Fifteen years of soybean productivity in Rio Grande do Sul and the decomposition of phenotypic variation along with relations with the production environment
Gabriel Mathias Weimer Bruinsma, Ivan Ricardo Carvalho, Christiane de Fátima Colet, Cristhian Milbradt Babeski, Jaqueline Piesanti Sangiovo, Guilherme Hickembick Zuse
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引用次数: 0
Abstract
Grain production systems in Rio Grande do Sul (RS) have soybean (Glycine max L.) as the main crop in these subtropical environments, demonstrating over the years its adaptability to different growing conditions. The objective of the study was to highlight which soil and climate factors are determinants for grain yield according to the relative maturity group (RMG) of soybean based on the historical series of the last 15 years in RS. An exploratory meta-analysis was performed using a structure of 231 soybean cultivars sown in 20 environments in the last 15 years in RS, collecting data on soybean yield and soil and climate characteristics of each environment. The variance components and genetic parameters were estimated using the restricted maximum likelihood procedure. The general best unbiased linear predictor was extracted by RMG and stratified for each cultivation environment. Through the analysis of the reaction norm, a multiple regression with environmental covariates was used to identify the responsiveness, adaptability, and stability of the RMG as a function of the cultivation environment. The specific RMG of the soybean cultivar group influences 4% of genetic contribution to the phenotypic manifestation of grain yield regardless of the cultivation environment. RMGs 5.7, 5.8, 5.9, 6.0, 6.1, 6.2, 6.3, 6.4, and 6.5 presented the highest yields, regardless of the environment and harvest. The balanced concentrations of soil texture components condition its carbon concentration and allowed the highest soybean yields in RS.
巴西南格兰德州(RS)的粮食生产系统以大豆(Glycine max L.)作为这些亚热带环境的主要作物,多年来显示出其对不同生长条件的适应性。本研究的目的是根据过去15年的历史序列,根据大豆的相对成熟度组(RMG),突出土壤和气候因素是粮食产量的决定因素。利用过去15年在20个环境中播种的231个大豆品种的结构进行探索性荟萃分析,收集大豆产量和每个环境的土壤和气候特征数据。方差成分和遗传参数用限制最大似然法估计。通过RMG提取一般最佳无偏线性预测因子,并对每个栽培环境进行分层。通过对反应范数的分析,采用带环境协变量的多元回归方法,确定了RMG对栽培环境的响应性、适应性和稳定性。无论栽培环境如何,大豆品种群体的特异性RMG对籽粒产量表型表现的遗传贡献均有4%的影响。无论环境和收获情况如何,rmg 5.7、5.8、5.9、6.0、6.1、6.2、6.3、6.4和6.5的产量最高。土壤质地组分的平衡浓度决定了其碳浓度,并使大豆产量最高。
期刊介绍:
Articles in Crop Science are of interest to researchers, policy makers, educators, and practitioners. The scope of articles in Crop Science includes crop breeding and genetics; crop physiology and metabolism; crop ecology, production, and management; seed physiology, production, and technology; turfgrass science; forage and grazing land ecology and management; genomics, molecular genetics, and biotechnology; germplasm collections and their use; and biomedical, health beneficial, and nutritionally enhanced plants. Crop Science publishes thematic collections of articles across its scope and includes topical Review and Interpretation, and Perspectives articles.