Guy R. Y. Coleman, A. Bender, Michael Walsh, P. Neve
{"title":"Image‐based weed recognition and control: Can it select for crop mimicry?","authors":"Guy R. Y. Coleman, A. Bender, Michael Walsh, P. Neve","doi":"10.1111/wre.12566","DOIUrl":"https://doi.org/10.1111/wre.12566","url":null,"abstract":"","PeriodicalId":23661,"journal":{"name":"Weed Research","volume":"10 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91116985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emma H. Carlos, M. Weston, M. Gibson, Anthony R. Rendall
{"title":"Invasive African boneseed and a native shrub support similar faunal assemblages in a heavily infested landscape","authors":"Emma H. Carlos, M. Weston, M. Gibson, Anthony R. Rendall","doi":"10.1111/wre.12567","DOIUrl":"https://doi.org/10.1111/wre.12567","url":null,"abstract":"","PeriodicalId":23661,"journal":{"name":"Weed Research","volume":"2015 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87841339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Kolářová, T. R. Piskáčková, L. Tyšer, Thien T. Hoová
{"title":"Characterisation of Czech arable weed communities according to management and production area considering the prevalence of herbicide‐resistant species","authors":"M. Kolářová, T. R. Piskáčková, L. Tyšer, Thien T. Hoová","doi":"10.1111/wre.12565","DOIUrl":"https://doi.org/10.1111/wre.12565","url":null,"abstract":"","PeriodicalId":23661,"journal":{"name":"Weed Research","volume":"16 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85268902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md. Sultan Mia, Gaus Azam, Sina Nouraei, C. Borger
{"title":"Strategic tillage in Australian conservation agricultural systems to address soil constraints: How does it impact weed management?","authors":"Md. Sultan Mia, Gaus Azam, Sina Nouraei, C. Borger","doi":"10.1111/wre.12564","DOIUrl":"https://doi.org/10.1111/wre.12564","url":null,"abstract":"","PeriodicalId":23661,"journal":{"name":"Weed Research","volume":"411 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84880916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emily K. Kimathi, E. Abdel-Rahman, C. Lukhoba, A. Ndambi, B. Mudereri, S. Niassy, Henri E. Z. Tonnang, T. Landmann
Striga hermonthica (Del.) Benth is a parasitic weed that is damaging major cereal crops in sub-Saharan Africa (SSA). Although Striga is recognised as an agricultural scourge, there is limited information available indicating the extent of its growth and spread as impacted by the changing climate in Kenya. This study investigated the impact of current climate conditions and projected future (2050) climate change on the infestation of Striga hermonthica in the western Kenya region. Specifically, the study aimed to predict Striga hermonthica habitat suitability in five counties in the western Kenya region through using the maximum entropy (MaxEnt) model and bioclimatic, soil, topographic and land use, and land cover (LULC) variables. Striga hermonthica geolo-cations were collected and collated and ecological niche models were developed to determine the habitat suitability. The results showed that approximately 1767 km 2 (10% of the total study area) is currently highly suitable for Striga hermonthica occurrence. The future projections showed a range between 2106 km 2 (19% of the total study area) and 2712 km 2 (53% of the total study area) at the minimum carbon (RCP 2.6) and the maximum carbon emission scenarios (RCP 8.5) respectively. Elevation, annual precipitation, LULC, temperature seasonality and soil type were determined to be the most influential ecological predictor variables for Striga hermonthica establishment. The study revealed the importance of using climate, soil, topographic and LULC variables when evaluating agricultural production constraints such as Stri-ga 's prevalence. The methodology used in this study should be tested in other Striga affected areas.
{"title":"Ecological determinants and risk areas of\u0000 Striga hermonthica\u0000 infestation in western Kenya under changing climate","authors":"Emily K. Kimathi, E. Abdel-Rahman, C. Lukhoba, A. Ndambi, B. Mudereri, S. Niassy, Henri E. Z. Tonnang, T. Landmann","doi":"10.1111/wre.12563","DOIUrl":"https://doi.org/10.1111/wre.12563","url":null,"abstract":"Striga hermonthica (Del.) Benth is a parasitic weed that is damaging major cereal crops in sub-Saharan Africa (SSA). Although Striga is recognised as an agricultural scourge, there is limited information available indicating the extent of its growth and spread as impacted by the changing climate in Kenya. This study investigated the impact of current climate conditions and projected future (2050) climate change on the infestation of Striga hermonthica in the western Kenya region. Specifically, the study aimed to predict Striga hermonthica habitat suitability in five counties in the western Kenya region through using the maximum entropy (MaxEnt) model and bioclimatic, soil, topographic and land use, and land cover (LULC) variables. Striga hermonthica geolo-cations were collected and collated and ecological niche models were developed to determine the habitat suitability. The results showed that approximately 1767 km 2 (10% of the total study area) is currently highly suitable for Striga hermonthica occurrence. The future projections showed a range between 2106 km 2 (19% of the total study area) and 2712 km 2 (53% of the total study area) at the minimum carbon (RCP 2.6) and the maximum carbon emission scenarios (RCP 8.5) respectively. Elevation, annual precipitation, LULC, temperature seasonality and soil type were determined to be the most influential ecological predictor variables for Striga hermonthica establishment. The study revealed the importance of using climate, soil, topographic and LULC variables when evaluating agricultural production constraints such as Stri-ga 's prevalence. The methodology used in this study should be tested in other Striga affected areas.","PeriodicalId":23661,"journal":{"name":"Weed Research","volume":"15 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85310419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}