Добірка наукової літератури з теми "Tree improvement (incl. selection and breeding)"
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Статті в журналах з теми "Tree improvement (incl. selection and breeding)"
Lebedev, Vadim G., Tatyana N. Lebedeva, Aleksey I. Chernodubov, and Konstantin A. Shestibratov. "Genomic Selection for Forest Tree Improvement: Methods, Achievements and Perspectives." Forests 11, no. 11 (November 11, 2020): 1190. http://dx.doi.org/10.3390/f11111190.
Повний текст джерелаNorton, J. D., Hongwen Huang, and Fenny Dane. "Breeding and Improvement of Chinese Chestnut." HortScience 33, no. 4 (July 1998): 600f—600. http://dx.doi.org/10.21273/hortsci.33.4.600f.
Повний текст джерелаCheliak, W. M., and D. L. Rogers. "Integrating biotechnology into tree improvement programs." Canadian Journal of Forest Research 20, no. 4 (April 1, 1990): 452–63. http://dx.doi.org/10.1139/x90-062.
Повний текст джерелаMahajan, R., and P. Gupta. " Molecular markers: their use in tree improvement." Journal of Forest Science 58, No. 3 (March 27, 2012): 137–44. http://dx.doi.org/10.17221/5579-jfs.
Повний текст джерелаHuang, Yinghua, David Karnosky, and C. G. Tauer. "Applications of Biotechnology and Molecular Genetics to Tree Improvement." Arboriculture & Urban Forestry 19, no. 2 (March 1, 1993): 84–98. http://dx.doi.org/10.48044/jauf.1993.016.
Повний текст джерелаZhao, Ye, Yanting Tian, Yuhan Sun, and Yun Li. "The Development of Forest Genetic Breeding and the Application of Genome Selection and CRISPR/Cas9 in Forest Breeding." Forests 13, no. 12 (December 10, 2022): 2116. http://dx.doi.org/10.3390/f13122116.
Повний текст джерелаEl-KASSABY, YOUSRY A., and MILAN LSTIBŮREK. "Breeding without breeding." Genetics Research 91, no. 2 (April 2009): 111–20. http://dx.doi.org/10.1017/s001667230900007x.
Повний текст джерелаFaulkner, Roy. "Genetics and breeding of Sitka spruce." Proceedings of the Royal Society of Edinburgh. Section B. Biological Sciences 93, no. 1-2 (1987): 41–50. http://dx.doi.org/10.1017/s0269727000006266.
Повний текст джерелаThakur, Ram Bichari, and Joachim Schmerbeck. "Role of Tree Breeding in Timber and Wood Supply in World and India: Status and Outlook." Initiation 5 (April 19, 2014): 153–63. http://dx.doi.org/10.3126/init.v5i0.10266.
Повний текст джерелаParnia, P., Gh Mladin, I. Duţu, and N. Stanchi. "Progress in Breeding Rootstocks in Romania." HortScience 23, no. 1 (February 1988): 107–9. http://dx.doi.org/10.21273/hortsci.23.1.107.
Повний текст джерелаДисертації з теми "Tree improvement (incl. selection and breeding)"
Myszewski, Jennifer Helen. "A comparison of selection and breeding strategies for incorporating wood properties into a loblolly pine (Pinus taeda L.) elite population breeding program." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/75.
Повний текст джерела(8797199), Blake A. Russell. "Trait Identification to Improve Yield and Nitrogen Use Efficiency in Wheat." Thesis, 2020.
Знайти повний текст джерелаWheat is a major source of calories and protein for humans worldwide. Wheat is the most widely grown crop, with cultivation areas and production systems on every continent. The cultivated land area is vast because of its importance and adaptability to various environmental conditions. Global wheat production has not kept up with the growing population, provoking the need to develop new methods and techniques to increase genetic gains. The first research chapter of this Ph.D. dissertation involves performing genome-wide association studies (GWAS) to identify and examine transferability of marker-trait associations (MTAs) across environments. I evaluated yield and yield components traits among 270 soft red winter (SRW) wheat varieties. The population consists of experimental breeding lines adapted to the Midwestern and eastern United States and developed by public university breeding programs. Phenotypic data from a two-year field study and a 45K-SNP marker dataset were analyzed by FarmCPU model to identify MTAs for yield related traits. Grain yield was positively correlated with thousand kernel weight, biomass, and grain weight per spike while negatively correlated with days to heading and maturity. Sixty-one independent loci were identified for agronomic traits, including a region that with –logP of 16.35, which explained 18% of the variation in grain yield. Using 12 existing datasets from other states and seasons, in addition to my own data, I examined the transferability of significant MTAs for grain yield and days to heading across homogenous environments. For grain yield and days to heading, I only observed 6 out of 28 MTAs to hold up across homogenous environments. I concluded that not all marker-trait associations can be detected in other environments.
