scholarly journals QTL Mapping for 1000-grain Weight and Its Main Components in Wheat

2021 ◽  
Author(s):  
hong zhang ◽  
Yin-guang Bao ◽  
Xing-feng Li ◽  
De-shun Feng ◽  
Hong-gang Wang
Keyword(s):  
Qtl Mapping ◽  
Break Point ◽  
Snp Markers ◽  
Grain Weight ◽  
Phenotypic Variance ◽  
Component Traits ◽  
Grain Width ◽  
Main Components ◽  
Main Component ◽  
1000 Grain Weight

Abstract In order to identify QTLs for 1000-grain weight and its main component traits in wheat, a high-density genetic link map was constructed using a F8:9 recombined inbred line (RIL) population as material and exploiting the single nucleotide polymorphism (SNP) as well as PCR-based molecular markers, and to go a step further, QTL mapping for 1000-grain weight, grain length, and grain width in wheat was conducted. The linkage map was composed of 1257 loci formed by the 3916 markers, including 143 SSR markers and 3773 SNP markers, which were distributed on 22 chromosomes (2A chromosome formed a break point) with the total length of 2291.6 cM and the average genetic distance between loci of 1.82 cM. A total of 41 qualitative trait loci (QTLs) on 19 chromosomes were detected, with contributions to phenotypic variance ranged from 3.59–58.49% for each QTL. Among these QTLs, two were detected in four environments, six in three environments, and 14 in two environments. Fifteen important loci with multi-effect were mapped on 9 chromosomes 1B, 2B, 3A, 4B, 5A, 5B, 6A, 7A, and 7B, involving 37 QTLs that accounted for 90.2% of total numbers of QTLs detected. Of these 15 loci, including one on chromosome 7A flanked by the markers Tdurum_contig77759_5 and BS00062425_51, which consisted of QTLs controlling TGW, GL, and GW and explained 4.2 to 58.49% of the phenotypic variation in these traits. Thus, the chromosome intervals of the 15 loci were important areas controlling the expression of 1000-grain weight and its main component traits in wheat.

Study onGenetic Variability, Heritability and Genetic Advance for Seed Yield and Component Traits in Rice

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Flag Leaf ◽  
Grain Weight ◽  
Major Influence ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of riceduring kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study.The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet’s per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet’s per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.

scholarly journals Mapping Quantitative Trait Loci for 1000-Grain Weight in a Double Haploid Population of Common Wheat

2020 ◽  
Vol 21 (11) ◽  
pp. 3960 ◽  
Author(s):  
Tao Liu ◽  
Lijun Wu ◽  
Xiaolong Gan ◽  
Wenjie Chen ◽  
Baolong Liu ◽  
...  
Keyword(s):  
Quantitative Trait ◽  
Genetic Distances ◽  
Snp Markers ◽  
Grain Weight ◽  
High Yield ◽  
Doubled Haploid Population ◽  
Phenotypic Variance ◽  
Yield Trait ◽  
Haploid Population ◽  
Trait Locus

Thousand-grain weight (TGW) is a very important yield trait of crops. In the present study, we performed quantitative trait locus (QTL) analysis of TGW in a doubled haploid population obtained from a cross between the bread wheat cultivar “Superb” and the breeding line “M321” using the wheat 55-k single-nucleotide polymorphism (SNP) genotyping assay. A genetic map containing 15,001 SNP markers spanning 2209.64 cM was constructed, and 9 QTLs were mapped to chromosomes 1A, 2D, 4B, 4D, 5A, 5D, 6A, and 6D based on analyses conducted in six experimental environments during 2015–2017. The effects of the QTLs qTgw.nwipb-4DS and qTgw.nwipb-6AL were shown to be strong and stable in different environments, explaining 15.31–32.43% and 21.34–29.46% of the observed phenotypic variance, and they were mapped within genetic distances of 2.609 cM and 5.256 cM, respectively. These novel QTLs may be used in marker-assisted selection in wheat high-yield breeding.

scholarly journals High-Density Genetic Linkage Map Construction and White Rot Resistance Quantitative Trait Loci Mapping for Genus Vitis Based on Restriction Site-Associated DNA Sequencing

