| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000434764 |
| 005 | | 20200227102805 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781687938909 |
| 035 | |
▼a (MiAaPQ)AAI22623357 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 575 |
| 100 | 1 |
▼a Zystro, Jared. |
| 245 | 10 |
▼a Efficient Methods to Develop New Sweet Corn Cultivars for Organic Systems. |
| 260 | |
▼a [S.l.]:
▼b The University of Wisconsin - Madison.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 189 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
| 500 | |
▼a Advisor: Tracy, William F. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a Organic systems differ from their conventional counterparts in ways that may affect the relative performance of plant genotypes. If cases where rank-change genotype-by-system interactions are present, selection in organic environments may be most appropriate when developing cultivars for organic systems. However, doing so requires efficient approaches that address the heterogeneity of organic systems. Identifying which traits are more stable across organic environments allows for better targeting of phenotyping efforts. Improved experimental designs may reduce error due to fine-scale spatial heterogeneity. Mating designs such as North Carolina Design II (NC DII), as well as marker information in concert with genomic BLUPs, can allow the prediction of the performance of a large number of hybrids and synthetics from a smaller subset of tested hybrids and inbreds. Synthetics, varieties produced from intermating multiple inbred lines, may be an appropriate method for developing stable and adaptable cultivars of cross-pollinated crops such as sweet corn (Zea mays). The goal of this research was to evaluate efficient methods to develop new sweet corn cultivars for organic systems. Chapter one provides an overview of the literature of organic breeding, mating designs, genomic prediction, and synthetic varieties. In chapter two, 100 sweet corn hybrids formed from four 5 x 5 North Carolina Design II mating blocks were grown, alongside their 40 inbred parents, in multi-location organic trials in 2015 and 2016. Differences were seen for inbred per se performance, combining ability, and stability across traits measured. In chapter three, phenotypic data from the 2015 and 2016 trials was used in concert with rich marker data to predict the performance of untested hybrids. Twenty-four of these untested hybrids were grown in five organic environments in 2017 and their performance correlated with predictions generated from inbred general combining ability, genomic predictions using solely additive effects, and genomic predictions using both additive and dominance effects. In general, the use of genomic prediction models slightly increased the accuracy of predictions of hybrid performance above the predictions based solely on general combining ability. However, the addition of dominance effects did not generally improve the predictions. In chapter four, phenotypic data from the 2015 and 2016 trials was used in concert with rich marker data to predict the performance of untested synthetic open-pollinated populations. Twenty-six of these untested synthetic populations were grown in five organic environments in 2017 and their performance correlated with predictions generated from inbred general combining ability, genomic predictions using solely additive effects and genomic predictions using both additive and dominance effects. In general, the use of genomic prediction models, either using additive effects alone, or including both additive and dominance effects, did not improve the accuracy of the predictions above those made using inbred general combining ability. |
| 590 | |
▼a School code: 0262. |
| 650 | 4 |
▼a Plant sciences. |
| 650 | 4 |
▼a Agriculture. |
| 650 | 4 |
▼a Genetics. |
| 690 | |
▼a 0479 |
| 690 | |
▼a 0473 |
| 690 | |
▼a 0369 |
| 710 | 20 |
▼a The University of Wisconsin - Madison.
▼b Plant Breeding & Plant Genetics. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-04B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0262 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493989
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |