首页> 外文期刊>Indian Phytopathology >Forecasting paddy bunt disease of rice in Punjab - an agrometeorological approach.
【24h】

Forecasting paddy bunt disease of rice in Punjab - an agrometeorological approach.

机译:预报旁遮普邦的水稻稻瘟病-一种农业气象方法。

获取原文
获取原文并翻译 | 示例
       

摘要

The correlation between meteorological elements and Kernel smut (Tilletia barclayana) of rice has been obtained based on the data for 14 years (1991-2004). The relationship of meteorological parameters with paddy bunt severity was studied from 27th to 35th standard meteorological week as this period corresponds to the panicle emergence stage and subsequent growth stages conducive for disease development. The important meteorological elements were identified for two different stations i.e.Ludhiana and Bathinda representing two distinct agroclimatic regions in Punjab. The meteorological parameters showing high coefficient of correlation were included in multiregression model developed for forecasting this disease. The detailed analysis of historical data shows that for Ludhiana station, the maximum temperature and sunshine hours for 33rd standard meteorological week were positively related while rainfall and no. of rainy days are negatively related for the same period with the disease intensity. Similar trend has been observed for Bathinda station located in the western region of the state. However, in Bathinda district the disease occurrence showed high relationship with the meteorological parameters for 31st week, which may be justified because of early sowing and early anthesis of the crop.
机译:根据14年(1991年至2004年)的数据,已获得了气象要素与水稻籽粒黑穗病之间的相关性( Tilletia barclayana )。在第27至第35个标准气象周研究了气象参数与稻pad严重程度之间的关系,因为该时期对应于有利于疾病发展的穗出苗期和随后的生长期。确定了两个不同站点的重要气象要素,即Ludhiana和Bathinda代表了旁遮普邦两个不同的农业气候区。显示高相关系数的气象参数已包括在为预测该病而开发的多元回归模型中。对历史数据的详细分析表明,对于卢迪亚纳站,第33个标准气象周的最高气温和日照时数呈正相关,而降雨却没有。同一时期的阴雨天与疾病强度呈负相关。位于该州西部地区的Bathinda站也观察到了类似的趋势。然而,在巴辛达地区,该病的发生与第31周的气象参数高度相关,这可能是由于作物的早播和早花期是合理的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号