2021 ◽  
pp. PHYTO-12-19-048
Author(s):  
Kai Su ◽  
Yinshan Guo ◽  
Weihao Zhong ◽  
Hong Lin ◽  
Zhendong Liu ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Dna Sequencing ◽  
Quantitative Trait ◽  
Restriction Site ◽  
Genetic Distances ◽  
Snp Markers ◽  
High Density ◽  
White Rot ◽  
Phenotypic Variance ◽  
Trait Locus

Grape white rot (Coniothyrium diplodiella) is a major fungal disease affecting grape yield and quality. Quantitative trait locus (QTL) analysis is an important method for studying important horticultural traits of grapevine. This study was conducted to construct a high-density map and conduct QTL mapping for grapevine white rot resistance. A mapping population with 177 genotypes was developed from interspecific hybridization of a white rot-resistant cultivar (Vitis vinifera × V. labrusca ‘Zhuosexiang’) and white rot-susceptible cultivar (V. vinifera ‘Victoria’). Single-nucleotide polymorphism (SNP) markers were developed by restriction site-associated DNA sequencing. The female, male, and integrated maps contained 2,501, 4,110, and 6,249 SNP markers with average genetic distances of adjacent markers of 1.25, 0.77, and 0.50 cM, respectively. QTL mapping was conducted based on white rot resistance identification of 177 individuals in July and August of 2017 and 2018. Notably, one stable QTL related to white rot resistance was detected and located on linkage group LG14. The phenotypic variance ranged from 12.93 to 13.43%. An SNP marker (chr14_3929380), which cosegregated with white rot resistance, was discovered and shows potential for use in marker-assisted selection to generate new grapevine cultivars with resistance to white rot.

scholarly journals Characterization of Functional Genes GS3 and GW2 and their Effect on the Grain Size of Various Landraces of Rice

2021 ◽  
Author(s):  
Haroon Rasheed ◽  
Sajid Fiaz ◽  
Muhammad Abid Khan ◽  
Sultan Mehmood ◽  
Faizan Ullah ◽  
...  
Keyword(s):  
Grain Size ◽  
Grain Weight ◽  
Negative Regulator ◽  
Yield Potential ◽  
Phenotypic Traits ◽  
Dominant Allele ◽  
Diverse Range ◽  
Grain Length ◽  
Grain Width ◽  
1000 Grain Weight

Abstract Grain size is an essential factor in grain quality and yield. In the existing agricultural lands in Pakistan and even all over the world, genetics in rice works better for yield potential and quality improvement. GS3 and GW2 with functional mutation responsible for grain size in rice. In the current study, 17 different Pakistani landraces of various genetic and geographic backgrounds were evaluated for grain phenotypic traits (thousand-grain weight, length, width, and thickness) and characterized genotypes for GS3 gene (grain length) and GW2 (grain width). The two accessions JP5 and Bas370, were used as control. Phenotypic data revealed the range for grain weight from 16.86g (Lateefy) to 26.91g (PS2), grain length ranged from 7.27 mm (JP-5) to 12.18 mm (PS2), grain width ranged from 2.01 mm (Lateefy) to 3.51 mm (JP5), and grain thickness ranged from 1.79 mm to 2.19. Pearson correlation revealed a negative and significant correlation between grain width and length. There was no significant correlation between grain length and 1000-grain weight and grain width. LSD test displayed that the means of three variables grain length, grain width, and 1000-grain weight were statistically different from one another except grain width and grain breadth. GS3 is a negative regulator of grain length. Fifteen accessions GA-5015, PS-2, Swat-1, Swat-2, DR-2, Dilrosh, Malhar-346, Kashmir Basmati, Rachna Basmati, KS-282, Basmati-370, KSK-133, KSK-434, MG-Basmati, and Lateefy, carried the domesticated allele of GS3 while JP5 and Fakhr-e-Malakand carried the dominant allele. Similarly, the GW2 is a negative regulator of grain width. Fifteen accessions, i.e., Bas-370, GA-5015, PS-2, Swat-1, Swat-2, DR-2, Dilrosh, Malhar-346, Kashmir Basmati, Rachna Basmati, KS-282, KSK-133, KSK-434, MG-Basmati, and Lateefy carried the dominant allele while JP-5 and Fakhr-e-Malakand carried the mutant allele. The current phenotypic evaluation of the Germplasm revealed a diverse range of grain size of Pakistani landraces and also suggests that the selection of grain length in Pakistani landraces was independent of 1000-grain weight. The accessions with genotypic characterization will aid in marker-assisted breeding programs to break the stagnant yield prevail for the last few decades in Pakistan.

