel attributes, plant stature, ear components, inducer seed rate (ISR), and HIR. The effects of season, genotype, and genotype by season were significant for all traits except season factor on ISR. Seasonal variation existed where the dry season was more suitable for haploid induction and inducer maintenance, as haploid inducers revealed better agronomic performance and seed set, delayed flowering dates, and higher HIR. Since the crossover performance of haploid inducers over seasons was detected, further implications on genotype selection in each season are discussed.
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Small scale method for estimation of genetic coefficients of photoperiod-insensitive rice using generalized likelihood uncertainty estimation
(2023-03-01)
Suanphrom, Nattawut
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Khurnpoon, Lampan
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Phakamas, Nittaya
Importance of the work: Genetic coefficients are important parameters for simulations of rice yield performance in crop growth models. Most genetic coefficients (GCs) are obtained from large experiments. Objectives: To estimate the GCs of seven photoperiod-insensitive rice cultivars for four planting dates in a pot experiment. Materials & Methods: Input data (soil, weather, management, plant parameters) were collected and used to calibrate the GCs of seven rice cultivars using the GLUE estimator in the DSSAT version 4.7 package. The data were collected from four planting dates: 1) 23 Nov 2019; 2) 23 Dec 2019; 3) 23 Jan 2020; and 4) 23 Feb 2020. The data from planting dates 1, 3 and 4 were used for calibration of the GCs, whereas the data from planting date 2 were used for evaluation of the GCs. Results: Good prediction qualities of the model for most cultivars were indicated for days to anthesis and days to physiological maturity; however, there were poor prediction qualities for almost all cultivars for their biomass and grain weight. Main finding: This information should be useful for further investigations of GCs in rice. Although the results were contrary to the initial hypothesis, the method showed promise for further use in rice modeling research if the method can be improved by experimental management, the use of suitable reference plants for each cultivar and running the model for an appropriate cycle. It was possible to obtain some reliable GCs from small-scale experiments, so the experiment should be improved to obtain better results. Further investigations should focus on the optimum scale and weather data specific to experimental sites.
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Possibility to use crop models for indirect prediction of glycemic index in rice
(2024-01-01)
Phopaijit, S.
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Somchit, P.
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Phakamas, N.
A process for constructing the prediction equations was developed by using simulated biomass and simulated grain yield to be estimating the glycemic index (GI) of two rice varieties, and reference GI was used as a basis for calculation of predicted GI. The CSM-CERES-Rice model was able to construct the best prediction equations, and the equation developed by using simulated biomass and simulated yield were y = 0.0003x + 59.099 and y = 0.0008x + 59.213, respectively. The equations were also used for prediction of GI values of two rice varieties applied with different methods of nitrogen application. The difference of the equations was 0.0% for both simulated biomass and simulated grain yield. The process for indirect prediction of GI is used available simulated data of biomass and grain yield to improve prediction accuracy.
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Effect of Eggshell Wastes from Different Bird Species on Growth and Yield of Peanut
(2023-01-01)
Phakamas, Nittaya
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Gatewit, Phonthip
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Kongsamret, Maythavee
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Somchit, Pornpen
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Aninbon, Chorkaew
Eggshell wastes from various bird species may be used as an alternative calcium source for peanut production. The purpose of this experiment was to determine the effects of eggshell waste from chicken, duck and quail on the growth and yield of peanut. Five treatments consisting of no gypsum control, three eggshell wastes from chicken, duck and quail, and commercial gypsum were laid out in completely randomized design with four replications during December 2020 to April 2021. Peanut variety KK 6 was planted in cement plots. Gypsum and eggshell wastes were applied at the rate of 312.5 kg/ha at 25 days after planting. Data were collected for growth parameters, pod yield and yield components at harvest. Analysis of variance was performed for all parameters, and means were separated by least significant difference at the 0.01 probability level. Eggshell wastes from chicken, duck and quail did not show significant effects for leaf dry weight, stem dry weight, total dry weight and 100 seed weight, but they significantly increased pod dry weight, seed yield, filled seed, shelling percentage and harvest index. All eggshell wastes produced higher growth and yield of peanut than commercial gypsum. Eggshell waste from duck seemed to be better than the other sources in terms of yield increase in KK 6 peanut.
