A Simple and Accurate Method Based on a Water-Consumption Model for Phenotyping Soybean Genotypes under Hydric Deficit Conditions

Agronomy

Esteban Casaretto¹  Omar Borsani¹  Gastón Quero¹  Sergio Ceretta²  Victoria Bonnecarrère³  Sebastián Simondi⁴ 

[1] Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Garzón 809, Montevideo 12900, Uruguay;Instituto Nacional de Investigación Agropecuaria (INIA), Programa de Cultivo de Secano, Estación Experimental INIA La Estanzuela, Ruta 50, Km 11, Colonia 70000, Uruguay;Instituto Nacional de Investigación Agropecuaria (INIA), Unidad de Biotecnología, Estación Experimental Wilson Ferreira Aldunate, Ruta 48, Km 10, Rincón del Colorado, Canelones 90200, Uruguay;Área de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (FCEN-UNCuyo), Padre Contreras 1300, Mendoza M5502JMA, Argentina;

关键词: drought;    stomatal conductance;    mathematical modeling;    crop breeding;   

DOI  :  10.3390/agronomy12030575

来源: DOAJ

【 摘 要 】

Drought limits crop productivity and reduces yield stability. Drought tolerance as a selection criterion in breeding programs requires the development of high-throughput, precise, and low-cost phenotyping strategies. We developed a mathematical model, based on biological approaches, for evaluating soybean plants’ response to drought under controlled growth conditions. The model describes the kinetics of water consumption of a plant pot substrate system (PPS) with low sampling requirements. The model generated two parameters, t_0.5 (time necessary for the PPS to reach half of the maximum amount of evapotranspirable water) and G_w(t_0.5) (stomatal conductance [G_w] at t_0.5), which determined the water- consumption curve of each genotype. An analysis of the kinetics of water consumption in response to a progressive water deficit in a biparental and breeding population was performed as a preliminary test of the model. A correspondence analysis between the t_0.5 and G_w(t_0.5) parameters with the genetic structure of the populations shows a genetic association. The phenotyping methodology presented in this work and drought susceptibility in field conditions are discussed based on previous results. This work could be useful for improving the selection of soybean genotypes in relation to their performance under drought conditions.

【 授权许可】

Unknown