scholarly journals Selection of Diploid and Tetraploid Banana Hybrids Resistant to Pseudocercospora fijiensis

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2483
Author(s):  
Zalmar Santana Gonçalves ◽  
Anelita de Jesus Rocha ◽  
Fernando Haddad ◽  
Vanusia Batista de Oliveira Amorim ◽  
Claudia Fortes Ferreira ◽  
...  
Keyword(s):  
Quantitative Resistance ◽  
Severity Index ◽  
Black Sigatoka ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Total Period ◽  
Progress Curve ◽  
Evaluation Time ◽  
Pseudocercospora Fijiensis ◽  
Selection Of

Black Sigatoka, a disease caused by the fungus Pseudocercospora fijiensis, can lead to the complete loss of banana and plantain production in the absence of chemical control. The development of resistant cultivars is the focus of many banana breeding programs and is an alternative to the use of fungicides. In order to define a refined method of selection in genetic breeding programs, this study evaluated 23 improved diploids, seven tetraploids, and two commercial cultivars in the presence of P. fijiensis. Four selection criteria were considered: means of the disease severity index (ID) and area under the disease progress curve (AUDPC) estimated over the total period of the experiment, only in summer, only in winter, and the emission and harvesting of bunches. The selection of genotypes was more effective in the winter, and the evaluation of four leaves no. 3 emitted after six months of growth was efficient at differentiating the resistant and susceptible genotypes. For the improved diploids and tetraploid hybrids, DI varied from 0.0 to 48.8 and from 15.1 to 63.5, respectively, and the AACPD for the improved hybrids and tetraploid hybrids varied from 0.0 to 2439.5 and 1000.2 to 3717.7, respectively. The tetraploid hybrid of the Prata-type CNPMF0906 and the commercial cultivar, which is a hybrid of the BRS Princesa Silk type, showed quantitative resistance and can be used by banana producers. Results suggest that the guidelines adopted for the selection of genotypes resistant to black Sigatoka may include methodologies that reduce the evaluation time. In addition, new sources of resistance to the disease and the influence of its genetic inheritance in future crosses were found.

scholarly journals Sources of black Sigatoka resistance in wild banana diploids

2020 ◽  
Vol 42 (4) ◽  
Author(s):  
Fernanda dos Santos Nascimento ◽  
Yan Moreira Sousa ◽  
Anelita de Jesus Rocha ◽  
Claudia Fortes Ferreira ◽  
Fernando Haddad ◽  
...  
Keyword(s):  
Disease Severity ◽  
Quantitative Resistance ◽  
Selection Index ◽  
Severity Index ◽  
Production Costs ◽  
Black Sigatoka ◽  
Progress Curve ◽  
Wild Banana ◽  
Aa Genome ◽  
Banana Leaves

Abstract Black Sigatoka (black leaf streak disease) is caused by the fungus Mycosphaerella fijiensisMorelet. This phytopathogen colonizes banana leaves, resulting in reduced photosynthesis and decreased productivity. Fungicide applications are useful to control black Sigatoka; however, they increase production costs and can have adverse environmental and health impacts. The cultivation of resistant cultivars is regarded as a more economically viable option. The objective of this study was to perform diploid phenotyping in a set of wild banana accessions to identify resistant genotypes. A total of 31 accessions (30 with AA genome and one with AB genome) were phenotyped based on the presence of disease symptoms using a scoring scale. The area under the disease progress curve (AUDPC), the disease severity index (DI), and the disease severity increase index (DII) were estimated. The DII variable proved to be efficient in identifying banana accessions with black Sigatoka resistance. Likewise, the selection index for ranking accessions with moderate black Sigatoka resistance allowed us to identify those genotypes with the highest quantitative resistance. Five diploid accessions (Krasan Saichon, Zebrina, Birmanie, Nº 118, and Tuu Gia) were found to be resistant to this fungal disease; eight accessions (PA Rayong, Pisang Cici, Malaccensis 1, 028003- 01, Microcarpa, Pisang Lidi, Lilin, and Malbut) were moderately resistant.

scholarly journals Genotype X Environment Response of ‘Matooke’ Hybrids (Naritas) to Pseudocercospora fijiensis, the Cause of Black Sigatoka in Banana

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1145
Author(s):  
Janet Kimunye ◽  
Kennedy Jomanga ◽  
Anthony Fredrick Tazuba ◽  
Evans Were ◽  
Altus Viljoen ◽  
...  
Keyword(s):  
Control Strategy ◽  
Environment Interaction ◽  
Black Sigatoka ◽  
Breeding Programs ◽  
Genotype X Environment ◽  
Progress Curve ◽  
Resource Poor ◽  
Costs Of Disease ◽  
Pseudocercospora Fijiensis ◽  
Over Time

