Literature DB >> 16936836

Genetic and molecular basis of grain size and grain number and its relevance to grain productivity in higher plants.

Pushpendra K Gupta1, Sachin Rustgi, Neeraj Kumar.   

Abstract

Grain size and grain number constitute 2 important components of grain yield. In particular, the grain size also influences the end-use quality (e.g., flour yield and protein content) and attracts consumer preference. These 2 traits are also the components of the domestication syndrome of crop plants. A number of important studies have recently been conducted to understand the genetic and molecular basis of these 2 important yield-contributing traits. Information generated from these studies was collected and synthesized for the benefit of plant biologists, particularly plant breeders. In the present article, this information is briefly reviewed and the prospects of using this information for improvement of grain productivity in crop plants are discussed.

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Year:  2006        PMID: 16936836     DOI: 10.1139/g06-063

Source DB:  PubMed          Journal:  Genome        ISSN: 0831-2796            Impact factor:   2.166


  54 in total

1.  Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population.

Authors:  Zhanhui Zhang; Xiangyuan Wu; Chaonan Shi; Rongna Wang; Shengfei Li; Zhaohui Wang; Zonghua Liu; Yadong Xue; Guiliang Tang; Jihua Tang
Journal:  Mol Genet Genomics       Date:  2015-09-29       Impact factor: 3.291

2.  Fine mapping of the region on wheat chromosome 7D controlling grain weight.

Authors:  Marion S Röder; Xiu-Qiang Huang; Andreas Börner
Journal:  Funct Integr Genomics       Date:  2007-06-07       Impact factor: 3.410

Review 3.  Using genomics to study legume seed development.

Authors:  Brandon H Le; Javier A Wagmaister; Tomokazu Kawashima; Anhthu Q Bui; John J Harada; Robert B Goldberg
Journal:  Plant Physiol       Date:  2007-06       Impact factor: 8.340

4.  QTL analysis for yield components and kernel-related traits in maize across multi-environments.

Authors:  Bo Peng; Yongxiang Li; Yang Wang; Cheng Liu; Zhizhai Liu; Weiwei Tan; Yan Zhang; Di Wang; Yunsu Shi; Baocheng Sun; Yanchun Song; Tianyu Wang; Yu Li
Journal:  Theor Appl Genet       Date:  2011-02-01       Impact factor: 5.699

5.  Fine mapping and candidate gene analysis of qhkw5-3, a major QTL for kernel weight in maize.

Authors:  Wenliang Li; Qinghe Bai; Weimin Zhan; Chenyu Ma; Shunyou Wang; Yuanyuan Feng; Mengdi Zhang; Ying Zhu; Ming Cheng; Zhangying Xi
Journal:  Theor Appl Genet       Date:  2019-06-11       Impact factor: 5.699

6.  Current perspectives and the future of domestication studies.

Authors:  Greger Larson; Dolores R Piperno; Robin G Allaby; Michael D Purugganan; Leif Andersson; Manuel Arroyo-Kalin; Loukas Barton; Cynthia Climer Vigueira; Tim Denham; Keith Dobney; Andrew N Doust; Paul Gepts; M Thomas P Gilbert; Kristen J Gremillion; Leilani Lucas; Lewis Lukens; Fiona B Marshall; Kenneth M Olsen; J Chris Pires; Peter J Richerson; Rafael Rubio de Casas; Oris I Sanjur; Mark G Thomas; Dorian Q Fuller
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-22       Impact factor: 11.205

7.  Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population.

Authors:  Mohammad Sharif Raihan; Jie Liu; Juan Huang; Huan Guo; Qingchun Pan; Jianbing Yan
Journal:  Theor Appl Genet       Date:  2016-05-06       Impact factor: 5.699

8.  Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.

Authors:  Ying Liu; Liwei Wang; Chuanlong Sun; Zuxin Zhang; Yonglian Zheng; Fazhan Qiu
Journal:  Theor Appl Genet       Date:  2014-02-20       Impact factor: 5.699

9.  Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability.

Authors:  Marco Maccaferri; Maria Corinna Sanguineti; Simona Corneti; José Luis Araus Ortega; Moncef Ben Salem; Jordi Bort; Enzo DeAmbrogio; Luis Fernando Garcia del Moral; Andrea Demontis; Ahmed El-Ahmed; Fouad Maalouf; Hassan Machlab; Vanessa Martos; Marc Moragues; Jihan Motawaj; Miloudi Nachit; Nasserlehaq Nserallah; Hassan Ouabbou; Conxita Royo; Amor Slama; Roberto Tuberosa
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

10.  Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.).

Authors:  Reddyyamini Bommisetty; Navajeet Chakravartty; Reddaiah Bodanapu; Jeevula B Naik; Sanjib K Panda; Sivarama P Lekkala; Krishna Lalam; George Thomas; S J Mallikarjuna; G R Eswar; Gopalakrishna M Kadambari; Swarajyalakshmi N Bollineni; Keerthi Issa; Srividhya Akkareddy; C Srilakshmi; K Hariprasadreddy; P Rameshbabu; P Sudhakar; Saurabh Gupta; V B R Lachagari; Lakshminarayana R Vemireddy
Journal:  Mol Biol Rep       Date:  2020-10-24       Impact factor: 2.316

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