Molecular mapping of quantitative trait loci for grain moisture at harvest in maize
In maize, high grain moisture (GM) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing. Understanding the genetic basis of GM will be useful for breeding low‐GM varieties. A quantitative genetics approach was used to identify quantitative tr...
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Published in | Plant breeding Vol. 136; no. 1; pp. 28 - 32 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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01.02.2017
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ISSN | 0179-9541 1439-0523 |
DOI | 10.1111/pbr.12430 |
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Abstract | In maize, high grain moisture (GM) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing. Understanding the genetic basis of GM will be useful for breeding low‐GM varieties. A quantitative genetics approach was used to identify quantitative trait loci (QTL) related to GM at harvest in field‐grown maize. The GM of a double haploid population consisting of 240 lines derived from Xianyu335 was evaluated in three planting seasons and a high‐density genetic linkage map covering 1546.4 cM was constructed. The broad‐sense heritability of GM at harvest was 71.0%. Using composite interval mapping, six QTL for GM at harvest were identified on five chromosomes (Chr). Two QTL located on Chr1, qgm1‐1 and qgm1‐2, explained 5.0% and 10.8% of the phenotypic variation in GM at harvest, respectively. The QTL qgm2, qgm3, qgm4 and qgm5 accounted for 3.3%, 8.3%, 5.4% and 11.0% of the mean phenotypic variation, respectively. Because of their consistent detection over multiple planting seasons, the detected QTL appear to be robust and reliable for the breeding of low‐GM varieties. |
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AbstractList | In maize, high grain moisture (
GM
) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing. Understanding the genetic basis of
GM
will be useful for breeding low‐
GM
varieties. A quantitative genetics approach was used to identify quantitative trait loci (
QTL
) related to
GM
at harvest in field‐grown maize. The
GM
of a double haploid population consisting of 240 lines derived from Xianyu335 was evaluated in three planting seasons and a high‐density genetic linkage map covering 1546.4 cM was constructed. The broad‐sense heritability of
GM
at harvest was 71.0%. Using composite interval mapping, six
QTL
for
GM
at harvest were identified on five chromosomes (Chr). Two
QTL
located on Chr1,
qgm1‐1
and
qgm1‐2
, explained 5.0% and 10.8% of the phenotypic variation in
GM
at harvest, respectively. The
QTL
qgm2
,
qgm3
,
qgm4
and
qgm5
accounted for 3.3%, 8.3%, 5.4% and 11.0% of the mean phenotypic variation, respectively. Because of their consistent detection over multiple planting seasons, the detected
QTL
appear to be robust and reliable for the breeding of low‐
GM
varieties. In maize, high grain moisture (GM) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing. Understanding the genetic basis of GM will be useful for breeding low‐GM varieties. A quantitative genetics approach was used to identify quantitative trait loci (QTL) related to GM at harvest in field‐grown maize. The GM of a double haploid population consisting of 240 lines derived from Xianyu335 was evaluated in three planting seasons and a high‐density genetic linkage map covering 1546.4 cM was constructed. The broad‐sense heritability of GM at harvest was 71.0%. Using composite interval mapping, six QTL for GM at harvest were identified on five chromosomes (Chr). Two QTL located on Chr1, qgm1‐1 and qgm1‐2, explained 5.0% and 10.8% of the phenotypic variation in GM at harvest, respectively. The QTL qgm2, qgm3, qgm4 and qgm5 accounted for 3.3%, 8.3%, 5.4% and 11.0% of the mean phenotypic variation, respectively. Because of their consistent detection over multiple planting seasons, the detected QTL appear to be robust and reliable for the breeding of low‐GM varieties. In maize, high grain moisture (GM) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing. Understanding the genetic basis of GM will be useful for breeding low-GM varieties. A quantitative genetics approach was used to identify quantitative trait loci (QTL) related to GM at harvest in field-grown maize. The GM of a double haploid population consisting of 240 lines derived from Xianyu335 was evaluated in three planting seasons and a high-density genetic linkage map covering 1546.4 cM was constructed. The broad-sense heritability of GM at harvest