Evolutionary Breeding and Climate Change

Murphy, Kevin M.; Carter, Arron H.; Jones, Stephen S.

doi:10.1007/978-3-642-37045-8_9

Cited by 16 publications

(17 citation statements)

References 62 publications

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“…In the maize populations analyzed in the present study, not only natural selection but also human selection is affecting yield. In a review by Murphy, Carter, and Jones (), several examples of the effectiveness of evolutionary breeding (accounting only for natural selection) in improving the agronomic fitness of self‐pollinated cereal crops have been examined. With this breeding approach, improvement resulted from natural selection favoring high‐yielding genotypes as an outcome of the relationship between the yield capacity of an individual plant and its fitness components (Murphy et al., ).…”

Section: Discussionmentioning

confidence: 99%

“…In a review by Murphy, Carter, and Jones (), several examples of the effectiveness of evolutionary breeding (accounting only for natural selection) in improving the agronomic fitness of self‐pollinated cereal crops have been examined. With this breeding approach, improvement resulted from natural selection favoring high‐yielding genotypes as an outcome of the relationship between the yield capacity of an individual plant and its fitness components (Murphy et al., ). This yield increase is highly dependent on the selective environmental pressure and may affect maturity, plant height, and relationships among agronomic important traits unfavorably (Phillips & Wolfe, ).…”

Section: Discussionmentioning

confidence: 99%

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Long‐term on‐farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance

Alves

Belo

Carbas

et al. 2017

Evolutionary Applications

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Modern maize breeding programs gave rise to genetically uniform varieties that can affect maize's capacity to cope with increasing climate unpredictability. Maize populations, genetically more heterogeneous, can evolve and better adapt to a broader range of edaphic–climatic conditions. These populations usually suffer from low yields; it is therefore desirable to improve their agronomic performance while maintaining their valuable diversity levels. With this objective, a long‐term participatory breeding/on‐farm conservation program was established in Portugal. In this program, maize populations were subject to stratified mass selection. This work aimed to estimate the effect of on‐farm stratified mass selection on the agronomic performance, quality, and molecular diversity of two historical maize populations. Multilocation field trials, comparing the initial populations with the derived selection cycles, showed that this selection methodology led to agronomic improvement for one of the populations. The molecular diversity analysis, using microsatellites, revealed that overall genetic diversity in both populations was maintained throughout selection. The comparison of quality parameters between the initial populations and the derived selection cycles was made using kernel from a common‐garden experiment. This analysis showed that the majority of the quality traits evaluated progressed erratically over time. In conclusion, this breeding approach, through simple and low‐cost methodologies, proved to be an alternative strategy for genetic resources’ on‐farm conservation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Long‐term on‐farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance

Alves

Belo

Carbas

et al. 2017

Evolutionary Applications

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“…We also propose that MAGIC populations can also be used, mimicking the composite crosses evolutionary breeding strategy [ 120 , 121 ], to let natural selection act in highly diverse MAGIC populations—either after the final population has been obtained or during their development. Composite crosses that have been let evolve under cultivation conditions have proved valid ways to increase yields in cereals by exploiting adaptation to local environments [ 122 , 123 ].…”

Section: Future Prospectsmentioning

confidence: 99%

The Dawn of the Age of Multi-Parent MAGIC Populations in Plant Breeding: Novel Powerful Next-Generation Resources for Genetic Analysis and Selection of Recombinant Elite Material

