Procedures for Standardized Measurements of Core Traits in Maize Research and Breeding Programs.

Dayane Cristina Lima, Natalia de Leon, Shawn M Kaeppler
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引用次数: 0

Abstract

Maize (Zea mays L.) is a highly adaptable crop grown worldwide across diverse climates and management practices, with uses across multiple sectors. Consequently, the traits prioritized in maize research and breeding programs vary depending on the specific objectives. Core traits, however, such as flowering time, plant and ear height, and stalk and root lodging, which are important for evaluating and improving the performance and stability of maize genotypes, are routinely evaluated across breeding programs, regardless of their goals. Standardized measurement of these core traits is essential to ensure data reliability and comparability, enabling the integration of phenotypic data across different experiments. Such efforts ultimately support better decision-making and accelerate the development of improved maize genotypes. This is particularly important in public sector programs, where large-scale evaluations, critical for assessing the value of specific genotypes, are often only feasible through collaboration across programs. Here, we provide a protocol for the standardized collection of phenotypic data, specifically focusing on how to measure core traits in maize field trials. These methods promote consistency and accuracy in the evaluation of these traits, and support communication and coordination among groups in the public sector and other research settings. Further, such standardization facilitates the integration and comparison of data across programs, enabling robust longitudinal and multienvironment analyses.

玉米研究和育种计划中核心性状的标准化测量程序。
玉米(Zea mays L.)是一种适应性很强的作物,在全球不同气候和管理方式下种植,用途跨越多个部门。因此,玉米研究和育种计划中优先考虑的性状因具体目标而异。然而,核心性状,如开花时间、株高和穗高、茎和根倒伏,这些对评估和提高玉米基因型的性能和稳定性很重要,在育种计划中经常进行评估,而不管它们的目标是什么。这些核心性状的标准化测量对于确保数据的可靠性和可比性至关重要,从而实现不同实验间表型数据的整合。这些努力最终支持更好的决策并加速改良玉米基因型的开发。这在公共部门项目中尤为重要,因为大规模评估对评估特定基因型的价值至关重要,往往只有通过项目间的合作才能实现。在这里,我们为表型数据的标准化收集提供了一个方案,特别关注如何在玉米田间试验中测量核心性状。这些方法促进了对这些特征评价的一致性和准确性,并支持公共部门和其他研究机构的团体之间的沟通和协调。此外,这种标准化促进了跨程序数据的集成和比较,实现了稳健的纵向和多环境分析。
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来源期刊
Cold Spring Harbor protocols
Cold Spring Harbor protocols Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.00
自引率
0.00%
发文量
163
期刊介绍: Cold Spring Harbor Laboratory is renowned for its teaching of biomedical research techniques. For decades, participants in its celebrated, hands-on courses and users of its laboratory manuals have gained access to the most authoritative and reliable methods in molecular and cellular biology. Now that access has moved online. Cold Spring Harbor Protocols is an interdisciplinary journal providing a definitive source of research methods in cell, developmental and molecular biology, genetics, bioinformatics, protein science, computational biology, immunology, neuroscience and imaging. Each monthly issue details multiple essential methods—a mix of cutting-edge and well-established techniques.
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