MARC보기
LDR02120nam u200421 4500
001000000422861
00520190215170452
008181129s2017 |||||||||||||||||c||eng d
020 ▼a 9780438030763
035 ▼a (MiAaPQ)AAI10616774
035 ▼a (MiAaPQ)umn:18447
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 630
1001 ▼a Singh, Amritpal.
24510 ▼a Mapping Quantitative Trait Loci and Assessing the Prospects of Genomic Prediction for Resistance to Goss's Wilt of Maize.
260 ▼a [S.l.]: ▼b University of Minnesota., ▼c 2017.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2017.
300 ▼a 164 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Aaron Lorenz.
5021 ▼a Thesis (Ph.D.)--University of Minnesota, 2017.
520 ▼a 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
520 ▼a 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
520 ▼a 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.
590 ▼a School code: 0130.
650 4 ▼a Agronomy.
650 4 ▼a Plant sciences.
690 ▼a 0285
690 ▼a 0479
71020 ▼a University of Minnesota. ▼b Applied Plant Sciences.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0130
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996634 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033