Academic literature on the topic 'Plant traits'
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Journal articles on the topic "Plant traits"
Sack, Lawren, and Thomas N. Buckley. "Trait Multi-Functionality in Plant Stress Response." Integrative and Comparative Biology 60, no. 1 (December 11, 2019): 98–112. http://dx.doi.org/10.1093/icb/icz152.
Full textThe Plant Ontology Consortium. "The Plant Ontology™Consortium and Plant Ontologies." Comparative and Functional Genomics 3, no. 2 (2002): 137–42. http://dx.doi.org/10.1002/cfg.154.
Full textSeastedt, Tim. "Traits of plant invaders." Nature 459, no. 7248 (June 2009): 783–84. http://dx.doi.org/10.1038/459783a.
Full textKraft, Nathan J. B., Oscar Godoy, and Jonathan M. Levine. "Plant functional traits and the multidimensional nature of species coexistence." Proceedings of the National Academy of Sciences 112, no. 3 (January 5, 2015): 797–802. http://dx.doi.org/10.1073/pnas.1413650112.
Full textSong, Xianliang, and Tianzhen Zhang. "Quantitative trait loci controlling plant architectural traits in cotton." Plant Science 177, no. 4 (October 2009): 317–23. http://dx.doi.org/10.1016/j.plantsci.2009.05.015.
Full textJiang, Feng, and Guangze Jin. "Functional traits influence plant survival depending on environmental contexts and life stages in an old-growth temperate forest." Journal of Plant Ecology 14, no. 5 (May 20, 2021): 981–94. http://dx.doi.org/10.1093/jpe/rtab049.
Full textPérez-Harguindeguy, N., S. Díaz, E. Garnier, S. Lavorel, H. Poorter, P. Jaureguiberry, M. S. Bret-Harte, et al. "New handbook for standardised measurement of plant functional traits worldwide." Australian Journal of Botany 61, no. 3 (2013): 167. http://dx.doi.org/10.1071/bt12225.
Full textMartin, Adam R., and Marney E. Isaac. "The leaf economics spectrum’s morning coffee: plant size-dependent changes in leaf traits and reproductive onset in a perennial tree crop." Annals of Botany 127, no. 4 (January 27, 2021): 483–93. http://dx.doi.org/10.1093/aob/mcaa199.
Full textChristoffersen, Bradley O., Manuel Gloor, Sophie Fauset, Nikolaos M. Fyllas, David R. Galbraith, Timothy R. Baker, Bart Kruijt, et al. "Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro)." Geoscientific Model Development 9, no. 11 (November 24, 2016): 4227–55. http://dx.doi.org/10.5194/gmd-9-4227-2016.
Full textPierce, Simon, Arianna Bottinelli, Ilaria Bassani, Roberta M. Ceriani, and Bruno E. L. Cerabolini. "How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?" Plant Ecology 215, no. 11 (August 10, 2014): 1351–59. http://dx.doi.org/10.1007/s11258-014-0392-1.
Full textDissertations / Theses on the topic "Plant traits"
Santini, Gonzalez Bianca Ariana. "Plant functional traits and vegetation strategies." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/12119/.
Full textLaxton, Emma. "Relationship between leaf traits, insect communities and resource availability." Thesis, Electronic version, 2005. http://hdl.handle.net/1959.14/483.
Full textBibliography: p. 178-203.
Introduction -- Study sites -- Leaf characteristics and resource availability -- Insect herbivory and resource availability -- Insect communities and resource availability -- Influence of resource availability on recovery from herbivory -- Conclusions.
This project used the resource availability hypothesis (Coley et al., 1985) as a framework for investigating the relationship between resource availability (as defined by soil nutrients), leaf traits, insect herbivore damage and insect community structure. According to the hypothesis, plants from low resource environments should be better-defended, have longer leaf lifespans and slower growth rates than plants from higher resource environments. Higher resource plant species are expected to suffer higher levels of herbivory and recover faster from herbivory than low resource plant species (Coley et al. 1985). A corollary to this hypothesis is that plants from higher resource sites should support greater densities of insect herbivores than low resource species. Comparisons between high and low resource sites were made in terms of: (i) leaf traits of mature and immature leaves; (ii) phenology of leaf maturation; (iii) herbivore damage in the field and laboratory; (iv) diversity and abundance of herbivorous insect fauna; and (v) ability to recover from herbivory.
