scholarly journals Quantitative Trait Locus Mapping for Drought Tolerance in Soybean Recombinant Inbred Line Population

Plants ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1816
Author(s):  
Sanjeev Kumar Dhungana ◽  
Ji-Hee Park ◽  
Jae-Hyeon Oh ◽  
Beom-Kyu Kang ◽  
Jeong-Hyun Seo ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Reproductive Traits ◽  
Snp Markers ◽  
Yield Reduction ◽  
Phenotypic Variance ◽  
Potential Candidate

Improving drought stress tolerance of soybean could be an effective way to minimize the yield reduction in the drought prevailing regions. Identification of drought tolerance-related quantitative trait loci (QTLs) is useful to facilitate the development of stress-tolerant varieties. This study aimed to identify the QTLs for drought tolerance in soybean using a recombinant inbred line (RIL) population developed from the cross between a drought-tolerant ‘PI416937’ and a susceptible ‘Cheonsang’ cultivar. Phenotyping was done with a weighted drought coefficient derived from the vegetative and reproductive traits. The genetic map was constructed using 2648 polymorphic SNP markers that distributed on 20 chromosomes with a mean genetic distance of 1.36 cM between markers. A total of 10 QTLs with 3.52–4.7 logarithm of odds value accounting for up to 12.9% phenotypic variance were identified on seven chromosomes. Five chromosomes—2, 7, 10, 14, and 20—contained one QTL each, and chromosomes 1 and 19 harbored two and three QTLs, respectively. The chromosomal locations of seven QTLs overlapped or located close to the related QTLs and/or potential candidate genes reported earlier. The QTLs and closely linked markers could be utilized in maker-assisted selection to accelerate the breeding for drought tolerance in soybean.

Mapping quantitative trait loci of Meloidogyne graminicola resistance and tolerance in a recombinant inbred line population of Oryza glaberrima × O. sativa

Nematology ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 401-417 ◽  
Author(s):  
Judith Galeng Lawilao ◽  
B.P. Mallikarjuna Swamy ◽  
Arvind Kumar ◽  
Ma. Teodora Nadong Cabasan ◽  
Dirk De Waele
Keyword(s):  
Quantitative Trait Loci ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Yield Reduction ◽  
Oryza Glaberrima ◽  
Root Weight ◽  
Meloidogyne Graminicola ◽  
Trait Loci

Summary Host response of BC2F3 recombinant inbred line (RIL) population derived from a cross between African rice (CG14) and Asian rice (IR64) genotypes was evaluated in the field and quantitative trait loci (QTLs) that confer resistance and tolerance to Meloidogyne graminicola were mapped using SSR markers. Of the 155 BC2F3 progenies evaluated, 23 were resistant and six were partially resistant based on the number of second-stage juveniles (J2) per root system and J2 per g roots. Based on yield reduction, 23 progenies were identified as tolerant and 14 were less sensitive to M. graminicola infection. QTLs related to resistance were detected on chromosomes 6, 7 and 12. QTL for tolerance linked to percentage yield reduction was mapped on chromosome 5. QTLs linked to fresh root weight, dry root weight, dry shoot weight, percentage filled grains per panicle and yields were also mapped. QTLs identified will be useful in a breeding programme to develop M. graminicola-resistant and tolerant rice cultivars.

Quantitative trait loci mapping of Meloidogyne incognita and M. hapla resistance in a recombinant inbred line population of soybean

Nematology ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 525-537
Author(s):  
Chunjie Li ◽  
Jialin Wang ◽  
Jia You ◽  
Xinpeng Wang ◽  
Baohui Liu ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Meloidogyne Incognita ◽  
Qtl Analysis ◽  
Recombinant Inbred Line Population ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Nematode Reproduction ◽  
Root Response

Summary A recombinant inbred line population of soybean (Glycine max) was utilised to identify the quantitative trait loci (QTLs) determining the response to infection by two root-knot nematode species, Meloidogyne incognita and M. hapla, in glasshouse assays. QTL analysis detected seven major and four minor QTLs on seven soybean chromosomes ((Chrs) 1, 7, 8, 10, 14, 18, 20) explaining 6-41% phenotypic variance (PVE) for M. incognita root response and nematode reproduction. Three of the major QTLs, on Chrs 7, 10 and 18, were confirmed in previous reports and two major QTLs on Chrs 14 and 20 were detected for the first time. The QTL analysis with M. hapla provides the first report of a major QTL region mapped on Chr 7, explaining 70-82% PVE in M. hapla root response and nematode reproduction. These novel identified QTLs with flanking markers will be helpful in marker-assisted breeding for nematode resistance in soybean.

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