scholarly journals Varietal characterization and categorization of barnyard millet varieties, cultivars and mutants for varietal identification

2020 ◽  
Vol 11 (02) ◽  
Keyword(s):  
Barnyard Millet ◽  
Varietal Identification ◽  
Varietal Characterization

Evaluation of Stable Morphological Traits in Soybean Collection Samples for Determination of Standard Varieties

2020 ◽  
pp. 67-77
Keyword(s):  
Seed Coat ◽  
Leaf Size ◽  
Flower Color ◽  
The Other ◽  
Main Stem ◽  
Complete Evaluation ◽  
Varietal Identification ◽  
Basic Color ◽  
Dark Color ◽  
Generative Organs

For identification of varieties, it is desirable to use genetically predetermined traits that are decisive for the varietal identification of the distinguishing characteristics of the varieties production and new genotypes for selection. The presence a complete evaluation of the selection samples a particular crop is the basis for the formation of informative databases characteristics the varieties of standards used in plant examination to determine the level of expression a characteristic particular genotype according to the code of their manifestation. For the 20 traits we used to identify, we identified 6 least volatile, highly trait-stable traits over the years of study to identify. These are: “coloring of the pubescence of the main stem”, “the size of the lateral leaf”, “the intensity of green leaf color”, “flower color”, “the intensity of brown bean color”, “basic color of the seed coat”. The other 14 traits are highly variable and unstable among varieties, but may be significant under certain conditions. According to the results of the research we have determined the conformity of the collection varieties by code graduation. In the study, we selected varieties with corresponding codes of attributes of the reference varieties the UPOV technique. On the basic of the color the pubescence of the main stem, 36% varieties are with grey stem pubescence. Among the standards: Apache, Alaric, Talon according to the grey color of the pubescence, we identified varieties Zolotysta, Ozzie, Diona. The 2947 564/84, Stepnaya-90, Knyazhna. The lateral leaf size is a sign that affects the increase in green mass of plants and subsequently on productivity. Graduation of the sign small size of leaf had varieties: Zuma, Ksenya; middle – Heinong 37, Yuh-30; large – 2947 564/84, Vinni, DSS 2504. The following is a sign of the intensity of leaf plate, which is divided by gradation into light, moderate and dark. Among our samples with a light degree of color, we can distinguish Diona, Sribna Ruta, and Zuma. For varieties with moderate gradation of color are selected: Perlyna, 93/99, Knyazhna. To the dark color of the leaf plate we attributed the varieties: Stepnaya-90, Ozzie. Among the varieties we studied of the basics of flower color 37% varieties are with a white flower, and 63% with a purple. According to the varieties of standards: Chandor, Cresir, Toreador to the white color of the flower we attributed varieties Knyazhna, Ozzie, Zolotysta. With the purple color of the flower we have selected varieties: 93/99, Zhemchuzhna, Heinong 37. On the basis of the intensity of brown color bean, which characterizes the generative organs of the plant, is divided into weak, moderate and strong, but the other identifiers there are gradations: sandy, gray, light brown, brown and dark brown, so we decided what would be better identify by color gradation. To the sandy color of the beans we attributed varieties Perlyna, Yuh-30; gray – Sribna Ruta; light brown – Kobza, Knyazhna; brown – Ksenya; dark brown – Zhemchuzhna, Vinni. Important features that identify the description of varieties include basic color of the seed coat, which affects the taste of the seeds. In particular, the seeds are divided by color into yellow – Kobza, Yuh-30; yellow-green – Vinni, Luch Nadezhdy; green – Heorhina; light brown – 2947 564/84, brown – DSS 2504; dark brown – 2974 YS-24 and black color – not detected. Following the results of the previous collection of soybean varieties from the morphological sings of vegetative, generative organs of plants, it was possible to identify varieties with stable manifestation of standard identifying sings of soybean. Collection varieties with one standard characteristics: Heinong 37, Luch Nadezhdy, DSS 2504, 2974 YS-24; two signs: Zolotysta, Diona, Stepnaya-90, Zuma, Ksenya, Heorhina, Sribna Ruta, Perlyna, 93/99, Zhemchuzhna; three signs: Ozzie, 2947 564/84, Yuh-30, Vinni, Knyazhna.

