Mapping QTLs related to rice seed storability under natural and artificial aging storage conditions

Hang, Ngo Thi; Lin, Qinlu; Liu, Linglong; Liu, Xi; Liu, Shijia; Wang, Wenyan; Li, Linfang; He, Ning; Zhou, Lei; Jiang, Ling; Wan, Jianmin

doi:10.1007/s10681-014-1304-0

Cited by 37 publications

(36 citation statements)

References 16 publications

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“…Two of these QTL were detected more than once under both natural and artificial aging treatments. Four other QTL were detected once under natural aging conditions and seven QTL were detected once under artificial aging conditions [19].…”

Section: Abstract: Maize; Seed Storability; Ssr Markers; Qtl Analysismentioning

confidence: 98%

Development of SSR markers related to seed storability traits in maize subjected to artificial seed aging conditions

Guo

Gong

Liu

et al. 2019

Preprint

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Seed storability is an important and complex agronomic trait in maize because annual seed production considerably exceeds consumption. The viability of seeds decreases over time, even when stored at low temperature, until seeds finally lose viability. In our previous study, two inbred lines with significantly different storability, Dong156 with high storage tolerance and Dong237 with low storage tolerance, were selected over six years using a natural seed aging test. In the present study, an F2:3 population and a RIL (recombinant inbred line) population were constructed from these two inbred lines and used to map QTL (quantitative trait loci) with SSR (simple sequence repeat) markers. A phenotypic index of traits related to seed storability that includes germination rate, germination potential, a germination index, a vigor index, seedling weight, and seedling length was generated using the results of an artificial aging treatment. Two consistent regions, cQTL-7 on chromosome 7 and cQTL-10 on chromosome 10, were identified by comparing QTL analysis results from these two populations. After

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Section: Abstract: Maize; Seed Storability; Ssr Markers; Qtl Analysismentioning

confidence: 98%

Development of SSR markers related to seed storability traits in maize subjected to artificial seed aging conditions

Guo

Gong

Liu

et al. 2019

Preprint

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“…DNA from the F 2 population and parental lines (Xiang743 and 'Katy') was extracted using the CTAB method as described by Liu et al (2015). In the RHL1000-derived F 2 population, six SSR markers, including the one newly added marker (RM38) and five originally existing markers (RM310, RM72, RM331, RM404 and RM339), in the heterozygous region on chromosome 8 and 5 SSR markers (RM5095, RM7492, RM474, RM25121 and RM311) in the heterozygous region on chromosome 10 were genotyped to construct segmental maps.…”

Section: Extraction Of Dnas and Ssr Markersmentioning

confidence: 99%

“…Hang et al. () detected 13 QTLs from a BIL population derived from the backcross Sasanishiki/Habataki//Sasanishiki. Li et al.…”

Section: Introductionmentioning

confidence: 99%

“…The advent of molecular markers makes genetic dissection of seed longevity possible. To date, more than twenty QTLs associated with seed longevity have been identified using different populations derived from the crossing of subspecies (Hang et al, 2015;Li et al, 2012Li et al, , 2017Lin et al, 2015a;Miura, Lin, Yano, & Nagamine, 2002;Sasaki, Fukuta, & Sato, 2005;Xue et al, 2008). Miura et al (2002 used backcross inbred lines (BILs) derived from a cross between Nipponbare and Kasalath to identify three QTLs.…”

Section: Introductionmentioning

confidence: 99%

“…Sasaki et al (2005) detected 11 QTLs using a recombinant inbred line (RIL) population derived from the cross between Miyang23 and Akihikari. Hang et al (2015) detected 13 QTLs from a BIL population derived from the backcross Sasanishiki/Habataki//Sasanishiki. Li et al (2012) used a BIL population derived from the backcross Koshihikari/Kasalath//Koshihikari to map six QTLs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detection and validation of QTLs associated with seed longevity in rice (Oryza sativa L.)

Liu

Pan

et al. 2018

Plant Breeding

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Seed longevity in rice is a major determinant in seed production and germplasm preservation. In this paper, a recombinant inbred line (RIL) population consisting of 172 lines derived from the cross between Xiang743 and ‘Katy’ was used to map quantitative trait loci (QTLs) for seed longevity (SL) after seed storage for 18 and 30 months under ambient conditions. Two putative QTLs, qSL‐2 and qSL‐8, were detected and located on chromosomes 2 and 8, respectively. qSL‐2 is an allele from Xiang743 allele and increases seed longevity. qSL‐8 was a novel QTL from ‘Katy’ allele and increases seed longevity. qSL‐8 explained 15.29% and 17.35% of the phenotypic variance after seed storage for 18 and 30 months, respectively. Furthermore, qSL‐8 was validated in a secondary population developed by self‐pollination of a residual heterozygous line (RHL) selected from the RIL population, which explained 25.93% of the phenotypic contribution. These results provide an opportunity for map‐based cloning of qSL‐8. Furthermore, qSL‐8 may be a target for improving seed longevity by marker‐assisted selection (MAS) in rice.

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GmAOC4 modulates seed germination by regulating JA biosynthesis in soybean

Zhang

et al. 2021

Theor Appl Genet

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Mapping QTLs related to rice seed storability under natural and artificial aging storage conditions

Cited by 37 publications

References 16 publications

Development of SSR markers related to seed storability traits in maize subjected to artificial seed aging conditions

Development of SSR markers related to seed storability traits in maize subjected to artificial seed aging conditions

Detection and validation of QTLs associated with seed longevity in rice (Oryza sativa L.)

GmAOC4 modulates seed germination by regulating JA biosynthesis in soybean

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