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1 Ergebnisse
1
Multiple liner regression analysis model of insect pests' i..:
Ararso Gognsha Desta
;
Berhanu Hiruy Yeshitila
doi:10.1371/journal.pone.0295833.t008. , 2024
Link:
https://doi.org/10.1371/journal.pone.0295833.t008
RT Journal T1
Multiple liner regression analysis model of insect pests' infestation level versus commonly used farmers grain protection practices and agro-climate
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_24992162&Exemplar=1&LAN=DE A1 Ararso Gognsha Desta A1 Berhanu Hiruy Yeshitila YR 2024 K1 Genetics K1 Biotechnology K1 Ecology K1 Sociology K1 Infectious Diseases K1 Plant Biology K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 tribolium confusum </ K1 tribolium castaneum </ K1 staple crop grown K1 sitotroga cereallella </ K1 sitophilus zeamais </ K1 sitophilus oryzae </ K1 rhyzopertha dominica </ K1 plodia interpunctella </ K1 cryptolestes pusillus </ K1 cryptolestes ferrugineus </ K1 month storage period K1 longer storage period K1 98 mean number K1 75 amean number K1 61 ± 1 K1 causing considerable loss K1 50 ± 0 K1 36 ± 0 K1 bamboo bin storage K1 pests ' abundance K1 kena district using K1 div >< p K1 44 ± 2 K1 storage insect pests K1 protecting stored sorghum K1 kena district K1 insect pests K1 november 1 K1 bamboo bins K1 weight loss K1 stored sorghum K1 sorghum stored K1 associated loss K1 barn storage K1 pests identified K1 total number K1 weight method K1 pest infestation K1 one kg K1 nested design K1 management measures JF doi:10.1371/journal.pone.0295833.t008 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0295833.t008 DO https://doi.org/10.1371/journal.pone.0295833.t008 SF ELIB - SuUB Bremen
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