Screening Sorghum Accessions for Resistance against Anthracnose and Grain Mold through Inoculating with Pathogens

2020 ◽  
pp. 73-83
Author(s):  
Louis K. Prom ◽  
Hugo Cuevas ◽  
Thomas Isakeit ◽  
Clint Magill
Keyword(s):  
Seed Weight ◽  
Germination Rate ◽  
Natural Infection ◽  
Block Design ◽  
Post Inoculation ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Grain Mold ◽  
Percent Germination ◽  
Mold Resistance

Aims: The aim of this study was to identify resistant accessions against pathogens, causing anthracnose and grain mold. Study Design: Study was laid out in a randomized complete block design with three replications. Data for anthracnose rating, grain mold severity, seed weight, and percent germination rate were analyzed using the command PROC GLM. Place and Duration of Study: The study was carried out at the Texas AgriLife Research Farm, Burleson County, Texas, in 2010, 2014, and 2015 growing seasons. Methodology: Forty-seven accessions were planted in 6 m rows 0.31 m spacing. Plants were inoculated by placing Colletotrichum sublineola colonized grain in the plant whorls 30 days after planting. Disease evaluation was initiated 30 days post-inoculation and thereafter on a weekly basis for three consecutive weeks. Grain mold experiment: Three treatments were used: 1) plants sprayed with A. alternata alone, 2) a mixture of A. alternata, F. thapsinum and C. lunata, 3) control plants sprayed with sterilized water and exposed to natural infection. At 50% bloom, three panicles per line within replication were inoculated for each treatment. Results: Eleven accessions, including PI641874, PI656070, PI656115, and PI534167 were consistently resistant when challenged with the anthracnose pathogen, C. sublineola. Accessions PI534047 and PI574455, exhibited resistance to moderately resistance grain mold response when challenged with the treatments. Seed weight, germination rate, and mycoflora analysis which are factors in determining grain mold resistance also were measured. Across the accessions, mean seed weight ranged from1.4 g to 4.3 g per 100 kernel and germination rate ranged from 26 to 87%.  Conclusion: The resistant accessions identified in this study can be used in breeding programs to develop anthracnose and grain mold resistance lines.

scholarly journals Sorghum Seed Fungal Community and Their Association with Grain Mold Severity, Seed Weight, and Germination Rate

2020 ◽  
pp. 14-19
Author(s):  
Louis K. Prom ◽  
Thomas Isakeit ◽  
Hugo Cuevas ◽  
Saradha R. Erattaimuthu ◽  
Roxanne Jacobsen
Keyword(s):  
Fungal Community ◽  
Seed Weight ◽  
Germination Rate ◽  
Fungal Species ◽  
South Texas ◽  
Curvularia Lunata ◽  
Growing Seasons ◽  
Grain Mold ◽  
Percent Germination ◽  
Alternaria Species

Grain mold, considered the most important disease of sorghum, is associated with several fungal genera. The disease reduces both yield and quality. In this study, over 300 sorghum seed samples collected from Texas, Florida, and Georgia were evaluated for grain mold severity, seed weight, germination rate, and seed fungal community. Grain mold severity of the seed samples, except for those collected from Cameron, Texas, were rated 3 or higher, indicating that these sorghum lines were moderately susceptible under naturally-infected field conditions during the 2016 and 2017 growing seasons. Seed weight across surveyed locations ranged from 1.1 g to 4.0g for samples collected in Texas during the same period. Percent germination rates for samples collected in Texas ranged from 59.6% to 86.7%. Sorghum samples collected from Florida and Georgia exhibited moderately susceptible response to grain mold infection. Mean seed weight was 1.9 g for samples collected from Florida, while in Georgia, mean seed weight was 2.3 g. Germination rate was low for samples collected from Florida and Georgia. Mycological analysis of sorghum seed samples collected from farmers’ fields in Central and South Texas during the 2016 and 2017 growing seasons showed Alternaria species as the most frequently isolated fungal genus, accounting for 40% and 42 % in 2016 and 2017, followed by Fusarium incarnatum, F. acuminatum, F. equiseti, & F. semitectum Complex. In Florida and Georgia, Fusarium incarnatum, F. acuminatum, F. equiseti, & F. semitectum Complex was the most frequently recovered fungal species, accounting for 77% and 72% of the total. genera/species isolated from seed samples. Other fungal species, including Curvularia lunata, Bipolaris sp., Colletotrichum sublineola, F. verticillioides, Penicillium sp., Aspergillus flavus, F. thapsinum, F. oxysporum, F. sporotrichioides, F. graminearum, F. proliferatum, and Aspergillus niger were also isolated from sorghum seeds in various frequencies. In conclusion, the presence of large number of fungal genera associated with grain deterioration and their effect on other traits, makes management of this disease complex challenging. To identify grain mold resistant sources in a region, using the most dominant species in that region to screen the sorghum germplasm is recommended.