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Assessment of antioxidant enzymes in response to exogenous titanium dioxide (TiO2) nanoparticles in Chainat 1 rice cultivar
(2018-01-01)
Samart, Sutichai
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Phakamas, Nittaya
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Chutipaijit, Sutee
Antioxidant enzymes are important to prevent the destruction of photosynthetic pigments in plant cells. There have been reported that ZnO nanoparticles can promote activities of antioxidant enzymes in rice, but should not use in high activities because it can cause toxicity. Therefore, the objective of this study was to investigate the effect of titanium dioxide (TiO<inf>2</inf>) nanoparticles on the activities of antioxidant enzymes in Chainat 1 rice cultivar. Rice plants were treated with TiO<inf>2</inf> nanoparticles using different concentrations i.e., 0, 100, 200, 400, 600 and 800 mg.L-1 for every 7 days-interval. Photosynthetic pigment contents (chlorophyll A, chlorophyll B and carotenoid) and activities of antioxidant enzymes (catalase and peroxidase) were recorded at 37, 44 and 51 days after planting. The results showed that the treatment of TiO<inf>2</inf> nanoparticles was not effect on the quantities of chlorophyll A, chlorophyll B and carotenoids, but found that the activities of peroxidase and catalase enzymes were significant affected at all growth stages. Especially, at a concentration of 200 mg.L-1 TiO<inf>2</inf> found that rice plants contained the highest activities of peroxidase enzyme and significant difference from control treatment. However, the treatments of higher dose than 200 mg.L-1 TiO<inf>2</inf> would have a chance to meet toxicity in rice plants as the activities of antioxidant enzymes were decreased.
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Estimation of solar radiation based on air temperature and application with the DSSAT v4.5 peanut and rice simulation models in Thailand
(2013-10-15)
Phakamas, Nittaya
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Jintrawet, Attachai
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Patanothai, Aran
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Sringam, Prakan
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Hoogenboom, Gerrit
Estimation of solar radiation (SRAD) from daily air temperature by the modified Bristow-Campbell (B-C) model requires three empirical coefficients that are area specific. Previous estimates of these coefficients for Thailand were based on limited data without any evaluation. Accurate estimation of solar radiation has become more important with the wider application of environmental models. The objective of this study was to calibrate and evaluate the coefficients for Thailand with a broader range of data. Meteorological data from 2008 to 2011 were obtained from eight weather stations, three in the North (Chiang Mai, Chiang Rai and Nakhon Sawan), two in the Northeast (Khon Kaen and Ubon Ratchathani), one in the Central (Lop Buri) and two in the South (Chumporn and Surat Thani). Data for 2010 for all locations except Chiang Rai were used for calibration of the coefficients and the remaining data were used as independent data sets for evaluation. The coefficient of determination (R2), root mean square error (RMSE) and normalized root mean square error (RMSEn) were used as indicators of the agreement between the observed and the calculated SRAD. The results showed that the calibration was acceptable (R2=0.56, RMSE=3.07MJm-2d-1 and RMSEn=17.5%). The derived values are a=0.63, b=1.89 and c=1.54. These new coefficients performed well during evaluation with the 13 independent data sets from the eight locations for all four regions, with the R2, RMSE and RMSEn values in the range of 0.39-0.70, 2.42-3.79MJm-2d-1 and 14.0-21.7%, respectively. In addition, simulations using estimated SRAD from the derived values provided high R2 values for peanut and rice yield and total dry matter. These new coefficient values can be used to estimate solar radiation from air temperature data for all locations in Thailand and similar environments in Southeast Asia. © 2013 Elsevier B.V.
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Genotypic Variations in Ferulic Acid, Antioxidant Capacity and Yield Components of Thai Landrace Rice Genotypes
(2022-01-01)
Aninbon, Chorkaew
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Srihanoo, Chayut
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Phakamas, Nittaya
Ferulic acid is a potent antioxidant in rice. The objective of this study was to evaluate the variations in ferulic acid and antioxidant capacity among landrace rice genotypes. The experiment is conducted under paddy field conditions in two locations. It uses a randomized complete block design with three replications, and the treatments consist of 24 landrace rice genotypes. Data are collected for yield and yield components, ferulic acid, and antioxidant capacity. Rice genotypes are significantly different for plant height, number of panicles per plant, number of seeds per panicle, 1,000-seed weight and grain yield. Grain yields of 24 rice genotypes ranged from 1,476.9 to 4,348.1 kg/ha, and G24 is a good source for high grain yield. Variations in ferulic acid content and antioxidant capacity are found among genotypes. Ferulic acid contents range from 11.56 to 45.68 mg/100 g seed, and antioxidant capacity determined by the DPPH method ranged from 15.46 to 86.26%. G4 has the highest ferulic acid content and antioxidant capacity. These two genotypes are promising for parents in breeding programs targeting improved ferulic acid content, antioxidant capacity, and yield.
