Thermotolerance in plants: Potential physio-biochemical and molecular markers for crop improvement

2021 ◽  
Vol 186 ◽  
pp. 104454
Author(s):  
M. Ashraf
Keyword(s):  
Molecular Markers ◽  
Crop Improvement

Development and Implementation of Molecular Markers for Forage Crop Improvement

2001 ◽  
pp. 101-133 ◽  
Author(s):  
J. W. Forster ◽  
E. S. Jones ◽  
R. Kölliker ◽  
M. C. Drayton ◽  
J. L. Dumsday ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Crop Improvement ◽  
Forage Crop

scholarly journals Genetic mapping studies in Coffea sp using molecular marker methods Studi peta genetik pada Coffea sp. menggunakan metode penanda molekuler

2016 ◽  
Vol 83 (2) ◽  
Author(s):  
. PRIYONO ◽  
Riza Arief PUTRANTO
Keyword(s):  
Molecular Markers ◽  
Genetic Mapping ◽  
Genetic Map ◽  
Crop Improvement ◽  
Average Density ◽  
Genetic Maps ◽  
Gene Characterization ◽  
Robusta Coffee ◽  
Dna And Rna ◽  
Genomic Comparative Analysis

AbstrakAnalisis genetik telah  menjadi alat yang penting  dalam  pemuliaan  tanaman untuk perbaikan sifat penting tanaman. Salah satu potensi terbesar dari analisis tersebut adalah identifikasi penanda molekuler yang berguna untuk pemetaan genetik. Pemetaan genetik  merupakan  salah satu langkah penting dari analisis  genetik.  Intisari  dari   semua pemetaan genetik adalah  menempatkan  koleksi  pe- nanda molekuler pada posisi tertentu dalam genom. Hal tersebut dapat kemudian digunakan untuk meng- identifikasi lokus sifat kuantitatif (QTLs) dengan memanfaatan keragaman genetik alami yang tersedia dan meningkatkan sifat-sifat penting serta berharga. Sampai saat ini, tiga belas peta genetik telah dipublikasi dan tersedia pada Coffea sp. yang menciptakan database besar untuk kerangka genetik. Sebuah peta genetik terbaru dengan akses terbuka dan berfungsi sebagai referensi telah dibangun oleh International Coffee Genomics Network (ICGN). Peta tersebut tediri dari 3230 lokus, dengan panjang peta 1471 cM (1cm ~ 500 Kb) serta kepadatan satu penanda setiap 220 Kb. Peta-peta genetik pada tanaman kopi telah digunakan dari karakterisasi gen hingga analisis komparatif genom dengan spesies tanaman yang berbeda. Saat ini, pesatnya kemajuan teknologi New Genome Sequencing (NGS) untuk sekuensing DNA dan RNA memungkinkan validasi dari peta-peta genetik untuk prediksi QTLs serta gen-gen yang membawa sifat penting Coffea sp.AbstractGenetic analysis has become an important tool in plant breeding for crop improvement. One of their greatest potential appears to be the identification of molecular markers useful for genetic mapping. Genetic mapping is one of important steps in genetic analysis. The essence of all genetic mapping is to place a collection of molecular markers onto their respective positions on the genome. Thus, it leads to identification of new quantitative trait loci (QTLs) by making benefits of natural available genetic diversity.and to improve important and valuable traits. Until present, thirteen genetic maps were published and available in Coffea sp. creating a huge database for genetic framework. One most recent and open reference genetic map for robusta coffee has been generated by the International Coffee Genomics Network (ICGN) comprising 3230 loci, genetic size 1471 cM (1cM ~500 Kb), with an average density close to one marker every 220 Kb. The Coffea genetic maps have been utilized from gene characterization to genomic comparative analysis with different plant species. Nowadays, the feasibility of NGS for DNA and RNA sequencing allow the validation of genetic map related to the prediction of QTLs and adjacent genes related to important traits for Coffea sp. 

scholarly journals Unlocking Genetic Diversity in Selected Chickpea Genotypes Using Morphological and Molecular Markers