scholarly journals Exposing Seeds of Sarcococca confusa to Increased Concentrations and Durations of Ethyl Methanesulfonate Reduced Seed Germination, Twinning, and Plant Size

HortScience ◽  
2019 ◽  
Vol 54 (11) ◽  
pp. 1902-1906 ◽  
Author(s):  
Tyler Hoskins ◽  
Ryan N. Contreras
Keyword(s):  
Seed Germination ◽  
Phenotypic Variation ◽  
Germination Rate ◽  
Plant Size ◽  
Mutation Breeding ◽  
Ethyl Methanesulfonate ◽  
Chemical Mutagenesis ◽  
Growing Seasons ◽  
Percent Germination ◽  
Future Evaluation

Sweetbox (Sarcococca confusa) is an evergreen shrub valued for attractive foliage, winter fragrance, black fruit, as well as shade and drought tolerance. The high degree of apomixis in Sarcococca limits the effectiveness of conventional breeding practices. However, mutation breeding may be a valuable tool to induce variation in seedling crops. As such, a study was conducted to expose seeds of S. confusa to ethyl methanesulfonate (EMS) at varying concentrations and exposure durations, and to evaluate the effects on seed germination, growth, and relative frequency of polyembryony. In 2010, seeds of S. confusa were treated with 0%, 0.2%, 0.4%, 0.8%, and 1.2% EMS for 24 and 48 hours. Seeds were sown and the relative germination and occurrence of polyembryony were recorded. Seedlings were later evaluated for size and phenotypic variation in the subsequent growing seasons. Percent germination was found to decrease with increasing EMS rates in the 24- and 48-hour treatments. The occurrence of polyembryony also decreased with increasing EMS rates in the 24-hour treatment but was observed to be greatest at 0.2% EMS. No significant differences in plant size index (SI) were found after four growing seasons. When mature, seeds were collected from any plants that bore fruit in each treatment and were then sown. The percentage of plants that bore fruit in each treatment decreased with increasing EMS rates, although the germination rate of these seeds did not differ. A chlorophyll mutant and several dwarf forms were identified in this population as well. They have been propagated asexually for future evaluation as new cultivars. This study demonstrates the utility of chemical mutagenesis to induce phenotypic variation in S. confusa while reducing the rate of polyembryony.

scholarly journals Strategies to select soybean segregating populations with the goal of improving agronomic traits

2018 ◽  
Vol 40 (1) ◽  
pp. 39324
Author(s):  
Fabiana Mota da Silva ◽  
Elise De Matos Pereira ◽  
Bruno Henrique Pedroso Val ◽  
Dilermando Perecin ◽  
Antonio Orlando Di Mauro ◽  
...  
Keyword(s):  
Plant Height ◽  
Genetic Gain ◽  
Seed Weight ◽  
Agronomic Traits ◽  
Block Design ◽  
Selection Strategy ◽  
Breeding Programs ◽  
Effective Selection ◽  
100 Seed Weight ◽  
Number Of Branches

