Chen Kang , Feng  Luo , Shoujun Sun

College of Agronomy & Resources and Environment, Tianjin Agricultural College, Tianjin, 300384
Author    Correspondence author
Molecular Plant Breeding, 2020, Vol. 11, No. 18   doi: 10.5376/mpb.2020.11.0018
Received: 10 Aug., 2020    Accepted: 24 Aug., 2020    Published: 24 Aug., 2020

This article was first published in Molecular Plant Breeding in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Kang C., Luo F., and Sun S.J., 2020, Research status and prospect of QTL mapping for tillers and other traits in forage sorghum, Molecular Plant Breeding, 11(18): 1-10 (doi: 10.5376/mpb.2020.11.0018)

Forage sorghum is an important raw material for winemaking and livestock feed. It has many excellent agronomic traits. Its genome-wide sequencing work has been completed. Molecular marker-assisted selection technology is widely used in sorghum breeding work. The number of genetic loci affecting the sorghum agronomic traits has been Be positioned. Tillering, as an important plant type trait, has an important influence on the physiological characteristics of sorghum, such as the tolerance, lodging resistance and light absorption efficiency. At present, considerable progress has been made in gene mapping of plant height, ear length, leaf morphology and other traits of forage sorghum. However, the progress of gene mapping for tillering is relatively slow due to the fact that tillering traits are easily affected by various factors. This study summarized the recent research progress of QTL mapping for tillering traits and other agronomic traits in sorghum, and proposed that some conserved sequences with high homology were retained during the evolution of different crop varieties, which proved that there was correlation between different traits of the same species. In sorghum breeding research, combining genetic engineering breeding with experimental statistics and quantitative genetics can better reveal the contribution of various factors to sorghum agronomic traits, improve breeding efficiency and reduce the loss of human and material resources.

Forage sorghum; Tillering; QTL mapping; Genetic trait correlation