Utilization of Evolutionary Plant Breeding Increases Stability and Adaptation of Winter Wheat across Diverse Precipitation Zones

Autor: K. A. Balow, Kevin Murphy, Steven R. Lyon, Arron H. Carter, Stephen S. Jones, Lance F. Merrick
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0106 biological sciences
Multivariate statistics
media_common.quotation_subject
composite-cross population
Geography
Planning and Development

lcsh:TJ807-830
lcsh:Renewable energy sources
Management
Monitoring
Policy and Law

Plant disease resistance
01 natural sciences
Adaptability
evolutionary plant breeding
Plant breeding
lcsh:Environmental sciences
media_common
lcsh:GE1-350
Natural selection
biology
Renewable Energy
Sustainability and the Environment

lcsh:Environmental effects of industries and plants
food and beverages
Ammi
natural selection
04 agricultural and veterinary sciences
bi-parental population
stability
biology.organism_classification
Regression
evolving populations
lcsh:TD194-195
Agronomy
040103 agronomy & agriculture
0401 agriculture
forestry
and fisheries

Adaptation
010606 plant biology & botany
Zdroj: Sustainability, Vol 12, Iss 9728, p 9728 (2020)
Sustainability
Volume 12
Issue 22
ISSN: 2071-1050
Popis: Evolutionary plant breeding (EPB) is a breeding method that was used to create wheat (Triticum aestivum L.)-evolving populations (EP), bi-parental and composite-cross populations (BPPs and CCPs), by using natural selection and bulking of seed to select the most adaptable, diverse population in an environment by increasing the frequency of favorable alleles in a heterogeneous population. This study used seven EPs to evaluate EPB in its ability to increase the performance of agronomic, quality, and disease resistance traits and adaptability across different precipitation zones. The populations were tested in field trials in three diverse locations over 2 years. Least significant differences showed the EPs performance was dependent on their pedigree and were statistically similar and even out-performed some of their respective parents in regards to grain yield, grain protein concentration, and disease resistance. Stability models including Eberhart and Russel&rsquo
s deviation from Regression (), Shukla&rsquo
s Stability Variance (), Wricke&rsquo
s Ecovalance (), and the multivariate Additive Main Effects and Multiplicative Interaction (AMMI) model were used to evaluate the adaptability of the EPs and their parents. The BPPs and CCPs demonstrated significantly greater stability over the parents across precipitation zones, confirming the capacity of genetically diverse EP populations to adapt to different environments.
Databáze: OpenAIRE