Article Abstract

Volume 31, No. (6), 2021 (December)
RECOGNITIONOFQTL FOR SEED PROTEIN AND OIL CONTENT IN TWO SOYBEAN RECOMBINAT INBRED LINES POPULATIONS
A. Kaleri1,2, L. Li3, Y. Zhang3, W. Liu3, C Jiang3, Y. Zhang3, C. Liu3, A. H. Kaleri4, M. M. Nizamani4, A. Mehmood5, S. Bahadur6, W-X. Li1and H. Ning1,3

1Key Laboratory of Soybean Biology in Chinese Education Ministry, Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Agricultural Ministry, Soybean research Institute, Agronomy College, Northeast Agricultural University, Harbin 150030, China

2Department of Agronomy Faculty of Crop Production, Sindh Agriculture University Tando Jam, Pakistan

3Heilongjiang Government Affairs Big Data Center, Harbin, Heilongjiang, 150028, China

4Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou 570228, China;

5School of medicine, Southeast University, Nanjing, China

6College of Forestry, Hainan University, Haikou, China

Page Number(s): 1669-1685
Published Online First: March 31, 2021
Publication Date: November 20, 2021
ABSTRACT

Enhancing protein and oil amounts in soybean seed is one of the main objectives of breeding programs. The aim of this study was to identify quantitative trait loci (QTLs) responsible for protein and oil contents in two recombinant inbred lines (RILs) of soybean. Genotyping of the RIL3613 (Dongnong L13×Heihe 36) and RIL6013 (Dongnong L13×Henong 60) populations was performed using simple sequence repeat markers (SSRs), respectively. Phenotypic data for protein and oil contents in both populations were collected in three different environments. The results indicated wide variations across the lines and among different environments in protein and oil contents, with statistical significance. Nine and five QTLs responsible for protein and oil contents, respectively, explained 6.4515%-13.0368% and 5.7236%-17.7396% of the overall phenotypic variations. Of the detected QTLs, one was previously unknown. These QTLs would be very valuable for breeding soybean with improved nutritional quality.

Keywords: Soybean, Protein content, Oil content, Association mapping population, QTL

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Journal Impact Factor: 0.5 | (JCR Year: 2025) | Cite Score: 1.3

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Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

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