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      Genetic Diversity and Physiological Performance of Portuguese Wild Beet ( Beta vulgaris spp. maritima) from Three Contrasting Habitats

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          Abstract

          The establishment of stress resilient sugar beets ( Beta vulgaris spp. vulgaris) is an important breeding goal since this cash crop is susceptible to drought and salinity. The genetic diversity in cultivated sugar beets is low and the beet wild relatives are useful genetic resources for tolerance traits. Three wild beet populations ( Beta vulgaris spp. maritima) from contrasting environments, Vaiamonte (VMT, dry inland hill), Comporta (CMP, marsh) and Oeiras (OEI, coastland), and one commercial sugar beet (Isella variety, SB), are compared. At the genetic level, the use of six microsatellite allowed to detect a total of seventy six alleles. It was observed that CMP population has the highest value concerning the effective number of alleles and of expected heterozygosity. By contrast, sugar beet has the lowest values for all the parameters considered. Loci analysis with STRUCTURE allows defining three genetic clusters, the sea beet (OEI and CMP), the inland ruderal beet (VMT) and the sugar beet (SB). A screening test for progressive drought and salinity effects demonstrated that: all populations were able to recover from severe stress; drought impact was higher than that from salinity; the impact on biomass (total, shoot, root) was population specific. The distinct strategies were also visible at physiological level. We evaluated the physiological responses of the populations under drought and salt stress, namely at initial stress stages, late stress stages, and early stress recovery. Multivariate analysis showed that the physiological performance can be used to discriminate between genotypes, with a strong contribution of leaf temperature and leaf osmotic adjustment. However, the separation achieved and the groups formed are dependent on the stress type, stress intensity and duration. Each of the wild beet populations evaluated is very rich in genetic terms (allelic richness) and exhibited physiological plasticity, i.e., the capacity to physiologically adjust to changing environments. These characteristics emphasize the importance of the wild beet ecotypes for beet improvement programs. Two striking ecotypes are VMT, which is the best to cope with drought and salinity, and CMP which has the highest root to shoot ratio. These genotypes can supply breeding programs with distinct goals.

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          Can improvement in photosynthesis increase crop yields?

          The yield potential (Yp) of a grain crop is the seed mass per unit ground area obtained under optimum growing conditions without weeds, pests and diseases. It is determined by the product of the available light energy and by the genetically determined properties: efficiency of light capture (epsilon i), the efficiency of conversion of the intercepted light into biomass (epsilon c) and the proportion of biomass partitioned into grain (eta). Plant breeding brings eta7 and epsilon i close to their theoretical maxima, leaving epsilon c, primarily determined by photosynthesis, as the only remaining major prospect for improving Yp. Leaf photosynthetic rate, however, is poorly correlated with yield when different genotypes of a crop species are compared. This led to the viewpoint that improvement of leaf photosynthesis has little value for improving Yp. By contrast, the many recent experiments that compare the growth of a genotype in current and future projected elevated [CO2] environments show that increase in leaf photosynthesis is closely associated with similar increases in yield. Are there opportunities to achieve similar increases by genetic manipulation? Six potential routes of increasing epsilon c by improving photosynthetic efficiency were explored, ranging from altered canopy architecture to improved regeneration of the acceptor molecule for CO2. Collectively, these changes could improve epsilon c and, therefore, Y p by c. 50%. Because some changes could be achieved by transgenic technology, the time of the development of commercial cultivars could be considerably less than by conventional breeding and potentially, within 10-15 years.
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            Interactive Multivariate Data Analysis inRwith theade4andade4TkGUIPackages

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              Osmotic adjustment in chickpea (Cicer arietinum L.) results in no yield benefit under terminal drought.

              Variation in osmotic adjustment (OA) among chickpea (Cicer arietinum L.) cultivars has been observed when exposed to terminal drought, but some studies suggest that this benefits yield while others suggest it does not benefit yield in water-limited environments. In the present study, parents differing in OA were crossed and a set of advanced breeding lines (ABLs) developed for yield testing. The variation in OA during podding was measured under terminal drought in the F(2), F(3), F(7), and F(8) progeny and in the parents by either rehydrating the leaves before sampling for osmotic potential (OP) or by measuring the relative water content (RWC) and OP on adjacent leaves for the calculation of the OP at full turgor. Yields were measured in the F(8) progeny under terminal drought in Australia and India. While differences in OA were measured in the chickpea lines and parents, OA varied from year to year and did not consistently benefit yield when measured in the field under terminal drought. In Australia, differences in OA were not associated with any yield benefit in any year, while in India early flowering resulted in higher yields at three of the four sites, and OA had an inconsistent effect on seed yields. A comparison of OP at full turgor measured after rehydration and from measurements of RWC and OP showed that the rehydration technique underestimated OA. The lack of contribution of OA to yield of chickpea is discussed.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                31 August 2016
                2016
                : 7
                : 1293
                Affiliations
                [1] 1Instituto de Tecnologia Química e Biológica, Universidade NOVA de Lisboa Oeiras, Portugal
                [2] 2Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa Caparica, Portugal
                [3] 3Computational Biology and Population Genomics Group, Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências da Universidade de Lisboa Lisboa, Portugal
                [4] 4INIAV, Unidade de Investigação de Biotecnologia e Recursos Genéticos Oeiras, Portugal
                [5] 5Instituto Superior de Agronomia, Linking Landscape, Environment, Agriculture and Food, Universidade de Lisboa Lisboa, Portugal
                [6] 6INIAV, Unidade de Investigação de Sistemas Agrários e Florestais e Sanidade Vegetal Oeiras, Portugal
                Author notes

                Edited by: Vasileios Fotopoulos, Cyprus University of Technology, Cyprus

                Reviewed by: Carl-Otto Ottosen, Aarhus University, Denmark; J. Mitchell McGrath, United States Department of Agriculture – Agricultural Research Service, USA

                *Correspondence: Carla Pinheiro, pinheiro@ 123456itqb.unl.pt

                This article was submitted to Crop Science and Horticulture, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2016.01293
                5006101
                27630646
                611ee123-3db3-49cc-b727-d6167ee571cd
                Copyright © 2016 Ribeiro, Pinheiro, Ribeiro, Veloso, Simões-Costa, Evaristo, Paulo and Ricardo.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 April 2016
                : 12 August 2016
                Page count
                Figures: 5, Tables: 3, Equations: 0, References: 57, Pages: 14, Words: 0
                Funding
                Funded by: Fundação para a Ciência e a Tecnologia 10.13039/501100001871
                Award ID: PTDC/AGR-AAM/73144/2006 and PEst-OE/EQB/LA0004/2011
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                physiological characterization,population structure,biomass,crop wild relatives,allele richness

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