scholarly journals Niğde Altunhisar Yöresi Bademlerinin Seleksiyonu

2014 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Gülsüm Alkan ◽  
Faik Ekmel Tekintaş ◽  
Halil Güner Seferoğlu ◽  
Engin Ertan
Keyword(s):  
Shell Thickness ◽  
Kernel Weight ◽  
Color Intensity ◽  
Kernel Size ◽  
Kernel Width ◽  
Kernel Color ◽  
Kernel Length ◽  
Superior Genotypes ◽  
Second Year ◽  
Suture Opening

This study was to carried out to determine of promosing almond genotypes in Altunhisar county of Niğde province in 2013. 280 genotypes in terms of nut size, suture opening of the shell, shell thickness, softness of the shell, kernel color intensity, shriveling of kernel, kernel pubescence, kernel taste, percentage of double kernel, percentage of sound kernel, nut weight, shell thickness, nut length, nut width, nut thickness, nut shape, marking of outer shell, shell color, kernel weight, kernel length, kernel width, kernel thickness, kernel ratio, kernel size, percentages of twin kernels, width indice and thickness indice were examined. The genotyips had more than 0.70 g kernel weight and %25 kernel rate were taken for evaluation, Total Weight-Ranked Points were calculated with considering genotype quality situations. Nut size, suture opening of the shell, softness of the shell, kernel color, shriveling of kernel, kernel pubescence, kernel taste, percentage of double kernel, percentage of sound kernel etc. characters were used. 15 genotypes (98, 160, 196, 187, 162, 191, 282, 168, 176, 261, 213, 6, 112, 147, 241 ) taken highest points were selected as promosing genotypes. Selected genotypes had 2.37 (no 187) – 3.80 (no 241) g nut weight; 0.71 (no 187) – 1.0 (no 241) g kernel weight; %25.17 (no 162) - 29.97 (no 6) kernel ratio; 1.96 (no 282) – 3.29 (no 162) mm shell thickness; %0.00 – 19.00 percentage of double kernel; %0.00 – 5.00 percentage of twin kernel. It was found that in terms of softness of the shell,15 genotype was very hard; in terms of kernel weight, 14 genotypes were small and 1 genotype was medium; in terms of kernel taste, 12 genotypes were sweet and 3 genotypes were intermediate; in terms of kernel pubescence, 6 genotypes were intermediate, 9 genotypes were low; in terms of color intensity, 8 genotypes were intermediate light and 1 genotype was light and 6 genotypes were dark. In the begining of vegetation in 2014, in promosing genotypes, phenological observations will be taken and in the end of the second year of the research, superior genotypes will be determined.

Relationship between extract viscosity and kernel size in winter rye

1998 ◽  
Vol 78 (3) ◽  
pp. 423-427
Author(s):  
Y. T. Gan ◽  
J. G. McLeod ◽  
G. J. Scoles ◽  
G. L. Campbell
Keyword(s):  
Secale Cereale ◽  
Kernel Weight ◽  
Selection Strategy ◽  
Winter Rye ◽  
Kernel Size ◽  
Kernel Width ◽  
Secale Cereale L ◽  
The Relationship ◽  
Efficient Selection ◽  
Selection Of

Rye (Secale cereale L.) grain with low extract viscosity (EV) and superior kernel characteristics is desired when used in diets of monogastric animals. Knowledge of the relationship between EV and kernel characteristics is needed to develop an efficient selection strategy for breeding cultivars that meet the two criteria. Grains of 11 open-pollinated population varieties/lines grown in 21 environments were studied to determine the relationship between EV and kernel weight (KWT) among genotypes and environmental effects. Grains of eight out of the eleven varieties/lines were screened into five kernel-size categories, <2.0, 2.0–2.4, 2.4–2.8, 2.8–3.2, >3.2 mm in kernel width, to determine the relationship between EV and kernel width within a genotype. EV was a linear function of KWT; high KWT is indicative of low EV. The degree of the relationship was affected by environment. For example, grains grown at Swift Current had a stronger relationship between EV and KWT than those from Lacombe (b = −1.67 vs. −0.31). For the grain from Swift Current, 60% of variability in EV was attributable to KWT, while for the grain from Lacombe only ≈ 20% of variability in EV was explainable by KWT. Among the various kernel-width categories within a genotype, 60 to 98% of variability in EV was attributable to kernel width, with some genotypes responding to a greater degree than others. In development of winter rye cultivars low in extract viscosity, breeders could combine kernel weight/width into the selection strategy to enhance the selection progress or use kernel weight/width as a reference in selection of extract viscosity trait. Key words: Pentosans, arabinoxylans, kernel weight, Secale cereale