Growing bananas resistant to Pseudocercospora fijiensis, the cause of black Sigatoka, is the preferred disease control strategy for resource-poor farmers. Banana breeding programs in east Africa have developed 27 Matooke hybrids (commonly known as NARITAs) with higher yields than local landraces. To assess the response of NARITA hybrids to P. fijiensis, 22 hybrids were evaluated under natural field conditions in four locations—Kawanda and Mbarara in Uganda, and Maruku, and Mitarula in Tanzania—between 2016 and 2018 for three crop cycles. Black Sigatoka was visually assessed and the area under the disease progress curve calculated for each plant over time. Significant differences (p < 0.001) were observed between genotypes, environments, and their interaction. The highest contributor to black Sigatoka severity (39.1%) was the environment, followed by the genotype (37.5%) and the genotype Χ environment interaction (GEI) (23.4%). NARITA 2, 7, 14, 21 and 23 were resistant and the most stable hybrids across locations. If other attributes such as the yield and taste are acceptable to end-users, these hybrids can be released to farmers in the region to replace highly susceptible landraces. Mitarula was identified as an ideal site for evaluating banana against black Sigatoka and should be used as a representative location to minimize costs of disease evaluations.

scholarly journals RESISTANCE TO LATE BLIGHT OF POTATO CLONES IN SEGREGATING HYBRID POPULATIONS

2020 ◽  
Vol 103 (3) ◽  
pp. 192-196
Author(s):  
N. M. Zoteyeva
Keyword(s):  
Late Blight ◽  
Late Blight Resistance ◽  
Potato Industry ◽  
Solanum Species ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Wild Solanum Species ◽  
Segregating Population ◽  
Late Blight Of Potato ◽  
Selection Of

Late blight remains among the main problems of potato industry. Interspecific hybridization with the wild Solanum species is an efficient way to increase the resistance to this disease, though is accompanied with negative traits. To solve this problem, new sources of resistance, including resistant breeding clones with improved agronomic characteristics, are needed. In the present study, we investigated resistance of three hybrid populations derived from crossesbreeding of resistant original clone SW93-1015×adg with susceptible cultivars: ‘Аurora’, ‘Desirée’ and ‘Valor’. High predominance of the resistant plants was found among the hybrids (SW93-1015×adg)×Aurora and (SW93-1015×adg)בDesirée’. The numbers of resistant and susceptible plants within hybrid Valor’×(SW93-1015×adg) were almost equal. Results showed the efficiency of clone SW93-1015×adg as the late blight resistance source. Within each segregating population, the selection of resistant clones was possible. Clone SW93-1015×adg can be used in breeding programs for the hybridization with susceptible cultivars characterized by other useful characteristics.

scholarly journals Evaluation and Pre-selection of New Grapevine Genotypes Resistant to Downy and Powdery Mildew, Obtained by Cross-Breeding Programs in Spain

2021 ◽  
Vol 12 ◽  
Author(s):  
Leonor Ruiz-García ◽  
Pilar Gago ◽  
Celia Martínez-Mora ◽  
José Luis Santiago ◽  
Diego J. Fernádez-López ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Powdery Mildew ◽  
Simple Sequence Repeat ◽  
Selection Process ◽  
Sequence Repeat ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Phenotypic Resistance ◽  
Simple Sequence ◽  
Selection Of

The need to develop an environmentally friendly, sustainable viticulture model has led to numerous grapevine improvement programmes aiming to increase resistance to downy and powdery mildew. The success of such programmes relies on the availability of protocols that can quantify the resistance/susceptibility of new genotypes, and on the existence of molecular markers of resistance loci that can aid in the selection process. The present work assesses the degree of phenotypic resistance/susceptibility to downy and powdery mildew of 28 new genotypes obtained from crosses between “Monastrell” and “Regent.” Three genotypes showed strong combined resistance, making them good candidates for future crosses with other sources of resistance to these diseases (pyramiding). In general, laboratory and glasshouse assessments of resistance at the phenotype level agreed with the resistance expected from the presence of resistance-associated alleles of simple sequence repeat (SSR) markers for the loci Rpv3 and Ren3 (inherited from “Regent”), confirming their usefulness as indicators of likely resistance to downy and powdery mildew, respectively, particularly so for downy mildew.

