Genetic dissection of grain water content and dehydration rate related to mechanical harvest in maize

Author:

Liu Jianju,Yu Hui,Liu Yuanliang,Deng Suining,Liu Qingcai,Liu Baoshen,Xu Mingliang

Abstract

Abstract Background The low grain water content (GWC) at harvest is a prerequisite to mechanical harvesting in maize, or otherwise would cause massive broken kernels and increase drying costs. The GWC at harvest in turn depends on GWC at the physiological maturity (PM) stage and grain dehydration rate (GDR). Both GWC and GDR are very complex traits, governed by multiple quantitative trait loci (QTL) and easily influenced by environmental conditions. So far, a number of experiments have been conducted to reveal numbers of GWC and GDR QTL, however, very few QTL have been confirmed, and no QTL has been fine-mapped or even been cloned. Results We demonstrated that GWCs after PM were positively correlated with GWC at PM, whereas negatively with GDRs after PM. With a recombinant inbred line (RIL) population, we identified totally 31 QTL related to GWC and 17 QTL related to GDR in three field trials. Seven GWC QTL were consistently detected in at least two of the three field trials, each of which could explain 6.92–24.78% of the total GWC variation. Similarly, one GDR QTL was consistently detected, accounting for 9.44–14.46% of the total GDR variation. Three major GWC QTL were found to overlap with three GDR QTL in bins 1.05/06, 2.06/07, and 3.05, respectively. One of the consistent GWC QTL, namely qGwc1.1, was fine-mapped from a 27.22 Mb to a 2.05 Mb region by using recombinant-derived progeny test. The qGwc1.1 acted in a semi-dominant manner to reduce GWC by 1.49–3.31%. Conclusions A number of consistent GWC and GDR QTL have been identified, and one of them, QTL-qGwc1.1, was successfully refined into a 2.05 Mb region. Hence, it is realistic to clone the genes underlying the GWC and GDR QTL and to make use of them in breeding of maize varieties with low GWC at harvest.

Funder

the National Natural Science Foundation of China

National Key Technology Research and Development Program of the Ministry of Science and Technology of China

Publisher

Springer Science and Business Media LLC

Subject

Plant Science

Reference80 articles.

1. Liu FH, Wang KR, Jian L, Wang XM, Sun YL, Chen YS, Wang YH, Han DS, Li SK. Factors affecting corn mechanically harvesting grain quality. Crops. 2013;4:116–9.

2. Geng A, Yang J, Zhang Z, Ji Z, Li R, University SA. Discuss about the current situation and future of corn harvest machinery about domestic and abroad. J Agric Mechanization Res. 2016;38:251–7. (in Chinese).

3. Ma J, Liu HT, WR L. Research on key techniques of reducing grain water content in maize at harvest. Agric Technol. 2016;36:29–30. (in Chinese).

4. Capelle V, Remoué C, Moreau L, Reyss A, Mahé A, Massonneau A, Falque M, Charcosset A, Thévenot C, Rogowsky P, Coursol S, Prioul JL. QTLs and candidate genes for desiccation and abscisic acid content in maize kernels. BMC Plant Biol. 2010;10:2.

5. Baute T, Hayes A, McDonald I, Reid K. Agronomy guide for field crops. In: Brown C, Follings J, Moran M, Rosser B, editors. The Ontario Ministry of Agriculture, Food and Rural Affairs, Queens Printer for Ontario. Toronto: Publication 811; 2002. p. 31–4.

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