Review: Recent advances in unraveling the genetic architecture of kernel row number in maize.

Plant Sci

Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan 65000, China. Electronic address:

Published: December 2024

Kernel row number (KRN) is an important trait in maize that significantly impacts maize yield. The high heritability of KRN underscores its significance in maize breeding programs. In this review, we summarize recent advances in understanding the mechanisms underlying the formation, differentiation, and regulation of KRN in maize. Specifically, we have discussed gene mapping studies, functional validation of KRN-associated genes, and the application of gene editing techniques to KRN in maize. We summarized the various methods used to map and fine-map QTLs controlling KRN and provide an overview of the current status of cloned KRN-regulating genes. Despite the identification of many genes associated with KRN, the complexity of its regulation-arising from multiple loci and intricate gene interactions-remains a challenge. Balancing KRN with kernel number per row (KNR) and kernel weight is critical for optimizing yield while ensuring stability across different environments. Furthermore, we analyzed the influence of environmental factors on KRN, noting that despite its high heritability, environmental conditions can significantly affect this trait. Combining genotype-phenotype relationships with environmental data using big data and artificial intelligence could enhance maize breeding efficiency and accelerate genetic gains. This review emphasizes the importance of balancing traits, integrating environmental factors, and leveraging advanced technologies in maize breeding to achieve optimal yield and stress tolerance. Finally, we outlined future research perspectives aimed at developing high-yielding maize varieties through advances in KRN-related research.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.plantsci.2024.112366DOI Listing

Publication Analysis

Top Keywords

maize breeding
12
maize
9
kernel row
8
row number
8
krn
8
high heritability
8
krn maize
8
environmental factors
8
review advances
4
advances unraveling
4

Similar Publications

AutoGP: An Intelligent Breeding Platform for Enhancing Maize Genomic Selection.

Plant Commun

January 2025

National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Hubei, China. Electronic address:

In the face of climate change and the growing global population, there is an urgent need to accelerate the development of high-yielding crop varieties. To this end, vast amounts of genotype-to-phenotype data have been collected, and many machine learning (ML) models have been developed to predict phenotype from a given genotype. However, the requirement for high densities of single-nucleotide polymorphisms (SNPs) and the labor-intensive collection of phenotypic data are hampering the use of these models to advance breeding.

View Article and Find Full Text PDF

Impact of structural variations and genome partitioning on bread wheat hybrid performance.

Funct Integr Genomics

January 2025

INRAE, Genetics, Diversity and Ecophysiology of Cereals, Université Clermont Auvergne, 63000, Clermont-Ferrand, France.

The agronomical interest of hybrid wheat has long been a matter of debate. Compared to maize where hybrids have been successfully grown for decades, the mixed results obtained in wheat have been attributed at least partially to the lack of heterotic groups. The wheat genome is known to be strongly partitioned and characterized by numerous presence/absence variations and alien introgressions which have not been thoroughly considered in hybrid breeding.

View Article and Find Full Text PDF

This observational study evaluated the relationship between lung consolidation observed at weaning and calf ADG, and the association of pathogen shedding at weaning on ADG in beef × dairy calves up to 238 d. Beef × Holstein calves (n = 143) were sourced from 2 dairies. Calves were managed in 3 cohorts and fed milk replacer and calf starter preweaning.

View Article and Find Full Text PDF

Background: Fusarium head blight (FHB) is a major disease affecting cereal crops including wheat, barley, rye, oats and maize. Its predominant causal agent is the ascomycete fungus Fusarium graminearum, which infects the spikes and thereby reduces grain yield and quality. The frequency and severity of FHB epidemics has increased in recent years, threatening global food security.

View Article and Find Full Text PDF

Contribution of crossing over to genetic variance in maize and wheat populations.

Plant Genome

March 2025

Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.

Crossing over breaks linkages and leads to a wider array of allele combinations. My objective was to assess the contribution of crossing over to genetic variance (V) in maize (Zea mays L.) and wheat (Triticum aestivum L.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!