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      Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments

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          Abstract

          Key message

          Intensive public sector breeding efforts and public-private partnerships have led to the increase in genetic gains, and deployment of elite climate-resilient maize cultivars for the stress-prone environments in the tropics.

          Abstract

          Maize ( Zea mays L.) plays a critical role in ensuring food and nutritional security, and livelihoods of millions of resource-constrained smallholders. However, maize yields in the tropical rainfed environments are now increasingly vulnerable to various climate-induced stresses, especially drought, heat, waterlogging, salinity, cold, diseases, and insect pests, which often come in combinations to severely impact maize crops. The International Maize and Wheat Improvement Center (CIMMYT), in partnership with several public and private sector institutions, has been intensively engaged over the last four decades in breeding elite tropical maize germplasm with tolerance to key abiotic and biotic stresses, using an extensive managed stress screening network and on-farm testing system. This has led to the successful development and deployment of an array of elite stress-tolerant maize cultivars across sub-Saharan Africa, Asia, and Latin America. Further increasing genetic gains in the tropical maize breeding programs demands judicious integration of doubled haploidy, high-throughput and precise phenotyping, genomics-assisted breeding, breeding data management, and more effective decision support tools. Multi-institutional efforts, especially public–private alliances, are key to ensure that the improved maize varieties effectively reach the climate-vulnerable farming communities in the tropics, including accelerated replacement of old/obsolete varieties.

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          Most cited references152

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          Solutions for a cultivated planet.

          Increasing population and consumption are placing unprecedented demands on agriculture and natural resources. Today, approximately a billion people are chronically malnourished while our agricultural systems are concurrently degrading land, water, biodiversity and climate on a global scale. To meet the world's future food security and sustainability needs, food production must grow substantially while, at the same time, agriculture's environmental footprint must shrink dramatically. Here we analyse solutions to this dilemma, showing that tremendous progress could be made by halting agricultural expansion, closing 'yield gaps' on underperforming lands, increasing cropping efficiency, shifting diets and reducing waste. Together, these strategies could double food production while greatly reducing the environmental impacts of agriculture.
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            Temperature increase reduces global yields of major crops in four independent estimates.

            Wheat, rice, maize, and soybean provide two-thirds of human caloric intake. Assessing the impact of global temperature increase on production of these crops is therefore critical to maintaining global food supply, but different studies have yielded different results. Here, we investigated the impacts of temperature on yields of the four crops by compiling extensive published results from four analytical methods: global grid-based and local point-based models, statistical regressions, and field-warming experiments. Results from the different methods consistently showed negative temperature impacts on crop yield at the global scale, generally underpinned by similar impacts at country and site scales. Without CO2 fertilization, effective adaptation, and genetic improvement, each degree-Celsius increase in global mean temperature would, on average, reduce global yields of wheat by 6.0%, rice by 3.2%, maize by 7.4%, and soybean by 3.1%. Results are highly heterogeneous across crops and geographical areas, with some positive impact estimates. Multimethod analyses improved the confidence in assessments of future climate impacts on global major crops and suggest crop- and region-specific adaptation strategies to ensure food security for an increasing world population.
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              Prediction of total genetic value using genome-wide dense marker maps.

              Recent advances in molecular genetic techniques will make dense marker maps available and genotyping many individuals for these markers feasible. Here we attempted to estimate the effects of approximately 50,000 marker haplotypes simultaneously from a limited number of phenotypic records. A genome of 1000 cM was simulated with a marker spacing of 1 cM. The markers surrounding every 1-cM region were combined into marker haplotypes. Due to finite population size N(e) = 100, the marker haplotypes were in linkage disequilibrium with the QTL located between the markers. Using least squares, all haplotype effects could not be estimated simultaneously. When only the biggest effects were included, they were overestimated and the accuracy of predicting genetic values of the offspring of the recorded animals was only 0.32. Best linear unbiased prediction of haplotype effects assumed equal variances associated to each 1-cM chromosomal segment, which yielded an accuracy of 0.73, although this assumption was far from true. Bayesian methods that assumed a prior distribution of the variance associated with each chromosome segment increased this accuracy to 0.85, even when the prior was not correct. It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.
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                Author and article information

                Contributors
                b.m.prasanna@cgiar.org
                Journal
                Theor Appl Genet
                Theor Appl Genet
                TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0040-5752
                1432-2242
                16 February 2021
                16 February 2021
                : 1-24
                Affiliations
                [1 ]International Maize and Wheat Improvement Center (CIMMYT), ICRAF Campus, UN Avenue, Gigiri, P.O.Box 1041–00621, Nairobi, Kenya
                [2 ]CIMMYT, P.O. Box MP163, Harare, Zimbabwe
                [3 ]CIMMYT, ICRISAT Campus, Patancheru, Greater Hyderabad, Telangana India
                [4 ]CIMMYT, Kathmandu, Nepal
                [5 ]GRID grid.433436.5, ISNI 0000 0001 2289 885X, CIMMYT, ; El Batan, Texcoco, Mexico, DF Mexico
                Author notes

                Communicated by Peter Langridge.

                Author information
                http://orcid.org/0000-0002-5761-2273
                http://orcid.org/0000-0002-2735-3485
                http://orcid.org/0000-0002-3004-6072
                http://orcid.org/0000-0001-7221-2617
                http://orcid.org/0000-0002-1801-5986
                http://orcid.org/0000-0003-4434-6364
                http://orcid.org/0000-0003-3177-1791
                http://orcid.org/0000-0002-8120-5125
                http://orcid.org/0000-0002-8818-6238
                http://orcid.org/0000-0003-0049-8307
                http://orcid.org/0000-0003-3343-6663
                http://orcid.org/0000-0002-5407-8765
                http://orcid.org/0000-0002-2492-6751
                http://orcid.org/0000-0002-0220-0175
                http://orcid.org/0000-0002-8508-4316
                http://orcid.org/0000-0001-5348-4342
                http://orcid.org/0000-0003-1687-7897
                http://orcid.org/0000-0002-5988-3114
                http://orcid.org/0000-0001-8583-129X
                http://orcid.org/0000-0001-5498-6387
                Article
                3773
                10.1007/s00122-021-03773-7
                7885763
                33594449
                070e115f-43e6-4fc1-9430-435af69e3f9a
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 October 2020
                : 9 January 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: INV-003439
                Funded by: FundRef http://dx.doi.org/10.13039/100000200, United States Agency for International Development;
                Award ID: HTMA-II
                Award Recipient :
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                Genetics
                Genetics

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