The success of breeding programs depends on selection procedures and on the breeding methods adopted for selecting segregating populations. The objective of this study was to evaluate the efficiency of the Bulk method with selection in the F3 generation (BulkF3) compared to that of Bulk method as well as determine the most effective selection strategy in terms of genetic gain. Twenty segregating populations were selected by two methods. The 60 best families of each method were selected according to their average agronomic performance. An augmented block design was used. The following agronomic traits were evaluated: insertion height of first pod, plant height at maturity, number of branches and of pods per plant, 100-seed weight, and grain yield. For comparison of the methods, genetic component estimates, genetic gain and predicted breeding values were calculated using mixed models (REML and BLUP). The results showed the families obtained with the BulkF3 method were more productive, showed suitable plant height, a larger number of branches and pods, and higher 100-seed weight. The BulkF3 method was found to be an effective selection strategy for soybean improvement. 

scholarly journals Evaluating Performance of Sesame (Sesamum indicumL.) Genotypes in Different Growing Seasons in Northern Ethiopia

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Fiseha Baraki ◽  
Muez Berhe
Keyword(s):  
Grain Yield ◽  
Seed Weight ◽  
Agronomic Traits ◽  
Block Design ◽  
Sub Saharan Africa ◽  
Northern Ethiopia ◽  
Growing Seasons ◽  
Randomized Complete Block Design ◽  
Sub Saharan ◽  
Thousand Seed Weight

Ethiopia is one of the famous and major producers of sesame in sub-Saharan Africa, and Ethiopian sesame is among the highest quality in the world. The experiment was conducted in Northern Ethiopia for three growing seasons (2013–2015) under a rain fed condition with the objective of identifying high-yielding genotypes and their agronomic traits. The experiment consisted of twelve genotypes laid down in randomized complete block design with three replications. The genotype, year, and genotype × year interaction components showed statistically highly significant variation (p<0.001) for most of the agronomic traits which clearly confirms the presence of genotype × year interaction in this study. The highest combined mean grain yield (906.3 kg/ha) was obtained from Hirhir followed by Serkamo white (756.5 kg/ha), and from the three growing seasons, the highest grain yield (1161.5 kg/ha) was recorded from Hirhir grown in the second growing season (2014). The growing seasons were different from one another in allowing the genotypes to have a different performance, and all of the agronomic traits, except thousand seed weight, were statistically different across the three growing seasons. In the ordination of the genotypes and agronomic traits, PCA1, which accounted for 38.3% of the variation, was positively associated with grain yield, branches per plant, length of the pod-bearing zone, plant height, number of pods per plant, number of seeds per pod, and thousand seed weight. On the contrary, PCA2, which accounted for 19.7% of the variation, was positively associated with days to 50% flowering and days to 50% maturity.

scholarly journals Artificial neural network analysis of genetic diversity in Carica papaya L.

2011 ◽  
Vol 11 (3) ◽  
pp. 224-231 ◽  
Author(s):  
Cibelle Degel Barbosa ◽  
Alexandre Pio Viana ◽  
Silvana Silva Red Quintal ◽  
Messias Gonzaga Pereira
Keyword(s):  
Neural Network ◽  
Genetic Diversity ◽  
Artificial Neural Network ◽  
Block Design ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Randomized Complete Block Design ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural ◽  
Selection Of

The study of genetic diversity is fundamental in the preliminary selection of accessions with superior characteristics and for a successful use of these genotypes in breeding programs. The purpose of this study was to evaluate, as a strategy for genetic diversity analysis, the bioinformatics approach called artificial neural network. Based on the average of three growing seasons, eight quantitative traits and thirty-seven papaya accessions were evaluated in a randomized complete block design, with two replications. By Anderson's discriminant analysis, 91.90 % of the accessions were correctly classified in the groups previously defined by artificial neural network. It was concluded that the technique of artificial neural network is feasible to classify the accessions. The presence of significant genetic diversity among accessions was observed.

