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 inPlant breeding Vol. 136; no. 1; pp. 28 - 32
Main Authors Song, Wei, Shi, Zi, Xing, Jinfeng, Duan, Minxiao, Su, Aiguo, Li, Chunhui, Zhang, Ruyang, Zhao, Yanxin, Luo, Meijie, Wang, Jidong, Zhao, Jiuran, Lübberstedt, T.
Format Journal Article
LanguageEnglish
Published Berlin Wiley Subscription Services, Inc 01.02.2017
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ISSN0179-9541
1439-0523
DOI10.1111/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.
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
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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
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fpbr.12430
https://www.proquest.com/docview/1860952042
https://www.proquest.com/docview/1868305533
https://www.proquest.com/docview/2000535267
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