Genetic Dissection of Yield-Related Traits in a Set of Maize Recombinant Inbred Lines Under Multiple Environments

Agronomic advancements have led to significant increases in maize yield per hectare in Northeast China, primarily through improved density tolerance. However, the genetic mechanism underlying grain yield responses to density stress remains poorly understood. Here, a population of 193 recombinant inbred lines (RILs) derived from the cross between ZM058 and PH1219 was employed to identify quantitative trait loci (QTLs) under two planting densities across three locations over two years. Six yield-related traits were investigated: ear tip-barrenness length (BEL), cob diameter (CD), ear diameter (ED), ear length (EL), kernel number per row (KNR), and kernel row number (KRN). These traits exhibited distinct and divergent responses to density stress, with the values of CD, ED, EL, KNR and KRN decreasing as planting density increased, except for BEL. A total of 81 QTLs were identified for these traits: 39 were unique to low planting density, 22 to high planting density, and 20 were shared across both conditions. Additionally, nine QTL clusters implicated in the development of multiple traits were detected. The results indicate that planting density significantly affects yield traits, primarily through the interaction of numerous minor QTLs with multiple effects. This insight enhances our understanding of the genetic basis of yield-related traits and provides valuable guidance for breeding high-density-tolerant varieties.

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Publication Details

Journal
Agronomy
Published
2025-09-01
DOI
https://doi.org/10.3390/agronomy15092109
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
0.00

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article

Genetic Dissection of Yield-Related Traits in a Set of Maize Recombinant Inbred Lines Under Multiple Environments

Kaijian Fan, Zhongmin Han, Weiwei Zeng, A. Tai et al.
Agronomy
Crop Yield and Soil Fertility
article

Genetic Dissection of Yield-Related Traits in a Set of Maize Recombinant Inbred Lines Under Multiple Environments

Kaijian Fan, Zhongmin Han, Weiwei Zeng, A. Tai, Yuncai Lu, Dequan Sun, Jin Xiao-chun, Jingang Qi, Fengyu Wang, Yuan Xu, Lin Li, Liang Li, Yuan Li, Rui Wang, Jinsheng Fan, Jiawei Shang
article en

Abstract

Agronomic advancements have led to significant increases in maize yield per hectare in Northeast China, primarily through improved density tolerance. However, the genetic mechanism underlying grain yield responses to density stress remains poorly understood. Here, a population of 193 recombinant inbred lines (RILs) derived from the cross between ZM058 and PH1219 was employed to identify quantitative trait loci (QTLs) under two planting densities across three locations over two years. Six yield-related traits were investigated: ear tip-barrenness length (BEL), cob diameter (CD), ear diameter (ED), ear length (EL), kernel number per row (KNR), and kernel row number (KRN). These traits exhibited distinct and divergent responses to density stress, with the values of CD, ED, EL, KNR and KRN decreasing as planting density increased, except for BEL. A total of 81 QTLs were identified for these traits: 39 were unique to low planting density, 22 to high planting density, and 20 were shared across both conditions. Additionally, nine QTL clusters implicated in the development of multiple traits were detected. The results indicate that planting density significantly affects yield traits, primarily through the interaction of numerous minor QTLs with multiple effects. This insight enhances our understanding of the genetic basis of yield-related traits and provides valuable guidance for breeding high-density-tolerant varieties.

AgronomyVol. 15(9)
Heilongjiang Academy of Sciences (CN), Heilongjiang Provincial Academy of Agricultural Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Crop Sciences (CN), Heilongjiang Academy of Agricultural Machinery Engineering (CN), China Agricultural University (CN), Heilongjiang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 69%
Crop Yield and Soil Fertility
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