國立虎尾科技大學 |

Understanding the Genetics of Flower Production in Petunia.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Understanding the Genetics of Flower Production in Petunia./
作者:	Chen, QiuXia Cherry.
面頁冊數:	1 online resource (126 pages)
附註:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
標題:	Horticulture. -
電子資源:	click for full text (PQDT)
ISBN:	9780355216790

Understanding the Genetics of Flower Production in Petunia.
Chen, QiuXia Cherry.

Understanding the Genetics of Flower Production in Petunia. - 1 online resource (126 pages)

Source: Masters Abstracts International, Volume: 56-06.

Thesis (M.S.)--Michigan State University, 2017.

Includes bibliographical references

Petunia (Petunia x hybrida) has ranked among the top three bedding plants sold in the United States since 1994 and was the top seller in 2013-2015. Understanding the genetics underlying traits related to flowering capacity will be useful to improve commercially available cultivars by decreasing flowering time and improving crop quality. Quantitative trait loci (QTL) mapping can facilitate understanding of the genetic control of flower production and development of marker-assisted breeding strategies to improve breeding efficiencies. In this study, an F7 P. axillaris x P. exserta recombinant inbred line population was phenotyped for several crop timing and quality related traits at three greenhouse temperature regimes and at four field locations. Total flower bud and branch number were positively correlated under two of the three greenhouse temperatures. Flowering performance was positively correlated with vigor and plant height at all field locations. All of these traits exhibited transgressive segregation in the population, indicating that they are under polygenic control, and have high broad-sense heritabilities, collectively suggesting that this population should be useful for identification of QTL associated with these traits. A total of 68 and 79 QTL for five greenhouse and seven field traits were identified using composite interval mapping. Thirty of these QTL were detected either at multiple temperatures, years, or locations suggesting that they are robust and useful for marker development. The identification and characterization of QTL underlying flower component traits in different environments provides new insight into the genetic and environmental control of flowering-related traits in petunia.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355216790Subjects--Topical Terms:

1058420
Horticulture.
Index Terms--Genre/Form:

554714
Electronic books.

Understanding the Genetics of Flower Production in Petunia.
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500 $a Adviser: Ryan M. Warner.
502 $a Thesis (M.S.)--Michigan State University, 2017.
504 $a Includes bibliographical references
520 $a Petunia (Petunia x hybrida) has ranked among the top three bedding plants sold in the United States since 1994 and was the top seller in 2013-2015. Understanding the genetics underlying traits related to flowering capacity will be useful to improve commercially available cultivars by decreasing flowering time and improving crop quality. Quantitative trait loci (QTL) mapping can facilitate understanding of the genetic control of flower production and development of marker-assisted breeding strategies to improve breeding efficiencies. In this study, an F7 P. axillaris x P. exserta recombinant inbred line population was phenotyped for several crop timing and quality related traits at three greenhouse temperature regimes and at four field locations. Total flower bud and branch number were positively correlated under two of the three greenhouse temperatures. Flowering performance was positively correlated with vigor and plant height at all field locations. All of these traits exhibited transgressive segregation in the population, indicating that they are under polygenic control, and have high broad-sense heritabilities, collectively suggesting that this population should be useful for identification of QTL associated with these traits. A total of 68 and 79 QTL for five greenhouse and seven field traits were identified using composite interval mapping. Thirty of these QTL were detected either at multiple temperatures, years, or locations suggesting that they are robust and useful for marker development. The identification and characterization of QTL underlying flower component traits in different environments provides new insight into the genetic and environmental control of flowering-related traits in petunia.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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