scholarly journals Correlations Among Grain Mold Severity, Seed Weight, and Germination Rate of Sorghum Association Panel Lines Inoculated With Alternaria alternata, Fusarium thapsinum, and Curvularia lunata

2021 ◽  
pp. 7-25
Author(s):  
Louis K. Prom ◽  
Ezekiel Ahn ◽  
Thomas Isakeit ◽  
Clint Magill
Keyword(s):  
Alternaria Alternata ◽  
Seed Weight ◽  
Fungal Pathogens ◽  
Germination Rate ◽  
Rank Correlation ◽  
Individual Treatment ◽  
Curvularia Lunata ◽  
Association Panel ◽  
Grain Mold ◽  
Fusarium Thapsinum

The sorghum association panel was evaluated for grain mold severity, seed weight, and germination rate. The 377 accessions were inoculated with Alternaria alternata alone, a mixture of A. alternata, Fusarium thapsinum, and Curvularia lunata, and untreated water-sprayed control during 2010, 2013-2015 growing seasons at the Texas AgriLife Research Farm, Burleson County, Texas. Each accession was evaluated at least twice. Across accessions, Spearman’s rank correlation was performed for non-parametric correlation analysis for grain mold severity, seed weight, and germination rate. There were significant negative correlations between grain mold severity with seed weight and germination rate for the individual treatment and when combined. A significant positive correlation between seed weight and germination rate was observed. The results indicated that higher grain mold severity reduces both sorghum seed weight and germination rate whether deliberately inoculated with fungal pathogens or naturally infected. It can be argued that correlations from this study were more robust due to a large number of accessions from all major sorghum races used and may represent the true association among the three parameters for this pathosystem. Thus, the use of grain mold-resistant lines, resulting in sound seeds and higher germination rates is recommended.

scholarly journals Evaluation of yield traits in some primitive wheat genotypes to ensure sustainability of wheat production

2020 ◽  
pp. 1-4
Author(s):  
Maysoun Mohamad Saleh ◽  
Fariza Alsarhan Alsarhan
Keyword(s):  
Yield Components ◽  
Agricultural Research ◽  
Block Design ◽  
Research Centre ◽  
Breeding Programs ◽  
Wheat Genotypes ◽  
Wheat Production ◽  
Growing Seasons ◽  
Randomized Complete Block Design ◽  
Superior Genotypes

Study was conducted at Al-Raqqa Research Centre in The General Commission for Scientific Agricultural Research in Syria during the growing seasons 2011/2012. Eight primitive wheat genotypes and two local cultivated varieties were planted in Randomized Complete Block Design in three replications, yield components (number of fertile tillers, number and weight of grains per spike and weight of thousand grain) were studied. Results showed that the genotype Persian 64 was significantly superior in three traits of yield components (number of fertile tillers, number and weight of grains per spike) comparing to the check sham5, and also the genotype Polish 194 was significantly superior in weight of thousand grain comparing to both checks sham3 and sham5 (53.12, 40.80, 40.02) g respectively with an increase rate 30.20% and 32.73% comparing to both checks sham3 and sham5 respectively. It is recommended to use the superior genotypes in breeding programs to ensure the sustainability of wheat production.

scholarly journals Morphological characterization and association of various yield and yield contributing traits in Brassica genotypes

2019 ◽  
Vol 30 (1) ◽  
pp. 39-47
Author(s):  
T Aktar ◽  
M Nuruzzaman ◽  
MS Rana ◽  
MA Hossain ◽  
L Hassan
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Correlation Coefficients ◽  
Morphological Characters ◽  
Morphological Characterization ◽  
Early Maturity ◽  
Breeding Programs ◽  
Randomized Complete Block Design ◽  
Number Of Seeds

