{"title":"Adaptations in Wild Radish (Raphanus raphanistrum) flowering time. Part 2: Harvest Weed Seed Control shortens flowering by 12 days","authors":"G. J. Somerville, Mike Ashworth","doi":"10.1017/wsc.2024.4","DOIUrl":null,"url":null,"abstract":"\n Harvest weed seed control (HWSC) is an effective technique for managing wild radish (Raphanus raphanistrum L.), a weed which retains its seed until harvest. However, earlier flowering time (leading to increased seed shedding before harvest) is a risk to HWSC effectiveness. This study investigated the effects of repeated HWSC on the evolution of R. raphanistrum flowering dates, using two methods: an adaptation of the SOMER model that included flowering genes (called SOMEF); and a mathematical calculation of the endpoints of flowering date evolution utilising the relevant life-history equations.\n In weed management systems with highly effective herbicides, the additional use of HWSC predicted R. raphanistrum population extinction. Low weed numbers and rapid extinction meant that any gradual evolution in days to first flower (DFF) was insufficient to lead to HWSC evasion. In alternative management systems with less vigorous herbicide control and using HWSC, modelling predicted a maximum 2-3 day reduction in DFF. In contrast, mathematic calculations of the phenotypes maximising seeds returned to the seedbank predicted an endpoint to evolution of 12 days earlier flowering, which matched field observations. However, genetic change postulated by the mathematical calculations was not hampered by a restriction to changing DFF allele frequencies. Unknown accompanying genetic changes could affect germination dates, or flowering triggers.\n Simulation modelling that included only flowering genes failed to predict the magnitude of an observed 12-day reduction in DFF. Differences between the 12 days observed in the field (and predicted using mathematical calculations) and the modest changes demonstrated in this field-based modelling study are postulated to be due to unaccounted evolutionary changes in R. raphanistrum.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"62 22","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1017/wsc.2024.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 1
Abstract
Harvest weed seed control (HWSC) is an effective technique for managing wild radish (Raphanus raphanistrum L.), a weed which retains its seed until harvest. However, earlier flowering time (leading to increased seed shedding before harvest) is a risk to HWSC effectiveness. This study investigated the effects of repeated HWSC on the evolution of R. raphanistrum flowering dates, using two methods: an adaptation of the SOMER model that included flowering genes (called SOMEF); and a mathematical calculation of the endpoints of flowering date evolution utilising the relevant life-history equations.
In weed management systems with highly effective herbicides, the additional use of HWSC predicted R. raphanistrum population extinction. Low weed numbers and rapid extinction meant that any gradual evolution in days to first flower (DFF) was insufficient to lead to HWSC evasion. In alternative management systems with less vigorous herbicide control and using HWSC, modelling predicted a maximum 2-3 day reduction in DFF. In contrast, mathematic calculations of the phenotypes maximising seeds returned to the seedbank predicted an endpoint to evolution of 12 days earlier flowering, which matched field observations. However, genetic change postulated by the mathematical calculations was not hampered by a restriction to changing DFF allele frequencies. Unknown accompanying genetic changes could affect germination dates, or flowering triggers.
Simulation modelling that included only flowering genes failed to predict the magnitude of an observed 12-day reduction in DFF. Differences between the 12 days observed in the field (and predicted using mathematical calculations) and the modest changes demonstrated in this field-based modelling study are postulated to be due to unaccounted evolutionary changes in R. raphanistrum.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.