scholarly journals Source-sink Relationship and Their Influence on Yield Performance of YAU Promising Rice Lines

2020 ◽  
pp. 124-135
Author(s):  
Myint Aye ◽  
Chan Nyein Thu ◽  
Nyo Mar Htwe
Keyword(s):  
Grain Yield ◽  
Dry Weight ◽  
Yield Component ◽  
Grain Weight ◽  
Yield Performance ◽  
Component Traits ◽  
Yield Component Traits ◽  
Source Sink ◽  
1000 Grain Weight ◽  
Panicle Weight

Fifty YAU promising rice genotypes were used to evaluate source-sink relationship and yield performance in 2017 dry season. The experiment was conducted in the experimental field of Yezin Agricultural University, Nay Pyi Taw, Myanmar. The spacing was 20 cm between row and 20 cm between plants in a randomized complete block design with three replications. The data on physiological traits, yield and yield component traits were collected and analyzed by using STAR and R program. Growth duration1 is positively and significantly correlated with the number of grains panicle-1, filled grains percentage, grain yield, panicle weight, dry weight at heading and harvesting, straw weight and LAI at harvesting, and increase of dry weight from heading to harvesting. Significant positive correlation was found between growth duration2 and decrease of LAI from heading to harvesting indicating that these traits are strongly influenced by source before heading. Significant correlations between yield and physiological and yield component traits were observed except LAI at harvesting and 1000-grain weight. Therefore, yield variation among YAU promising rice lines is more related with source size than with sink size. Decrease of LAI from heading to harvesting and dry weight at maturity exhibited positive direct effect on 1000-grain weight, filled grains percentage and grain number m-2 meaning the relative contribution of source components to the sink. The contribution of the decrease of LAI from heading to harvesting to the grain yield was much higher than that of number of grains, panicle weight and 1000-grain weight. This research finding will be useful for the plant breeder to consider the improvement of yield supporting traits in the breeding program.

QTL Mapping and Interaction Analysis for 1000-Grain Weight and Percentage of Grains with Chalkiness in Rice

2009 ◽  
Vol 35 (2) ◽  
pp. 255-261 ◽  
Author(s):  
Li-Jun ZHOU ◽  
Ling JIANG ◽  
Xi LIU ◽  
Hong CHEN ◽  
Liang-Ming CHEN ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Interaction Analysis ◽  
Grain Weight ◽  
1000 Grain Weight

scholarly journals Stability Preformance of Some Introdused Genotype of Bread Wheat (triticum Aestivum L.)

2020 ◽  
Vol 23 (2) ◽  
pp. 236-245
Author(s):  
Mohammed Ali Hussain ◽  
Mhemmed Abdulrahman Sedeeq ◽  
Subhi Yassen Hassan
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Grain Weight ◽  
Phenotypic Variance ◽  
Stable Performance ◽  
The Stability ◽  
Different Response ◽  
1000 Grain Weight

This study was carried out to assess the stability and some genetic parameters of twelve diverse genotypes of bread wheat including Local variety rezgary as check. The genotypes were sown in three season, 2015-2016, 2016-2017 and 2017-2018. combained analysis of variance revealeted highly significant mean square of seasons for all the studied characters including different response of the genotype ATTILASOY exhibited stable performance across seasons for grain yield and 1000-grain weight followed by genotype FIAG-3, while other genotypes was diverse for characters stability. Also the results showed that, the phenotypic variance was highter than genotypic one all studied characters. The higher value of vrariance was observed in plant height (44.84) and 1000-grain weight (27.54). However the genotypic coefficient of variation (GCV) was low for all characters, while the modrate PCV was showen for grain yield and 1000-grain weight with values 18.67 and 13.87 respectively, indicating that the characters more affected by the environmental factors. Broad sences heritability was the modrate for plant height (0.59) and days to flowering (0.60) and low for the other character. The expected genetic advance values (GA) were low for all characters and ranged between 1.2 for hectoliter to 8.06 for plant height. So that suggested these characters improve by putting the genotype in hybridization programse.

scholarly journals Character association and path analysis studies in germplasm lines of rabi sorghum (Sorghum bicolor(L.) Moench)