Mode of access: World Wide Web.
243 p. ill., maps
Varga, S. (Sandra). "Significance of plant gender and mycorrhizal symbiosis in plant life history traits." Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514261398.
Full textEggers, Ben. "Identifying phenotypic traits critical for breeding winter malting barley adapted to Ohio and the genomic regions affecting those traits." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1607035449218475.
Full textScharfy, Deborah. "Exotic plant invasions : importance of functional traits for soil characteristics and plant-soil feedback /." [S.l.] : [s.n.], 2009. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=18308.
Full textLepers, Clotilde. "Pollinators : demanding partners : Investigating the interplay between plant-pollinator interactions and plant traits evolution." Thesis, Lille 1, 2015. http://www.theses.fr/2015LIL10188/document.
Full textThe mode of pollination is often neglected regarding the evolution of plant traits, although the reproduction of most flowering plants is based on their interactions with pollinators. This thesis aims at a better understanding of the interplay between animal-pollination and the evolution of plant traits. First, I will present a detailed review on the interplay between plant mating system and pollinator behavior, which highlights the impact of pollinators on the immediate ecological selfing rate and on its evolution. Second, I modeled the evolution of plant selfing rate when it affects both the demography of plants and pollinators and the investment of plants in pollination. This study provides new theoretical evidence that evolution towards selfing can lead to an evolutionary suicide in some conditions. Third, I will present a modeling analysis of the impact of animal-pollination for species that compulsorily rely on outcross pollination: entomophilous dioecious species. This study revealed that under pollinator-mediated selection, attractiveness of males and females should evolve in large populations that do not suffer from pollen limitation. This result suggests that dimorphism may not be a threat for dioecious populations. Finally, although the previous models integrated pollinators in a basic way, they highlighted strong interplays between pollinators, plant demography, and the evolution of plant traits. The last study of this thesis, aims at defining and quantifying the mechanisms underlying pollinator foraging behavior, and especially the impact of plants floral traits on pollen transfer. This would allow for a better modeling of plant-pollinators interactions
Zukswert, Jenna Michelle. "How well do plant functional traits and leaf-litter traits predict rates of litter decomposition?" Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57698.
Full textForestry, Faculty of
Graduate
Smitchger, Jamin A. "Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas." Thesis, Montana State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10607937.
Full textIn pea, lodging changes canopy structure, increases disease pressure, reduces yield, and reduces harvest efficiency. In order to discover the quantitative trait loci (QTLs) influencing lodging resistance and other important agronomic traits in pea, a recombinant inbred line (RIL) population was created from a relatively wide cross between the commercial variety Delta and an unnamed pea variety. The RIL population was grown for 6 site-years in Bozeman and Moccasin, MT, USA, and phenotypic data was collected for 22 quantitative morphological traits and seven categorical traits which were thought to be associated with lodging resistance. Genotypic data was derived from genotype by sequencing, microsattelite markers, and cleaved amplified sequence tagged sites.
QTL analysis identified a total of 135 putative QTLs for the 22 traits examined in the study. There were 12 specific regions where 115 QTLs co-located, indicating that as few as 12 genes may be responsible for multiple pleiotropic effects. Ten QTLs were found for lodging resistance. Due to the large amount of phenotypic data collected, the putative mechanism of lodging resistance was determined for each QTL. In nearly every case, lodging resistance was associated with reduced plant height, a change in tendril number, or increased stem strength. This conclusion was supported by mathematical modeling. Branch number, which determines the number of tendrils per plant, was also positively associated with lodging resistance during all site-years, indicating that increasing tendril number also increases lodging resistance.
Yield was controlled by eight QTLs. All QTLs for yield had pleiotropic effects on lodging resistance and yield per plant. Seed size was not correlated with yield, and a model was created which explained why no association between yield and seed size was found.
The pleiotropic effects and utility of the QTLs discovered in this study are discussed. The results of this study further refine the ideotype for pea, and can be used for marker assisted selection in this crop.