Adoption of improved cassava varieties in Nigeria: Insights from DNA fingerprinting versus self-reporting varietal identification approaches

2021 ◽  
pp. 003072702199003
Author(s):  
Patience Ifeyinwa Opata ◽  
Oguejiofor Joseph Okorie ◽  
Juliana Chinasa Iwuchukwu ◽  
Chukwuma Otum Ume ◽  
Oyakhilomen Oyinbo
Keyword(s):  
Measurement Errors ◽  
Empirical Studies ◽  
Sub Saharan Africa ◽  
Limited Attention ◽  
Adoption Studies ◽  
Hidden Hunger ◽  
Varietal Identification ◽  
Sub Saharan ◽  
Cassava Varieties

Much of the empirical studies on crop varietal adoption in Sub-Saharan Africa relied on self-reported adoption in farm-household surveys, which is prone to measurement errors. In addition, farmers’ perceptions of consumption-related varietal traits in adoption studies has received limited attention compared with production-related traits. Using DNA-based and self-reported adoption measures, we analyze the adoption of improved cassava varieties (ICVs) with a focus on the extent of varietal misidentification, the sensitivity of the drivers of adoption to varietal misidentification and the role of farmers’ perceptions of biofortification trait in adoption decisions. We find that the adoption rate of ICVs is relatively high using both DNA-based and self-reported adoption measures, but there is notable misclassification in varietal adoption. We find that the mismatch in DNA-based and self-reported adoption measures leads to some variation in the factors that influence the likelihood and intensity of adoption of ICVs. This suggests that appropriate varietal identification helps in better understanding of the drivers of adoption. In addition, we find that despite the observed varietal misclassification, farmers’ perceptions of biofortification trait is significantly correlated with the probability and intensity of adoption of ICVs using both DNA-based and self-reported varietal identification. This suggests that inclusion of biofortification trait in cassava matters for both the likelihood and extent of adoption of ICVs. The latter lends credence to the emerging policy interests in breeding programs for biofortified crops to address hidden hunger in Nigeria.

scholarly journals Optimal use of SSR markers for varietal identification of upland cotton

2015 ◽  
Vol 50 (7) ◽  
pp. 571-581 ◽  
Author(s):  
Guilherme da Silva Pereira ◽  
Ana Luíza Ramos Cazé ◽  
Michelle Garcia da Silva ◽  
Vanessa Cavalcante Almeida ◽  
Fernanda Oliveira da Cunha Magalhães ◽  
...  
Keyword(s):  
Genetic Distance ◽  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Group Method ◽  
Discrimination Power ◽  
Arithmetic Average ◽  
Pair Group ◽  
Varietal Identification ◽  
The World ◽  
The Mean

Abstract: The objective of this work was to identify polymorphic simple sequence repeat (SSR) markers for varietal identification of cotton and evaluation of the genetic distance among the varieties. Initially, 92 SSR markers were genotyped in 20 Brazilian cotton cultivars. Of this total, 38 loci were polymorphic, two of which were amplified by one primer pair; the mean number of alleles per locus was 2.2. The values of polymorphic information content (PIC) and discrimination power (DP) were, on average, 0.374 and 0.433, respectively. The mean genetic distance was 0.397 (minimum of 0.092 and maximum of 0.641). A panel of 96 varieties originating from different regions of the world was assessed by 21 polymorphic loci derived from 17 selected primer pairs. Among these varieties, the mean genetic distance was 0.387 (minimum of 0 and maximum of 0.786). The dendrograms generated by the unweighted pair group method with arithmetic average (UPGMA) did not reflect the regions of Brazil (20 genotypes) or around the world (96 genotypes), where the varieties or lines were selected. Bootstrap resampling shows that genotype identification is viable with 19 loci. The polymorphic markers evaluated are useful to perform varietal identification in a large panel of cotton varieties and may be applied in studies of the species diversity.