2017 ◽  
Vol 9 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Santosh Khadakabhavi ◽  
G. Girish ◽  
Yashoda Yashoda
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Association Studies ◽  
Breeding Strategy ◽  
Grain Weight ◽  
Phenotypic Correlation ◽  
Direct And Indirect Effects ◽  
Component Traits ◽  
Positive Direct ◽  
1000 Grain Weight

The field experiment was carried out using 121 germplasm lines of rabi sorghum to study association among the yield and its component traits, direct and indirect effects of traits on the yield. Association studies indicat-ed that at both genotypic and phenotypic levels, panicle width (rg=0.190; rp=0.204) and 1000 grain weight (rg=0.450; rp=0.520) showed significantly positive correlation with grain yield per plant. Genotypic correlation magnitude was higher than phenotypic correlation. Partitioning of yield and yield components both at phenotypic and genotypic levels into direct and indirect effects revealed that the characters that had positive direct effects on grain yield were 1000 grain weight (Ppi=+0.3085, Pgi=+0.4621), panicle length (Ppi=+0.1516, Pgi=+0.2843), days to maturity (Ppi=+0.1539, Pgi=+0.1391) at both genotypic and phenotypic level. On grain yield indicating importance of these characters hence, due consideration should be given to these characters while planning a breeding strategy by utilizing rabisorghum.

QTL mapping and correlation analysis for 1000-grain weight and percentage of grains with chalkiness in rice

2013 ◽  
Vol 92 (2) ◽  
pp. 281-287 ◽  
Author(s):  
JIAN-MIN BIAN ◽  
HUAN SHI ◽  
CUI-JUAN LI ◽  
CHANG-LAN ZHU ◽  
QIU-YING YU ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Qtl Mapping ◽  
Grain Weight ◽  
1000 Grain Weight

A trait collection of spring groat barley

2018 ◽  
pp. 85-96
Author(s):  
I.A. Petukhova ◽  
V.K. Riabchun ◽  
V.A. Muzapharova ◽  
O.I. Padalka ◽  
T.A. Sheliakina ◽  
...  
Keyword(s):  
High Performance ◽  
Spring Barley ◽  
Vegetation Period ◽  
Grain Weight ◽  
Starting Material ◽  
Economic Traits ◽  
The Czech Republic ◽  
Science And Education ◽  
New Varieties ◽  
1000 Grain Weight

The goal of our research was to form a collection of groats barley, to search, to select and to evaluate starting material of spring barley for a set of valuable economic traits, technological properties and culinary qualities of barley groats. Results and Discussion. Basing on to the results of assessments, we identified selected 55 spring barley accessions, which were characterized by 17 traits and 75 expression levels. The collection includes accessions from 11 countries; the largest number of accessions (59) are from Ukraine; 39 – from Russia; 10 - from Belarus; 10 - from Germany; 6 - from France; 5 - from Kazakhstan; 4 - from Canada; 3 - from the Czech Republic; 2 – from Great Britain; 1 accesson is from Serbia; and 1 - from Austria. Accessions combining high levels of expression of different traits are the most valuable. They include the following accessions: Doridnyi, Vodohrai, Sviatomykhailivskyi, Svarozhych, Soka, Іlot (UKR). Naked accessions include: Akhilles (UKR), Mayskiy, Oskar, Golozyornyy 1, Omskiy Golozyornyy 1 (RUS), CDC Alamo, CDC Candle (CAN). These varieties can be starting material for creation of new modern high-performance spring groats barley varieties. Ten valuable accessions registered with the NCPGRU (Sovіra, Doridnyi, Soka, Vodohrai, Partner, Yukatan, Avhii, Svarozhych, Baskak, and Virtuoz) were included in the trait groats collection. Conclusions. Basing on the results of multiyear studies, we formed the trait collection of spring groats barley comprising 140 accessions from 11 countries. The collection includes 55 reference accessions that cover 17 traits (plant height, vegetation period, ear length, grain weight per ear, 1000-grain weight, grain shape, grain evenness, vitreousness, culinary qualities of barley groats, etc.) characterized by 75 levels of their expression. The collection is of considerable value for science and education. The accessions selected allow improving the efficiency of breeding to create new varieties with high technological and culinary properties as well as with a set of valuable economic characteristics.

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