A method and system for screening crop breeding materials

Abstract

The invention provides a plant breeding materials screening method and system. The plant breeding materials screening method comprises the following steps of S1, gathering a plurality of candidate characters of plant breeding materials; S2, choosing at least one characteristic parameter as an evaluation index of the plant breeding materials from each candidate character gathered from S1; S3, confirming a corresponding weighted value of each evaluation index being chosen in the S2; S4, according to the weighted value acquired form the S3, operating a corresponding index value of each plant breeding material, and acquiring a comprehensive score for every plant breeding material; S5, according to the comprehensive score acquired from the S4, selecting the plant breeding materials. The plant breeding materials screening method and the system can improve the efficiency and accuracy of the selection, and the plant characteristic index selected for systematical and comprehensive evaluation is more scientific and reasonable.

Description

technical field [0001] The invention relates to the technical field of crop breeding, in particular to a method and system for screening crop breeding materials. Background technique [0002] Comprehensive evaluation is a comprehensive subject that uses multi-disciplinary and multi-field theories, methods, techniques and knowledge to intersect and infiltrate each other. From a philosophical point of view, comprehensive evaluation technology is a means of cognition, a means of quantitatively understanding objective reality, which enables us to grasp the overall level of things from a variety of phenomena; from a statistical point of view, it is similar to regression analysis It is an important branch of the statistical method system, and is widely used in the practice of quantitative comprehensive evaluation of social phenomena, such as economic benefit evaluation, logistics planning evaluation, environmental impact evaluation, etc. , food safety assessment and other fields....

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Problems solved by technology

Statistical methods of field experiments usually include: complete random method, random block method, Latin method, repeated inner grouping method, split-plot method, strip-plot method, etc. One of the common points of these methods is: through prior design of field experiments, and then based on variance The idea of ​​decomposition is to carry out analysis of variance for each experimental factor in the field experiment, and then use the least significant difference method (Least Significant Difference, LSD) or the new multiple range method (Shortest Significant Ranges, SSR) for multiple comparisons to analyze The difference between materials, or the evaluation of the interaction effect of several traits, and the comprehensive and quantitative evaluation of multiple traits, seriously affect the authenticity and usability of the results

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