자료유형 | 학위논문 |
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서명/저자사항 | Mapping Quantitative Trait Loci and Assessing the Prospects of Genomic Prediction for Resistance to Goss's Wilt of Maize. |
개인저자 | Singh, Amritpal. |
단체저자명 | University of Minnesota. Applied Plant Sciences. |
발행사항 | [S.l.]: University of Minnesota., 2017. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
형태사항 | 164 p. |
기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
ISBN | 9780438030763 |
학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2017. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Aaron Lorenz. |
요약 | Goss's wilt is a bacterial disease of maize caused by the Gram-positive bacterium Clavibacter michiganensis subsp. nebraskensis (Cmn). Goss's wilt was discovered for the first time in South Central Nebraska in 1969. Following its discovery, the |
요약 | Genomic prediction of Goss's wilt resistance was conducted on the data obtained from bi-parental families and the diversity panel. Highest predictive ability of 0.56 and 0.64 was achieved in the diversity panel and B73 x Oh43 population respecti |
요약 | Overall, the results improved our understanding of the genetic architecture of Goss's wilt resistance and showed that the resistance to Goss's wilt is a complex trait, controlled by small effect QTL. |
일반주제명 | Agronomy. Plant sciences. |
언어 | 영어 |
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