In the second research chapter of this Ph.D. dissertation, I dissected yield component traits under contrasting nitrogen environments by using field-based low-throughput phenotyping. I characterized grain yield formation and quality attributes in soft red winter wheat. Using a split-block design, I studied responses of 30 experimental lines, as sub-plot, to high nitrogen and low nitrogen environment, as main-plot, for two years. Differential N environments were imposed by the application, or lack thereof, of spring nitrogen application in a field, following a previous corn harvest. In this study, I measured agronomic traits, in-tissue nitrogen concentrations, nitrogen use efficiency, nitrogen harvest index and end-use quality traits on either all or subset of the germplasm. My data showed that biomass, number of spikes and total grain numbers per unit area were most sensitive to low nitrogen while kernel weight remained stable across environments. Significant genotype x N-environment interaction allowed me to select N-efficient germplasm, that can be used as founding parents for a potential breeding population specifically for low-N environments. I did this selection on the basis of superior agronomic traits and the presence of the desirable gluten quality alleles such as Glu-A1b (2*) and Glu-D1d (5+10).
(8067956), Caleb H. Redick. "Quantifying Impacts of Deer Browsing and Mitigation Efforts on Hardwood Forest Regeneration." Thesis, 2019.
Знайти повний текст джерелаDue to overpopulation and resource-poor habitat structure, deer threaten the future of oak and other browse-sensitive species in hardwood forests. Appropriate tools must be used to ensure desirable, diverse, and ecologically stable regeneration of future forests and the sustainability of native plant communities. We performed two experiments and a review to examine the effectiveness of available methods for managing browse of hardwood seedlings and to discover how these interact with each other and other silvicultural methods. First, we examined how fencing interacts with controlled-release fertilization, seed source (genetically select and non-select), and site type (afforested and reforested sites) to enhance the regeneration of planted northern red oak (Quercus rubra L.), white oak (Quercus alba), black cherry (Prunus serotina), and black walnut (Juglans nigra) at five sites in Indiana. Fencing proved to be the greatest determinant of seedling growth, survival, and quality. Fertilizer enhanced the early growth of white oak and black cherry, though for black cherry this occurred only inside fences. Select seed sources grew better and showed greater quality; however, the survival of select seedlings was limited by deer browse in absence of fences. Trees at afforested sites had lower survival if left non-fenced. Secondly, we also investigated how fencing and invasive shrub removal affected natural regeneration, species richness, and ground-layer plant cover under closed-canopy forests. Honeysuckle (Lonicera maackii) removal had a variable effect depending on species and site. Positive effects were most common for shade-intolerant species, while negative effects occurred for a few shade-tolerant species at some sites. Deer fencing had a positive effect on cherry and hackberry seedling density, and a negative effect on elm seedling density. Honeysuckle and deer fencing interacted antagonistically in some instances. Fencing without honeysuckle removal resulted in lower elm abundance and herbaceous-layer cover. In the densest invasions, leaving honeysuckle intact resulted in a complete lack of recruitment into the sapling layer. Our experiment suggests that invasive shrub removal and fencing be done together. Finally, we synthesized the existing literature on browse management options for hardwood regeneration to evaluate their relative effectiveness. Fences, tree shelters, repellents, facilitation by neighboring plants, deer population control, timber harvest, and slash all had positive effects on height growth of regenerating seedlings under deer browse pressure. Fences were more effective at reducing browse than repellents, while fertilizers increased browse and had no effects on growth.
(9390080), Andrea N. Brennan. "A Multidisciplinary Approach to Restoration of Butternut (Juglans cinerea)." Thesis, 2020.
Знайти повний текст джерелаКниги з теми "Tree improvement (incl. selection and breeding)"
Franzel, Steven Charles. Choosing the right trees: Setting priorities for multipurpose tree improvement. The Hague, Netherlands: International Service for National Agricultural Research, 1996.
Знайти повний текст джерелаWhite, Timothy L. Predicting breeding values with applications in forest tree improvement. Dordrecht: Kluwer Academic Publishers, 1989.
Знайти повний текст джерелаHouse, APN, and CE Harwood, eds. Australian Dry-zone Acacias for Human Food. CSIRO Publishing, 1992. http://dx.doi.org/10.1071/9780643100718.
Повний текст джерелаЧастини книг з теми "Tree improvement (incl. selection and breeding)"
Grattapaglia, Dario. "Status and Perspectives of Genomic Selection in Forest Tree Breeding." In Genomic Selection for Crop Improvement, 199–249. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63170-7_9.
Повний текст джерелаWhite, Timothy L., and Gary R. Hodge. "Selection Index Applications." In Predicting Breeding Values with Applications in Forest Tree Improvement, 232–75. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-015-7833-2_10.
Повний текст джерелаWhite, Timothy L., and Gary R. Hodge. "Selection Index Theory." In Predicting Breeding Values with Applications in Forest Tree Improvement, 208–30. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-015-7833-2_9.
Повний текст джерелаM. E. Mbinga, Joram, Stephen F. Omondi, and Alice A. Onyango. "Conifers: Species Diversity and Improvement Status in Kenya." In Conifers - Recent Advances [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.101111.
Повний текст джерела