Yield, yield stability and farmers’ preferences of evolutionary populations of bread wheat: A dynamic solution to climate change

Bocci, Riccardo; Bussi, Bettina; Petitti, Matteo; Franciolini, Riccardo; Altavilla, Virginia; Galluzzi, Gea; Luzio, Paolo Di; Migliorini, Paola; Spagnolo, Sandra; Floriddia, Rosario; Rosi, Giuseppe Li; Petacciato, Modesto; Battezzato, Vincenzo; Albino, Andrea; Faggio, Giovanni; Arcostanzo, Carlo; Ceccarelli, Salvatore

doi:10.1016/j.eja.2020.126156

Cited by 34 publications

(59 citation statements)

References 66 publications

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“…(1967) and Soliman and Allard (1991) , and more recently by Raggi et al. (2017) and Bocci et al. (2020) .…”

Section: The Science Of Evolutionary Populations and Mixturesmentioning

confidence: 99%

“…This was done within the framework of one of the EU projects, which started in 2014, by comparing the two populations together with other genetic materials in four contrasting locations, including the two original farms, during four cropping seasons (from 2014/2015 till 2017/2018). The experiment showed that the EP became specifically adapted to the region where they were cultivated in which they also exhibited a high temporal stability ( Bocci et al., 2020 ). One example of divergent evolution is shown in Figure 4 where on the left are two hectares of the same original population after 10 years of evolution in Sicily (south Italy) and on the right the same population after 10 years of evolution in Tuscany (Central Italy).…”

Section: The Use Of Evolutionary Populations and Mixturesmentioning

confidence: 99%

“…One example of divergent evolution is shown in Figure 4 where on the left are two hectares of the same original population after 10 years of evolution in Sicily (south Italy) and on the right the same population after 10 years of evolution in Tuscany (Central Italy). A 4-year experiment showed that the same original EP grown continuously in different locations evolved into locally adapted populations with significant differences in important quantitative traits such as grain yield and plant height ( Bocci et al., 2020 ).

Figure 4 Divergent Evolution of a Bread Wheat Evolutionary Population after Ten Years of Cultivation in Two Contrasting Locations The ICARDA evolutionary bread wheat population after 10 years evolution in Sicily (left) and the same population after 10 years evolution in Tuscany (right) grown side by side in March 2020 (courtesy of Pierluigi Valenti).…”

Section: The Use Of Evolutionary Populations and Mixturesmentioning

confidence: 99%

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Evolutionary Plant Breeding as a Response to the Complexity of Climate Change

Ceccarelli

Grando

2020

iScience

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Summary Climate change is one of the processes that have already overstepped the safe planetary boundaries, together with the rate of biodiversity loss and human interference with the nitrogen and phosphorus cycles. The three processes are related to agriculture and, as such, to both food safety and food security, and ultimately to human health. Adaptation to climate change is a difficult breeding objective because of its complexity, its unpredictability, and its location specificity. However, one strategy exists, which is based on a more dynamic use of agrobiodiversity in agriculture through the cultivation of evolutionary populations. In this review, we show how the translation into agricultural practice of nearly 100 years of research on evolutionary populations and mixtures is able to address the complexity of climate change while stabilizing yield, decreasing the use of most agrochemicals, thus reducing emissions and producing healthy food.

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“…(1967) and Soliman and Allard (1991) , and more recently by Raggi et al. (2017) and Bocci et al. (2020) .…”

Section: The Science Of Evolutionary Populations and Mixturesmentioning

confidence: 99%

Section: The Use Of Evolutionary Populations and Mixturesmentioning

confidence: 99%

Section: The Use Of Evolutionary Populations and Mixturesmentioning

confidence: 99%

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Evolutionary Plant Breeding as a Response to the Complexity of Climate Change

Ceccarelli

Grando

2020

iScience

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“…Climate change indicators are actually based on a sum of mitigation and adaptation strategies cited by the involved actors to which a score was assigned. Above all, stakeholders considered very relevant the use of wheat cultivar mixtures or heterogeneous populations, able to evolve and adapt over time thanks to the natural selection of the environment (evolutionary breeding) for facing the changing climatic conditions (Weedon and Finckh, 2019;Bocci et al, 2020). These simple indicators could be changed in the future with complementary basic attributes assessing greenhouse gases emissions from modelling approach.…”

