000			04941nas|a2200409 i 4500
005			20260817163503.0
008			021225s2001 th uzm rtt 00| a1eng d
035			_a.b11871866
099		9	_aAIT Diss. no. AS-01-05
100	0		_aSripan Cheyglinted
245	1	0	_aAssessment and application of the crop growth simulation model CERES-Rice for rice production in the Central Plain, Thailand
260			_aBangkok : _bAsian Institute of Technology, _c2001
300			_a119 leaves
490	1		_aDissertation ; _vno. AS-01-05
500			_aA dissertation submitted in partial ful{uFB01}llment of the requirements for the degree of Doctor of Technical Science, School of Environment, Resources and Development
502			_aThesis (Ph.D.) - Asian Institute of Technology
520			_aCrop modeling has extensively been used for decision making on inputs and predicting crop growth and yield. CERES{u2014}Rice model is One of the crop models used in Decision Support Systems for Agrotechnology Transfer (DSSAT) software. However, use of this model is still at the infant stage in Thailand. The main objective of this study was to assess the CERES{u2014}Rice model for rice cultivation in the Central Plain of Thailand and to estimate and compare rice yield with some varieties and changes in N levels, and selected management practices under selected crop environments. This research consisted of three phases. At first, three experiments were conducted with selected rice varieties (viz. RD23, HTA, HSP, SPR90 and KDMLIOS) to determine the genetic coefficients, and to examine their grain production with the application of 75 kg N/ha. In the second phase, the model was evaluated by predicting growth and yield of rice varieties at four locations in the Central Plain of Thailand. Thirdly, the model was used to simulate yield of the selected rice varieties using different {uFB01}eld management practices : manipulation of N levels; residue management and suitable seedling age. At 75kg N/ha, the model showed a good performance in predicting the timing of physiological stages (i.e. days to {uFB02}owering and harvesting) and grain and straw yields of all rice varieties, except HTA as it suffered from sheath rot disease. In addition, the model was validated successfully by t-test and other statistical parameters (Bias, RMSE, R V and CV). It showed a gradual increase in yields of KDMLlOS variety and constant yields of RD23, HSP and SPR90 beyond the rate of 75kg N/ha, but the Optimum .rate remained between 38{u2014} 75 kg N/ha. In contrast, observed grain yield continuously declined, which showed the model did not consider other limiting factors like weeds, diseases and insects. Lack of sensitivity to lodging caused over estimation of grain yield with increasing N levels which was a serious drawback of the model. In the application phase, the model showed that application of straw at 3 and 5 t/ha effectively increased grain yield of RD23, HSP and SPR90 in Pathum Thani province (acid sulfate soils). In addition, use of straw residue increased efficiency of applied N. Twenty five day{u2014}old seedlings were more suitable than 35 or 45 day seedlings, which were able to produce higher grain yield according to the model. The model Suggested that split application at each rate of N improves grain yield and N recovery. Finally, the spatial analysis showed that N at 75 kg/ha was more suitable to avoid lodging. Ranking of rice varieties according to yield performance showed SPR90> RD23=HSP>KDMLIOS, thus the SPR9O was the most suitable variety for the Central Plain, which had yield potential of 4,030 to 5,600 kg/ha. The Outputs ofthe model could provide support to researchers and of{uFB01}cials in policy decisions for agriculture sector of Thailand.
650	1	0	_aCrops _xGrowth _xComputer simulation _xThailand
650	1	0	_aRice _xComputer simulation _xThailand
700	1		_aSingh, Gajendra, _eChairperson
700	1		_aSalokhe, Vilas M., _eExamination Committee
700	1		_aRanamukhaarachchi, S.L., _eExamination Committee
700	1		_aClemente, Roberto S., _eExamination Committee
710	2		_aRajamangala Institute of Technology, _eScholarship donor
810	2		_aAsian Institute of Technology. _tDissertation ; _vno. AS-01-05
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B00221
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