Literature DB >> 17469785

Analysis of the conditional correlations from different genetic systems between the protein content and the appearance quality traits of indica rice.

Guoke Ge1, Xi Zheng, Jianguo Wu, Zihong Ye, Chunhai Shi.   

Abstract

A factorial mating design in two environments was conducted using 7 cytoplasmic male sterile lines (A) and 5 restorer lines (R) along with their F(1) (A x R) and F(2) populations. The unconditional and conditional analyses of genetic models and the corresponding statistic methods, including endospermic, cytoplasmic, and maternal plant genetic systems, were used to analyze the genetic relationships between protein content (PC) and the appearance quality traits of indica rice (Oryza sativa L.). The results from unconditional analysis indicated that PC was significantly correlated with the appearance quality traits of rice, except for the brown rice thickness (BRT). Only the genetic covariance between PC and the brown rice width (BRW) was positively correlative, whereas all the other pairwise traits were negatively correlative. The results from conditional analysis revealed that the weight of brown rice (WBR) or the amylose content (AC) could significantly affect the relationships between PC and the appearance quality traits of indica rice. The conditional analysis showed that WBR might negatively affect the relationships between PC and the brown rice length (BRL), BRW, or BRT through the genotype x environmental (GE) interaction effects, but positively affected the relationships between PC and the ratio of brown rice length to width (RLW) or the ratio of brown rice length to thickness (RLT). The amylase content could positively affect the relationships between PC and BRL, RLW, RLT through the cytoplasmic effects and maternal additive effects, but negatively affected the relationships between PC and BRW.

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Year:  2007        PMID: 17469785     DOI: 10.1016/S1673-8527(07)60014-9

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  2 in total

1.  Detecting relationships between amylose content and amino acid contents of indica rice with conditional approach.

Authors:  Chun Hai Shi; Qiong Qiong Zhu; Ke Ming Wang; Guo Ke Ge; Jian Guo Wu; Zhen Ghao Xu
Journal:  J Genet       Date:  2010-04       Impact factor: 1.166

2.  Discrimination of Transgenic Canola (Brassica napus L.) and their Hybrids with B. rapa using Vis-NIR Spectroscopy and Machine Learning Methods.

Authors:  Soo-In Sohn; Subramani Pandian; John-Lewis Zinia Zaukuu; Young-Ju Oh; Soo-Yun Park; Chae-Sun Na; Eun-Kyoung Shin; Hyeon-Jung Kang; Tae-Hun Ryu; Woo-Suk Cho; Youn-Sung Cho
Journal:  Int J Mol Sci       Date:  2021-12-25       Impact factor: 5.923

  2 in total

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