Academic literature on the topic 'Crop and pasture improvement (incl. selection and breeding)'
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Journal articles on the topic "Crop and pasture improvement (incl. selection and breeding)"
Smith, K. F., and P. F. Fennessy. "The use of conjoint analysis to determine the relative importance of specific traits as selection criteria for the improvement of perennial pasture species in Australia." Crop and Pasture Science 62, no. 4 (2011): 355. http://dx.doi.org/10.1071/cp10320.
Full textNichols, P. G. H., R. A. C. Jones, T. J. Ridsdill-Smith, and M. J. Barbetti. "Genetic improvement of subterranean clover (Trifolium subterraneum L.). 2. Breeding for disease and pest resistance." Crop and Pasture Science 65, no. 11 (2014): 1207. http://dx.doi.org/10.1071/cp14031.
Full textQuesenberry, Kenneth, Patricio Munoz, Ann Blount, Kevin Kenworthy, and William Crow. "Breeding forages in Florida for resistance to nematodes." Crop and Pasture Science 65, no. 11 (2014): 1192. http://dx.doi.org/10.1071/cp13437.
Full textHughes, S. J., R. Snowball, K. F. M. Reed, B. Cohen, K. Gajda, A. R. Williams, and S. L. Groeneweg. "The systematic collection and characterisation of herbaceous forage species for recharge and discharge environments in southern Australia." Australian Journal of Experimental Agriculture 48, no. 4 (2008): 397. http://dx.doi.org/10.1071/ea07106.
Full textOram, R. N., V. Ferreira, R. A. Culvenor, A. A. Hopkins, and A. Stewart. "The first century of Phalaris aquatica L. cultivation and genetic improvement: a review." Crop and Pasture Science 60, no. 1 (2009): 1. http://dx.doi.org/10.1071/cp08170.
Full textCulvenor, RA, RN Oram, and de St Groth C. Fazekas. "Variation in tolerance in Phalaris aquatica L. and a related species to aluminium in nutrient solution and soil." Australian Journal of Agricultural Research 37, no. 4 (1986): 383. http://dx.doi.org/10.1071/ar9860383.
Full textBarrett, Brent A., Marty J. Faville, Kioumars Ghamkhar, and Marcelo J. Carena. "Developing new tools for pasture plant breeding." Journal of New Zealand Grasslands, December 8, 2018, 255–62. http://dx.doi.org/10.33584/jnzg.2018.80.343.
Full textBarrett, Brent, Zulfi Jahufer, Sai Arojju, Jude Sise, and Marty Faville. "Forecasting the genetic and economic impacts of genomic selection in perennial ryegrass." Journal of New Zealand Grasslands, February 2, 2022, 92–98. http://dx.doi.org/10.33584/jnzg.2021.83.3510.
Full textBryan, G. T. "Biotechnology in forage crops - capturing our potential." Proceedings of the New Zealand Grassland Association, January 1, 2001, 235–39. http://dx.doi.org/10.33584/jnzg.2001.63.2409.
Full textDissertations / Theses on the topic "Crop and pasture improvement (incl. selection and breeding)"
Childerhouse, Emma. "The effect of a natural plant extract and synthetic plant growth regulators on growth, quality and endogenous hormones of Actinidia chinensis and Actinidia deliciosa fruit : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Horticultural Science at Massey University, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1052.
Full textStewart, Alan V. "Plant breeding aspects of ryegrasses (Lolium sp.) infected with endophytic fungi." Phd thesis, University of Canterbury. Lincoln College, 1987. http://theses.lincoln.ac.nz/public/adt-NZLIU20071005.172250/.
Full textLeeks, C. R. F. "Determining seed vigour in selected Brassica species." Lincoln University, 2006. http://hdl.handle.net/10182/1274.
Full textMoot, Derrick J. "Harvest index variability within and between field pea (Pisum sativum L.) crops." Lincoln University, 1993. http://hdl.handle.net/10182/1285.
Full textRaikar, S. V. "Protoplast fusion of Lolium perenne and Lotus corniculatus for gene introgression." Diss., Lincoln University, 2007. http://hdl.handle.net/10182/301.
Full text(7718969), N. Smith. "Aspects of seed germination and early growth in rainforest cabinet timber species." Thesis, 2002. https://figshare.com/articles/thesis/Aspects_of_seed_germination_and_early_growth_in_rainforest_cabinet_timber_species/13426841.
Full text(9847298), Zongjian Yang. "Resource allocation within plants: Some theoretical and practical implications for control of plant development." Thesis, 2003. https://figshare.com/articles/thesis/Resource_allocation_within_plants_Some_theoretical_and_practical_implications_for_control_of_plant_development/13424417.
Full text(12298370), Alison S. Jensen. "Redefining pachymetra root rot management strategies and cultivar resistance in commercial sugarcane fields." Thesis, 2020. https://figshare.com/articles/thesis/Redefining_pachymetra_root_rot_management_strategies_and_cultivar_resistance_in_commercial_sugarcane_fields/19426862.
Full text(9834818), Sachesh Silwal. "Comparative analysis of physiological and phenological traits of rice (Oryza sativa) under aerobic production systems in dry and wet tropics of Queensland, Australia." Thesis, 2017. https://figshare.com/articles/thesis/Comparative_analysis_of_physiological_and_phenological_traits_of_rice_Oryza_sativa_under_aerobic_production_systems_in_dry_and_wet_tropics_of_Queensland_Australia/13452425.
Full text(8797199), Blake A. Russell. "Trait Identification to Improve Yield and Nitrogen Use Efficiency in Wheat." Thesis, 2020.
Find full textWheat 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).