Sovetgul Asekova
Kyungpook National University
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Featured researches published by Sovetgul Asekova.
Plant breeding and biotechnology | 2014
Sovetgul Asekova; J. Grover Shannon; Jeong-Dong Lee
Soybeans have a long history as a nutritious hay and silage crop. Early research extensively investigated forage yield, adaptability to various maturity zones, and nutritional values. Evaluation and breeding with diverse soybean accessions continued to optimize soybean forage yield and quality. There is still interest by breeders in developing more desirable forage soybeans, depending on market demand, and the existing interests of crop and livestock producers. In this review, we provide an update compiled from recent publications on the use and development of soybean as a forage crop.
Crop & Pasture Science | 2017
Krishnanand P. Kulkarni; Sovetgul Asekova; Dong-Ho Lee; Kristin D. Bilyeu; Jong Tae Song; Jeong-Dong Lee
Abstract. Seed weight can be an important component for soybean quality and yield. The objective of the present study was to identify quantitative trait loci (QTLs) for 100-seed weight by using 169 recombinant inbred lines (RILs) derived from the cross Williams 82 × PI 366121. The parental lines and RILs were grown for four consecutive years (2012–15) in the field. The seeds were harvested after maturity, dried and used to measure 100-seed weight. Analysis of variance indicated significant differences among the RILs for 100-seed weight. The environment had significant effect on seed-weight expression as indicated by the genotype × environment interaction. QTL analysis employing inclusive composite interval mapping of additive QTLs implemented in QTL IciMapping (Version 4.1) identified nine QTLs (LOD >3) on chromosomes 1, 2, 6, 8, 13, 14, 17 and 20. The individual QTLs explained phenotypic variation in the range 6.1–12.4%. The QTLs were detected in one or two environments, indicating major influence of the growing environment on seed-weight expression. Four QTLs identified in this study, qSW-02_1, qSW-06_1, qSW-13_1 and qSW-14_1, were found to be new QTLs. The findings of the study may be helpful to reveal the molecular genetic basis of the seed-weight trait in soybean.
Frontiers in Plant Science | 2018
Krishnanand P. Kulkarni; Rupesh Tayade; Sovetgul Asekova; Jong Tae Song; J. Grover Shannon; Jeong-Dong Lee
Substantial improvements in access to food and increased purchasing power are driving many people toward consuming nutrition-rich foods causing an unprecedented demand for protein food worldwide, which is expected to rise further. Forage legumes form an important source of feed for livestock and have potential to provide a sustainable solution for food and protein security. Currently, alfalfa is a commercially grown source of forage and feed in many countries. However, soybean and cowpea also have the potential to provide quality forage and fodder for animal use. The cultivation of forage legumes is under threat from changing climatic conditions, indicating the need for breeding cultivars that can sustain and acclimatize to the negative effects of climate change. Recent progress in genetic and genomic tools have facilitated the identification of quantitative trait loci and genes/alleles that can aid in developing forage cultivars through genomics-assisted breeding. Furthermore, transgenic technology can be utilized to manipulate the genetic makeup of plants to improve forage digestibility for better animal performance. In this article, we assess the genetic potential of three important legume crops, alfalfa, soybean, and cowpea in supplying quality fodder and feed for livestock. In addition, we examine the impact of climate change on forage quality and discuss efforts made in enhancing the adaptation of the plant to the abiotic stress conditions. Subsequently, we suggest the application of integrative approaches to achieve adequate forage production amid the unpredictable climatic conditions.
Euphytica | 2014
Sovetgul Asekova; Jong-Hyun Chae; Bo-Keun Ha; Krishna Hari Dhakal; Guyhwa Chung; J. G. Shannon; Jeong-Dong Lee
Turkish Journal of Agriculture and Forestry | 2016
Sovetgul Asekova; Sang-Ik Han; Hong-Jib Choi; Sang-jo Park; Dong-Hyun Shin; Chan-Ho Kwon; J. Grover Shannon; Jeong Dong Lee
Molecular Breeding | 2016
Sovetgul Asekova; Krishnanand P. Kulkarni; Gunvant Patil; Minsu Kim; Jong Tae Song; Henry T. Nguyen; J. Grover Shannon; Jeong Dong Lee
Euphytica | 2015
Hyun-Jee Kim; Bo-Keun Ha; Keon-Soo Ha; Jong-Hyun Chae; Ji-Ho Park; Minsu Kim; Sovetgul Asekova; J. Grover Shannon; Chang-Ki Son; Jeong-Dong Lee
Crop Science | 2016
Sovetgul Asekova; Krishnanand P. Kulkarni; Minsu Kim; Jeong-Hwa Kim; Jong Tae Song; J. Grover Shannon; Jeong-Dong Lee
Korean Journal of Agricultural Science | 2016
James Mugisha; Sovetgul Asekova; Krishnanand P. Kulkarni; Cheol Woo Park; Jeong-Dong Lee
한국작물학회 학술발표대회 논문집 | 2012
Sovetgul Asekova; Ju-Eun Park; Bo-Keun Ha; Guyhwa Chung; J. Grover Shannon; Jeong-Dong Lee