Phenomics approaches: genetic diversity and variance components in a S2 guava family by seed traits

نویسندگان

چکیده

Guava is of great economic importance in Brazil. The development new cultivars by obtaining inbreeding lines has been a promising option. objective this work was to evaluate the S2 families Psidium guajava using seed attributes. Different characters physiological quality guava seeds were studied, addition performing digital phenotyping characteristics geometry, texture and colors seeds. variables analyzed simultaneously Ward-Modified Location Model (MLM) method carried out individual analyses variance for estimating genetic parameters population. formation more than one group divergent genotypes observed, geometry impacting discrimination genotypes, high phenotypic correlation observed with germination dry matter weight. High heritabilities verified related quality, indicating success selecting vigorous genotypes. Ward-MLM useful tool detect diversity among inbred guava. Thus, most potential can be recommended future crosses or self-fertilized obtain breeding program.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimation of (co) variance components and genetic parameters for growth traits in Arman sheep

(Co) variance components and genetic parameters for growth traits in Arman sheep were estimated, using data collected during an 11-year period (1999-2010), by applying the restricted maximum likelihood (REML) procedure under univariate and bivariate animal models. The studied traits were body weight of lamb at birth (BW), body weight at 3 months of age as weaning weight (WW), body weight at 6 m...

متن کامل

phylogeography and genetic diversity of the lesser mouse- eared bat (myotis blythii) in iran

in current study, 63 samples of bat populations collected from differ regions were used for evaluating the geographic variations. twenty cranial and dental characters for traditional morphometric and landmarks method on the ventral, dorsal skull and mandible for geometry morphometric studies were used. statistical analyses of traditional morphometric and geometry morphometric data indicated low...

Bayesian Inference of (Co) Variance Components and Genetic Parameters for Economic Traits in Iranian Holsteins via Gibbs Sampling

The aim of this study was using Bayesian approach via Gibbs sampling (GS) for estimating genetic parameters of production, reproduction and health traits in Iranian Holstein cows. Data consisted of 320666 first- lactation records of Holstein cows from 7696 sires and 260302 dams collected by the animal breeding center of Iran from year 1991 to 2010. (Co) variance components were estimated using ...

متن کامل

Evaluation of genetic diversity of Avicenniaceae family in Indian sundarban by using RAPD and ISSR markers

The present investigation was undertaken to describe the relationships among species of Avicenniaceae family which have both economic and medicinal activities, collected in Indian Sundarban by the help of RAPD and ISSR markers. In this study, three different species of Avicennia genus were collected. Frozen young leaves (-200C) were taken to isolate the genomic DNA using a slightly modified CTA...

متن کامل

Genetic diversity and relationships among traits in potato genotypes using agronomic traits and molecular marker (SSR).

The molecular marker (SSR) has been used to investigate the markers associated with the agronomic traits including days to 50% flowering, tube ring time, days to maturity, plant height, the number of main stems per plant, the number of tubers per plant, dry matter content, main stem diameter, a single tuber weight, average single tuber weight, and the total yield in potato genotypes. Ten primer...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Bragantia

سال: 2021

ISSN: ['1678-4499', '0006-8705']

DOI: https://doi.org/10.1590/1678-4499.20200449