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      Mapping Powdery Mildew ( Blumeria graminis f. sp. tritici) Resistance in Wild and Cultivated Tetraploid Wheats

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          Abstract

          Wheat is the most widely grown crop and represents the staple food for one third of the world’s population. Wheat is attacked by a large variety of pathogens and the use of resistant cultivars is an effective and environmentally safe strategy for controlling diseases and eliminating the use of fungicides. In this study, a collection of wild and cultivated tetraploid wheats ( Triticum turgidum) were evaluated for seedling resistance (SR) and adult plant resistance (APR) to powdery mildew ( Blumeria graminis) and genotyped with a 90K single nucleotide polymorphism (SNP) array to identify new sources of resistance genes. The genome-wide association mapping detected 18 quantitative trait loci (QTL) for APR and 8 QTL for SR, four of which were identical or at least closely linked to four QTL for APR. Thirteen candidate genes, containing nucleotide binding sites and leucine-rich repeats, were localized in the confidence intervals of the QTL-tagging SNPs. The marker IWB6155, associated to QPm.mgb-1AS, was located within the gene TRITD1Av1G004560 coding for a disease resistance protein. While most of the identified QTL were described previously, five QTL for APR (QPm.mgb-1AS, QPm.mgb-2BS, QPm.mgb-3BL.1, QPm.mgb-4BL, QPm.mgb-7BS.1) and three QTL for SR ( QPm.mgb-3BL.3, QPm.mgb-5AL.2, QPm.mgb-7BS.2) were mapped on chromosome regions where no resistance gene was reported before. The novel QTL/genes can contribute to enriching the resistance sources available to breeders.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Global food demand and the sustainable intensification of agriculture.

            Global food demand is increasing rapidly, as are the environmental impacts of agricultural expansion. Here, we project global demand for crop production in 2050 and evaluate the environmental impacts of alternative ways that this demand might be met. We find that per capita demand for crops, when measured as caloric or protein content of all crops combined, has been a similarly increasing function of per capita real income since 1960. This relationship forecasts a 100-110% increase in global crop demand from 2005 to 2050. Quantitative assessments show that the environmental impacts of meeting this demand depend on how global agriculture expands. If current trends of greater agricultural intensification in richer nations and greater land clearing (extensification) in poorer nations were to continue, ~1 billion ha of land would be cleared globally by 2050, with CO(2)-C equivalent greenhouse gas emissions reaching ~3 Gt y(-1) and N use ~250 Mt y(-1) by then. In contrast, if 2050 crop demand was met by moderate intensification focused on existing croplands of underyielding nations, adaptation and transfer of high-yielding technologies to these croplands, and global technological improvements, our analyses forecast land clearing of only ~0.2 billion ha, greenhouse gas emissions of ~1 Gt y(-1), and global N use of ~225 Mt y(-1). Efficient management practices could substantially lower nitrogen use. Attainment of high yields on existing croplands of underyielding nations is of great importance if global crop demand is to be met with minimal environmental impacts.
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              An analysis of variance test for normality (complete samples)

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                Author and article information

                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                24 October 2020
                November 2020
                : 21
                : 21
                : 7910
                Affiliations
                [1 ]Genetics and Plant Breeding Section, Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; luciana.piarulli@ 123456libero.it (L.P.); domenica.nigro@ 123456uniba.it (D.N.); massimoantonio.signorile@ 123456uniba.it (M.A.S.); antonio.blanco@ 123456uniba.it (A.B.)
                [2 ]Institute of Biosciences and Bioresources, National Research Council, Via Amendola 165/A, 70126 Bari, Italy; emanuela.blanco@ 123456ibbr.cnr.it (E.B.); giacomo.mangini@ 123456ibbr.cnr.it (G.M.)
                Author notes
                [* ]Correspondence: rosanna.simeone@ 123456uniba.it ; Tel.: +39-080-5442993
                Author information
                https://orcid.org/0000-0002-5583-1149
                https://orcid.org/0000-0002-7289-1143
                https://orcid.org/0000-0001-9541-7148
                https://orcid.org/0000-0002-6600-2178
                Article
                ijms-21-07910
                10.3390/ijms21217910
                7662567
                33114422
                9ea949b9-fbb0-4847-8b82-3242545383ee
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 05 October 2020
                : 20 October 2020
                Categories
                Article

                Molecular biology
                blumeria graminis,powdery mildew,wheat,disease resistance,association mapping,gwas
                Molecular biology
                blumeria graminis, powdery mildew, wheat, disease resistance, association mapping, gwas

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