2017 ◽  
Vol 5 (1) ◽  
pp. 50-57
Author(s):  
Rupsanatan Mandal ◽  
Suprakash Pal ◽  
Nonigopal Shit
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Crop Improvement ◽  
Research Work ◽  
Genetic Maps ◽  
Quantitative Character ◽  
Moderate Degree ◽  
Improvement Program

Proficiency and organization of the genetic variability in cultivated and wild relatives are pivotal for a particular crop improvement program. In the present scenario there has been noteworthy improvement in the development of novel genetic tools such as DNA or molecular markers and genetic maps profiling techniques. In this study, seven chickpea (Cicer arietinum L.) genotypes including some cultivars were considered (Collection Id of the seven genotypes are TZCP-1, TZCP-2, TZCP-3, TZCP-4, TZCP-5, TZCP-6 and TZCP-7). The experiment was conducted out in Random Complete Block Design (RCBD) having three replications. All the quantitative characters were collected for assessing the diversity and to find key characters in chickpea cultivars. The statistical analysis was done for all the quantitative character (viz. plant height, number of branches per plant, number of pod per plant, number of seeds per pod, test weight, seed length, seed width, days to 50% flowering, days to 50% maturity and grain yield). Analysis of variance divulged significant differences among the genotypes for all the 10 characters. An extensive range of diversity was displayed by most of the characters under study. The magnitude of phenotypic coefficient of variation (1.23% - 33.71%) in the present study was slightly wider than genotypic coefficient of variation (1.13% - 33.02%) suggesting that environmental factors have high contribution to the observed variation among chickpea accessions. The first four PC axes from the principal component analysis accounted for 91.63% of the multivariate variation among entries indicating a moderate degree of correlation among characters for these entries. The genotypic data generated through RAPD profiling of seven chickpea genotypes were used to study genetic diversity or interrelationship. The pair wise Jaccard’s similarity coefficient ranged from 0.47 (TZCP-3 and TZCP-5) to 0.87 (TZCP-2 and TZCP-4). Finally, this research work helped with the analysis of genetic diversity in chickpea by using different approaches such as morphological and molecular marker system.

scholarly journals Genetic mapping studies in Coffea sp using molecular marker methods Studi peta genetik pada Coffea sp. menggunakan metode penanda molekuler

2016 ◽  
Vol 83 (2) ◽  
Author(s):  
. PRIYONO ◽  
Riza Arief PUTRANTO
Keyword(s):  
Molecular Markers ◽  
Genetic Mapping ◽  
Genetic Map ◽  
Crop Improvement ◽  
Average Density ◽  
Genetic Maps ◽  
Gene Characterization ◽  
Robusta Coffee ◽  
Dna And Rna ◽  
Genomic Comparative Analysis

AbstrakAnalisis genetik telah  menjadi alat yang penting  dalam  pemuliaan  tanaman untuk perbaikan sifat penting tanaman. Salah satu potensi terbesar dari analisis tersebut adalah identifikasi penanda molekuler yang berguna untuk pemetaan genetik. Pemetaan genetik  merupakan  salah satu langkah penting dari analisis  genetik.  Intisari  dari   semua pemetaan genetik adalah  menempatkan  koleksi  pe- nanda molekuler pada posisi tertentu dalam genom. Hal tersebut dapat kemudian digunakan untuk meng- identifikasi lokus sifat kuantitatif (QTLs) dengan memanfaatan keragaman genetik alami yang tersedia dan meningkatkan sifat-sifat penting serta berharga. Sampai saat ini, tiga belas peta genetik telah dipublikasi dan tersedia pada Coffea sp. yang menciptakan database besar untuk kerangka genetik. Sebuah peta genetik terbaru dengan akses terbuka dan berfungsi sebagai referensi telah dibangun oleh International Coffee Genomics Network (ICGN). Peta tersebut tediri dari 3230 lokus, dengan panjang peta 1471 cM (1cm ~ 500 Kb) serta kepadatan satu penanda setiap 220 Kb. Peta-peta genetik pada tanaman kopi telah digunakan dari karakterisasi gen hingga analisis komparatif genom dengan spesies tanaman yang berbeda. Saat ini, pesatnya kemajuan teknologi New Genome Sequencing (NGS) untuk sekuensing DNA dan RNA memungkinkan validasi dari peta-peta genetik untuk prediksi QTLs serta gen-gen yang membawa sifat penting Coffea sp.AbstractGenetic analysis has become an important tool in plant breeding for crop improvement. One of their greatest potential appears to be the identification of molecular markers useful for genetic mapping. Genetic mapping is one of important steps in genetic analysis. The essence of all genetic mapping is to place a collection of molecular markers onto their respective positions on the genome. Thus, it leads to identification of new quantitative trait loci (QTLs) by making benefits of natural available genetic diversity.and to improve important and valuable traits. Until present, thirteen genetic maps were published and available in Coffea sp. creating a huge database for genetic framework. One most recent and open reference genetic map for robusta coffee has been generated by the International Coffee Genomics Network (ICGN) comprising 3230 loci, genetic size 1471 cM (1cM ~500 Kb), with an average density close to one marker every 220 Kb. The Coffea genetic maps have been utilized from gene characterization to genomic comparative analysis with different plant species. Nowadays, the feasibility of NGS for DNA and RNA sequencing allow the validation of genetic map related to the prediction of QTLs and adjacent genes related to important traits for Coffea sp. 

