Abstract

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.

Highlights

  • Grain filling is an important growth process in formation of yield and quality for barley final yield determination

  • Comparing the consensus quantitative trait locus (QTL) for grain filling rate and grain size traits detected by the five QTL mapping methods, we identified 34 major consensus QTLs, including 2, 4, 7, 9, 5, 5, 1 and 1 consensus QTLs for GFR, grain area (GA), grain perimeter (GP), grain length (GL), grain width (GW), grain diameter (GD), GFRmax and GFRmean, respectively (Table 4)

  • Many studies have reported that genetic difference in grain yield was related to difference in GFR in barley[7,9,10]

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Summary

Introduction

Grain filling is an important growth process in formation of yield and quality for barley final yield determination. Conditional and covariate QTL mapping methods, we successfully detected 34 major consensus QTLs. certain candidate genes related to grain size, plant height, yield, and starch synthesis were identified in six QTL clusters, and individual gene was expressed in different grain filling stages. Certain candidate genes related to grain size, plant height, yield, and starch synthesis were identified in six QTL clusters, and individual gene was 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. At the end of the linear growth period, the grain weight increases slowly, and the GFR decreases significantly, reaching the maturity period[21] The environment such as temperature and humidity affects GFR during the filling process, genotype is still the main factor affecting GFR7,22. 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[36,37,38], and dry matter accumulation in soybean[39]

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