Arrones

Vilanova

Plazas

et al. 2020

Biology

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The compelling need to increase global agricultural production requires new breeding approaches that facilitate exploiting the diversity available in the plant genetic resources. Multi-parent advanced generation inter-cross (MAGIC) populations are large sets of recombinant inbred lines (RILs) that are a genetic mosaic of multiple founder parents. MAGIC populations display emerging features over experimental bi-parental and germplasm populations in combining significant levels of genetic recombination, a lack of genetic structure, and high genetic and phenotypic diversity. The development of MAGIC populations can be performed using “funnel” or “diallel” cross-designs, which are of great relevance choosing appropriate parents and defining optimal population sizes. Significant advances in specific software development are facilitating the genetic analysis of the complex genetic constitutions of MAGIC populations. Despite the complexity and the resources required in their development, due to their potential and interest for breeding, the number of MAGIC populations available and under development is continuously growing, with 45 MAGIC populations in different crops being reported here. Though cereals are by far the crop group where more MAGIC populations have been developed, MAGIC populations have also started to become available in other crop groups. The results obtained so far demonstrate that MAGIC populations are a very powerful tool for the dissection of complex traits, as well as a resource for the selection of recombinant elite breeding material and cultivars. In addition, some new MAGIC approaches that can make significant contributions to breeding, such as the development of inter-specific MAGIC populations, the development of MAGIC-like populations in crops where pure lines are not available, and the establishment of strategies for the straightforward incorporation of MAGIC materials in breeding pipelines, have barely been explored. The evidence that is already available indicates that MAGIC populations will play a major role in the coming years in allowing for impressive gains in plant breeding for developing new generations of dramatically improved cultivars.

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“…Currently, this orientation more and more departs from the notion that there is a need to enhance productivity without harming the environment and taking care of sustainability of the agroecosystems (Rockström et al 2009 ; Struik and Kuyper 2014 ). The acknowledgment of potential ecological risks leads to the need to manage risks through both external inputs and intrinsic solutions, such as enhancing ecological robustness and buffering capacity of cultivars (Murphy et al 2014 ). Relatively recent breeding research is being developed to also include long-term goals, such as contributions to the maintenance or restoration of ecosystem services as targets in breeding programs.…”

Section: Diverse Orientations In Plant Breeding and The Seed Sectormentioning

confidence: 99%

Towards resilience through systems-based plant breeding. A review

Bueren

Struik

Eekeren

et al. 2018

Agron. Sustain. Dev.

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How the growing world population can feed itself is a crucial, multi-dimensional problem that goes beyond sustainable development. Crop production will be affected by many changes in its climatic, agronomic, economic, and societal contexts. Therefore, breeders are challenged to produce cultivars that strengthen both ecological and societal resilience by striving for six international sustainability targets: food security, safety and quality; food and seed sovereignty; social justice; agrobiodiversity; ecosystem services; and climate robustness. Against this background, we review the state of the art in plant breeding by distinguishing four paradigmatic orientations that currently co-exist: community-based breeding, ecosystem-based breeding, trait-based breeding, and corporate-based breeding, analyzing differences among these orientations. Our main findings are: (1) all four orientations have significant value but none alone will achieve all six sustainability targets; (2) therefore, an overarching approach is needed: "systems-based breeding," an orientation with the potential to synergize the strengths of the ways of thinking in the current paradigmatic orientations; (3) achieving that requires specific knowledge development and integration, a multitude of suitable breeding strategies and tools, and entrepreneurship, but also a change in attitude based on corporate responsibility, circular economy and true-cost accounting, and fair and green policies. We conclude that systems-based breeding can create strong interactions between all system components. While seeds are part of the common good and the basis of agrobiodiversity, a diversity in breeding approaches, based on different entrepreneurial approaches, can also be considered part of the required agrobiodiversity. To enable systems-based breeding to play a major role in creating sustainable agriculture, a shared sense of urgency is needed to realize the required changes in breeding approaches, institutions, regulations and protocols. Based on this concept of systems-based breeding, there are opportunities for breeders to play an active role in the development of an ecologically and societally resilient, sustainable agriculture.

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Evolutionary Breeding and Climate Change

Cited by 16 publications

References 62 publications

Long‐term on‐farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance

Long‐term on‐farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance

The Dawn of the Age of Multi-Parent MAGIC Populations in Plant Breeding: Novel Powerful Next-Generation Resources for Genetic Analysis and Selection of Recombinant Elite Material

Towards resilience through systems-based plant breeding. A review

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