Nielsen, Kristin Norma Astrid Toftgaard. "Predicting competitive ability from plant traits: A comparative study of 63 terrestrial herbaceous plant species." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/10227.
Full textRead, Jonathan M. "The effect of plant traits and resource supply characteristics on plant competition : a mechanistic model." Thesis, University of Stirling, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244695.
Full textBooks on the topic "Plant traits"
Bernardo, Rex Novero. Breeding for quantitative traits in plants. 2nd ed. Woodbury, Minn: Stemma Press, 2010.
Find full textKumar, Manoj, Annamalai Muthusamy, Vivek Kumar, and Neera Bhalla-Sarin, eds. In vitro Plant Breeding towards Novel Agronomic Traits. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9824-8.
Full textservice), SpringerLink (Online, ed. Plant Biodiversity in Urbanized Areas: Plant Functional Traits in Space and Time, Plant Rarity and Phylogenetic Diversity. Wiesbaden: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2010.
Find full textservice), ScienceDirect (Online, ed. Computational methods for genetics of complex traits. London: Academic Press, 2010.
Find full textAl-Khayri, Jameel M., Shri Mohan Jain, and Dennis V. Johnson, eds. Advances in Plant Breeding Strategies: Agronomic, Abiotic and Biotic Stress Traits. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22518-0.
Full textFrom plant traits to vegetation structure: Chance and selection in the assembly of ecological communities. Cambridge: Cambridge University Press, 2010.
Find full textWales), New Phytologist Symposium (2nd 1997 University of. Putting plant physiology on the map: Genetic analysis of developmental and adaptive traits : proceedings of the second New Phytologist Symposium, University of Wales Bangor, April 1997. Cambridge: Published for the New Phytologist Trust by Cambridge University Press, 1997.
Find full textMcGuirk, Martin J. Realistic track plans for O gauge trains. Waukesha, WI: Kalmbach Books, 1997.
Find full textDewasne, Jean. Traité d'une peinture plane et autres récits. [Paris]: Minerve, 2007.
Find full textBook chapters on the topic "Plant traits"
Maiti, Ratikanta, Humberto Gonzalez-Rodriguez, and Theodore Karfakis. "Plant traits." In Autoecology and ecophysiology of woody shrubs and trees, 42–73. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119104452.ch5.
Full textSingh, J. S., and R. K. Chaturvedi. "Plant Traits and Regeneration." In Tropical Dry Deciduous Forest: Research Trends and Emerging Features, 69–110. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7260-4_4.
Full textMiao, Han, and Yue Peng. "Mapping for Quality Traits." In Compendium of Plant Genomes, 93–103. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88647-9_8.
Full textGupta, V. P., G. S. Nanda, and Darbeshwar Roy. "Selection for Simple and Complex Traits." In Plant Breeding, 373–89. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-007-1040-5_15.
Full textYan, Weikai, and Donald H. Wallace. "Breeding for Negatively Associated Traits." In Plant Breeding Reviews, 141–77. Oxford, UK: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470650059.ch4.
Full textBos, Izak, and Peter Caligari. "Selection for several traits." In Selection Methods in Plant Breeding, 222–43. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8432-6_12.
Full textChimungu, Joseph G., and Jonathan P. Lynch. "Root Traits for Improving Nitrogen Acquisition Efficiency." In Plant Biotechnology, 181–92. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06892-3_15.
Full textSchneider, Hannah M., and Jonathan P. Lynch. "Root Traits for Improving N Acquisition Efficiency." In Plant Biotechnology, 163–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68345-0_12.
Full textFriesen, Maren L. "Microbially Mediated Plant Functional Traits." In Molecular Microbial Ecology of the Rhizosphere, 87–102. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118297674.ch8.
Full textFalińska, Krystyna. "Plant Traits and Species Turnover." In Tasks for vegetation science, 60–66. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3266-4_8.
Full textConference papers on the topic "Plant traits"
"Marker-trait associations for agronomic traits in soybean harvested in Kazakhstan." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-213.
Full textБудак, Александр, and Олег Харчук. "Изучение влияния условий года и генотипа на вариабельность и наследуемость количественного признака высота растения и связанных с ним признаков у сои." In International Scientific Symposium "Plant Protection – Achievements and Prospects". Institute of Genetics, Physiology and Plant Protection, Republic of Moldova, 2020. http://dx.doi.org/10.53040/9789975347204.76.
