首页> 外文期刊>Acta amazonica >Repeatability of biometric and fruit and seed yield traits of sacha inchi
【24h】

Repeatability of biometric and fruit and seed yield traits of sacha inchi

机译:cha茶的生物特征和果实及种子产量性状的重复性

获取原文
           

摘要

Repeatability allows an estimation of the number of evaluations needed to optimize the selection of superior genotypes, with consequent effects on the research costs in terms of financial and human resources. The objective of this study was to estimate the coefficient of repeatability of biometric and yield traits, related to fruits and seeds of sacha inchi ( Plukenetia volubilis ), and to define the number of evaluations required for an efficient selection and evaluation of genotypes of the species. A total of 37 non-domesticated accessions were evaluated for 19 months in a randomized block design with 5 replications and 2 plants per plot. The total number of fruits, total number of seeds, total fruit weight, mean fruit weight, and number of seeds per fruit of the accessions were evaluated by monthly sampling. Additionally, seed biometry was assessed in a sample of 30 seeds per accession. Repeatability coefficients were estimated by analysis of variance, principal components and structural analysis. The principal component method based on the covariance matrix was the most appropriate for establishing repeatability estimates of sacha inchi, due to the cyclical nature of the crop. Superior genotypes of the species can be selected for yield-related traits with about 90% accuracy, from 5 harvests (months) onwards. To ensure this accuracy level, it would be necessary to evaluate a minimum of 5 and 25 fruits to determine mean fruit weight and number of seeds per fruit, respectively, and 39 seeds would be required to evaluate the biometric traits.
机译:可重复性可以估算出优化最佳基因型选择所需的评估次数,从而对财务和人力资源方面的研究成本产生影响。这项研究的目的是估计与sacha inchi(Plukenetia volubilis)的果实和种子有关的生物特征和产量性状的可重复性系数,并确定有效选择和评估物种基因型所需的评估次数。 。在随机区组设计中,共评估了37个未驯化的种质,共19个月,每个样地有5个重复和2个植物。通过每月取样评估该种质的果实总数,种子总数,总果实重量,平均果实重量和每个果实的种子数目。另外,评估了每份30粒种子的种子生物特征。通过方差分析,主成分分析和结构分析来估计可重复性系数。由于作物的周期性,基于协方差矩阵的主成分方法最适合用于建立麻薯的重复性估计。可以从5个收获期(月)开始,以90%的准确度选择该物种的优良基因型用于与产量相关的性状。为了确保此准确度水平,有必要至少评估5个和25个水果以确定平均水果重量和每个水果的种子数,并且需要39颗种子来评估生物特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号