A stepwise multiple regression model to predict <i>Fusarium</i> wilt in lentil-Reference-Cited by-同舟云学术

A stepwise multiple regression model to predict Fusarium wilt in lentil

Published:2022-07 Issue:4 Volume:29 Page:
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Meteorological Applications

Author:

Ali Yasir¹^ORCID,Qin Anzhen²^ORCID,Aatif Hafiz Muhammad¹,Ijaz Muhammad¹,Khan Azhar Abbas¹,Ahmad Salman³,Shahzad Umbreen¹,Yasin Muhammad⁴,Rahman Shafeeq Ur⁵⁶

Affiliation:

1. College of Agriculture, Bahauddin Zakariya University, Bahadur Sub‐Campus Layyah Punjab Pakistan

2. Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs Xinxiang China

3. Department of Plant Pathology University College of Agriculture, University of Sargodha‐Pakistan Sargodha Punjab Pakistan

4. Department of Entomology The Islamia University of Bahawalpur Bahawalpur Pakistan

5. School of Environment and Civil Engineering Dongguan University of Technology Dongguan Guangdong China

6. MOE Laboratory for Earth Surface Processes College of Urban and Environmental Sciences, Peking University Beijing China

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/met.2088

Reference53 articles.

1. Predictive modeling for chickpea blight (Ascochyta rabiei) occurrence in the semi‐arid zone using meteorological data from Faisalabad, Pakistan;Ahmad S.;Philippine Agricultural Scientist,2019

2. Surveillance and morphological characterization of Fusarium isolates associated with lentil wilt;Altaf R.;Pakistan Journal of Phytopathology,2014

3. Bedasa T.(2018)Distribution and management of Fusarium wilt(Fusarium oxysporum f. sp. lentis)of lentil(Lens culinaris Medikus)in Central Highlands of Ethiopia. Doctoral dissertation Haramaya University.

4. Regression Analysis by Example

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