scholarly journals Development of barnyard millet snack food : Part I

2015 ◽  
Vol 6 (2) ◽  
pp. 238-245 ◽  
Author(s):  
R.V. JAYBHAYE ◽  
P.P. SRIVASTAV
Keyword(s):  
Snack Food ◽  
Barnyard Millet

scholarly journals CHEMICAL COMPOSITION OF VARIETY OF HERBAGE MIXTURESVERSUSCONSTITUENTS AND SOWING TIME IN THE ARID STEPPE ZONE OF KAZAKHSTAN

2021 ◽  
Vol 56 (1) ◽  
pp. 69-74
Author(s):  
А.I. Kurbanbayev ◽  
◽  
А.A. Baitelenova ◽  
A.B. Abdirova ◽  
◽  
...  
Keyword(s):  
Chemical Composition ◽  
Nutritional Quality ◽  
Crude Protein ◽  
Steppe Zone ◽  
Sowing Time ◽  
Barnyard Millet ◽  
Sudan Grass ◽  
The Third ◽  
Arid Steppe ◽  
Control Variant

The article describes the nutritional quality and chemical composition of a variety of herbage mixtures versus on the sowing time and constituents in the arid steppe zone of Kazakhstan. The biennium average data for the study years are given. The second and third decades of May were chosen as the sowing date. Three types of herbage mixtures were investigated in two sowing periods: 1. barley, peas, Sudan grass, hybrid of sorghum-Sudan grass, rapeseed; 2. barley, peas, Sudanese grass, hybrid of sorghum-Sudan grass, barnyard millet; 3. barley, peas, hybrid sorghum-Sudan grass, African millet. In the course of the sowing period, the content of crude protein in the herbage mixtures in the third decade of May was as high as in nitrogen-free extracts (NFE). Depending on the components of the herbage mixtures, the highest indicator of crude protein in the mixture of African millet was 2.87% and 2.74%. NFE in the herbage mixture of cockspur was higher by 0.07-0.16% than in the control variant (herbage mixture with rapeseed). Periods of emergence and germination of grain varieties in the composition of herbage mixtures coincided with the July precipitation, expressed by good leaf coverage, high content of crude protein, carotene, NFE compared to the control variant. The optimum sowing life, in terms of nutritional quality, chemical composition of herbage mixtures with African millet and barnyard millet in the dry steppe zone of Kazakhstan, was the third decade of May.

scholarly journals Assessment of genetic diversity in Indian Barnyard millet (Echinochloa spp. complex) using morphological and molecular markers

2016 ◽  
Vol 8 (3) ◽  
pp. 1643-1648 ◽  
Author(s):  
M. P. Moharil ◽  
Dipti Gawai ◽  
N. Dikshit ◽  
M.S. Dudhare ◽  
P. V. Jadhav
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Genetic Improvement ◽  
Molecular Diversity ◽  
Genetic Relationships ◽  
Barnyard Millet ◽  
Clear Cut ◽  
Cultivated Species ◽  
High Degree

In the present study, morphological and molecular markers (RAPD primers) were used to analyze the genetic diversity and genetic relationships among 21 accessions of Echinochloa spp. complex comprising the wild and cultivated species collected from Melghat and adjoining regions of Vidarbha, Maharashtra. The availability of diverse genetic resources is a prerequisite for genetic improvement of any crop including barnyard millet. A high degree of molecular diversity among the landraces was detected. Among the 21 genotypes, two major groups (A and B) were formed, at 67.28 % similarity, which clearly encompasses 15 accessions of E. frumentacea and 6 accessions of E. colona. Higher similarity was observed in accessions of E. frumentacea. The accessions IC 597322 and IC 597323 also IC 597302 and IC 597304 showed more than 94% similarity among themselves. The classification of genetic diversity has enabled clear-cut grouping of barnyard millet accessions into two morphological races (E. frumentacea and E. colona).

scholarly journals Standardization of duration for accelerated ageing in barnyard millet cv. CO2 and MDU 1

2018 ◽  
Vol 9 (3) ◽  
pp. 1234
Author(s):  
S. Venkatesan ◽  
K. Sujatha ◽  
R. Geetha ◽  
N. Senthil
Keyword(s):  
Accelerated Ageing ◽  
Barnyard Millet
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