was 71.0%. Using composite interval mapping, six QTL for GM at harvest were identified on five chromosomes (Chr). Two QTL located on Chr1, qgm1-1 and qgm1-2, explained 5.0% and 10.8% of the phenotypic variation in GM at harvest, respectively. The QTL qgm2, qgm3, qgm4 and qgm5 accounted for 3.3%, 8.3%, 5.4% and 11.0% of the mean phenotypic variation, respectively. Because of their consistent detection over multiple planting seasons, the detected QTL appear to be robust and reliable for the breeding of low-GM varieties. In maize, high grain moisture (GM) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing. Understanding the genetic basis of GM will be useful for breeding low-GM varieties. A quantitative genetics approach was used to identify quantitative trait loci (QTL) related to GM at harvest in field-grown maize. The GM of a double haploid population consisting of 240 lines derived from Xianyu335 was evaluated in three planting seasons and a high-density genetic linkage map covering 1546.4 cM was constructed. The broad-sense heritability of GM at harvest was 71.0%. Using composite interval mapping, six QTL for GM at harvest were identified on five chromosomes (Chr). Two QTL located on Chr1, qgm1-1 and qgm1-2, explained 5.0% and 10.8% of the phenotypic variation in GM at harvest, respectively. The QTLqgm2,qgm3,qgm4 and qgm5 accounted for 3.3%, 8.3%, 5.4% and 11.0% of the mean phenotypic variation, respectively. Because of their consistent detection over multiple planting seasons, the detected QTL appear to be robust and reliable for the breeding of low-GM varieties. |
Author | Xing, Jinfeng Lübberstedt, T. Zhao, Jiuran Zhao, Yanxin Li, Chunhui Zhang, Ruyang Song, Wei Wang, Jidong Luo, Meijie Shi, Zi Duan, Minxiao Su, Aiguo |
Author_xml | – sequence: 1 givenname: Wei surname: Song fullname: Song, Wei organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 2 givenname: Zi surname: Shi fullname: Shi, Zi organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 3 givenname: Jinfeng surname: Xing fullname: Xing, Jinfeng organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 4 givenname: Minxiao surname: Duan fullname: Duan, Minxiao organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 5 givenname: Aiguo surname: Su fullname: Su, Aiguo organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 6 givenname: Chunhui surname: Li fullname: Li, Chunhui organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 7 givenname: Ruyang surname: Zhang fullname: Zhang, Ruyang organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 8 givenname: Yanxin surname: Zhao fullname: Zhao, Yanxin organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 9 givenname: Meijie surname: Luo fullname: Luo, Meijie organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 10 givenname: Jidong surname: Wang fullname: Wang, Jidong organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 11 givenname: Jiuran surname: Zhao fullname: Zhao, Jiuran email: maizezhao@126.com organization: Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding – sequence: 12 givenname: T. surname: Lübberstedt fullname: Lübberstedt, T. |
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Cites_doi | 10.1093/genetics/149.1.383 10.1007/s11032-013-0003-1 10.2135/cropsci1995.0011183X003500050009x 10.1071/BI9560463 10.2135/cropsci1994.0011183X003400020016x 10.1007/s00122-005-0146-5 10.3724/SP.J.1006.2013.00455 10.2135/cropsci1994.0011183X003400040010x 10.1007/s11032-015-0335-0 10.2135/cropsci1971.0011183X001100040014x 10.1186/s12864-015-1531-3 10.2135/cropsci2005.0114a 10.1007/s10681-011-0614-8 10.1186/1471-2156-3-19 10.1371/journal.pone.0054985 10.2135/cropsci2000.40130x 10.1007/s12041-011-0036-3 10.2135/cropsci1971.0011183X001100020020x 10.1073/pnas.151244298 |
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Snippet | In maize, high grain moisture (GM) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing.... In maize, high grain moisture ( GM ) at harvest causes problems in harvesting, threshing, artificial drying, storage, transportation and processing.... |
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SubjectTerms | breeding chromosome mapping Chromosomes Corn doubled haploids drying Gene mapping Genetics Grain grain moisture Harvesting heritability maize phenotypic variation Phenotypic variations planting Planting season QTL mapping quantitative trait loci SNP transportation Zea mays |
Title | Molecular mapping of quantitative trait loci for grain moisture at harvest in maize |
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