scholarly journals Xenia studies in exotic and indigenous almond (Prunus amygdalus L.) varieties of Kashmir, India

2020 ◽  
Vol 12 (2) ◽  
pp. 244-251
Author(s):  
Shabeena Majid ◽  
Amit Kumar ◽  
Sabia Bashir ◽  
Seerat-ul-Nisa ◽  
Asima Amin ◽  
...  
Keyword(s):  
Kernel Weight ◽  
Research Station ◽  
Prunus Amygdalus ◽  
Kernel Size ◽  
Dryland Agriculture ◽  
Kernel Quality ◽  
Kernel Length ◽  
Selection Of ◽  
Recipient Parent

Pollination is very important to obtain an economic yield, and the selection of pollinizer with suitable quality and quantity of pollen is an essential practice in different fruit plants. The effects of pollen parent on kernel and nut characters are known to occur in several nut crops and to determine the best pollinizer and effect of pollen source on the nut and kernel quality of almond (Prunus amygdalus L.). The present investigation was carried out at the experiment farm of Dryland Agriculture Research Station (DARS), SKUAST-Kashmir for two consecutive years, i.e. 2008 and 2009. Various cross combinations were made among nine almond (three exotic and six indigenous) varieties/selections which are compatible with each other. Their nut and kernel characteristics were determined and observed maximum nut weight (2.21 g), nut length (39.78 mm) and nut breadth (20.33 mm), kernel weight (1.28 g), kernel length (28.63 mm) and kernel breadth (12.61 mm) and shelling percentage (57.99 %). In the present study it has been observed that the parent with big nut and kernel size and weight influenced the nut and kernel size; nut and kernel weight of the recipient parent significantly (p?0.05).

QTL mapping of 1000-kernel weight, kernel length, and kernel width in bread wheat (Triticum aestivum L.)

2010 ◽  
Vol 51 (4) ◽  
pp. 421-429 ◽  
Author(s):  
P. Ramya ◽  
A. Chaubal ◽  
K. Kulkarni ◽  
L. Gupta ◽  
N. Kadoo ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Qtl Mapping ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
Kernel Width ◽  
Kernel Length

scholarly journals Preliminary results of Turkish hazelnut (Corylus colurna L.) populations for testing the nut characteristics

Genetika ◽  
2018 ◽  
Vol 50 (2) ◽  
pp. 669-686
Author(s):  
Sezgin Ayan ◽  
Erkan Ünalan ◽  
Oytun Sakici ◽  
Esra Yer ◽  
Fulvio Ducci ◽  
...  
Keyword(s):  
Kernel Weight ◽  
Population Variation ◽  
Compression Index ◽  
Black Sea Region ◽  
Kernel Width ◽  
The North ◽  
Population Discrimination ◽  
Kernel Length ◽  
Different Populations ◽  
Representative Samples