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Evaluating the effect of zinc oxide nanoparticles on the physiological responses of nine non-photoperiod sensitive rice cultivars
(2017-01-01)
Samart, Sutichai
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Chutipaijit, Sutee
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Phakamas, Nittaya
The effects of nanopaticles on plant growth and metabolites have been reported in previous studies, but knowledge of the potential impacts of physiological responses is still unclear. Therefore, this study focused on the effect of exposure of zinc oxide (ZnO) nanoparticles on photosynthetic pigment contents (chlorophyll A, chlorophyll B and carotenoids) and the antioxidant enzyme activities (catalase and peroxidase) in nine non-photoperiod sensitive rice cultivars consisting of RD41, RD49, Chai Nat 1, Suphan Buri 1, Suphan Buri 2, Suphan Buri 3, Pathum Thani 1, Pathum Thani 80 and Phitsanulok 2. Rice plants were treated with 200 mg L-1 ZnO nanoparticles for every 15 days-interval. Rice plants were collected at 37, 44 and 51 days after planting for the evaluation of ZnO nanoparticles toxicity. The results showed that nine non-photoperiod sensitive rice cultivars treated with ZnO nanoparticle, as determined by the reduction of photosynthetic pigment contents. The activities of antioxidant enzymes protected plant cell when exposed to the toxicity of ZnO nanoparticles. This study showed that the supplementation of ZnO nanoparticles was no significant difference in photosynthetic pigment contents of rice cultivars. The results indicated that the accumulation of antioxidant enzyme activities could be protecting damage of the photosynthetic pigments in plant cells.
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Impact of salinity stress during reproductive stage on physiological responses and yield of landrace rice genotypes
(2026-12-01)
Aninbon, Chorkaew
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Ruttanaprasert, Ruttanachira
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Pinta, Wanwipa
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Rodnuch, Nattareeporn
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Boonsom, Maythas
Salinity significantly reduces rice yield, particularly when stress occurs during the reproductive stage. This study aimed to evaluate the physiological and yield responses of rice genotypes subjected to salinity stress during this critical growth phase. The experiment followed a 4 × 10 factorial arrangements in a randomized complete block design (RCBD), comprising ten rice genotypes and four salinity levels (control, 6, 12, and 16 dS/m). Data were collected for electrolyte leakage, relative water content (RWC), proline content, SPAD chlorophyll meter reading (SCMR), total phenolic content, grain yield, and 1,000-seed weight. Salinity stress significantly affected both physiological and yield-related traits across all genotypes. Under 16 dS/m salinity, RWC and SCMR declined from 86.13% to 65.59% and from 41.86 to 26.56, respectively, at 14 days after salt application. Electrolyte leakage increased from 8.80% to 19.11% and from 13.12% to 33.23%, while proline accumulation rose sharply from 37.41 to 268.75 µg/g fresh weight. In contrast, total phenolic content decreased slightly from 7.22 to 6.38 mg/g dry weight. Among the genotypes, Met Makham produced the highest grain yield under control conditions (31.72 g/plant). Under moderate to severe salinity, however, Hom Yai consistently achieved the highest yields (18.35 and 15.14 g/plant at 12 and 16 dS/m, respectively) and exhibited the smallest yield reduction (42.12%) relative to the control at 16 dS/m. This reduction was lower than that observed in the salt-tolerant check variety Pokkali. Hom Yai also maintained high RWC (80.75%), SCMR (35.55), and phenolic content (7.22 mg/g), together with relatively low electrolyte leakage (20.91%) and stable yield performance under saline conditions. These findings suggest that Hom Yai was a promising genetic resource for cultivation in saline-prone areas and can serve as valuable parental lines in breeding programs aimed at developing high-yielding, salt-tolerant rice varieties.
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Influence of seed moisture content on seed quality of Bambara groundnut (Vigna subterranean L. Verdc)
(2024-03-01)
Wongwichaiwat, S.
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Chotechung, S.
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Kinnaret, P.
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Kaewtaphan, P.
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Anothai, J.
Two varieties of bambara groundnut (Vigna subterranean L. Verdc) were evaluated for seed quality under different seed moisture contents between 8, 10 and 12%, and the seeds were stored under ambient condition for six months. Songkhla 1 maintained high germination percentage (91.11%) and high germination index (24.43) after storage for six months, whereas TVsu 1221 showed low germination percentage (54.67%) and germination index (14.83) in two months after storage. Differences among seed moisture contents were low and seed moisture content of 12% was better than seed moisture content of 8% for germination percentage and germination index. Variations between bambara groundnut varieties and seed moisture contents were low for shoot length and seedling dry weight. These parameters seemed to be not suitable for evaluation of seed quality of bambara groundnut.
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Phakamas, Nittaya

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