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Genetic and quantitative analysis of...

Molina Bravo, Ramon.

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Genetic and quantitative analysis of red raspberry (Rubus idaeus) for heat tolerance and longer chilling requirement.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Genetic and quantitative analysis of red raspberry (Rubus idaeus) for heat tolerance and longer chilling requirement./
Author:	Molina Bravo, Ramon.
Description:	160 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1412.
Contained By:	Dissertation Abstracts International71-03B.
Subject:	Biology, Molecular. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3395248
ISBN:	9781109645637

Genetic and quantitative analysis of red raspberry (Rubus idaeus) for heat tolerance and longer chilling requirement.
Molina Bravo, Ramon.

Genetic and quantitative analysis of red raspberry (Rubus idaeus) for heat tolerance and longer chilling requirement. - 160 p.

Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1412.

Thesis (Ph.D.)--North Carolina State University, 2009.

Despite the high level of interest for growing raspberries ( Rubus idaeus) in the southeastern US, production is limited by the lack of adapted, high quality cultivars. Breeding efforts are underway for increasing cultivar availability, however developing improved cultivars in Rubus is a slow and time-consuming process. In order to expedite the slow, but effective, breeding process, more molecular breeding tools need to be developed. Cultivars adapted to the southeastern US need to tolerate warm summers, and winters with wide temperature fluctuations. To address this issue, a genetic mapping population that segregates for tolerance to both climatic conditions has been developed from a cross between (R. parvifolius x 'Tulameen') x 'Qualicum'. This population was used for the construction of a genetic linkage map and for quantitative trait loci (QTL) analysis for heat tolerance, and for tolerance to fluctuating winter temperatures. Seven linkage groups were identified and were anchored to the already existing map. The majority of the linkage groups identified were of similar genetic size, and anchor markers were located at similar genetic distances relative to other markers in linkage groups. For significant QTL analysis, accurate phenotypic screening in the population is crucial. Because heat tolerance is a difficult trait to measure, a protocol was developed using chlorophyll fluorescence to assess heat tolerance. The protocol was used to measure heat tolerance in the mapping population, and after QTL analysis, 3 regions explained &sim;35% of the variation. Appropriate chilling requirement is necessary in woody perennials for tolerance to temperature fluctuations in the winter. Therefore, this trait was analyzed for the location of important QTL on the constructed map. Chilling requirements in the mapping population were estimated by measuring bud break in greenhouse conditions. These estimates were subjected to quantitative trait analysis, and three QTL were found in two separate season evaluations. In most cases, co-localization of these QTL occurred in the same region on the map. These regions explained the majority of the variation of the trait (100-64.5%). Other important horticultural traits segregated in the (R. parvifolius x 'Tulameen') x 'Qualicum' cross, and were evaluated for QTL analysis as well. The horticultural traits of importance were growth habit, prickle density, fruit color, fruit shape, and fruit size. In most cases, two field evaluations were performed. Several regions were identified as significant and the majority of the QTL were co-localized to the same region of the linkage map. In summary, this research has established a protocol that measures heat tolerance without relying on visual assessment, and has mapped important QTL for further molecular studies. This research has drawn a baseline foundation for the development of molecular technologies in improving heat tolerance and tolerance to winter temperature fluctuations in Rubus. Future research should focus on these regions to develop closely linked molecular markers for marker assisted breeding.

ISBN: 9781109645637Subjects--Topical Terms:

1017719
Biology, Molecular.

Genetic and quantitative analysis of red raspberry (Rubus idaeus) for heat tolerance and longer chilling requirement.
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245 1 0 $a Genetic and quantitative analysis of red raspberry (Rubus idaeus) for heat tolerance and longer chilling requirement.
300 $a 160 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1412.
500 $a Advisers: Bryon R. Sosinski;. Gina E. Fernandez.
502 $a Thesis (Ph.D.)--North Carolina State University, 2009.
520 $a Despite the high level of interest for growing raspberries ( Rubus idaeus) in the southeastern US, production is limited by the lack of adapted, high quality cultivars. Breeding efforts are underway for increasing cultivar availability, however developing improved cultivars in Rubus is a slow and time-consuming process. In order to expedite the slow, but effective, breeding process, more molecular breeding tools need to be developed. Cultivars adapted to the southeastern US need to tolerate warm summers, and winters with wide temperature fluctuations. To address this issue, a genetic mapping population that segregates for tolerance to both climatic conditions has been developed from a cross between (R. parvifolius x 'Tulameen') x 'Qualicum'. This population was used for the construction of a genetic linkage map and for quantitative trait loci (QTL) analysis for heat tolerance, and for tolerance to fluctuating winter temperatures. Seven linkage groups were identified and were anchored to the already existing map. The majority of the linkage groups identified were of similar genetic size, and anchor markers were located at similar genetic distances relative to other markers in linkage groups. For significant QTL analysis, accurate phenotypic screening in the population is crucial. Because heat tolerance is a difficult trait to measure, a protocol was developed using chlorophyll fluorescence to assess heat tolerance. The protocol was used to measure heat tolerance in the mapping population, and after QTL analysis, 3 regions explained &sim;35% of the variation. Appropriate chilling requirement is necessary in woody perennials for tolerance to temperature fluctuations in the winter. Therefore, this trait was analyzed for the location of important QTL on the constructed map. Chilling requirements in the mapping population were estimated by measuring bud break in greenhouse conditions. These estimates were subjected to quantitative trait analysis, and three QTL were found in two separate season evaluations. In most cases, co-localization of these QTL occurred in the same region on the map. These regions explained the majority of the variation of the trait (100-64.5%). Other important horticultural traits segregated in the (R. parvifolius x 'Tulameen') x 'Qualicum' cross, and were evaluated for QTL analysis as well. The horticultural traits of importance were growth habit, prickle density, fruit color, fruit shape, and fruit size. In most cases, two field evaluations were performed. Several regions were identified as significant and the majority of the QTL were co-localized to the same region of the linkage map. In summary, this research has established a protocol that measures heat tolerance without relying on visual assessment, and has mapped important QTL for further molecular studies. This research has drawn a baseline foundation for the development of molecular technologies in improving heat tolerance and tolerance to winter temperature fluctuations in Rubus. Future research should focus on these regions to develop closely linked molecular markers for marker assisted breeding.
590 $a School code: 0155.
650 4 $a Biology, Molecular. $3 1017719
650 4 $a Biology, Genetics. $3 1017730
650 4 $a Agriculture, Horticulture. $3 1017832
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710 2 $a North Carolina State University. $3 1018772
773 0 $t Dissertation Abstracts International $g 71-03B.
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790 1 0 $a Fernandez, . Gina E., $e advisor
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