This paper aims to identify the hazelnut characteristics of four different populations (A?l?-Tunuslar, A?l?-M?sellimler, Ara?-G?zl?k and Tosya-K???ksekiler) in the North Western Black Sea Region of Turkey, one of the most important areas of economic interest for this species. There, the Turkish hazel (Corylus colurna L.) grows in its optimal conditions and reveals relatively high inter-population and intra-population variation in terms of nut characteristics. With the purpose of assessing variation, measurements were performed in four populations in Kastamonu district on 14 different nut characteristics (number of nuts per cluster, nut length (mm), nut width (mm), nut thickness (mm), shell thickness (mm), nut size (mm), nut shape, compression index, nut weight (g), kernel length (mm), kernel width (mm), kernel thickness (mm), kernel weight (g) and kernel ratio (%) of representative samples of the populations. Significant differences were found out among populations with regard to all of nut characteristics (p<0.05). The four populations have created two groups, population of A?l?-Tunuslar and the others, according to cluster analysis. The closest populations have been Tosya-K???ksekiler and Ara?-G?zl?k in terms of nut characteristics. According to the results obtained either on population basis or without population discrimination; significant correlations were determined between the majorities of the nut characters. The Ara?-G?zl?k population showed nuts the biggest among those examined and it is the population which took the highest values in terms of nut size traits while the Tosya-K???ksekiler provenance showed the highest values with the average values of 5, 15.92 mm, 1.32 and 11.75 mm respectively for nuts per cluster, nut width, compression index and kernel width. The A?l?-Tunuslar population showed the highest kernel ratio with 38.2%.

scholarly journals Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size

2021 ◽  
Vol 12 ◽  
Author(s):  
Juan Ma ◽  
Lifeng Wang ◽  
Yanyong Cao ◽  
Hao Wang ◽  
Huiyong Li
Keyword(s):  
Differential Expression ◽  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Differential Expression Analysis ◽  
Inbred Lines ◽  
Kernel Size ◽  
Maize Kernel ◽  
Association Panel ◽  
Kernel Length ◽  
A Genome

Kernel length, kernel width, and kernel thickness are important traits affecting grain yield and product quality. Here, the genetic architecture of the three kernel size traits was dissected in an association panel of 309 maize inbred lines using four statistical methods. Forty-two significant single nucleotide polymorphisms (SNPs; p &lt; 1.72E-05) and 70 genes for the three traits were identified under five environments. One and eight SNPs were co-detected in two environments and by at least two methods, respectively, and they explained 5.87–9.59% of the phenotypic variation. Comparing the transcriptomes of two inbred lines with contrasting seed size, three and eight genes identified in the association panel showed significantly differential expression between the two genotypes at 15 and 39 days after pollination, respectively. Ten and 17 genes identified by a genome-wide association study were significantly differentially expressed between the two development stages in the two genotypes. Combining environment−/method-stable SNPs and differential expression analysis, ribosomal protein L7, jasmonate-regulated gene 21, serine/threonine-protein kinase RUNKEL, AP2-EREBP-transcription factor 16, and Zm00001d035222 (cell wall protein IFF6-like) were important candidate genes for maize kernel size and development.

scholarly journals Analysis of Genotypic Variation and Selection of Superior Genotypes of Balanites roxburghii Planch. from South India

2021 ◽  
Author(s):  
Guggalada Govardhana Yadav ◽  
Niranjana Murthy Hosakatte
Keyword(s):  
Genotypic Variation ◽  
Morphological Characterization ◽  
Fruit Weight ◽  
Kernel Weight ◽  
Biodiesel Production ◽  
Seed Kernel ◽  
Superior Genotypes ◽  
Fruit Characters ◽  
Important Medicinal Plant ◽  
Selection Of

Abstract Balanites roxburghii is an important medicinal plant of India and is used in the treatment of various diseases and disorders. Seeds possess a high amount of oil and could be used in biodiesel production. This plant is also a source of diosgenin, a therapeutically useful compound. Domestication of this plant provides opportunities for the commercial production of those valuable products. Hence the present study was planned to assess the variability of B. roxburghii in Southern India and identifying the superior genotypes based on the morphological characterization. A total of 45 accessions from 35 populations were collected and variation in 9 quantitative and 3 qualitative morphological traits related to fruits was analyzed. Fruit weight showed the highest variation, ranging from 10.23 g in the accession KA-04C to 37.69 g in TN-03. Pulp weight was ranged from 1.71 g in KA-04C to 10.24 g in TN-03. Seed kernel weight was highest in TE-04 (3.87 g) followed by KA-04A (3.21 g) and TE-05A (2.98 g). PCA analysis showed that fruit weight, fruit length, fruit width, pulp weight, rind weight, and endocarp weight were the major traits contributing to the diversity. Cluster analysis resulted in the formation of 4 groups and among them, 2 accessions of clusters 3 and 6 accessions of cluster 4 showed superior fruit characters by having the highest fruit weight, pulp weight, and seed kernel weight. Accessions of these groups could be considered in future domestication programs.

