Literature DB >> 30945677

Estimation of genetic architecture of biochemical traits in mid-late cauliflower (Brassica oleracea L. var. botrytis) under sub-temperate conditions of north western Himalayas.

Arti Verma1, Yudhvir Singh.   

Abstract

Understanding the genetic basis of biochemical traits of different cauliflower genotypes is essential for planning the effective breeding strategies in genetic improvement. To determine the mode of inheritance of dry matter content and biochemical traits, we made crosses using four genotypes of cauliflower, and obtained F1, F2, BC1 and BC2 populations. The six generations obtained were replicated thrice and evaluated in a randomized block design. The generation mean analysis of data showed the presence of duplicate epistasis in dry matter content which suggested the adoption of reciprocal recurrent selection and biparental mating for the improvement of the trait. However, in case of vitamin C, complementary type of epistasis was reported in three crosses, which indicated the exploitation of heterosis breeding of enhancing vitamin C. It can be concluded that the role of gene action was in general more complex for the traits studied. The nature and magnitude of gene effects varies character-wise as well as cross-wise. Hence, for the improvement of dry matter content and biochemical traits in a particular cross, a specific breeding strategy has to be implemented.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30945677

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  20 in total

Review 1.  The genetic legacy of the Quaternary ice ages.

Authors:  G Hewitt
Journal:  Nature       Date:  2000-06-22       Impact factor: 49.962

2.  Microsatellite development for the relictual conifer Araucaria araucana (Araucariaceae) using next-generation sequencing.

Authors:  M Angela Martín; Claudia Mattioni; Ilaria Lusini; Fernando Drake; Marcello Cherubini; M Angel Herrera; Fiorella Villani; Luis M Martín
Journal:  Am J Bot       Date:  2012-04-26       Impact factor: 3.844

3.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

4.  High level of genetic differentiation for allelic richness among populations of the argan tree [Argania spinosa (L.) Skeels] endemic to Morocco.

Authors:  A El Mousadik; R J Petit
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

5.  Genetic effects of chronic habitat fragmentation revisited: Strong genetic structure in a temperate tree, Taxus baccata (Taxaceae), with great dispersal capability.

Authors:  Marta Dubreuil; Miquel Riba; Santiago C González-Martínez; Giovanni G Vendramin; Federico Sebastiani; Maria Mayol
Journal:  Am J Bot       Date:  2010-01-22       Impact factor: 3.844

Review 6.  Plant molecular phylogeography in China and adjacent regions: Tracing the genetic imprints of Quaternary climate and environmental change in the world's most diverse temperate flora.

Authors:  Ying-Xiong Qiu; Cheng-Xing Fu; Hans Peter Comes
Journal:  Mol Phylogenet Evol       Date:  2011-02-01       Impact factor: 4.286

7.  Pliocene intraspecific divergence and Plio-Pleistocene range expansions within Picea likiangensis (Lijiang spruce), a dominant forest tree of the Qinghai-Tibet Plateau.

Authors:  Long Li; Richard J Abbott; Bingbing Liu; Yongshuai Sun; Lili Li; Jiabin Zou; Xi Wang; Georg Miehe; Jianquan Liu
Journal:  Mol Ecol       Date:  2013-10       Impact factor: 6.185

8.  A study of conservation genetics in Cupressus chengiana, an endangered endemic of China, using ISSR markers.

Authors:  Bingqing Hao; Wang Li; Mu Linchun; Yao Li; Zhang Rui; Tang Mingxia; Bao Weikai
Journal:  Biochem Genet       Date:  2006-05-03       Impact factor: 1.890

9.  Genetic diversity and conservation implications of four Cupressus species in China as revealed by microsatellite markers.

Authors:  Xu Lu; Haiyan Xu; Zhonghu Li; Huiying Shang; Robert P Adams; Kangshan Mao
Journal:  Biochem Genet       Date:  2013-12-03       Impact factor: 1.890

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.