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您的检索式：作者名="James Kiniry"
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| 1 | 国外作物生长模型发展综述显示文摘伴随着系统科学和计算机技术的发展 ,作物生长模型研究从 6 0年代开始迅速发展起来 ,至今经历了从幼稚走向成熟 ,从经验走向机理 ,从理论走向实用的发展历程。目前正在逐渐成为土地资源评价、农作物生产管理决策。 | 谢云 James R Kiniry | 2002 | 作物学报2002，28，2： | 93 |
| 2 | 不同空间尺度下的ALMANAC模型验证显示文摘ALMANAC模型最早作为EPIC模型的一部分 ,用于模拟土壤侵蚀导致的土地生产力的下降 .它将试验数据的统计过程和作物生长的机理过程结合起来 ,是一种典型的基于过程模拟的应用型作物生长模型 .如能在不同的空间尺度上验证模型的适用性 ,无疑会大大扩展模型的应用范围 .从这一目的出发 ,利用美国得克萨斯州 1 9个试验田和 9个县的玉米和高粱产量资料及其相关的作物、土壤、田间管理等数据 ,模拟了 1 998年田间尺度 ,1 989~ 1 998年县级尺度的平均作物产量 .模拟结果表明 ,ALMANAC模型能够很好地模拟两种不同空间尺度的作物产量 ,其相对误差在田间尺度上分别为 8.9% (高粱 )和 9.4 % (玉米 ) ,在县级尺度上分别达到 2 .6 % (玉米 )和 - 0 .6 % (高粱 ) .该模型在进行产量预测、掌握作物生长动态 。 | 谢云 James Kiniry 刘宝元 | 2003 | 应用生态学报2003，14，8： | 2 |
| 3 | Energy sorghum biomass harvest thresholds and tillageeffects on soil organic carbon and bulk density显示文摘 | Meki Manyowa N Snider John L Kiniry James R | 2013 | Indus-trial Crops and Products2013，43，： | 1 |
| 4 | Sensitivity Analysis of the ALMANAC Model's Input Variables显示文摘Crop models often require extensive input data sets to realistically simulate crop growth. Development of such input data sets can be difficult for some model users. The objective of this study was to evaluate the importance of variables in input data sets for crop modeling. Based on published hybrid performance trials in eight Texas counties, we developed standard data sets of 10-year simulations of maize and sorghum for these eight counties with the ALMANAC (Agricultural Land Management Alternatives with Numerical Assessment Criteria) model. The simulation results were close to the measured county yields with relative error only 2.6%for maize, and - 0.6% for sorghum. We then analyzed the sensitivity of grain yield to solar radiation, rainfall, soil depth, soil plant available water, and runoff curve number, comparing simulated yields to those with the original, standard data sets. Runoff curve number changes had the greatest impact on simulated maize and sorghum yields for all the counties. The next most critical input was rainfall, and then solar radiation for both maize and sorghum, especially for the dryland condition. For irrigated sorghum, solar radiation was the second most critical input instead of rainfall. The degree of sensitivity of yield to all variables for maize was larger than for sorghum except for solar radiation. Many models use a USDA curve number approach to represent soil water redistribution, so it will be important to have accurate curve numbers, rainfall, and soil depth to realistically simulate yields. | James R. Kiniry Jimmy R. Williams | 2002 | Agricultural Sciences in China2002，1，7： | 0 |
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