Cassava Nitrogen Requirements in Thailand and Crop Simulation Model Predictions

被引:7
作者
Kaweewong, Jakchaiwat [1 ,2 ,3 ]
Tawornpruek, Saowanuch [1 ,2 ,3 ]
Yampracha, Sukunya [4 ]
Yost, Russell [5 ]
Kongton, Sahaschai [6 ]
Kongkeaw, Thanuchai [1 ,2 ,3 ]
机构
[1] Kasetsart Univ, Dept Soil Sci, Bangkok 10900, Thailand
[2] Kasetsart Univ, Ctr Adv Studies Agr & Food, Inst Adv Studies, Bangkok, Thailand
[3] CASAF, NRU KU, Bangkok, Thailand
[4] King Mongkuts Inst Technol Ladkrabang, Bangkok, Thailand
[5] Univ Hawaii Manoa, Dept Trop Plant & Soil Sci, Honolulu, HI 96822 USA
[6] Land Dev Dept, Off Soil Survey & Land Use Planning, Bangkok, Thailand
关键词
Crop modeling; DSSAT; CSM-CSCRP-Cassava; GROWTH;
D O I
10.1097/SS.0b013e31829a283f
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
While cassava is an important crop in diverse regions of Thailand, little information is available to compare sites, select planting dates, and determine nitrogen (N) requirements. In recent years, the Decision Support System for Agrotechnology Transfer (DSSAT) has been used to develop this information. In order to use DSSAT, the cassava model, namely, CSM-CSCRP-Cassava, needs to be calibrated and validated. A cassava response to nitrogen study was conducted in Thailand during the 2011-2012 growing season. The data were also utilized to calibrate the DSSAT cassava model on cultivar Kasetsart 50. The model could be calibrated to predict the first branching date at 116 days, when it actually occurred at 117 days after planting. The overall average top dry weight and dry root yield were 7.39 and 15.69 t.ha(-1), which were predicted with a root mean square error of 0.496 and 0.702, respectively. Maximum leaf area index, leaf N (%), and harvested root N (%) were also adequately simulated. Validation experiments were conducted at the diverse Lopburi, Supanburi, and Chonburi sites. Top dry weight and dry root yield were predicted with indexes of agreement of 0.86 and 0.95 in Lopburi, 0.82 and 0.95 in Supanburi, and 0.83 and 0.55 in Chonburi. Nitrogen requirements for maximum yield were overpredicted by the model, indicating additional work is needed to account for negative effects of excessive N. Effects of regional weather conditions and soil types appeared to be adequately predicted by the calibrated model. Improved planting dates were suggested with the calibrated model.
引用
收藏
页码:248 / 255
页数:8
相关论文
共 24 条
  • [1] COMPUTER-SIMULATION OF CHANGES IN SOIL MINERAL NITROGEN AND CROP NITROGEN DURING AUTUMN, WINTER AND SPRING
    ADDISCOTT, TM
    WHITMORE, AP
    [J]. JOURNAL OF AGRICULTURAL SCIENCE, 1987, 109 : 141 - 157
  • [2] CONCEPTS OF SOLUTE LEACHING IN SOILS - A REVIEW OF MODELING APPROACHES
    ADDISCOTT, TM
    WAGENET, RJ
    [J]. JOURNAL OF SOIL SCIENCE, 1985, 36 (03): : 411 - 424
  • [3] Bremner J.M., 1965, Methods of soil analysis, Part 2, Agronomy 9:1149-1178
  • [4] RESPONSE OF CASSAVA TO WATER SHORTAGE .1. GROWTH AND YIELD
    CONNOR, DJ
    COCK, JH
    PARRA, GE
    [J]. FIELD CROPS RESEARCH, 1981, 4 (03) : 181 - 200
  • [5] Fageria N.K., 2011, GROWTH MINERAL NUTR
  • [6] FAO, 2002, PARTN FORM IMPR CASS
  • [7] Howeler Reinhardt H., 2001, P115, DOI 10.1079/9780851995243.0115
  • [8] Hunt L. A., 1994, DSSAT VERSION 3 3 4, P201
  • [9] Jongkaewwattana S., 1995, SYSTEM SIMULATION MO
  • [10] Kang B. T., 1984, P 6 S INT SOC TROP R