scholarly journals Genome Size: A Novel Predictor of Nut Weight and Nut Size of Walnut Trees

HortScience ◽  
2018 ◽  
Vol 53 (3) ◽  
pp. 275-282 ◽  
Author(s):  
Saadat Sarikhani Khorami ◽  
Kazem Arzani ◽  
Ghasem Karimzadeh ◽  
Abdolali Shojaeiyan ◽  
Wilco Ligterink
Keyword(s):  
Genetic Diversity ◽  
Genome Size ◽  
Plant Genetic Resources ◽  
Kernel Weight ◽  
High Yield ◽  
Phenotypic Analysis ◽  
High Genetic Diversity ◽  
Breeding Programs ◽  
Superior Genotypes ◽  
Southwest Of Iran

Plant genetic diversity is the fundamental of plant-breeding programs to improve desirable characteristics. Hence, evaluation of genetic diversity is the first step in fruit-breeding programs. Accordingly, the current study was carried out to evaluate 25 superior walnut genotypes in respect of phenotypic and cytological characteristics. For this purpose, 560 walnut genotypes in southwest of Iran were evaluated based on UPOV and International Plant Genetic Resources Institute (IPGRI) descriptor. After a 2-year primary evaluation, 25 superior genotypes were selected for future phenotypic and genome size assessment. Flow cytometry was used to estimate genome size of the selected superior genotypes. A high genetic diversity was found in walnut population collected from the southwest of Iran. The selected superior genotypes had high yield, lateral bearing, thin-shell thickness (0.90–1.64 mm), high nut (12.54–19.80 g) and kernel (7.02–9.91 g) weight with light (L) to extra light (EL) kernel color which easily can be removed from the shell. Also, FaBaCh2 genotype turned out to be protogynous being important as a pollinizer cultivar. In addition to extensive phenotypic analysis, genome size was determined. The studied genotypes were diploid (2n = 2x = 32) and varied in genome size from 1.29 (FaBaAv2) to 1.40 pg (FaBaNs12). Correlation analysis showed that lateral bearing, budbreak date, nut size, and weight were the main variables contributing to walnut production. A linear relationship was found between genome size and nut weight (r = 0.527**), kernel weight (r = 0.551**), and nut size index (NSI) (r = 0.487**). Therefore, genome size can be considered as a strong and valuable tool to predict nut and kernel weight and nut size.

scholarly journals Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

BMC Genetics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Jian Ma ◽  
Han Zhang ◽  
Shuiqin Li ◽  
Yaya Zou ◽  
Ting Li ◽  
...  
Keyword(s):  
Genetic Map ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Snp Array ◽  
Kernel Weight ◽  
Phenotypic Variance ◽  
Kernel Length ◽  
Kasp Marker ◽  
Kernel Traits ◽  
Major Qtl

Abstract Background Kernel length (KL), kernel width (KW) and thousand-kernel weight (TKW) are key agronomic traits in wheat breeding. Chuannong16 (‘CN16’) is a commercial cultivar with significantly longer kernels than the line ‘20828’. To identify and characterize potential alleles from CN16 controlling KL, the previously developed recombinant inbred line (RIL) population derived from the cross ‘20828’ × ‘CN16’ and the genetic map constructed by the Wheat55K SNP array and SSR markers were used to perform quantitative trait locus/loci (QTL) analyses for kernel traits. Results A total of 11 putative QTL associated with kernel traits were identified and they were located on chromosomes 1A (2 QTL), 2B (2 QTL), 2D (3 QTL), 3D, 4A, 6A, and 7A, respectively. Among them, three major QTL, QKL.sicau-2D, QKW.sicau-2D and QTKW.sicau-2D, controlling KL, KW and TKW, respectively, were detected in three different environments. Respectively, they explained 10.88–18.85%, 17.21–21.49% and 10.01–23.20% of the phenotypic variance. Further, they were genetically mapped in the same interval on chromosome 2DS. A previously developed kompetitive allele-specific PCR (KASP) marker KASP-AX-94721936 was integrated in the genetic map and QTL re-mapping finally located the three major QTL in a 1- cM region flanked by AX-111096297 and KASP-AX-94721936. Another two co-located QTL intervals for KL and TKW were also identified. A few predicted genes involved in regulation of kernel growth and development were identified in the intervals of these identified QTL. Significant relationships between kernel traits and spikelet number per spike and anthesis date were detected and discussed. Conclusions Three major and stably expressed QTL associated with KL, KW, and TKW were identified. A KASP marker tightly linked to these three major QTL was integrated. These findings provide information for subsequent fine mapping and cloning the three co-localized major QTL for kernel traits.

