Browsing by Author "Trudy MacKay, Member"
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- Complex Sex Determination and Microhabitat Use Impact Evolution of Behavior and Morphology in East African Cichlid Fish(2017-03-17) Moore, Emily Christine; Reade Roberts, Chair; Trudy MacKay, Member; John Godwin, Member; Dahlia Nielsen, Member; Martha Reiskind, Graduate School Representative
- Efficient Trialing Methods for Watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai)(2001-04-19) Neppl, Grant; Todd C. Wehner, Chair; Trudy MacKay, Member; Jonathan R. Schultheis, Member; William H. Swallow, MemberResearchers interested in evaluating watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai) cultivars for yield use multiple-row plots to simulate the monoculture system growers use, or single-row plots to save on land, labor, and seeds. We were interested in whether there is a significant interaction of border with center row when diverse cultivars are planted in adjacent rows. Charleston Gray, Crimson Sweet, and Sugar Baby were chosen to represent long, medium, and short vined cultivars, respectively. Cultivars were planted in three-row plots with all nine combinations of the three represented in border and center rows. Each cultivar combination of center row and border rows represented one treatment. The experiment was a randomized complete block with nine plot treatments, two locations (Kinston, Clinton), and three replications. Vine length was measured during the season, and fruit were graded (marketable and cull), counted and weighed at four harvests. Results showed that Charleston Gray had the longest vines, followed by Crimson Sweet and Sugar Baby. In the analysis of variance, the largest effects (F ratio size) on yield were from cultivar, location, and the interaction of the two. The smallest effects were due to the interaction of center with border row, although center by border interactions were significant (5% level) in some cases. Therefore, researchers interested in running trials with many cultivars and small seed quantities can obtain good data using single-row plots. However, there is a small (but significant) interaction of center with border in some cases, so testing at the final stage should be with trials having multiple-row plots or grouping cultivars by vine length. Cultivars having extreme plant types (dwarf vines for example) should be tested in separate trials. One of the most expensive stages of breeding is field testing. This encourages breeders and researchers to make efficient use of limited land, labor and seed in order to maximize information obtained while minimizing the costs of trialing. We were interested in whether smaller single-row plots could be used that would effectively be able to achieve and predict yields obtained from plots with larger dimensions when diverse cultivars were evaluated. The 13 cultivars Allsweet, Fiesta, Regency, Starbrite, Sultan, Florida Favorite, Charleston Gray, Hopi Red Flesh, Crimson Sweet, Jubilee, Navajo Sweet, New Hampshire Midget, and Sugar Baby were used to represent a wide range in yield. Cultivars were planted in single-row plots of three different plot lengths (7.3 m, 3.7 m, and 2.4 m) with all cultivars represented in each plot size. Each combination of cultivar and plot size represented one treatment. The experiment was a randomized complete block with 39 plot treatments, two locations (Kinston and Clinton) and three replications. Fruit were graded (marketable and cull), counted and weighed at five harvests. Analysis of variance indicated the largest effects (F ratio size) on plot yields were from location, plot size and cultivar. The smallest effects were due to the interactions of location with plot size, and cultivar by location by plot size. A location by cultivar interaction was also present, but F ratios were small indicating a small effect. Yields from 7.3 m and 3.7 m plots were consistently no different from each other. Regression analysis of 2.4 m and 3.7 m plots in prediction of 7.3 m plot yields showed 3.7 m plots to have higher R2 (0.90), lower mean square error, lower standard deviations and a lower coefficient of variation than was found for 2.4 m plots. Therefore, researchers interested in maximizing information obtained while minimizing costs in trials with many cultivars can obtain data representative of large 7.3 m plots using 3.7 m plots. However, alleys separating 7.3 m and 3.7 m plots required a yield correction to compensate for the extra growing space allotted to these plots.
- Environmental and Genetic Determinants of Recombination Rate in Drosophila melanogaster.(2015-10-28) Hunter, Chad Michael; Nadia Singh, Chair; Trudy MacKay, Member; Patricia Estes, Member; Reade Roberts, Member; Cecil Bozarth, Graduate School Representative
- Expanding the Genetic Architecture Contributing to Appendage Development.(2012-05-17) Grubbs, Nathaniel Paul; James Mahaffey, Chair; Jonathan Horowitz, Member; Patricia Estes, Member; Michael Sikes, Graduate School Representative; Trudy MacKay, Member
- The Genetic Architecture of Startle Response in Drosophila melanogaster.(2012-12-17) Serrano, Yazmin L; Robert Anholt, Chair; Trudy MacKay, Member; John Godwin, Member
- Genetic Mapping and Genomic Prediction of Maize Quantitative Traits.(2016-03-26) Bian, Yang; James Holland, Chair; Trudy MacKay, Member; Christian Maltecca, Member; Jung-Ying Tzeng, Member; Christopher Gunter, Graduate School Representative
- Genome-wide Association, Epistasis, and Selection of Quantitative Traits in Experimental Populations.(2015-12-17) Lu, Wenjing; Zhaobang Zeng, Co-Chair; Yichao Wu, Co-Chair; Jung-Ying Tzeng, Member; Trudy MacKay, Member; Ilse Ipsen, Graduate School Representative
- Genotype-by-Environment Interactions and Environment-Specific Genomic Prediction in Maize.(2021-05-10) Rogers, Anna Rene; James Holland, Chair; Dahlia Nielsen, Member; Fikret Isik, Member; Trudy MacKay, Member; Ramon Leon Gonzalez, Graduate School Representative
- Mammalian Reproductive Plasticity in Response to Resource Availability.(2016-08-16) Robertson, Scott Marshall; Roger Powell, Chair; Christopher Moorman, Member; David Cobb, Member; John Brake, Graduate School Representative; Trudy MacKay, Member
- On the SNP-based and Sequence-based Whole Genome Studies for Complex Traits.(2012-03-23) Pongpanich, Monnat; Jung-Ying Tzeng, Chair; Trudy MacKay, Member; Dahlia Nielsen, Member; Steffen Heber, Member
- Pleiotropy and Functional Diversification, Redundancy, and Epistasis among Drosophila melanogaster Chemosensory Paralogs.(2020-11-02) Johnstun, Joel Adriance; Robert Anholt, Co-Chair; John Godwin, Co-Chair; Tomislav Vukina, Graduate School Representative; Trudy MacKay, Member; Fred Gould, Minor
- SEUSS-LIKE Transcriptional Adaptors Regulate Floral Evocation, Carpel Margin Meristem Formation and Ovule Development in Arabidopsis thaliana.(2013-06-10) Wynn, April Nicole; Robert Franks, Chair; James Mahaffey, Member; Trudy MacKay, Member; Jose Alonso, Member; David Jordan, Graduate School Representative
- The Speciating Selection Event Algorithm: Evolutionary Computation Inspired by Darwin's Finches and Sewall Wright.(2011-06-06) Nicholson, John; Mark White, Chair; Trudy MacKay, Member; Griff Bilbro, Member; Mesut Baran, Member
