首页> 外文期刊>Range Management & Agroforestry >Testing CERES-Sorghum model in simulating yield and yields component of forage sorghum in relation to plant population.
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Testing CERES-Sorghum model in simulating yield and yields component of forage sorghum in relation to plant population.

机译:测试CERES-高粱模型,以模拟饲料高粱相对于植物种群的产量和产量组成。

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摘要

This study was conducted during kharif season of 1993 to compare forage biomass, yield and leaf area index (LAI) simulated with CERES-Sorghum model with actual biomass, yield and LAI produced across a wide range of plant population in Jhansi, Uttar Pradesh, India. The treatments consisted seven-plant population density: 20, 30, 40, 50, 60, 70, 80 row to row distance (cm) with 20, 15, 10, 6, 4, 3, 2 plant (m2). The experiment was laid out under optimal conditions (90 kg N/ha and 40 kg P2O5/ha) with three replications having randomized block design. The highest dry matter production (15050 kg/ha) and maximum LAI (5.01) were recorded under 15x104 plant/ha. Simulated LAI and total dry biomass (TDM) followed the same pattern throughout the growing period in high plant density, i.e. 10 to 20x104plants/ha. LAI and TDM could be predicted fairly well in treatments having high plant population without bias. In low plant population (i.e. between 6 to 2x104 plants/ha), the model tended to underestimate LAI and TDM. The mean predicted and observed TDM was 5234 and 11038 kg/ha, respectively, with mean difference (standard deviation) of -6103.0 (+556) kg/ha. However, the model generally over predicted the grain yield (bias=983.5 kg/ha) and 1000 seed weight (bias=13.9 g). Weakness/problem in the CERES-Sorghum model to underestimate TDM under condition of population below 10x104 plants/ha, and inability to partition dry matter into stover and grain yield high population must be resolved before using CERES-Sorghum model to address management decisions for forage sorghum..
机译:这项研究是在1993年的卡里夫季节期间进行的,目的是比较采用CERES-Sorghum模型模拟的饲草生物量,产量和叶面积指数(LAI)与印度北方邦占西地区各种植物种群的实际生物量,产量和LAI 。处理包括七种植物的种群密度:20、30、40、50、60、70、80行距(cm),其中有20、15、10、6、4、3、2株植物(平方米)。实验是在最佳条件下(90 kg N / ha和40 kg P2O5 / ha)进行的,进行了三次重复,具有随机区组设计。在15x104的工厂/公顷下记录了最高的干物质产量(15050 kg / ha)和最大的LAI(5.01)。在整个植物生长期间,高植物密度(即10至20x104植物/公顷)的模拟LAI和总干生物量(TDM)遵循相同的模式。在高植物种群无偏倚的处理中,可以很好地预测LAI和TDM。在低植物种群(即6至2x104株/公顷)中,该模型往往低估了LAI和TDM。预测和观察到的TDM平均分别为5234和11038 kg / ha,平均差异(标准差)为-6103.0(+556)kg / ha。但是,该模型通常过度预测了谷物的产量(偏差= 983.5 kg / ha)和1000种子重量(偏差= 13.9 g)。在使用CERES-Sorghum模型解决饲料管理决策之前,必须解决CERES-Sorghum模型在种群数量低于10x104植物/公顷的情况下低估TDM的弱点/问题以及无法将干物质分配到秸秆和高产谷物的问题。高粱..

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