Literature DB >> 22450859

Probability of success of breeding strategies for improving pro-vitamin A content in maize.

Xuecai Zhang1, Wolfgang H Pfeiffer, Natalia Palacios-Rojas, Raman Babu, Howarth Bouis, Jiankang Wang.   

Abstract

Biofortification for pro-vitamin A content (pVAC) of modern maize inbreds and hybrids is a feasible way to deal with vitamin A deficiency in rural areas in developing countries. The objective of this study was to evaluate the probability of success of breeding strategies when transferring the high pVAC present in donors to elite modern-adapted lines. For this purpose, a genetic model was built based on previous genetic studies, and different selection schemes including phenotypic selection (PS) and marker-assisted selection (MAS) were simulated and compared. MAS for simultaneously selecting all pVAC genes and a combined scheme for selecting two major pVAC genes by MAS followed by ultra performance liquid chromatography screening for the remaining genetic variation on pVAC were identified as being most effective and cost-efficient. The two schemes have 83.7 and 84.8% probabilities of achieving a predefined breeding target on pVAC and adaptation in one breeding cycle under the current breeding scale. When the breeding scale is increased by making 50% more crosses, the probability values could reach 94.8 and 95.1% for the two schemes. Under fixed resources, larger early generation populations with fewer crosses had similar breeding efficiency to smaller early generation populations with more crosses. Breeding on a larger scale was more efficient both genetically and economically. The approach presented in this study could be used as a general way in quantifying probability of success and comparing different breeding schemes in other breeding programs.

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Year:  2012        PMID: 22450859     DOI: 10.1007/s00122-012-1828-4

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  17 in total

1.  QU-GENE: a simulation platform for quantitative analysis of genetic models.

Authors:  D W Podlich; M Cooper
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

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Authors:  Jianbing Yan; Catherine Bermudez Kandianis; Carlos E Harjes; Ling Bai; Eun-Ha Kim; Xiaohong Yang; Debra J Skinner; Zhiyuan Fu; Sharon Mitchell; Qing Li; Maria G Salas Fernandez; Maria Zaharieva; Raman Babu; Yang Fu; Natalia Palacios; Jiansheng Li; Dean Dellapenna; Thomas Brutnell; Edward S Buckler; Marilyn L Warburton; Torbert Rocheford
Journal:  Nat Genet       Date:  2010-03-21       Impact factor: 38.330

3.  Natural genetic variation in lycopene epsilon cyclase tapped for maize biofortification.

Authors:  Carlos E Harjes; Torbert R Rocheford; Ling Bai; Thomas P Brutnell; Catherine Bermudez Kandianis; Stephen G Sowinski; Ann E Stapleton; Ratnakar Vallabhaneni; Mark Williams; Eleanore T Wurtzel; Jianbing Yan; Edward S Buckler
Journal:  Science       Date:  2008-01-18       Impact factor: 47.728

4.  Application of near-infrared reflectance spectroscopy (NIRS) to the evaluation of carotenoids content in maize.

Authors:  Oreste V Brenna; Nicola Berardo
Journal:  J Agric Food Chem       Date:  2004-09-08       Impact factor: 5.279

5.  Using molecular markers to identify two major loci controlling carotenoid contents in maize grain.

Authors:  Subhash Chander; Y Q Guo; X H Yang; J Zhang; X Q Lu; J B Yan; T M Song; T R Rocheford; J S Li
Journal:  Theor Appl Genet       Date:  2007-10-25       Impact factor: 5.699

6.  Cloning of the y1 Locus of Maize, a Gene Involved in the Biosynthesis of Carotenoids.

Authors:  B. Buckner; T. L. Kelson; D. S. Robertson
Journal:  Plant Cell       Date:  1990-09       Impact factor: 11.277

7.  Simultaneous selection of major and minor genes: use of QTL to increase selection efficiency of coleoptile length of wheat (Triticum aestivum L.).

Authors:  Jiankang Wang; Scott C Chapman; David G Bonnett; Greg J Rebetzke
Journal:  Theor Appl Genet       Date:  2009-04-10       Impact factor: 5.699

8.  Cloning and functional analysis of the beta-carotene hydroxylase of Arabidopsis thaliana.

Authors:  Z Sun; E Gantt; F X Cunningham
Journal:  J Biol Chem       Date:  1996-10-04       Impact factor: 5.157

9.  Cloning and characterization of a maize cDNA encoding phytoene desaturase, an enzyme of the carotenoid biosynthetic pathway.

Authors:  Z H Li; P D Matthews; B Burr; E T Wurtzel
Journal:  Plant Mol Biol       Date:  1996-01       Impact factor: 4.076

10.  QTL and candidate genes phytoene synthase and zeta-carotene desaturase associated with the accumulation of carotenoids in maize.

Authors:  J C Wong; R J Lambert; E T Wurtzel; T R Rocheford
Journal:  Theor Appl Genet       Date:  2003-10-02       Impact factor: 5.699

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  4 in total

1.  Introgression of the crtRB1 gene into quality protein maize inbred lines using molecular markers.

Authors:  Li Liu; Daniel Jeffers; Yudong Zhang; Meiling Ding; Wei Chen; Manjit S Kang; Xingming Fan
Journal:  Mol Breed       Date:  2015-07-16       Impact factor: 2.589

2.  Marker-assisted pyramiding of lycopene-ε-cyclase, β-carotene hydroxylase1 and opaque2 genes for development of biofortified maize hybrids.

Authors:  Jagveer Singh; Shikha Sharma; Amandeep Kaur; Yogesh Vikal; Amandeep Kaur Cheema; Balraj Kaur Bains; Noorpreet Kaur; Gurjit Kaur Gill; Pawan Kumar Malhotra; Ashok Kumar; Priti Sharma; Vignesh Muthusamy; Amarjeet Kaur; Jasbir Singh Chawla; Firoz Hossain
Journal:  Sci Rep       Date:  2021-06-16       Impact factor: 4.379

3.  Development of β-carotene rich maize hybrids through marker-assisted introgression of β-carotene hydroxylase allele.

Authors:  Vignesh Muthusamy; Firoz Hossain; Nepolean Thirunavukkarasu; Mukesh Choudhary; Supradip Saha; Jayant S Bhat; Boddupalli M Prasanna; Hari S Gupta
Journal:  PLoS One       Date:  2014-12-08       Impact factor: 3.240

Review 4.  Molecular Breeding for Nutritionally Enriched Maize: Status and Prospects.

Authors:  Boddupalli M Prasanna; Natalia Palacios-Rojas; Firoz Hossain; Vignesh Muthusamy; Abebe Menkir; Thanda Dhliwayo; Thokozile Ndhlela; Felix San Vicente; Sudha K Nair; Bindiganavile S Vivek; Xuecai Zhang; Mike Olsen; Xingming Fan
Journal:  Front Genet       Date:  2020-02-21       Impact factor: 4.599

  4 in total

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