首页> 外文期刊>Journal of Oil Palm Research >PREDICTING SOIL WATER STATUS, EVAPOTRANSPIRATION, GROWTH AND YIELD OF YOUNG OIL PALM IN A SEASONALLY DRY REGION OF MALAYSIA
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PREDICTING SOIL WATER STATUS, EVAPOTRANSPIRATION, GROWTH AND YIELD OF YOUNG OIL PALM IN A SEASONALLY DRY REGION OF MALAYSIA

机译:预测马来西亚季节性干旱地区的土壤水状况,蒸发蒸腾,幼油棕榈的产量和产量

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The northern part of Kedah, Malaysia, generally experiences an annual dry season that may extend from two to three and a half months. Nevertheless, there has been increased expansion in the area of oil palm in the region. In this study, the model OPRODS1M (Oil Palm Production Simulator) was used to examine and predict responses to climatic conditions during the first six years after planting, based on daily climatic data, and to predict growth and yield for a further four years. The mechanistic model generally confirmed measured trends in soil water status and crop water use, and effectively simulated annual bunch yields and annual changes in some vegetative parameters. It was least successful in reproducing frond production rate (FPR; mostly overestimated), frond biomass production (FBP; overestimated) and total frond number per palm (TFNP; either over- or underestimated except in the fourth year). Total vegetative standing biomass (TVSB), frond standing biomass (FSB) and trunk standing biomass (TrSB) were simulated well in years three and four but underestimated in the two subsequent years. Trends in root standing biomass were reproduced well. Simulation of trunk biomass production (TrBP) was good, except in year six when it was underestimated. Root biomass production (RBP) was generally underestimated but simulation of total vegetative biomass production (TVBP) was generally satisfactory. Bunch yields were well simulated, with the correspondence between mean measured and modelled yields being improved by lagging yield by two years with respect to the weather data. These results suggest that the model provides a useful first approximation for simulating the effects of climate on yield, dry matter production, water use and soil water balance in a seasonally dry climate. However, improvements are necessary concerning the detailed simulation of vegetative growth.
机译:马来西亚吉打州北部通常每年经历旱季,可能从两个半月延长到三个半月。然而,该地区油棕面积的增加有所增加。在这项研究中,模型OPRODS1M(油棕生产模拟器)用于根据每日气候数据检查和预测种植后最初六年中对气候条件的响应,并预测未来四年的生长和产量。该机理模型总体上证实了土壤水分状况和作物水分利用的可测趋势,并有效地模拟了年束产量和某些植物参数的年变化。它在繁殖叶片产量(FPR;大部分被高估),叶片生物质产量(FBP;被高估)和每棵棕榈的总叶片数(TFNP;除第四年外被高估或低估)方面最不成功。在第3年和第4年对总营养站立生物量(TVSB),叶站立生物量(FSB)和树干站立生物量(TrSB)进行了很好的模拟,但在随后的两年中被低估了。根系生物量的趋势很好地再现。树干生物量生产(TrBP)的模拟效果很好,但在第六年被低估了。总体上低估了根生物量的产量(RBP),但是总营养生物量的产量(TVBP)的模拟通常令人满意。很好地模拟了农作物单产,相对于气象数据,通过将单产落后两年,可以改善平均测得的产量与模型化的单产之间的对应关系。这些结果表明,该模型为模拟气候对季节性干旱气候下的产量,干物质生产,用水和土壤水分平衡的影响提供了有用的一阶近似。但是,必须对营养生长的详细模拟进行改进。

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