Plant Disease Control through the use of Variety Mixtures

Newton, A. C.

doi:10.1002/9781444312157.ch8

Cited by 12 publications

(8 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cultivar mixtures have the potential to reduce disease progression, but results can be highly variable and an appropriate design is crucial to reach the expected disease level and yield performances. Extensive studies of a range of design criteria for mixtures have been performed, as reviewed by Newton (2009) and Barot et al (2017).…”

Section: Accepted Articlementioning

confidence: 99%

Cultivar mixture effects on disease and yield remain despite diversity in wheat height and earliness

et al. 2020

View full text Add to dashboard Cite

Cultivar mixtures can stabilize yield and reduce pathogen spread in plant populations. A field experiment was performed to determine whether (i) a large difference between the cultivars in the mixture (e.g. plant height or earliness) would have an impact on mixture performance and whether (ii) such differences would modify the classical rules for mixture design. Mixtures were constituted from cultivars with diversity for many traits, including plant height, flowering date, disease resistance and yield potential. The field experiment was conducted in three years testing each year 72 to 90 mixtures of two, four or eight cultivars, and their corresponding pure stands. Disease severity and yield of cultivar mixtures were strongly related to the mean values of the component cultivars in pure stands. Despite the considerable diversity of the mixtures tested, the classic rules (e.g. proportion of susceptible cultivars) already tested in mixtures with similar height and earliness were effective for decreasing disease severity. Agronomic heterogeneity for traits such as plant height, yield potential or earliness of the cultivars in mixtures did not have a negative impact on disease severity and yield relative to pure stands. Increasing the number of cultivars in the mixture from two to eight had no impact on the mean disease severity and yield of the mixtures, but reduced the variability of disease severity and yield in the mixture relative to pure stands. These results suggest that it may be possible to increase within-field wheat diversity by combining more contrasted cultivars in mixtures than was previously thought.

show abstract

Section: Accepted Articlementioning

confidence: 99%

Cultivar mixture effects on disease and yield remain despite diversity in wheat height and earliness

et al. 2020

View full text Add to dashboard Cite

show abstract

“…in Finckh et al 2000;Mundt 2002). Such programs have fostered optimism about the growth of mixtures in intensive agriculture, notably for wheat and barley, but data on the frequency of their use remain sparse (Finckh et al 2000;Mundt 2002;Newton 2009;Wolfe and Ceccarelli 2020).…”

Section: In Agriculturementioning

confidence: 99%

Genetic diversity and disease: The past, present, and future of an old idea

Gibson

2021

Evolution

View full text Add to dashboard Cite

Why do infectious diseases erupt in some host populations and not others? This question has spawned independent fields of research in evolution, ecology, public health, agriculture, and conservation. In the search for environmental and genetic factors that predict variation in parasitism, one hypothesis stands out for its generality and longevity: genetically homogeneous host populations are more likely to experience severe parasitism than genetically diverse populations. In this perspective piece, I draw on overlapping ideas from evolutionary biology, agriculture, and conservation to capture the far-reaching implications of the link between genetic diversity and disease. I first summarize the development of this hypothesis and the results of experimental tests. Given the convincing support for the protective effect of genetic diversity, I then address the following questions: (1) Where has this idea been put to use, in a basic and applied sense, and how can we better use genetic diversity to limit disease spread? (2) What new hypotheses does the established disease-diversity relationship compel us to test? I conclude that monitoring, preserving, and augmenting genetic diversity is one of our most promising evolutionarily informed strategies for buffering wild, domesticated, and human populations against future outbreaks.

show abstract

“…Promoting crop diversity in agricultural systems is a promising strategy to sustainably regulate epidemics ecologically and limit harvest and economic losses (Barot et al 2017). At the scale of a single eld, sowing mixtures of susceptible and resistant crop varieties (Finckh et al 2000;Mundt 2002;Newton 2009) or species (Mommer et al 2018) can reduce fungal epidemics up to 70-80% (Kolster et al 1989;Finckh et al 1999). At the landscape scale, crops arranged in a mosaic of resistant and susceptible elds side by side also hamper pathogen development (Burdon et al 2014;Papaïx et al 2014a, b;Rimbaud et al 2018b).…”

Section: Introductionmentioning

confidence: 99%

“…developed in the context of simpli ed intensive systems based on monocultures. Switching strategies to include crop mixtures and more diversi ed crop landscapes into agricultural systems thus faces multiple socio-economic and technical challenges(Newton 2009;Meynard et al 2018). Despite these challenges, the use of crop mixtures and cultivars has increased in France in recent years and the disease reduction they provide could be a contributing factor in their success(Vidal et al 2020).…”

mentioning

confidence: 99%

Crop mixtures outperform rotations and landscape mosaics in regulation of wheat pathogens: a simulation study

Précigout

Renard

Sanner

et al. 2022

Preprint

View full text Add to dashboard Cite

Context. Strategies of crop diversification such as crop rotations, within-field mixtures and landscape mosaics including susceptible and resistant crops can limit crop epidemics. Until now, the effects of these strategies have been studied separately, on single pathogen species, and with low environmental variability. Objectives. In this paper, we aim to compare the disease-limitation effect of these three crop diversification strategies on two highly damaging pathogens of wheat Puccinia recondita and Zymoseptoria tritici and under varying weather conditions.Methods. We built a dynamic mathematical model of epidemics at the field scale (based on classical Susceptible-Exposed-Infectious-Removed epidemiological models) embedded in a spatially explicit landscape grid framework. We use it to simulate an agricultural landscape in which diversification strategies translate into different proportions of wheat and resistant crops in the landscape.Results. In our simulations, for both pathogens and in all weather conditions, within-field crop mixtures had the greatest impact in limiting epidemics, crop rotations were second-best, while landscape mosaics were the least effective. We also found a threshold in the proportion of wheat in mixtures below which increase in the proportion of resistant plants does not lead to further disease limitation. However, a higher proportion of resistant crop was needed when the weather became favourable for the pathogens, suggesting that higher levels of diversification are needed to limit strong epidemics. Conclusions. Our findings imply that interactions between spatial the scale of crop diversification strategies, pathogen characteristics and weather conditions should be considered in order to maximize benefits from disease-regulation properties of diversified cropping systems under climate change.

show abstract

Plant Disease Control through the use of Variety Mixtures

Cited by 12 publications

References 35 publications

Cultivar mixture effects on disease and yield remain despite diversity in wheat height and earliness

Cultivar mixture effects on disease and yield remain despite diversity in wheat height and earliness

Genetic diversity and disease: The past, present, and future of an old idea

Crop mixtures outperform rotations and landscape mosaics in regulation of wheat pathogens: a simulation study

Contact Info

Product

Resources

About