|Table of Contents|

Genetic Model Analysis of Soybean 100-seed Weight Across Different Genetic Backgrounds(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2016年02期
Page:
193-200
Research Field:
Publishing date:

Info

Title:
Genetic Model Analysis of Soybean 100-seed Weight Across Different Genetic Backgrounds
Author(s):
LIU Yang;  WANG Yan;  ZHAN Yu-hang;  ZHAO Yue;  DU Xue;  HAN Ying-peng;  ZHAO Xue;  LI Wen-bin
（Agronomy College of Northeast Agricultural University / Key Laboratory of Soybean Biology in Chinese Ministry of Education / Key Laboratory of Soybean Biology and Breading / Genetics of Chinese Agricultural Ministry, Harbin 150030, China）
Keywords:
Soybean seed weight;  Different genetic background;  Genetic model
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2016.02.0193
Abstract:
This study analyzed the genetic model of soybean 100-seed weight across different genetic backgrounds, aims to provide an useful reference for understanding inheritance of soybean 100-seed weight and assist high-yield soybean breeding. In this study, a total of 3 recombinant inbred populations (140 F2∶12?recombinant inbred lines from the cross of ‘Hefeng 25’ and ‘Conrad’, 117 F2∶11 recombinant inbred lines from the cross of ‘Hefeng 25’ and ‘Maple Arrow’, and 144 F2∶12recombinant inbred lines from the cross of ‘Hefeng 25’ and ‘Bayfield’, respectively), derived from a common parent (‘Hefeng 25’), were used as materials.The major gene and polygene genetic system were used to analyze the genetic model of seed weight in those 3 populations in 2013 Harbin environment 100-seed weight of the population (‘Hefeng 25’בConrad’) was controlled by two major genes and polygenes, 100-seed weight of the population (‘Hefeng 25’בMaple Arrow’) was controlled by major genes and additive polygenes, while 100-seed weight of the population (‘Hefeng 25’בBayfield’) was controlled by two major genes and polygenes. These results showed that populations that had similar genetic backgrounds in same environment could display similar genetic models, which could be useful for further understanding the genetic law

References:

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Last Update: 2016-04-04