An experiment was conducted to evaluate eighteen Brassica genotypes for various morphological characters and estimate association for yield and yield contributing traits. The experimented was executed following Randomized complete block design (RCBD) with three replications in the experimental farm of the department of Genetics and Plant Breeding, Bangladesh Agricultural University Mymensingh-2202. The nine yield attributing characters are studied in the experiment. The genotypes differed significantly for all the traits viz., days to 1st flowering, days to maturity, plant height, number of branches/plant, number of pod/plant, length of pod, number of seeds/pod, 1000-seed weight (g) and seed yield/plant (g).Considering the two most important traits like early maturity and yield /plant, BD-7114 performed best among the studied genotypes. Correlation coefficients among the characters were studied to determine the association between yield and it attributing components. A significant positive correlation was found between yield and its attributing characters namely with number of seeds/pod and 1000-seed weight. Path analysis revealed both direct and indirect effects on seed yield and revealed that number of seeds/pod had the highest direct effect on seed yield. The findings of the research could be exploited in future breeding programs for improving Brassica genotypes. Progressive Agriculture 30 (1): 39-47, 2019

scholarly journals The Heterosis and Combining Ability of Diallel Crosses of Rapeseed Inbred Lines

2011 ◽  
Vol 39 (2) ◽  
pp. 242 ◽  
Author(s):  
Mehmet SİNCİK ◽  
Abdurrahim Tanju GOKSOY ◽  
Metin Z. TURAN
Keyword(s):  
Analysis Of Variance ◽  
Combining Ability ◽  
Seed Weight ◽  
Block Design ◽  
F1 Hybrids ◽  
Brassica Napus L ◽  
Diallel Crosses ◽  
Growing Seasons ◽  
Randomized Complete Block Design ◽  
F1 Generation

The heterosis and combining ability of four rapeseed (Brassica napus L.) genotypes were estimated using diallel crosses. An experiment was conducted at Uludag University, Bursa, Turkey, during the 2005-2006 and 2006-2007 growing seasons using 4x4 full diallel crosses. All of the 12 F1 hybrids and their parents were planted in a randomized complete block design with three replications. The data obtained from the experiment were subjected to an analysis of variance. The analysis of variance indicated significant differences among parents and their hybrids in the F1 generation for all the characters studied except for 1000-seed weight, which was non-significant. Positive better-parent heterosis for seed yield per plant were found in all 12 hybrids tested. An analysis of the components of combining ability showed that general combining ability (GCA) and reciprocal combining ability (RCA) were highly significant (p ≤ 0.01) for plant height and number of pods per main raceme, whereas specific combining ability (SCA) was highly significant for all traits but 1000-seed weight. The parent genotypes PR1, PR3 and PR4 with the hybrids PR1 x PR3 and PR1 x PR4 showed higher GCA and SCA effects, respectively, and therefore could be used to develop high-yielding lines.

scholarly journals Identification of the Optimum Environments for the High Yield and Quality Traits of Lentil Genotypes Evaluated in Multi-Location Trials

2021 ◽  
Vol 13 (15) ◽  
pp. 8247
Author(s):  
Dimitrios N. Vlachostergios ◽  
Christos Noulas ◽  
Anastasia Kargiotidou ◽  
Dimitrios Baxevanos ◽  
Evangelia Tigka ◽  
...  
Keyword(s):  
Crude Protein ◽  
Agronomic Traits ◽  
High Yield ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Food And Feed ◽  
Superior Genotypes ◽  
Selection Of ◽  
The Ideal

Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis revealed different discriminating abilities and representativeness among the locations for the identification of the most productive and stable genotypes. Location E3 (Orestiada, Region of Thrace) was recognized as being optimal for lentil breeding, as it was the “ideal” or close to “ideal” for the selection of superior genotypes for SY, CP, CT and CPY. Adaptable genotypes (cv. Dimitra, Samos) showed a high SY along with excellent values for CP, CT and CPY, and are suggested either for cultivation in many regions or to be exploited in breeding programs.

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