An individual‐based model of seed‐ and rhizome‐propagated perennial plant species and sustainable management of <i>Sorghum halepense</i> in soybean production systems in Argentina

Chun, Liu; Scursoni, Julio A.; Moreno, Raúl; Zelaya, Ian A.; Muñoz, María Sol; Kaundun, Shiv Shankhar

doi:10.1002/ece3.5578

Cited by 8 publications

(21 citation statements)

References 39 publications

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“…The cut pieces of rhizomes can regenerate into individual plants, thus contributing to their spread. Liu et al (2019) developed an individualbased model of johnsongrass that incorporated seed and rhizome propagation and revealed the important role of rhizome production in driving population dynamics.…”

Section: Johnsongrass Reproductive Biologymentioning

confidence: 99%

Transfer of resistance alleles from herbicide-resistant to susceptible grass weeds via pollen-mediated gene flow

et al. 2021

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The objective of this paper was to review the reproductive biology, herbicide-resistant (HR) biotypes, pollen-mediated gene flow (PMGF), and potential for transfer of alleles from HR to susceptible grass weeds including barnyardgrass, creeping bentgrass, Italian ryegrass, johnsongrass, rigid (annual) ryegrass, and wild oats. The widespread occurrence of HR grass weeds is at least partly due to PMGF, particularly in obligate outcrossing species such as rigid ryegrass. Creeping bentgrass, a wind-pollinated turfgrass species, can efficiently disseminate herbicide resistance alleles via PMGF and movement of seeds and stolons. The genus Agrostis contains about 200 species, many of which are sexually compatible and produce naturally occurring hybrids as well as producing hybrids with species in the genus Polypogon. The self-incompatibility, extremely high outcrossing rate, and wind pollination in Italian ryegrass clearly point to PMGF as a major mechanism by which herbicide resistance alleles can spread across agricultural landscapes, resulting in abundant genetic variation within populations and low genetic differentiation among populations. Italian ryegrass can readily hybridize with perennial ryegrass and rigid ryegrass due to their similarity in chromosome numbers (2n=14), resulting in interspecific gene exchange. Johnsongrass, barnyardgrass, and wild oats are self-pollinated species, so the potential for PMGF is relatively low and limited to short distances; however, seeds can easily shatter upon maturity before crop harvest, leading to wider dispersal. The occurrence of PMGF in reviewed grass weed species, even at a low rate is greater than that of spontaneous mutations conferring herbicide resistance in weeds and thus can contribute to the spread of herbicide resistance alleles. This review indicates that the transfer of herbicide resistance alleles occurs under field conditions at varying levels depending on the grass weed species.

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Section: Johnsongrass Reproductive Biologymentioning

confidence: 99%

Transfer of resistance alleles from herbicide-resistant to susceptible grass weeds via pollen-mediated gene flow

et al. 2021

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“…We have also constructed a second generalised IBM to represent the life cycle of perennial weed species characterised by both sexual and asexual reproductive systems 63 . The model was applied to investigate growing resistance to glyphosate (quantitative trait) and ACCase‐inhibiting herbicides (single‐gene mutation) in Sorghum halepense from soybean production systems in Argentina.…”

Section: Simulation Models For Predicting the Evolution Of Herbicide mentioning

confidence: 99%

“…62 We have also constructed a second generalised IBM to represent the life cycle of perennial weed species characterised by both sexual and asexual reproductive systems. 63 The model was applied to investigate growing resistance to glyphosate (quantitative trait) and ACCase-inhibiting herbicides (single-gene mutation) in Sorghum halepense from soybean production systems in Argentina. Simulation results indicate that resistance endowed by single-gene mutations was mainly influenced by the initial level of resistant alleles and the associated pleotropic effects.…”

Section: Simulation Models For Predicting the Evolution Of Herbicide mentioning

confidence: 99%

“…A significant proportion of our research and resistance detection methods are shared via peer‐reviewed scientific publications as well as presentations at academic conferences and farmer/advisor meetings. In the last year alone, we have contributed to several papers on simulation modelling and the mechanism of glyphosate resistance in A. palmeri and A. quitensis from soybean fields in Argentina 62,63,88,89 . We have published two additional papers on the novel Polymerase Chain Reaction‐Restriction Fragment Length Polymorphism (PCR‐RFLP)‐based derived polymorphic amplified cleaved sequence (dPACS) method and a corresponding dPACS 1.0 web‐based freeware (http://opendata.syngenta.agroknow.com/models/dpacs) for selecting restriction enzymes that differentiate wild‐type from mutant alleles 90,91 .…”