scholarly journals Insights into Marker Assisted Selection and Its Applications in Plant Breeding

2020 ◽  
Author(s):  
Gayatri Kumawat ◽  
Chander Kanta Kumawat ◽  
Kailash Chandra ◽  
Saurabh Pandey ◽  
Subhash Chand ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Plant Breeding ◽  
Short Duration ◽  
Marker Assisted Selection ◽  
Production Systems ◽  
Crop Improvement ◽  
Gene Pyramiding ◽  
Genetic Purity ◽  
Crop Species ◽  
Germplasm Diversity

Burgeoning the human population with its required food demand created a burden on ever-decreasing cultivated land and our food production systems. This situation prompted plant scientists to breed crops in a short duration with specific traits. Marker-assisted selection (MAS) has emerged as a potential tool to achieve desirable results in plants with the help of molecular markers and improves the traits of interest in a short duration. The MAS has comprehensively been used in plant breeding to characterize germplasm, diversity analysis, trait stacking, gene pyramiding, multi-trait introgression, and genetic purity of different cereals, pulses, oilseeds, and fiber crops, etc. Mapping studies pointed out several marker-trait associations from different crop species, which specifies the potential application of MAS in accelerating crop improvement. This chapter presents an overview of molecular markers, their genesis, and potential use in plant breeding.

scholarly journals Exploring Plant Genetic Variations with Morphometric and Molecular Markers

2021 ◽  
Author(s):  
Bushra Sadia ◽  
Faisal Saeed Awan ◽  
Fozia Saleem ◽  
Javaria Altaf ◽  
Abdullah Bin Umar ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Genetic Variability ◽  
Human Population ◽  
Crop Improvement ◽  
Genetic Variations ◽  
Germplasm Collections ◽  
Crop Germplasm ◽  
Insight Into ◽  
Sorghum Germplasm

For centuries, crop improvement has served as the basis of food security of ever increasing human population. Though vast germplasm collections are available; their exploitation for crop improvement still depends upon efficient assessment of genetic diversity. Genetic variability is the key element in adaptation of plants to varying climates. While crops with narrow genetic diversity are vulnerable to stresses. The estimation of extent and pattern of genetic variability is a prerequisite for generating superior varieties. Genetic diversity analysis generates key information to dissect genetic variations in crop germplasm with the help of morphometrical, biochemical and molecular tools. Among these, DNA markers provide a reliable and detailed insight into the similarities and differences among crops. In this chapter, we discuss the applications of phenotypic and molecular markers to probe genetic divergence in crops and present case studies that describe the significance of these tools to characterize sorghum germplasm. Furthermore, we spotlight sorghum biodiversity exploration efforts worldwide and propose future directions.

Sign in / Sign up

Export Citation Format

Share Document