Molecular Detection of Quantitative Trait Loci for Leaf Chlorophyll Content at Different Growth-Stages of Rice (Oryza sativa L.)

Zuo, Hailong; Xiao, Ke; Dong, Yanjun; Xu, Jianlong; Li, Zhikang; Luo, Lijun; Mei, Hanwei

doi:10.3923/ajps.2007.518.522

Cited by 8 publications

(1 citation statement)

References 12 publications

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“…Zhu 33 proposed a method to map conditional QTL using the net genetic effect between two time points to reveal the gene interactions and regulatory mechanisms of quantitative traits in crop development. Since then, conditional QTL mapping methods have been used to study the agronomic traits, such as root growth and seed vigour in rice 34,35 , plant height and protein content in wheat 36–38 , and dry matter accumulation in soybean 39 .…”

Section: Introductionmentioning

confidence: 99%

Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley

Wang

Sun

et al. 2019

Sci Rep

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Grain filling is an important growth process in formation of yield and quality for barley final yield determination. To explore the grain development behavior during grain filling period in barley, a high-density genetic map with 1962 markers deriving from a doubled haploid (DH) population of 122 lines was used to identify dynamic quantitative trait locus (QTL) for grain filling rate (GFR) and five grain size traits: grain area (GA), grain perimeter (GP), grain length (GL), grain width (GW) and grain diameter (GD). Unconditional QTL mapping is to detect the cumulative effect of genetic factors on a phenotype from development to a certain stage. Conditional QTL mapping is to detect a net effect of genetic factors on the phenotype at adjacent time intervals. Using unconditional, conditional and covariate QTL mapping methods, we successfully detected 34 major consensus QTLs. Moreover, certain candidate genes related to grain size, plant height, yield, and starch synthesis were identified in six QTL clusters, and individual gene was specifically expressed in different grain filling stages. These findings provide useful information for understanding the genetic basis of the grain filling dynamic process and will be useful for molecular marker-assisted selection in barley breeding.

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Section: Introductionmentioning

confidence: 99%