Section: Training External Collaborations and Scientific Publicationsmentioning

confidence: 99%

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Syngenta's contribution to herbicide resistance research and management

Kaundun

2020

Pest Management Science

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The evolution of weed resistance to herbicides is an ever‐increasing problem that affects crop yield and food production. In Syngenta, we believe that this difficult and complex issue can be most efficiently addressed through a deep understanding of the evolutionary dynamics and mechanism of resistance. A profound knowledge of resistance is key to developing the next generation of resistance‐breaking compounds with existing or novel herbicide sites of action. We use a multidisciplinary laboratory‐based, glasshouse and field biology approach to study herbicide resistance and provide strong science‐based solutions to delay the onset and manage resistance. We have developed and implemented simple early‐season resistance detection methods to allow farmers make an informed decision for effective weed control. We have built mechanistic, individual‐based computer models to design profitable, long‐term sustainable weed management programs. Our zero tolerance approaches employ herbicides with different sites of action, applied in mixtures and sequences, to minimise the risk of resistance evolution. Weeds are targeted at the right growth stage with optimal herbicide formulation and spray technology for maximising weed control and depleting the seed bank. We are promoting the use of competitive crop varieties and other nonchemical methods for an integrated weed management strategy. We have a global web of external collaborations for studying and managing herbicide resistance. We are committed to farmers' education and training on herbicide resistance, and regularly share our methods and findings via conferences and peer‐reviewed scientific publications for the benefit of the wider weed science community and field practitioners. © 2020 Society of Chemical Industry

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“…Models and/or decision support tools dedicated to perennial weeds are scarce. They focus only on non-chemical cropping practices (Favrelière et al, 2016), and on chemical efficiency (Liu et al, 2019), but do not consider the interaction of cropping practices with pedoclimate and field environment. In addition, they are not designed to assess cropping systems or to be used as an educational tool to design innovative cropping systems.…”

Section: Introductionmentioning

confidence: 99%

IPSIM-Cirsium, a Qualitative Expert-Based Model to Predict Infestations of Cirsium arvense

et al. 2021

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Throughout Europe, Cirsium arvense is the most problematic perennial weed in arable crops, whether managed under organic or conventional agriculture. Non-chemical control methods are limited with partial efficacy. Knowledge is missing on their effect across a wide gradient of cropping systems and pedoclimates. To achieve effective Cirsium arvense management ensuring crop productivity while limiting the reliance of cropping systems on herbicide, expert-based models are needed to gather knowledge on the effect of individual levers and their interactions in order to (i) design and assess finely tuned combinations of farming practices in different pedoclimates and (ii) support decisions for Cirsium arvense control. Based on expert-knowledge and literature, we developed IPSIM-Cirsium, a hierarchical qualitative model which evaluates the infestation of Cirsium arvense as a function of farming practices, climate conditions, soil descriptors and their interactions. IPSIM-Cirsium is a multi-attribute model considering all possibilities of interactions between factors, it estimates the infestation rate of the field graded according to a four-level scale. The model outputs were confronted to independent field observations collected across 6 fields, over a 16-year period in 3 sites. IPSIM-Cirsium showed a satisfactory predictive quality (accuracy of 78.2%). IPSIM-Cirsium can be used as a tool for crop advisors and researchers to assist the design of systems less reliant on herbicides, for farmers and advisers to assess ex-ante prototypes of cropping systems, and for teachers as an educational tool to share agroecological weed management knowledge.

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An individual‐based model of seed‐ and rhizome‐propagated perennial plant species and sustainable management of Sorghum halepense in soybean production systems in Argentina

Cited by 8 publications

References 39 publications

Transfer of resistance alleles from herbicide-resistant to susceptible grass weeds via pollen-mediated gene flow

Transfer of resistance alleles from herbicide-resistant to susceptible grass weeds via pollen-mediated gene flow

Syngenta's contribution to herbicide resistance research and management

IPSIM-Cirsium, a Qualitative Expert-Based Model to Predict Infestations of Cirsium arvense

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