Section: Strengths and Weakness Of The Hierarchical Structure And Its Attributesmentioning

confidence: 99%

A multi-criteria qualitative tool for the sustainability assessment of organic durum wheat-based farming systems designed through a participative process

Iocola

Colombo

Guccione³

et al. 2021

Ital J Agronomy

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The agriculture sustainability assessment is a difficult issue for the coexistence of conflicting objectives and the multidimensionality of the performances. The environmental, economic and social pillars need to be simultaneously considered in an assessment to evaluate potential synergies and trade-offs of the agricultural processes within and among the attributes of the dimensions in both implemented systems (ex-post analysis) and potential options (ex-ante analysis). Among several sustainability assessment methods, tools based on multi-criteria analysis (MCA) are increasingly adopted in evaluating sustainability in agriculture. The aim of this work was to present the MCA tool developed in the framework of the BioDurum project for the sustainability assessment of organic farms located in southern Italy and characterised by durum wheat-based crop rotations. The tool was entirely designed through a participatory process and it was realised using the open-source DEXi software that have demonstrated to be particularly suitable for creating qualitative multi-criterial hierarchic models with the engage of stakeholders. The hierarchic structure of BioDurum_MCA tool was resulted composed by 64 indicators and 45 aggregated attributes articulated in three branches representing the agro-environment, economic, and social sustainability pillars. The articulated structure of the tool reflected the complexity and the sustainability issues and priorities expressed by the involved stakeholders. The tool was tested in four Italian organic farms presenting different agro-environmental and socio-economic patterns for their ex-post evaluations and in three different ex-ante production systems identified in compliance with the Italian regulation concerning the requirements of the rotations to be implemented in organic farming. The results highlighted the well discriminatory power of the tool. The best overall sustainability scores were reached in both ex-post and ex-ante analysis by the well diversified cereal farming systems with processed products sold through short supply chain mechanisms. BioDurum_MCA has proved to be a feasible tool to identify strengths and weaknesses of organic durum wheat-based production systems. Its adoption can support the definition of specific interventions for the sector in the Italian Strategic National Plan of the Common Agricultural Policy. Further improvements in the threshold classes of some indicators by using the tool in a wider number of Italian durum wheat based organic farms will increase model sensitivity and reliability of the results. Highlights - BioDurum_MCA is an effective tool for sustainability assessment of durum wheat organic Italian production systems. - Hierarchic structure of the tool reflects the sustainability issues and priorities expressed by involved stakeholders. - MCA tools can support a holistic evaluation of farm sustainability performances in the frame of post-2020 CAP.

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“…A considerable body of research, ranging from the seminal paper by Harlan and Martini (1929) to more recent work (Wolfe et al, 1992;Goldringer et al, 2006;Finckh and Wolfe, 2006;Döring et al, 2011;Raggi et al, 2017;Brumlop et al, 2017, Bocci et al, 2020 shows that EPs and mixtures are able to evolve, adapting their phenology, and increasing their disease resistance, yielding ability and yield stability. There is also considerable anecdotal evidence regarding the ability of EPs to control weeds, a major problem in organic agriculture.…”

Section: The Strategymentioning

confidence: 99%

Home / Archives / Vol. 1 No. 2 (2020): July - December / Review Organic agriculture and evolutionary populations to merge mitigation and adaptation strategies to fight climate change

Ceccarelli

2020

S. Sust.

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Organic agriculture mitigates the effects of climate change, is more sustainable than industrial agriculture, provides more nutritious and healthy food, and several ecosystem services. However, its potential to feed the world is largely unexplored, due to the limited number of breeding programs addressing the need of varieties specifically adapted to organic systems. Consequently, organic farmers often cannot find organically produced seed of suitable varieties. This paper presents a plant breeding scheme which combines the use of evolutionary population with decentralized and participatory selection, to serve a multitude of diverse target populations, from environments including those of organic agriculture.

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Yield, yield stability and farmers’ preferences of evolutionary populations of bread wheat: A dynamic solution to climate change

Cited by 34 publications

References 66 publications

Evolutionary Plant Breeding as a Response to the Complexity of Climate Change

Evolutionary Plant Breeding as a Response to the Complexity of Climate Change

A multi-criteria qualitative tool for the sustainability assessment of organic durum wheat-based farming systems designed through a participative process

Home / Archives / Vol. 1 No. 2 (2020): July - December / Review Organic agriculture and evolutionary populations to merge mitigation and adaptation strategies to fight climate change

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