Novel InDel variation in GS3 locus and development of InDel based marker for marker assisted breeding of short grain aromatic rices

2013 ◽  
Vol 24 (1) ◽  
pp. 120-127 ◽  
Author(s):  
Deepti Anand ◽  
Mamta Baunthiyal ◽  
S. Gopala Krishnan ◽  
N. K. Singh ◽  
K. V. Prabhu ◽  
...  
2013 ◽  
Vol 19 (2) ◽  
pp. 57-65
Author(s):  
MH Kabir ◽  
MM Islam ◽  
SN Begum ◽  
AC Manidas

A cross was made between high yielding salt susceptible BINA variety (Binadhan-5) with salt tolerant rice landrace (Harkuch) to identify salt tolerant rice lines. Thirty six F3 rice lines of Binadhan-5 x Harkuch were tested for salinity tolerance at the seedling stage in hydroponic system using nutrient solution. In F3 population, six lines were found as salt tolerant and 10 lines were moderately tolerant based on phenotypic screening at the seedling stage. Twelve SSR markers were used for parental survey and among them three polymorphic SSR markers viz., OSR34, RM443 and RM169 were selected to evaluate 26 F3 rice lines for salt tolerance. With respect to marker OSR34, 15 lines were identified as salt tolerant, 9 lines were susceptible and 2 lines were heterozygous. While RM443 identified 3 tolerant, 14 susceptible and 9 heterozygous rice lines. Eight tolerant, 11 susceptible and 7 heterozygous lines were identified with the marker RM169. Thus the tested markers could be efficiently used for tagging salt tolerant genes in marker-assisted breeding programme.DOI: http://dx.doi.org/10.3329/pa.v19i2.16929 Progress. Agric. 19(2): 57 - 65, 2008


2019 ◽  
Vol 13 ◽  
pp. 01002
Author(s):  
Silvia Vezzulli ◽  
Chiara Dolzani ◽  
Daniela Nicolini ◽  
Paola Bettinelli ◽  
Daniele Migliaro ◽  
...  

Il programma di miglioramento genetico per le resistenze a stress biotici ha avuto inizio presso la Fondazione Edmund Mach (FEM) nel 2010. Inizialmente è stata condotta una caratterizzazione sia genotipica che fenotipica di materiali acquisiti da altri programmi di breeding e di materiale selvatico raccolto in New Jersey. Sia i genotipi conosciuti nei database internazionali che i genotipi sconosciuti, imparentati e non, sono stati impiegati come linee parentali nel processo di introgressione e di piramidazione di loci di interesse. Una volta pianificati e ottenuti gli incroci, la valutazione delle progenie è avvenuta seguendo un processo di Marker-Assisted Selection: dapprima è avvenuta la selezione fenotipica in serra in base al tipo di malattia e al numero di loci attesi per la medesima malattia; successivamente si è proceduto con lo screening molecolare in base ai loci specifici attesi nei parentali. Cinque sono i loci Run/Ren associati alla resistenza all'oidio presenti nel programma FEM; riguardo ai loci associati alla resistenza alla peronospora, quattro Rpv sono ben rappresentati nel piano di incroci. Ad oggi il 26% delle F1 è piramidizzato per quattro loci di resistenza.


Rice Science ◽  
2021 ◽  
Vol 28 (1) ◽  
pp. 89-98
Author(s):  
Luo Yanchang ◽  
Ma Tingchen ◽  
Joanne Teo ◽  
Luo Zhixiang ◽  
Li Zefu ◽  
...  

2010 ◽  
Vol 27 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Liangming Chen ◽  
Zhigang Zhao ◽  
Xi Liu ◽  
Linglong Liu ◽  
Ling Jiang ◽  
...  

2012 ◽  
Vol 12 (1) ◽  
pp. 151 ◽  
Author(s):  
Jian Wu ◽  
Keyun Wei ◽  
Feng Cheng ◽  
Shikai Li ◽  
Qian Wang ◽  
...  

Euphytica ◽  
2017 ◽  
Vol 213 (8) ◽  
Author(s):  
Shalabh Dixit ◽  
Ram Baran Yadaw ◽  
Krishna Kumar Mishra ◽  
Arvind Kumar

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 914
Author(s):  
Tatyana A. Larkina ◽  
Olga Y. Barkova ◽  
Grigoriy K. Peglivanyan ◽  
Olga V. Mitrofanova ◽  
Natalia V. Dementieva ◽  
...  

To adjust breeding programs for local, commercial, and fancy breeds, and to implement molecular (marker-assisted) breeding, a proper comprehension of phenotypic and genotypic variation is a sine qua non for breeding progress in animal production. Here, we investigated an evolutionary subdivision of domestic chickens based on their phenotypic and genotypic variability using a wide sample of 49 different breeds/populations. These represent a significant proportion of the global chicken gene pool and all major purposes of breed use (according to their traditional classification model), with many of them being characterized by a synthetic genetic structure and notable admixture. We assessed their phenotypic variability in terms of body weight, body measurements, and egg production. From this, we proposed a phenotypic clustering model (PCM) including six evolutionary lineages of breed formation: egg-type, meat-type, dual purpose (egg-meat and meat-egg), game, fancy, and Bantam. Estimation of genotypic variability was carried out using the analysis of five SNPs, i.e., at the level of genomic variation at the NCAPG-LCORL locus. Based on these data, two generally similar genotypic clustering models (GCM1 and GCM2) were inferred that also had several overlaps with PCM. Further research for SNPs associated with economically important traits can be instrumental in marker-assisted breeding programs.


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