scholarly journals Sources of resistance to Pseudocercospora fijiensis , the cause of black Sigatoka in banana

2021 ◽  
Author(s):  
Janet Kimunye ◽  
Evans Were ◽  
Rony Swennen ◽  
Altus Viljoen ◽  
George Mahuku
Keyword(s):  
Black Sigatoka ◽  
Sources Of Resistance ◽  
Pseudocercospora Fijiensis

scholarly journals Pattern Analysis of Sorghum Genotype × Environment Interaction for Leaf, Panicle, and Grain Anthracnose in Mali

Plant Disease ◽  
2002 ◽  
Vol 86 (12) ◽  
pp. 1374-1382 ◽  
Author(s):  
D. E. Hess ◽  
R. Bandyopadhyay ◽  
I. Sissoko
Keyword(s):  
Pattern Analysis ◽  
Environment Interaction ◽  
Colletotrichum Graminicola ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Field Screening ◽  
Disease Progress Curve ◽  
Disease Progress ◽  
Genotype Environment Interaction ◽  
Progress Curve

Resistance to anthracnose, caused by Colletotrichum graminicola, in sorghum was identified through field screening at two locations (Samanko and Longorola) in Mali. The occurrence and progress of anthracnose were monitored on 19 sorghum lines plus resistant and susceptible checks in the 1996 to 1998 rainy seasons. Foliar anthracnose severity was assessed at regular intervals throughout the season. Area under the disease progress curve (AUDPC) was calculated for each genotype. Anthracnose severity was also evaluated on the peduncle, rachis and glumes, panicle, and grain. For the characters under study, the site × year and site × year × line interactions accounted for the genotype × environment interactions. Pattern analysis was applied to the environment-standardized matrix of genotype × environment means to analyze these interactions and elucidate genotypic adaptation. None of the lines was completely (hypersensitive) resistant to the disease, but 12 showed high levels of stable resistance to both foliar and panicle anthracnose. Only one was moderately susceptible to both forms of the disease. In addition to identifying varieties that can be grown in zones to which they are adapted, additional genotypes were identified that can serve as sources of resistance in regional breeding programs.

scholarly journals SOURCES OF RESISTANCE TO Fusarium oxysporum f. sp.cubense IN BANANA GERMPLASM

2018 ◽  
Vol 40 (1) ◽  
Author(s):  
Lindinéia Rios Ribeiro ◽  
Sebastião de Oliveira e Silva ◽  
Saulo Alves Santos de Oliveira ◽  
Edson Perito Amorim ◽  
Janay Almeida Santos Serejo ◽  
...  
Keyword(s):  
Fusarium Oxysporum ◽  
Management Strategy ◽  
Quantitative Resistance ◽  
Genetic Resistance ◽  
Sources Of Resistance ◽  
Panama Disease ◽  
Progress Curve ◽  
Complete Resistance ◽  
New Varieties ◽  
Improvement Programs

ABSTRACT Fusarium wilt (syn= Panama disease), caused by Fusarium oxysporum f. sp. cubense (FOC), is one of the most destructive diseases of banana, being genetic resistance the main management strategy for this disease. Since the pathogen is constantly evolving to supplant the genetic resistance, new sources of resistance must be investigated by genetic improvement programs aiming to developing new varieties. The objective of the present study was to identify sources of resistance from the different accessions maintained in the banana active germplasm bank (BAGB) at Embrapa Mandioca e Fruticultura. Forty-one BAGB accessions were evaluated, including 17 diploids, 21 triploids, and two tetraploids. The area under the disease progress curve, disease index, and incubation period were also evaluated. In relation to FOC resistance, there is genetic variability available among the BAGB accessions. The genotype M53 is notable for the complete resistance it expressed, and the accessions Birmanie, PA Songkla, Pirua, Imperial, Poyo, Ambei, Walebo, and Kongo FRF 1286 expressed quantitative resistance.