scholarly journals Path correlation and Bayesian analysis on popping expansion components in popcorn hybrids

2020 ◽  
Vol 38 (1) ◽  
pp. 3-8
Author(s):  
Gustavo Hugo Ferreira de Oliveira ◽  
Gabriela Pelegrini ◽  
Tâmara Rebecca Albuquerque De Oliveira ◽  
Maisa Nascimento Carvalho ◽  
Gustavo Vitti Môro
Keyword(s):  
Bayesian Network ◽  
Path Analysis ◽  
Negative Correlation ◽  
Block Design ◽  
Kernel Size ◽  
Cause And Effect ◽  
Superior Genotypes ◽  
Grain Width ◽  
Individual Grains ◽  
Expansion Volume

Knowing the cause and effect among two or more traits can help to increase the selection accuracy of superior genotypes. The main objective of this study was to evaluate the cause and effect relationship between expansion volume and kernel size in popcorn hybrids using path analysis and Bayesian network. A total of 41 popcorn hybrids were evaluated through a randomized complete block design (RCBD) with two replicates in the city of Jaboticabal, Brazil. The assessed traits were grain length (GL),grain thickness (GT), grain width (GW), caryopsis roundness index (CRI), mass of 50 grains (MG), and expansion volume (EV). Measurements were performed on individual grains, using three 50-grain samples from each plot. Pearson’s correlation coefficient, path analysis and Bayesian network were estimated. A negative correlation was detected among EV and the traits, except for GT. Path analysis indicated that MG has a direct and positive effect on EV and the negative correlation observed is mainly due to the indirect effects by GL and GT. Bayesian networks did not detect a direct association between kernel size and expansion volume while indicating that GT is the only trait that can affect popcorn flake size.

scholarly journals A 1BL/1RS translocation contributing to kernel length increase in three wheat recombinant inbred line populations

2020 ◽  
Vol 56 (No. 2) ◽  
pp. 43-51
Author(s):  
Shui Qin Li ◽  
Hua Ping Tang ◽  
Han Zhang ◽  
Yang Mu ◽  
Xiu Jin Lan ◽  
...  
Keyword(s):  
In Situ Hybridization ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred ◽  
Wheat Yield ◽  
Kernel Weight ◽  
Translocation Line ◽  
Wheat Kernel ◽  
Kernel Length

The 1BL/1RS wheat-rye translocation has been widely utilized in wheat genetic improvement and breeding programs. Our understanding on the effects of the 1BL/1RS translocation on wheat kernel size (e.g. length and width) is limited despite of numerous studies reporting about the effects on kernel weight. Here, we identified a wheat 1BL/1RS translocation line 88-1643 with higher kernel length (KL) using fluorescence in situ hybridization (FISH), genomic in situ hybridization (GISH) and molecular markers. To detect the possible role of the 1BL/1RS translocation in KL, kernel width (KW), and thousand-kernel weight (TKW), three recombinant inbred line (RIL) populations were constructed by crossing 88-1643 and three other wheat lines. As expected, the results showed that the values of KL in lines carrying 1RS were significantly higher than those carrying 1BS in three RIL populations at multiple environments, indicating that a major and stably expressed allele or gene responsible for increasing KL is most likely located on 1RS from 88-1643. Additionally, in one RIL population, the increased KL contributed significantly to the increase in TKW. Collectively, the 1BL/1RS translocation reported here is of interest to reveal molecular mechanism of the gene controlling KL and will be useful for improving wheat yield.

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