مورد إلكتروني

Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies

التفاصيل البيبلوغرافية
العنوان: Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies
المصدر: ISSN: 1664-462X
بيانات النشر: 2019
تفاصيل مُضافة: Bustos-Korts, Daniela
Boer, Martin P.
Malosetti, Marcos
Chapman, Scott
Chenu, Karine
Zheng, Bangyou
Eeuwijk, Fred A., van
نوع الوثيقة: Electronic Resource
مستخلص: Genomic prediction of complex traits, say yield, benefits from including information on correlated component traits. Statistical criteria to decide which yield components to consider in the prediction model include the heritability of the component traits and their genetic correlation with yield. Not all component traits are easy to measure. Therefore, it may be attractive to include proxies to yield components, where these proxies are measured in (high-throughput) phenotyping platforms during the growing season. Using the Agricultural Production Systems Simulator (APSIM)-wheat cropping systems model, we simulated phenotypes for a wheat diversity panel segregating for a set of physiological parameters regulating phenology, biomass partitioning, and the ability to capture environmental resources. The distribution of the additive quantitative trait locus effects regulating the APSIM physiological parameters approximated the same distribution of quantitative trait locus effects on real phenotypic data for yield and heading date. We use the crop growth model APSIM-wheat to simulate phenotypes in three Australian environments with contrasting water deficit patterns. The APSIM output contained the dynamics of biomass and canopy cover, plus yield at the end of the growing season. Each water deficit pattern triggered different adaptive mechanisms and the impact of component traits differed between drought scenarios. We evaluated multiple phenotyping schedules by adding plot and measurement error to the dynamics of biomass and canopy cover. We used these trait dynamics to fit parametric models and P-splines to extract parameters with a larger heritability than the phenotypes at individual time points. We used those parameters in multi-trait prediction models for final yield. The combined use of crop growth models and multi-trait genomic prediction models provides a procedure to assess the efficiency of phenotyping strategies and compare methods to model trait dynamics. It
مصطلحات الفهرس: APSIM model, crop growth model, dynamic traits, genomic prediction, genotype to phenotype, P-spline, trait hierarchy, wheat, Article/Letter to editor
URL: https://edepot.wur.nl/511599Test
https://edepot.wur.nl/511599Test
الإتاحة: Open access content. Open access content
Wageningen University & Research
ملاحظة: application/pdf
Frontiers in Plant Science 10 (2019)
ISSN: 1664-462X
ISSN: 1664-462X
English
أرقام أخرى: NLWUP oai:library.wur.nl:wurpubs/558620
https://library.wur.nl/WebQuery/wurpubs/558620Test
10.3389/fpls.2019.01491
1200318742
المصدر المساهم: WUR STAFF PUBNS
From OAIster®, provided by the OCLC Cooperative.
رقم الانضمام: edsoai.on1200318742
قاعدة البيانات: OAIster