Full text"Towards a Reference Plant Trait Ontology for Modeling Knowledge of Plant Traits and Phenotypes." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004138302200225.
Full text"Marker-trait associations for barley grain quality traits identified in Karaganda and Kostanay regions using GWAS." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-063.
Full textKattenborn, Teja, Javier Lopatin, Fabian Fassnacht, and Sebastian Schmidtlein. "Linking plant strategies (CSR) and remotely sensed plant traits." In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2016. http://dx.doi.org/10.1109/whispers.2016.8071809.
Full textGrigorov, Tatiana. "Variabilitatea caracterelor biomorfologice la mutantul calcaroides de orz de primăvară în generațiile M3-M7." In VIIth International Scientific Conference “Genetics, Physiology and Plant Breeding”. Institute of Genetics, Physiology and Plant Protection, Republic of Moldova, 2021. http://dx.doi.org/10.53040/gppb7.2021.39.
Full text"GWAS between flax accessions and agronomically important phenotypic traits." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-192.
Full textChen, Yuhao, Javier Ribera, Christopher Boomsma, and Edward J. Delp. "Plant leaf segmentation for estimating phenotypic traits." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8297010.
Full text"Association mapping of quantitative trait loci for agronomic traits in spring wheat collection tested under two water regimes in Northern Kazakhstan." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-007.
Full text"Association mapping of agronomically important traits in Russian collection of rapeseed." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-066.
Full textReports on the topic "Plant traits"
Kapulnik, Yoram, Maria J. Harrison, Hinanit Koltai, and Joseph Hershenhorn. Targeting of Strigolacatones Associated Pathways for Conferring Orobanche Resistant Traits in Tomato and Medicago. United States Department of Agriculture, July 2011. http://dx.doi.org/10.32747/2011.7593399.bard.
Full textMoore, Gloria A., Gozal Ben-Hayyim, Charles L. Guy, and Doron Holland. Mapping Quantitative Trait Loci in the Woody Perennial Plant Genus Citrus. United States Department of Agriculture, May 1995. http://dx.doi.org/10.32747/1995.7570565.bard.
Full textvan de Wiel, C. C. M., L. A. P. Lotz, H. C. M. de Bakker, and M. J. M. Smulders. Intellectual property rights and native traits in plant breeding : a quick scan of patents involving products of conventional plantbreeding. Wageningen: Wageningen UR Plant Breeding, 2016. http://dx.doi.org/10.18174/382232.
Full textLindow, Steven, Isaac Barash, and Shulamit Manulis. Relationship of Genes Conferring Epiphytic Fitness and Internal Multiplication in Plants in Erwinia herbicola. United States Department of Agriculture, July 2000. http://dx.doi.org/10.32747/2000.7573065.bard.
Full textFridman, Eyal, Jianming Yu, and Rivka Elbaum. Combining diversity within Sorghum bicolor for genomic and fine mapping of intra-allelic interactions underlying heterosis. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7597925.bard.
Full textWaisel, Yoav, Bobbie McMichael, and Amram Eshel. Decision Making within Plant Root Systems. United States Department of Agriculture, March 1996. http://dx.doi.org/10.32747/1996.7613030.bard.
Full textGranot, David, Richard Amasino, and Avner Silber. Mutual effects of hexose phosphorylation enzymes and phosphorous on plant development. United States Department of Agriculture, January 2006. http://dx.doi.org/10.32747/2006.7587223.bard.
Full textFeldman, Moshe, Eitan Millet, Calvin O. Qualset, and Patrick E. McGuire. Mapping and Tagging by DNA Markers of Wild Emmer Alleles that Improve Quantitative Traits in Common Wheat. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7573081.bard.
Full textOhad, Nir, and Robert Fischer. Regulation of plant development by polycomb group proteins. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7695858.bard.
Full textEshed, Yuval, and John Bowman. Harnessing Fine Scale Tuning of Endogenous Plant Regulatory Processes for Manipulation of Organ Growth. United States Department of Agriculture, 2005. http://dx.doi.org/10.32747/2005.7696519.bard.
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