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1)  heading time prediction
穗期预测
2)  prediction of heading stage
抽穗期预测
3)  ear period
穗期
1.
Six maize hybrid seeds that had great response to water were researched under normal water supply condition,mild drought stress and moderate drought stress during ear period.
2004~2005年在黑龙江省农科院嫩江农科所抗旱大棚内,选用6个玉米单交种作为试材,在穗期设置正常供水、轻度干早胁迫和中度干早胁迫3个水分处理,研究不同水分处理条件下,不同玉米品种穗部生长发育的变化与产量的关系。
4)  heading stage
穗期
1.
Drought resistance ability was identified for these varieties at seedling stage and heading stage.
收集国内外节水抗旱稻品种20份,对其进行苗期及穗期抗旱性鉴定,结果表明,多数旱稻品种的苗期抗旱性与穗期抗旱性鉴定结果相同,其中沪旱3号、沪旱15号苗期、穗期抗旱性表现最好,为高抗;BLUE BELLE、IAT109苗期抗旱级别为5级而穗期为7级,说明这2个品种后期抗旱较前期要差;IR55423-01的苗期抗旱级别为7级而穗期为5级,说明该品种后期抗旱性较强。
5)  long-term forecast
长期预测
1.
A long-term forecast method of timber growth ring density based on process neural network was proposed in this paper.
提出一种基于过程神经网络的木材生长轮密度长期预测方法。
6)  work period prediction
工期预测
1.
The result shows such a model can meet the requirements of work period prediction.
实例表明 ,该模型可满足探井工期预测的要
补充资料:历期预测法(见发生期预测)


历期预测法(见发生期预测)


  历期预测法见发生期预测。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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