ESTIMASI NILAI HERITABILITAS BOBOT IKAN MAS VARIETAS PUNTEN DALAM PROGRAM SELEKSI INDIVIDU

2016 ◽  
Vol 11 (3) ◽  
pp. 217
Author(s):  
Estu Nugroho ◽  
Budi Setyono ◽  
Mochammad Su’eb ◽  
Tri Heru Prihadi
Keyword(s):  
Body Weight ◽  
Selection Response ◽  
Base Population ◽  
Breeding Programs ◽  
Male And Female ◽  
Body Weight Trait ◽  
Population Selection ◽  
Selection For ◽  
Weight Trait ◽  
Selection Of

Program pemuliaan ikan mas varietas Punten dilakukan dengan seleksi individu terhadap karakter bobot ikan. Pembentukan populasi dasar untuk kegiatan seleksi dilakukan dengan memijahkan secara massal induk ikan mas yang terdiri atas 20 induk betina dan 21 induk jantan yang dikoleksi dari daerah Punten, Kepanjen (delapan betina dan enam jantan), Kediri (tujuh betina dan 12 jantan), Sragen (27 betina dan 10 jantan), dan Blitar (15 betina dan 11 jantan). Larva umur 10 hari dipelihara selama empat bulan. Selanjutnya dilakukan penjarangan sebesar 50% dan benih dipelihara selama 14 bulan untuk dilakukan seleksi dengan panduan hasil sampling 250 ekor individu setiap populasi. Seleksi terhadap calon induk dilakukan saat umur 18 bulan pada populasi jantan dan betina secara terpisah dengan memilih berdasarkan 10% bobot ikan yang terbaik. Calon induk yang terseleksi kemudian dipelihara hingga matang gonad, kemudian dipilih sebanyak 150 pasang dan dipijahkan secara massal. Didapatkan respons positif dari hasil seleksi berdasarkan bobot ikan, yaitu 49,89 g atau 3,66% (populasi ikan jantan) dan 168,47 g atau 11,43% (populasi ikan betina). Nilai heritabilitas untuk bobot ikan adalah 0,238 (jantan) dan 0,505 (betina).Punten carp breeding programs were carried out by individual selection for body weight trait. The base population for selection activities were conducted by mass breeding of parent consisted of 20 female and 21 male collected from area Punten, eight female and six male (Kepanjen), seven female and 12 male (Kediri), 27 female and 10 male (Sragen), 15 female and 11 male (Blitar). Larvae 10 days old reared for four moths. Then after spacing out 50% of total harvest, the offspring reared for 14 months for selection activity based on the sampling of 250 individual each population. Selection of broodstock candidates performed since 18 months age on male and female populations separately by selecting based on 10% of fish with best body weight. Candidates selected broodstocks were then maintained until mature. In oder to produce the next generation 150 pairs were sets and held for mass spawning. The results revealed that selection response were positive, 49.89 g (3.66%) for male and 168.47 (11.43%) for female. Heritability for body weight is 0.238 (male) and 0.505 (female).

scholarly journals Combining metabolomic and transcriptomic approaches to assess and improve crop quality traits

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Delphine M. Pott ◽  
Sara Durán-Soria ◽  
Sonia Osorio ◽  
José G. Vallarino
Keyword(s):  
Quality Trait ◽  
Quality Traits ◽  
Crop Species ◽  
Breeding Programs ◽  
Crop Quality ◽  
Crop Varieties ◽  
New Genes ◽  
Technical Advances ◽  
Health Promoting ◽  
Selection Of

AbstractPlant quality trait improvement has become a global necessity due to the world overpopulation. In particular, producing crop species with enhanced nutrients and health-promoting compounds is one of the main aims of current breeding programs. However, breeders traditionally focused on characteristics such as yield or pest resistance, while breeding for crop quality, which largely depends on the presence and accumulation of highly valuable metabolites in the plant edible parts, was left out due to the complexity of plant metabolome and the impossibility to properly phenotype it. Recent technical advances in high throughput metabolomic, transcriptomic and genomic platforms have provided efficient approaches to identify new genes and pathways responsible for the extremely diverse plant metabolome. In addition, they allow to establish correlation between genotype and metabolite composition, and to clarify the genetic architecture of complex biochemical pathways, such as the accumulation of secondary metabolites in plants, many of them being highly valuable for the human diet. In this review, we focus on how the combination of metabolomic, transcriptomic and genomic approaches is a useful tool for the selection of crop varieties with improved nutritional value and quality traits.

scholarly journals Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicole Pretini ◽  
Leonardo S. Vanzetti ◽  
Ignacio I. Terrile ◽  
Guillermo Donaire ◽  
Fernanda G. González
Keyword(s):  
Doubled Haploid ◽  
Marker Assisted Selection ◽  
Triticum Aestivum L ◽  
Physiological Model ◽  
Yield Potential ◽  
Breeding Programs ◽  
Per Se ◽  
Genomic Regions ◽  
Fertility Traits ◽  
Selection Of

Abstract Background In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11 × BioINTA 2002 and Baguette 19 × BioINTA 2002). Results In total 305 QTL were identified for 14 traits, out of which 12 QTL were identified in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confidence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.

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